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Background

Poor dietary patterns and obesity, established risk factors for chronic disease, have been linked to neighborhood deprivation, neighborhood minority composition, and low area population density. Neighborhood differences in access to food may have an important influence on these relationships and health disparities in the U.S. This article reviews research relating to the presence, nature, and implications of neighborhood differences in access to food.

Methods

A snowball strategy was used to identify relevant research studies (n=54) completed in the U.S. and published between 1985 and April 2008.

Results

Research suggests that neighborhood residents who have better access to supermarkets and limited access to convenience stores tend to have healthier diets and lower levels of obesity. Results from studies examining the accessibility of restaurants are less consistent, but there is some evidence to suggest that residents with limited access to fast-food restaurants have healthier diets and lower levels of obesity. National and local studies across the U.S. suggest that residents of low-income, minority, and rural neighborhoods are most often affected by poor access to supermarkets and healthful food. In contrast, the availability of fast-food restaurants and energy-dense foods has been found to be greater in lower-income and minority neighborhoods.

Conclusions

Neighborhood disparities in access to food are of great concern because of their potential to influence dietary intake and obesity. Additional research is needed to address various limitations of current studies, identify effective policy actions, and evaluate intervention strategies designed to promote more equitable access to healthy foods.

Introduction

A growing body of evidence indicates that residential segregation by income, race, and ethnicity contributes to health disparities in the U.S. 1x1Diez Roux, A., Merkin, S., Arnett, D. et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med. 2001; 345: 99–106

Crossref | PubMed | Scopus (620)
| Google ScholarSee all References
, 2x2LaVeist, T. Racial segregation and longevity among African Americans: an individual-level analysis. Health Serv Res. 2003; 38: 1719–1733

Crossref | PubMed
| Google ScholarSee all References
, 3x3Grady, S. Racial disparities in low birthweight and the contribution of residential segregation: a multilevel analysis. Soc Sci Med. 2006; 63: 3013–3029

Crossref | PubMed | Scopus (77)
| Google ScholarSee all References
, 4x4Bell, J., Zimmerman, F., Almgren, G., Mayer, J., and Huebner, C. Birth outcomes among urban African-American women: a multilevel analysis of the role of racial residential segregation. Soc Sci Med. 2006; 63: 3030–3045

Crossref | PubMed | Scopus (75)
| Google ScholarSee all References
, 5x5Jackson, S., Anderson, R., Johnson, N., and Sorlie, P. The relation of residential segregation to all-cause mortality: a study in black and white. Am J Public Health. 2000; 90: 615–617

Crossref | PubMed
| Google ScholarSee all References
, 6x6Lobmayer, P. and Wilkinson, R. Inequality, residential segregation by income, and mortality in U.S. cities. J Epidemiol Community Health. 2002; 56: 183–187

Crossref | PubMed | Scopus (40)
| Google ScholarSee all References
, 7x7Hart, K., Kunitz, S., Sell, R., and Mukamel, D. Metropolitan governance, residential segregation, and mortality among African Americans. Am J Public Health. 1998; 88: 434–438

Crossref | PubMed
| Google ScholarSee all References
In addition, substantial research shows disparities in health between urban and rural areas. 8x8Gamm, L., Hutchinson, L., Dabney, B., and Dorsey, A. Rural Healthy People 2010: a companion document to Healthy People 2010. Volume 2. The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center, College Station Texas; 2003

Google ScholarSee all References
Poor dietary patterns and obesity, established risk factors for chronic disease, have been linked to neighborhood deprivation, neighborhood minority composition, and low area population density (as found in more rural areas). 9x9Rundle, A., Diez Roux, A., Freeman, L., Miller, D., Neckerman, K., and Weiss, C. The urban built environment and obesity in New York City: a multilevel analysis. Am J Health Promot. 2007; 21: 326S–334S

Crossref | PubMed
| Google ScholarSee all References
, 10x10Nelson, M., Gordon-Larsen, P., Song, Y., and Popkin, B. Built and social environments: associations with adolescent overweight and activity. Am J Prev Med. 2006; 31: 109–117

Abstract | Full Text | Full Text PDF | PubMed | Scopus (115)
| Google ScholarSee all References
, 11x11Stimpson, J., Nash, A., Ju, H., and Eschbach, K. Neighborhood deprivation is associated with lower levels of serum carotenoids among adults participating in the Third National Health and Nutrition Examination Survey. J Am Diet Assoc. 2007; 107: 1895–1902

Abstract | Full Text | Full Text PDF | PubMed | Scopus (24)
| Google ScholarSee all References
, 12x12Chang, V. Racial residential segregation and weight status among U.S. adults. Soc Sci Med. 2006; 63: 1289–1303

Crossref | PubMed | Scopus (60)
| Google ScholarSee all References
, 13x13Robert, S. and Reither, E. A multilevel analysis of race, community disadvantage, and body mass index among adults in the U.S.. Soc Sci Med. 2004; 59: 2421–2434

Crossref | PubMed | Scopus (143)
| Google ScholarSee all References
, 14x14Diez Roux, A., Nieto, F., Caulfield, L., Tyroler, H., Watson, R., and Szklo, M. Neighborhood differences in diet: the atherosclerosis risk in communities (ARIC) study. J Epidemiol Community Health. 1999; 53: 55–63

Crossref | PubMed
| Google ScholarSee all References
, 15x15Lopez, R. Neighborhood risk factors for obesity. Obesity. 2007; 15: 2111–2119

Crossref | PubMed | Scopus (64)
| Google ScholarSee all References
Neighborhood differences in access to foods may be an important influence on these relationships. Establishing the presence, nature, and implications of neighborhood differences in the physical availability of more- and less-healthy foods is necessary to properly inform the development of responsive public health policies and interventions that may help reduce inequalities in health.

Recent reviews have drawn attention to relationships among neighborhood food availability, dietary intake, and obesity, but to our knowledge, a detailed review of disparities in food access has not been completed. 16x16Story, M., Kaphingst, K., Robinson-O'Brien, R., and Glanz, K. Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health. 2008; 29: 253–272

Crossref | PubMed | Scopus (262)
| Google ScholarSee all References
, 17x17Black, J. and Macinko, J. Neighborhoods and obesity. Nutr Rev. 2008; 66: 2–20

Crossref | PubMed | Scopus (121)
| Google ScholarSee all References
For this review, neighborhood is broadly defined to be “the area around one's place of residence,” and research relating to both micro- (e.g., stores within walking distance from home) and macro-level characteristics (e.g., restaurants within county boundaries) of the physical food environment are considered. This article briefly reviews the current evidence base regarding (1) the relationship between neighborhood access to more- and less-healthy foods and dietary intake and (2) the relationship between neighborhood access to foods and weight status. In addition, this article presents a comprehensive review of disparities across the U.S. according to income, race, ethnicity, and urbanization in neighborhood access to more- and less-healthy foods. Studies relating to both food stores and restaurants are summarized separately and discussed in terms of their limitations and implications for future research and practice.

Methods

A snowball strategy was used to identify relevant research studies completed in the U.S. and published between 1985 and April 2008. Searches were completed in PubMed and MEDLINE using the following key words: neighborhood; environment; food store; supermarket; restaurant; dietary intake; obesity; overweight; disparity; inequality; deprivation; income; poverty; rural; race; and ethnicity. The references cited in articles (n=43) indexed in these search engines were also checked; and all potentially relevant articles were retrieved. To be included in the review; articles had to describe research that addressed neighborhood access to food stores; restaurants; or the types of food and beverage products available in such outlets. This search strategy identified 54 articles relevant to the review objectives.

Results

Retail Food Stores and Dietary Intake

Supermarkets, as compared to other food stores, tend to offer the greatest variety of high-quality products at the lowest cost. 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 19x19Sallis, J., Nader, P., Rupp, J., Atkins, C., and Wilson, W. San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep. 1986; 101: 216–218

PubMed
| Google ScholarSee all References
, 20x20Glanz, K., Sallis, J., Saelens, B., and Frank, L. Nutrition environment measures survey in stores (NEMS-S): development and evaluation. Am J Prev Med. 2007; 32: 282–289

Abstract | Full Text | Full Text PDF | PubMed | Scopus (127)
| Google ScholarSee all References
, 21x21Block, D. and Kouba, J. A comparison of the availability and affordability of a market basket in two communities in the Chicago area. Public Health Nutr. 2006; 9: 837–845

Crossref | PubMed | Scopus (98)
| Google ScholarSee all References
, 22x22Chung, C. and Myers, J. Do the poor pay more for food? (An analysis of grocery store availability and food price disparities) . J Consum Aff. 1999; 33: 276–296

Crossref
| Google ScholarSee all References
, 23x23Connell, C., Yadrick, K., Simpson, P., Gossett, J., McGee, B., and Bogle, M. Food supply adequacy in the lower Mississippi delta. J Nutr Educ Behav. 2007; 39: 77–83

Abstract | Full Text | Full Text PDF | PubMed | Scopus (30)
| Google ScholarSee all References
In contrast, convenience stores sell mostly prepared, high-calorie foods and little fresh produce, at higher prices. 24x24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
Studies of adults 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 26x26Laraia, B.A., Siega-Riz, A.M., Kaufman, J.S., and Jones, S.J. Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med. 2004; 39: 869–875

Crossref | PubMed | Scopus (160)
| Google ScholarSee all References
, 27x27Rose, D. and Richards, R. Food store access and household fruit and vegetable use among participants in the U.S. food stamp program. Public Health Nutr. 2004; 7: 1081–1088

Crossref | PubMed | Scopus (176)
| Google ScholarSee all References
, 28x28Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality—a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2008; 167: 917–924

Crossref | PubMed | Scopus (130)
| Google ScholarSee all References
, 29x29Wang, M., Cubbin, C., Ahn, D., and Winkleby, M. Changes in neighborhood food store environment, food behaviour and body mass index, 1981–1990. Public Health Nutr. 2008; 11: 963–970

Crossref | PubMed | Scopus (29)
| Google ScholarSee all References
and adolescents 30x30Jago, R., Baranowski, T., Baranowski, J., Cullen, K., and Thompson, D. Distance to food stores and adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007; 4: 35

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
have examined associations between neighborhood access to food stores and intake of fruits and vegetables, calories from dietary fat, and overall diet quality. The majority of these studies suggest that neighborhood residents with better access to supermarkets and other retail stores that provide access to healthful food products tend to have healthier food intakes. 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 26x26Laraia, B.A., Siega-Riz, A.M., Kaufman, J.S., and Jones, S.J. Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med. 2004; 39: 869–875

Crossref | PubMed | Scopus (160)
| Google ScholarSee all References
, 27x27Rose, D. and Richards, R. Food store access and household fruit and vegetable use among participants in the U.S. food stamp program. Public Health Nutr. 2004; 7: 1081–1088

Crossref | PubMed | Scopus (176)
| Google ScholarSee all References
, 28x28Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality—a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2008; 167: 917–924

Crossref | PubMed | Scopus (130)
| Google ScholarSee all References
, 31x31Cheadle, A., Psaty, B.M., Curry, S. et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991; 20: 250–261

Crossref | PubMed | Scopus (155)
| Google ScholarSee all References

Studies among adults have emphasized the potential impact of access to food stores on dietary intake among minority and lower-income populations. For example, one study among 2392 black and 8231 white Americans aged 49–73 years in the Atherosclerosis Risk in Communities (ARIC) Study showed a direct relationship between living in a census tract with at least one supermarket and meeting the U.S. Department of Agriculture and the U.S. Department of Health and Human Services 2000 Dietary Guidelines for fruit and vegetable intake. 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

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| Google ScholarSee all References
The observed relationship was stronger among black Americans than among white Americans. The presence of each additional supermarket was related to a 32% and an 11% increase for blacks and whites, respectively, in meeting guidelines for fruit and vegetable intake. At least three other studies among low-income individuals and households have found that better supermarket access or shopping in a supermarket has a direct, positive relationship to markers of a healthful diet. 26x26Laraia, B.A., Siega-Riz, A.M., Kaufman, J.S., and Jones, S.J. Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med. 2004; 39: 869–875

Crossref | PubMed | Scopus (160)
| Google ScholarSee all References
, 27x27Rose, D. and Richards, R. Food store access and household fruit and vegetable use among participants in the U.S. food stamp program. Public Health Nutr. 2004; 7: 1081–1088

Crossref | PubMed | Scopus (176)
| Google ScholarSee all References
, 32x32Zenk, S., Schulz, A., Hollis-Neely, T. et al. Fruit and vegetable intake in African Americans: income and store characteristics. Am J Prev Med. 2005; 29: 1–9

Abstract | Full Text | Full Text PDF | PubMed | Scopus (137)
| Google ScholarSee all References

Only one study was found in the review that examined associations between access to retail food stores and dietary intake among youth. 30x30Jago, R., Baranowski, T., Baranowski, J., Cullen, K., and Thompson, D. Distance to food stores and adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007; 4: 35

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
Among 204 Boy Scouts (aged 10–14 years) in Texas, fruit and vegetable intake was unrelated to supermarket access but directly related to the distance between home and the nearest convenience store. 30x30Jago, R., Baranowski, T., Baranowski, J., Cullen, K., and Thompson, D. Distance to food stores and adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007; 4: 35

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| Google ScholarSee all References
The study suggests that young adolescents with greater access to convenience stores eat fewer fruits and vegetables; however, no studies in older youth, specifically those with driving privileges, were identified.

A smaller body of research has involved an assessment of what products are sold in retail outlets. Of five studies that examined relationships between the physical availability of healthful food products in community food stores and diet, 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 31x31Cheadle, A., Psaty, B.M., Curry, S. et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991; 20: 250–261

Crossref | PubMed | Scopus (155)
| Google ScholarSee all References
, 33x33Edmonds, J., Baranowski, T., Baranowski, J., Cullen, K., and Myres, D. Ecological and socioeconomic correlates of fruit, juice, and vegetable consumption among African-American boys. Prev Med. 2001; 32: 476–481

Crossref | PubMed | Scopus (52)
| Google ScholarSee all References
, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 35x35Auchincloss, A., Diez-Roux, A., Brown, D., Erdmann, C., and Bertoni, A. Neighborhood resources for physical activity and healthy foods and their association with insulin resistance. Epidemiol. 2008; 19: 146–157

Crossref | PubMed | Scopus (41)
| Google ScholarSee all References
four reported that greater availability was related to either higher intake or greater home availability of the same foods. 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 31x31Cheadle, A., Psaty, B.M., Curry, S. et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991; 20: 250–261

Crossref | PubMed | Scopus (155)
| Google ScholarSee all References
, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 35x35Auchincloss, A., Diez-Roux, A., Brown, D., Erdmann, C., and Bertoni, A. Neighborhood resources for physical activity and healthy foods and their association with insulin resistance. Epidemiol. 2008; 19: 146–157

Crossref | PubMed | Scopus (41)
| Google ScholarSee all References
One illustrative study in a random sample of 102 individuals in New Orleans found that each additional linear meter of vegetable shelf space in local small food stores (within 100 meters or one city block of a residence) was related to an increase in vegetable intake of 0.35 daily servings. 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
A trend was also found relating the availability of more fresh vegetable varieties in local stores to greater vegetable consumption. No similar relationships were found for fruit.

Retail Food Stores and Risk for Obesity

Associations between residential access to retail food stores and risk for obesity have been examined among adults, 28x28Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality—a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2008; 167: 917–924

Crossref | PubMed | Scopus (130)
| Google ScholarSee all References
, 29x29Wang, M., Cubbin, C., Ahn, D., and Winkleby, M. Changes in neighborhood food store environment, food behaviour and body mass index, 1981–1990. Public Health Nutr. 2008; 11: 963–970

Crossref | PubMed | Scopus (29)
| Google ScholarSee all References
, 36x36Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
, 37x37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339

Abstract | Full Text | Full Text PDF | PubMed | Scopus (267)
| Google ScholarSee all References
, 38x38Inagami, S., Cohen, D., Finch, B., and Asch, S. You are where you shop (Grocery store locations, weight, and neighborhoods) . Am J Prev Med. 2006; 31: 10–17

Abstract | Full Text | Full Text PDF | PubMed | Scopus (118)
| Google ScholarSee all References
adolescents, 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
and children. 40x40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325

Crossref | PubMed
| Google ScholarSee all References
, 41x41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
Despite some inconsistencies, several studies have shown that better access to a supermarket is related to reduced risk for obesity, 37x37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339

Abstract | Full Text | Full Text PDF | PubMed | Scopus (267)
| Google ScholarSee all References
, 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
, 40x40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325

Crossref | PubMed
| Google ScholarSee all References
whereas greater access to convenience stores is related to increased risk for obesity. 37x37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339

Abstract | Full Text | Full Text PDF | PubMed | Scopus (267)
| Google ScholarSee all References
, 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
For example, a study in more than 10,000 adults residing in one of four geographic areas (MS, NC, MD, or MN) found census tracts with access to supermarkets (large, corporate-owned chain food stores) alone or to supermarkets and grocery stores (medium-sized, non–corporate-owned food stores) had the lowest levels of obesity (21%). 37x37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339

Abstract | Full Text | Full Text PDF | PubMed | Scopus (267)
| Google ScholarSee all References
The highest levels of obesity (32%–40%) were observed in census tracts with no supermarkets, with access to only grocery stores or grocery and convenience stores (32%–40%). These relationships were evident despite adjustment for several characteristics of individuals and neighborhoods, including gender, race and ethnicity, income, education, physical activity, and the availability of other retail food stores. Two 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
, 40x40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325

Crossref | PubMed
| Google ScholarSee all References
of three 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
, 40x40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325

Crossref | PubMed
| Google ScholarSee all References
, 41x41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
studies in children and adolescents have reported similar findings, indicating that better supermarket access is related to reduced risk for obesity.

Retail Food Stores and Access Inequalities

Given the research indicating that better access to supermarkets and large chain grocery stores contributes to healthier dietary patterns and reduced risk for obesity, neighborhood disparities in store access are of concern. Despite some inconsistencies, several U.S. studies have shown that residents of rural, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 42x42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
, 43x43Morton, L. and Blanchard, T. Starved for access: life in rural America's food deserts. Rural Realities. 2007; 1 (www.ruralsociology.org)

Google ScholarSee all References
, 44x44Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Development Perspectives. 1998; 13: 19–26

Google ScholarSee all References
, 45x45Liese, A., Weis, K., Pluto, D., Smith, E., and Lawson, A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007; 107: 1916–1923

Abstract | Full Text | Full Text PDF | PubMed | Scopus (107)
| Google ScholarSee all References
, 46x46Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627

PubMed
| Google ScholarSee all References
low-income, 22x22Chung, C. and Myers, J. Do the poor pay more for food? (An analysis of grocery store availability and food price disparities) . J Consum Aff. 1999; 33: 276–296

Crossref
| Google ScholarSee all References
, 24x24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 42x42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
, 47x47Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov)

PubMed
| Google ScholarSee all References
, 48x48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
, 49x49Shaffer, A. The persistence of L.A.'s grocery gap: the need for a new food policy and approach to market development. Center for Food and Justice, Urban and Environmental Policy Institute (UEPI), Occidental College. www.departments.oxy.edu/uepi/publications/the_persistence_of.htm; 2002.

Google ScholarSee all References
, 50x50Alwitt, L. and Donley, T. Retail stores in poor urban neighborhoods. J Consum Aff. 1997; 31: 139–164

Crossref
| Google ScholarSee all References
, 51x51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
, 52x52Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331

Crossref | PubMed | Scopus (256)
| Google ScholarSee all References
, 53x53Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44

Abstract | Full Text | Full Text PDF | PubMed | Scopus (150)
| Google ScholarSee all References
, 54x54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
and minority 21x21Block, D. and Kouba, J. A comparison of the availability and affordability of a market basket in two communities in the Chicago area. Public Health Nutr. 2006; 9: 837–845

Crossref | PubMed | Scopus (98)
| Google ScholarSee all References
, 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 42x42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
, 47x47Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov)

PubMed
| Google ScholarSee all References
, 48x48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
, 49x49Shaffer, A. The persistence of L.A.'s grocery gap: the need for a new food policy and approach to market development. Center for Food and Justice, Urban and Environmental Policy Institute (UEPI), Occidental College. www.departments.oxy.edu/uepi/publications/the_persistence_of.htm; 2002.

Google ScholarSee all References
, 51x51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
, 52x52Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331

Crossref | PubMed | Scopus (256)
| Google ScholarSee all References
, 54x54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
, 55x55Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489

Crossref | PubMed | Scopus (103)
| Google ScholarSee all References
, 56x56Hosler, A., Varadarajulu, D., Ronsani, A., Fredrick, B., and Fisher, B. Low-fat milk and high-fiber bread availability in food stores in urban and rural communities. J Public Health Manag Pract. 2006; 12: 556–562

Crossref | PubMed
| Google ScholarSee all References
, 57x57Sloane, D., Diamount, A., Lewis, L. et al. Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med. 2003; 18: 568–575

Crossref | PubMed | Scopus (110)
| Google ScholarSee all References
, 58x58Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
communities are most often affected by poor access to supermarkets, chain grocery stores, and healthful food products (Appendix A, online at www.ajpm-online.net). Although not all studies have been able to compare rural and urban communities directly, 44x44Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Development Perspectives. 1998; 13: 19–26

Google ScholarSee all References
, 46x46Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627

PubMed
| Google ScholarSee all References
strong evidence of such disparities was found in a national study representing more than 28,000 ZIP codes across the U.S. 42x42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
The findings showed that rural and farm areas had 14% fewer chain supermarkets than urban areas. ZIP codes representing low-income areas had only 75% as many chain supermarkets available as ZIP codes representing middle-income areas. Stark racial and ethnic disparities were also demonstrated; the availability of chain supermarkets in predominantly black neighborhoods was found to be roughly one half that in their counterpart white neighborhoods. ZIP codes with higher proportions of Hispanic residents had only 32% as many chain supermarkets available as primarily non-Hispanic neighborhoods.

Some research suggests that disparities according to race and ethnicity may be more prevalent in low-income neighborhoods. A study in metropolitan Detroit showed that the distance to the nearest supermarket was similar across census tracts with ≤5% of residents in poverty, regardless of racial composition. 51x51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
However, when census tracts with ≥17% of residents in poverty were compared, predominantly black census tracts were on average 1.1 miles farther from the nearest supermarket than were white census tracts. Several studies utilizing in-store observations have shown greater availability and higher quality of fresh produce, low-fat dairy products and snacks, lean meats, and high-fiber bread in predominantly white areas than in nonwhite areas. 24x24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
, 34x34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
, 48x48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
, 55x55Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489

Crossref | PubMed | Scopus (103)
| Google ScholarSee all References
, 56x56Hosler, A., Varadarajulu, D., Ronsani, A., Fredrick, B., and Fisher, B. Low-fat milk and high-fiber bread availability in food stores in urban and rural communities. J Public Health Manag Pract. 2006; 12: 556–562

Crossref | PubMed
| Google ScholarSee all References
, 57x57Sloane, D., Diamount, A., Lewis, L. et al. Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med. 2003; 18: 568–575

Crossref | PubMed | Scopus (110)
| Google ScholarSee all References
For example, research in two racially and economically diverse areas of Brooklyn examined the availability of produce across food store types in 166 randomly sampled stores. 55x55Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489

Crossref | PubMed | Scopus (103)
| Google ScholarSee all References
The study showed that the majority of inventoried fresh produce varieties (25 of 39) were more widely available in predominantly white neighborhoods than in racially mixed or predominantly black neighborhoods.

Research in adolescents indicating that greater access to convenience stores may contribute to less-healthy food choices and to a greater risk for obesity suggests the need for concern regarding disparities in neighborhoods near schools. 30x30Jago, R., Baranowski, T., Baranowski, J., Cullen, K., and Thompson, D. Distance to food stores and adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007; 4: 35

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
, 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
At least two studies have reported differences according to income, race, or ethnicity in the availability of food stores in school neighborhoods. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
, 60x60Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
The findings showed that a greater number of convenience stores were located near secondary schools in low- versus high-income census tracts and in racial/ethnic-minority versus predominantly white census tracts. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
, 60x60Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
For example, one study reported 50% fewer convenience stores near (within 0.5 miles) schools in high-income census tracts than in low-income census tracts. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
Racially mixed census tracts contained 19% more convenience stores near (within 0.5 miles) schools than predominantly white census tracts.

Restaurants and Dietary Intake

Meals and snacks consumed at restaurants account for nearly half of U.S. food expenditures, and diners are expected to spend $558 billion at U.S. restaurants in 2008. 61x61National Restaurant Association. Restaurant Industry Facts. www.restaurant.org; 2008.

Google ScholarSee all References
Restaurant meals tend to be more calorie-dense and of poorer nutritional quality than foods and beverages consumed at home. 62x62Lin, B.-H., Guthrie, J., and Frazao, E. Away-from-home foods increasingly important to quality of American Diet (U.S. Department of Agriculture, Economic Research Service, Agriculture Information Bulletin no. 749 1999) . www.ers.usda.gov/Publications.

Google ScholarSee all References
, 63x63Prentice, A.M. and Jebb, S.A. Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev. 2003; 4: 187–194

Crossref | PubMed | Scopus (237)
| Google ScholarSee all References
Many consumers lack access to the nutritional information they need to help them make healthful choices at restaurants. Federal and most state laws currently do not require restaurants to provide nutritional information, and nearly half of all restaurants do not provide this information to consumers. 64x64Wootan, M. and Osborn, M. Availability of nutrition information from chain restaurants in the United States. Am J Prev Med. 2006; 30: 266–268

Abstract | Full Text | Full Text PDF | PubMed | Scopus (34)
| Google ScholarSee all References
Several studies in adults, 65x65French, S., Harnack, L., and Jeffery, R. Fast food restaurant use among women in the pound of prevention study: dietary, behavioral and demographic correlates. Int J Obes. 2000; 24: 1353–1359

Crossref | PubMed
| Google ScholarSee all References
, 66x66Satia, J., Galanko, J., and Siega-Riz, A. Eating at fast-food restaurants is associated with dietary intake, demographic, psychosocial and behavioural factors among African Americans in North Carolina. Public Health Nutr. 2004; 7: 1089–1096

Crossref | PubMed | Scopus (106)
| Google ScholarSee all References
, 67x67Paeratakul, S., Ferdinand, D., Champagne, C., Ryan, D., and Bray, G. Fast-food consumption among U.S. adults and children: dietary and nutrient intake profile. J Am Diet Assoc. 2003; 103: 1332–1338

Abstract | Full Text | Full Text PDF | PubMed | Scopus (243)
| Google ScholarSee all References
, 68x68Bowman, S. and Vinyard, B. Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004; 23: 163–168

Crossref | PubMed
| Google ScholarSee all References
adolescents, 69x69French, S., Story, M., Neumark-Sztainer, D., Fulkerson, J., and Hannan, P. Fast food restaurant use among adolescents: associations with nutrient intake, food choices, behavioral and psychosocial variables. Int J Obesity. 2001; 25: 1823–1833

Crossref | Scopus (297)
| Google ScholarSee all References
, 70x70Schmidt, M., Affenito, S., Striegel-Moore, R. et al. Fast-food intake and diet quality in black and white girls. Arch Pediatr Adolesc Med. 2005; 159: 626–631

Crossref | PubMed | Scopus (79)
| Google ScholarSee all References
, 71x71Befort, C., Kaur, H., Nollen, N. et al. Fruit, vegetable, and fat intake among non-Hispanic black and non-Hispanic white adolescents: associations with home availability and food consumption settings. J Am Diet Assoc. 2006; 106: 367–373

Abstract | Full Text | Full Text PDF | PubMed | Scopus (61)
| Google ScholarSee all References
, 72x72Wiecha, J., Finkelstein, D., Troped, P., Fragala, M., and Peterson, K. School vending machine use and fast-food restaurant use are associated with sweetened beverage intake in youth. J Am Diet Assoc. 2006; 106: 1624–1630

Abstract | Full Text | Full Text PDF | PubMed | Scopus (63)
| Google ScholarSee all References
and children 67x67Paeratakul, S., Ferdinand, D., Champagne, C., Ryan, D., and Bray, G. Fast-food consumption among U.S. adults and children: dietary and nutrient intake profile. J Am Diet Assoc. 2003; 103: 1332–1338

Abstract | Full Text | Full Text PDF | PubMed | Scopus (243)
| Google ScholarSee all References
, 73x73Bowman, S., Gortmaker, S., Ebbeling, C., Pereira, M., and Ludwig, D. Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics. 2004; 113: 112–118

Crossref | PubMed | Scopus (386)
| Google ScholarSee all References
have related frequent eating outside the home to higher intakes of fat, sodium, and soft drinks, and to lower intakes of nutrient-dense foods such as fruits, vegetables, and milk.

More recently, a limited number of research studies in children, 74x74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005

Crossref
| Google ScholarSee all References
adolescents, 74x74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005

Crossref
| Google ScholarSee all References
, 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
and adults 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 76x76Maddock, J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot. 2004; 19: 137–143

Crossref | PubMed
| Google ScholarSee all References
, 77x77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133

Abstract | Full Text | Full Text PDF | PubMed | Scopus (75)
| Google ScholarSee all References
have found that the area availability of restaurants and restaurant food prices are related to dietary intake. Although access to full-service restaurants has been shown to be related to some improvements in dietary intake, lower fast-food prices, which enable greater consumption, have been shown to be related to some markers of a poor diet. For example, a large, nationally representative study in 72,854 adolescents examined the extent to which restaurant density and meal prices were associated with fruit and vegetable consumption. 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
Results indicated that better access to full-service restaurants was related to a greater likelihood of fruit and vegetable consumption on all or most days. In contrast, a 10% increase in the price of a fast-food meal was related to a 3% increase in the probability of regular fruit and vegetable consumption.

Restaurants and Risk for Obesity

Research suggests that eating more food from restaurants, particularly fast-food restaurants, is related to greater weight gain and obesity. 65x65French, S., Harnack, L., and Jeffery, R. Fast food restaurant use among women in the pound of prevention study: dietary, behavioral and demographic correlates. Int J Obes. 2000; 24: 1353–1359

Crossref | PubMed
| Google ScholarSee all References
, 66x66Satia, J., Galanko, J., and Siega-Riz, A. Eating at fast-food restaurants is associated with dietary intake, demographic, psychosocial and behavioural factors among African Americans in North Carolina. Public Health Nutr. 2004; 7: 1089–1096

Crossref | PubMed | Scopus (106)
| Google ScholarSee all References
, 68x68Bowman, S. and Vinyard, B. Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004; 23: 163–168

Crossref | PubMed
| Google ScholarSee all References
, 78x78Niemeier, H., Raynor, H., Lloyd-Richardson, E., Rogers, M., and Wing, R. Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006; 39: 842–849

Abstract | Full Text | Full Text PDF | PubMed | Scopus (119)
| Google ScholarSee all References
, 79x79Binkley, J., Eales, J., and Jekanowski, M. The relation between dietary change and rising U.S. obesity. Int J Obesity. 2000; 24: 1032–1039

Crossref
| Google ScholarSee all References
, 80x80Pereira, M., Kartashov, A., Ebbeling, C. et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005; 365: 36–42

Abstract | Full Text | Full Text PDF | PubMed | Scopus (415)
| Google ScholarSee all References
, 81x81Thompson, O., Ballew, C., Resnicow, K. et al. Food purchased away from home as a predictor of change in BMI z-score among girls. Int J Obes Relat Metab Disord. 2004; 28: 282–289

PubMed
| Google ScholarSee all References
, 82x82McCrory, M., Fuss, P., Hays, N., Vinken, A., Greenberg, A., and Roberts, S. Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19 to 80. Obes Res. 1999; 7: 564–571

Crossref | PubMed
| Google ScholarSee all References
, 83x83Duffey, K., Gordon-Larsen, P., Jacobs, D., Williams, O., and Popkin, B. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the coronary artery risk development in young adults study. Am J Clin Nutr. 2007; 85: 201–208

PubMed
| Google ScholarSee all References
, 84x84Chou, S.Y., Grossman, M., and Saffer, H. An economic analysis of adult obesity: results from the behavioral risk factor surveillance system. J Health Econ. 2004; 23: 565–587

Crossref | PubMed | Scopus (306)
| Google ScholarSee all References
However, studies examining the relationship between fast-food restaurant availability and obesity have reported mixed results. 41x41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
, 74x74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005

Crossref
| Google ScholarSee all References
, 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
, 76x76Maddock, J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot. 2004; 19: 137–143

Crossref | PubMed
| Google ScholarSee all References
, 77x77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133

Abstract | Full Text | Full Text PDF | PubMed | Scopus (75)
| Google ScholarSee all References
, 85x85Burdette, H.L. and Whitaker, R.C. Neighborhood playgrounds, fast food restaurants, and crime: relationships to overweight in low-income preschool children. Prev Med. 2004; 38: 57–63

Crossref | PubMed | Scopus (172)
| Google ScholarSee all References
, 86x86Jeffery, R.W., Baxter, J., McGuire, M., and Linde, J. Are fast food restaurants an environmental risk factor for obesity?. Int J Behav Nutr Phys Act. 2006; 3: 2

Crossref | PubMed | Scopus (167)
| Google ScholarSee all References
Three nationally representative state- and county-level analyses of fast-food availability and obesity levels in U.S. adults 76x76Maddock, J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot. 2004; 19: 137–143

Crossref | PubMed
| Google ScholarSee all References
, 77x77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133

Abstract | Full Text | Full Text PDF | PubMed | Scopus (75)
| Google ScholarSee all References
and children 74x74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005

Crossref
| Google ScholarSee all References
have reported a direct relationship; areas ranking lowest in obesity tend to have more residents per operating fast-food restaurant. Four other studies that focused on smaller land area units (e.g., within a ZIP code or within 2 miles of home) have also examined fast-food availability and obesity levels but reported no evidence of a relationship. 41x41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
, 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
, 85x85Burdette, H.L. and Whitaker, R.C. Neighborhood playgrounds, fast food restaurants, and crime: relationships to overweight in low-income preschool children. Prev Med. 2004; 38: 57–63

Crossref | PubMed | Scopus (172)
| Google ScholarSee all References
, 86x86Jeffery, R.W., Baxter, J., McGuire, M., and Linde, J. Are fast food restaurants an environmental risk factor for obesity?. Int J Behav Nutr Phys Act. 2006; 3: 2

Crossref | PubMed | Scopus (167)
| Google ScholarSee all References
Studies examining full-service restaurant availability and obesity have reported no evidence of a relationship, 41x41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
, 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
, 86x86Jeffery, R.W., Baxter, J., McGuire, M., and Linde, J. Are fast food restaurants an environmental risk factor for obesity?. Int J Behav Nutr Phys Act. 2006; 3: 2

Crossref | PubMed | Scopus (167)
| Google ScholarSee all References
and in at least one case, higher restaurant density was associated with lower risk for obesity. 77x77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133

Abstract | Full Text | Full Text PDF | PubMed | Scopus (75)
| Google ScholarSee all References

Restaurants and Access Inequalities

Given the identified associations between restaurant access and dietary intake and obesity, other research indicating that fast-food and full-service restaurants may be concentrated in neighborhoods according to their racial and socioeconomic composition is of concern. The majority of U.S. studies 54x54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
, 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
, 60x60Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
, 87x87Block, J.P., Scribner, R.A., and DeSalvo, K.B. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med. 2004; 27: 211–217

Abstract | Full Text | Full Text PDF | PubMed | Scopus (0)
| Google ScholarSee all References
, 88x88Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673

Crossref | PubMed | Scopus (113)
| Google ScholarSee all References
, 89x89Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States (associations with neighborhood characteristics) . Am J Prev Med. 2007; 33: S240–S245

Abstract | Full Text | Full Text PDF | PubMed | Scopus (93)
| Google ScholarSee all References
have shown the availability of fast-food restaurants to be greater in lower-income and minority neighborhoods than in high-income and predominantly white neighborhoods (Appendix B, online at www.ajpm-online.net). For example, a nationally representative study that examined the availability of restaurants across more than 28,000 U.S. ZIP codes found considerable disparities despite adjustments for population size, urbanization, and region. 89x89Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States (associations with neighborhood characteristics) . Am J Prev Med. 2007; 33: S240–S245

Abstract | Full Text | Full Text PDF | PubMed | Scopus (93)
| Google ScholarSee all References
In comparison to high-income ZIP code areas, lower-income ZIP code areas were found to have 1.2 times the number of full-service restaurants and 1.3 times the number of fast-food restaurants. Among urban neighborhoods, ZIP codes in predominantly black areas were found to have a higher proportion of fast-food restaurants among all available restaurants than ZIP codes in predominantly white areas.

A small number of research studies have also found that restaurants in affluent neighborhoods provide a greater number of healthy menu options than restaurants located in lower-income neighborhoods. 47x47Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov)

PubMed
| Google ScholarSee all References
, 88x88Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673

Crossref | PubMed | Scopus (113)
| Google ScholarSee all References
One study conducted in South Los Angeles CA examined promotions and the availability, quality, and preparation of food in 659 restaurants across 19 ZIP codes. 88x88Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673

Crossref | PubMed | Scopus (113)
| Google ScholarSee all References
The results showed that almost 40% of restaurants in affluent ZIP code areas provided patrons with five or more healthy preparation options (e.g., broiled, baked, or boiled food) in contrast to only 27% of restaurants in lower-income areas. Similarly, 42% of restaurants in affluent areas offered at least five healthy food choices (e.g., green salad, brown rice, fresh fruit) in contrast to only 36% in lower-income areas.

In addition to the research regarding disparities across residential neighborhoods, at least three studies have reported differences according to income, race, or ethnicity in the availability of fast-food restaurants located in school neighborhoods. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
, 60x60Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
, 90x90Simon, P., Dwan, K., Angelescu, A., Shih, M., and Fielding, J. Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?. Prev Med. 2008; 47: 284–288

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
Given the considerable time that adolescents spend in and around schools, the food environment surrounding schools may influence their eating patterns. Research suggests that fast-food restaurants tend to be clustered in school neighborhoods; nationwide, 37% of schools are within walking distance of at least one fast-food restaurant. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
, 91x91Kipke, M., Iverson, E., Moore, D. et al. Food and park environments: neighborhood-level risks for childhood obesity in East Los Angeles. J Adolesc Health. 2007; 40: 325–333

Abstract | Full Text | Full Text PDF | PubMed | Scopus (66)
| Google ScholarSee all References
, 92x92Austin, S., Melly, S., Sanchez, B., Patel, A., Buka, S., and Gortmaker, S. Clustering of fast-food restaurants around schools: a novel application of spatial statistics to the study of food environments. Am J Public Health. 2005; 95: 1575–1581

Crossref | PubMed | Scopus (137)
| Google ScholarSee all References
Further, there is some evidence that a greater number of fast-food restaurants are located near secondary schools in low- versus high-income and in racially mixed versus predominantly white census tracts. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
For example, in one study, there were 32% fewer fast-food restaurants near (within 0.5 miles) schools in high- versus low-income census tracts. 59x59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References

Discussion

The aim of this review is to describe and evaluate research relating to neighborhood differences in the physical availability of food stores, restaurants, and healthy foods. Associations of neighborhood food access with dietary intake and obesity were found to vary according to the type of food store or restaurant. In general, research suggests that neighborhood residents who have better access to supermarkets and limited access to convenience stores tend to have healthier diets and lower levels of obesity. 18x18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420

Crossref | PubMed | Scopus (104)
| Google ScholarSee all References
, 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 26x26Laraia, B.A., Siega-Riz, A.M., Kaufman, J.S., and Jones, S.J. Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med. 2004; 39: 869–875

Crossref | PubMed | Scopus (160)
| Google ScholarSee all References
, 27x27Rose, D. and Richards, R. Food store access and household fruit and vegetable use among participants in the U.S. food stamp program. Public Health Nutr. 2004; 7: 1081–1088

Crossref | PubMed | Scopus (176)
| Google ScholarSee all References
, 31x31Cheadle, A., Psaty, B.M., Curry, S. et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991; 20: 250–261

Crossref | PubMed | Scopus (155)
| Google ScholarSee all References
, 36x36Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
, 37x37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339

Abstract | Full Text | Full Text PDF | PubMed | Scopus (267)
| Google ScholarSee all References
, 38x38Inagami, S., Cohen, D., Finch, B., and Asch, S. You are where you shop (Grocery store locations, weight, and neighborhoods) . Am J Prev Med. 2006; 31: 10–17

Abstract | Full Text | Full Text PDF | PubMed | Scopus (118)
| Google ScholarSee all References
, 39x39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307

Abstract | Full Text | Full Text PDF | PubMed | Scopus (144)
| Google ScholarSee all References
, 40x40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325

Crossref | PubMed
| Google ScholarSee all References
Studies that examined the accessibility of restaurants produced less consistent findings; however, some evidence suggests that neighborhood residents who have better access to full-service restaurants and greater cost barriers to fast-food consumption have healthier diets and lower levels of obesity. 25x25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
, 74x74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005

Crossref
| Google ScholarSee all References
, 75x75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48

Crossref | PubMed | Scopus (48)
| Google ScholarSee all References
, 76x76Maddock, J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot. 2004; 19: 137–143

Crossref | PubMed
| Google ScholarSee all References
, 77x77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133

Abstract | Full Text | Full Text PDF | PubMed | Scopus (75)
| Google ScholarSee all References
Much of the evidence suggesting a relationship between restaurant accessibility and obesity levels in the U.S. has come from research that focused on land area units larger than neighborhoods (e.g., states, counties). National and local studies across the U.S. have shown disparities according to income, race, ethnicity, and urbanization in neighborhood access to food stores and restaurants. Although additional studies are needed to address various research limitations, completed studies indicate a need for policy action and other intervention strategies to ensure equitable access to healthy foods across the U.S. Recommendations for future research on disparities in access to healthy foods are summarized in Appendix C (online at www.ajpm-online.net).

Common limitations of the studies reviewed here relate to: the validity and reliability of measures; the complexity of defining a relevant neighborhood; and the cross-sectional, observational nature of most research designs. The majority of studies included in this review used commercially (e.g., Dun and Bradstreet, InfoUSA) or publicly available lists (e.g., telephone directories, state departments of agriculture) to identify food stores and restaurants. Few studies identified stores or restaurants by ground truthing or with walking surveys, and only one study was found that reported a detailed comparison of these two methods for measuring residential food environments. That single study reported a considerable discrepancy between the stores found on publicly available lists and the results of ground truthing in rural Texas; nearly 20% of stores on publicly available lists could not be verified, and 36% of stores in the area were missing from those lists. 46x46Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627

PubMed
| Google ScholarSee all References
Using data from only publicly available lists would have led to overestimations of the distance to the nearest supermarket in nearly 34% of the census block groups and to the nearest convenience store in 13% of the census block groups. Additional studies are needed to determine the potential impact of errors in commercially and publicly available lists on research findings. Research conducted to validate a commercial database of physical activity facilities found only moderate to poor agreement when the database locations were compared to locations determined by a field census; the authors concluded that the patterns of error observed were likely to bias environment–health associations toward the null. 93x93Boone, J., Gordon-Larsen, P., Stewart, J., and Popkin, B. Validation of a GIS facilities database: quantification and implications of error. Ann Epidemiol. 2008; 18: 371–377

Abstract | Full Text | Full Text PDF | PubMed | Scopus (41)
| Google ScholarSee all References
It may be advisable to use a combination of measures and data sources, when feasible, to reduce errors in the identification of food stores and restaurants.

The common use of automatic geocoding tools (i.e., ArcGIS, Automatch, ZP4, Geolytics, and other software that perform batch or interactive address matching) is of further concern. The geocoding process is vulnerable to various types of error that may be introduced during the preprocessing and matching of addresses to spatial areas. 94x94Yang, D.-H., Bilaver, L., Hayes, O., and Goerge, R. Improving geocoding practices: evaluation of geocoding tools. J Med Syst. 2004; 28: 361–370

Crossref | PubMed | Scopus (31)
| Google ScholarSee all References
A few studies have reported address match rates, 51x51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
, 58x58Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
but very little is known about matching accuracy or the potential impact of positional errors on research findings relating to the food environment. Studies comparing automatic geocoding tools have found considerable variation in the assignment of addresses to census block groups and census tracts. For example, one study found that 28%–36% of addresses geocoded by different tools were not assigned to the same census block group, and 33%–51% of residential addresses were not assigned to the same census tract. 94x94Yang, D.-H., Bilaver, L., Hayes, O., and Goerge, R. Improving geocoding practices: evaluation of geocoding tools. J Med Syst. 2004; 28: 361–370

Crossref | PubMed | Scopus (31)
| Google ScholarSee all References
Other studies have further examined the positional accuracy of automated geocoding tools by comparing the assigned latitude and longitude coordinates to assignments determined using the gold-standard method of aerial orthoimagery and found sizable error, especially in rural areas. 95x95Schootman, M., Sterling, D., Struthers, J. et al. Positional accuracy and geographic bias of four methods of geocoding in epidemiologic research. Ann Epidemiol. 2007; 17: 464–470

Abstract | Full Text | Full Text PDF | PubMed | Scopus (29)
| Google ScholarSee all References
, 96x96Cayo, M. and Talbot, T. Positional error in automated geocoding of residential addresses. Int J Health Geogr. 2003; 2: 10

Crossref | PubMed | Scopus (117)
| Google ScholarSee all References

Discrepancies between researcher- and resident-defined neighborhood boundaries may be a source of bias in studies relating to food access. 97x97Coulton, C., Korbin, J., Chan, T., and Su, M. Mapping residents' perceptions of neighborhood boundaries: a methodological note. Am J Community Psychol. 2001; 29: 371–383

Crossref | PubMed | Scopus (134)
| Google ScholarSee all References
, 98x98Weiss, L., Ompad, D., Galea, S., and Vlahov, D. Defining neighborhood boundaries for urban health research. Am J Prev Med. 2007; 32: S154–S159

Abstract | Full Text | Full Text PDF | PubMed | Scopus (34)
| Google ScholarSee all References
Research regarding perceptions of neighborhood boundaries has shown that resident-defined neighborhoods are, on average, four times larger than a census block group. 97x97Coulton, C., Korbin, J., Chan, T., and Su, M. Mapping residents' perceptions of neighborhood boundaries: a methodological note. Am J Community Psychol. 2001; 29: 371–383

Crossref | PubMed | Scopus (134)
| Google ScholarSee all References
The average size of a resident-defined neighborhood is comparable to a census tract, but neighborhoods typically include portions of at least two census tracts. Clearly, researchers cannot assume that resident- and census-defined neighborhoods are similar. Discrepancies could result in measurable differences in the social conditions (e.g., ethnic/racial composition, average income) occurring within a neighborhood.

A limited number of studies have considered the distance that residents typically travel beyond their neighborhood to purchase food. 24x24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
, 36x36Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
, 51x51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
, 53x53Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44

Abstract | Full Text | Full Text PDF | PubMed | Scopus (150)
| Google ScholarSee all References
, 87x87Block, J.P., Scribner, R.A., and DeSalvo, K.B. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med. 2004; 27: 211–217

Abstract | Full Text | Full Text PDF | PubMed | Scopus (0)
| Google ScholarSee all References
Among these studies, the definition of a relevant shopping area has ranged from 0.5 to 15 miles. The availability of food along routes to work, school, and other destinations may further influence dietary intake and obesity. Different methods of geocoding and varied buffer sizes could result in substantially different datasets on which study results and recommendations are based. Future research needs to illuminate which food environment areas are most influential and what factors, other than physical proximity, influence people's choices of where to purchase food. Further development of standard measurement protocols and greater reporting on details of the geocoding process are needed in future research studies in order to provide a basis for comparing study outcomes (Appendix C, online at www.ajpm-online.net). 99x99Forsyth, A., Schmitz, K., Oakes, M., Zimmerman, J., and Koepp, J. Standards for environmental measurements using GIS: toward a protocol for protocols. J Phys Act Health. 2006; 3: S241–S257

Google ScholarSee all References

Comparability across studies also depends on the use of standard definitions to classify food stores and restaurants into categories. As summarized in Appendix A, Appendix B (online at www.ajpm-online.net), the studies described in this review have defined categories of food stores and restaurants in various ways. For example, some studies have defined categories of food stores according to the number of cash registers whereas others have categorized stores according to the number of staff employed, the types of food sold, name recognition, or annual sales data. 43x43Morton, L. and Blanchard, T. Starved for access: life in rural America's food deserts. Rural Realities. 2007; 1 (www.ruralsociology.org)

Google ScholarSee all References
, 44x44Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Development Perspectives. 1998; 13: 19–26

Google ScholarSee all References
, 45x45Liese, A., Weis, K., Pluto, D., Smith, E., and Lawson, A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007; 107: 1916–1923

Abstract | Full Text | Full Text PDF | PubMed | Scopus (107)
| Google ScholarSee all References
, 48x48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
, 55x55Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489

Crossref | PubMed | Scopus (103)
| Google ScholarSee all References
, 58x58Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
Several studies have similarly used the North American Industry Classification System (NAICS) or predecessor Standard Industrial Classification (SIC) system codes to define categories of stores and restaurants; however, few studies have reported the code numbers included within each category. 52x52Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331

Crossref | PubMed | Scopus (256)
| Google ScholarSee all References
, 54x54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
Further, some research indicates that the business databases from which NAICS and SIC codes are typically drawn may contain many errors. 93x93Boone, J., Gordon-Larsen, P., Stewart, J., and Popkin, B. Validation of a GIS facilities database: quantification and implications of error. Ann Epidemiol. 2008; 18: 371–377

Abstract | Full Text | Full Text PDF | PubMed | Scopus (41)
| Google ScholarSee all References
Although different data sources do not always provide the same details relevant to the categorization of food outlets, researchers should work toward a consensus on the use of a standard set of definitions, and future studies should aim to fully describe how food store and restaurant categories are defined.

Research studies that complete observations within stores and restaurants can most directly address differences in the physical availability of healthy foods and beverages. It is critical that studies employing direct observation report on methodologic details and the reliability of employed measures. Just half of the studies in this review that reported on direct observations in stores (n=5 of 11) and neither study that reported on direct observations in restaurants (n=2) were found to include assessments of inter-rater or test–retest reliability. 19x19Sallis, J., Nader, P., Rupp, J., Atkins, C., and Wilson, W. San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep. 1986; 101: 216–218

PubMed
| Google ScholarSee all References
, 24x24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
, 45x45Liese, A., Weis, K., Pluto, D., Smith, E., and Lawson, A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007; 107: 1916–1923

Abstract | Full Text | Full Text PDF | PubMed | Scopus (107)
| Google ScholarSee all References
, 48x48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
, 53x53Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44

Abstract | Full Text | Full Text PDF | PubMed | Scopus (150)
| Google ScholarSee all References
However, growing efforts are being made to design psychometrically sound measures of food environments within stores 20x20Glanz, K., Sallis, J., Saelens, B., and Frank, L. Nutrition environment measures survey in stores (NEMS-S): development and evaluation. Am J Prev Med. 2007; 32: 282–289

Abstract | Full Text | Full Text PDF | PubMed | Scopus (127)
| Google ScholarSee all References
and restaurants 100x100Saelens, B., Glanz, K., Sallis, J., and Frank, L. Nutrition environment measures study in restaurants (NEMS-R): development and evaluation. Am J Prev Med. 2007; 32: 273–281

Abstract | Full Text | Full Text PDF | PubMed | Scopus (64)
| Google ScholarSee all References
and to develop strategies to promote high measurement reliability. 101x101Zenk, S., Schulz, A., Mentz, G. et al. Inter-rater and test-retest reliability: methods and results for the neighborhood observational checklist. Health Place. 2007; 13: 452–465

Crossref | PubMed | Scopus (15)
| Google ScholarSee all References
The implementation of these tools and strategies in future research will contribute to a better understanding of differences in residential access to healthy food and their implications for health.

The majority of studies included in this review used cross-sectional designs; few longitudinal, multilevel, or intervention studies have been reported. Studies examining relationships among residential food access, dietary intake, and obesity have considered several characteristics of neighborhoods and individuals, including gender, race and ethnicity, income, education, and physical activity. However, several factors contribute to dietary intake and the development of obesity. In order to better understand the relative importance of environmental, demographic, psychological, and social factors, as well as the interaction of these factors, it will be necessary to examine hypothesized pathways of influence and the contributions of each factor within the same study.

Future studies investigating disparities in access to more- and less-healthy food also need to systematically consider covarying characteristics of neighborhoods such as population size, urbanization, region, and commercialization. Several studies included in this review indicate that disparities in access to healthy food vary according to these characteristics of neighborhoods. 42x42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
, 89x89Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States (associations with neighborhood characteristics) . Am J Prev Med. 2007; 33: S240–S245

Abstract | Full Text | Full Text PDF | PubMed | Scopus (93)
| Google ScholarSee all References
, 90x90Simon, P., Dwan, K., Angelescu, A., Shih, M., and Fielding, J. Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?. Prev Med. 2008; 47: 284–288

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
For example, one study found no significant differences in the relative availability of fast-food restaurants by income, race, or ethnicity within a national sample of ZIP codes. 89x89Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States (associations with neighborhood characteristics) . Am J Prev Med. 2007; 33: S240–S245

Abstract | Full Text | Full Text PDF | PubMed | Scopus (93)
| Google ScholarSee all References
However, when only urban ZIP codes were examined, ZIP codes in lower- versus higher-income and predominantly black areas versus predominantly white areas were found to have a higher proportion of fast-food restaurants among all available restaurants. International comparisons using standardized measures may further help to illuminate qualities of the broad social and political environment that contribute to disparities. In stark contrast to research conducted in the U.S., studies in areas of New Zealand, Australia, Canada, and Scotland show greater availability of supermarkets in lower- versus higher-income neighborhoods. 102x102Cummins, S. and Macintyre, S. The location of food stores in urban areas: a case study in Glasgow. Br Food J Hyg Rev. 1999; 101: 545–553

Crossref
| Google ScholarSee all References
, 103x103Smoyer-Tomic, K., Spence, J., and Amrhein, C. Food deserts in the prairies? (Supermarket accessibility and neighborhood need in Edmonton, Canada) . Prof Geogr. 2006; 58: 307–326

Crossref | Scopus (69)
| Google ScholarSee all References
, 104x104Winkler, E., Turrell, G., and Patterson, C. Does living in a disadvantaged area mean fewer opportunities to purchase fresh fruit and vegetables in the area? (Findings from the Brisbane food study) . Health Place. 2006; 12: 306–319

Crossref | PubMed
| Google ScholarSee all References
, 105x105Pearce, J., Witten, K., Hiscock, R., and Blakely, T. Are socially disadvantaged neighborhoods deprived of health-related community resources?. Int J Epidemiol. 2007; 36: 355–357

Crossref | PubMed | Scopus (30)
| Google ScholarSee all References

Additionally, more comprehensive assessments of neighborhood food environments are needed. When only one aspect of the food environment is studied, the results are difficult to interpret, as neighborhoods with greater access to unhealthy food options may also have greater access to healthy food options. A limited number of studies have investigated disparities in access to both food stores and restaurants within the same geographic region and suggest that the nature of neighborhood disparities may differ according to the type of food outlet examined. 36x36Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
, 47x47Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov)

PubMed
| Google ScholarSee all References
, 54x54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
, 58x58Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
Further, the extent to which other factors, such as economic and social characteristics of neighborhoods, may influence accessibility above and beyond physical proximity is an important area for future research.

Despite these research limitations, the studies reviewed here indicate a need for policy action and other intervention strategies to ensure more equitable access to healthy foods across the U.S. Very few studies have evaluated strategies for reducing disparities or improving physical access to healthy, affordable food. Several strategies and policy actions have been proposed to attract supermarkets to underserved neighborhoods, improve the availability of healthy foods such as fruits and vegetables, and reduce access to calorie-dense foods in restaurants (Appendix D, online at www.ajpm-online.net). 106x106Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005; 19: 232–244

Crossref | Scopus (32)
| Google ScholarSee all References
, 107x107Levy, J. and Institute for Agriculture and Trade Policy. 10 ways to get healthy, local foods into low-income neighborhoods (A Minneapolis resource guide) . http://yww.hcwh.org; 2007.

Google ScholarSee all References
, 108x108Glanz, K. and Hoelscher, D. Increasing fruit and vegetable intake by changing environments, policy and pricing: restaurant-based research, strategies, and recommendations. Prev Med. 2004; 39: S88–S93

Crossref | PubMed | Scopus (45)
| Google ScholarSee all References
, 109x109Glanz, K. and Yaroch, A. Strategies for increasing fruit and vegetable intake in grocery stores and communities: policy, pricing, and environmental change. Prev Med. 2004; 39: S75–S80

Crossref | PubMed | Scopus (80)
| Google ScholarSee all References
, 110x110Ashe, M., Jernigan, D., Kline, R., and Galaz, R. Land use planning and the control of alcohol, tobacco, firearms, and fast food restaurants. Am J Pub Health. 2003; 93: 1404–1408

Crossref | PubMed
| Google ScholarSee all References
However, many challenges remain in implementing interventions of this nature. Research designed to evaluate proposed interventions, build broad support for their implementation, and identify other effective means for improving neighborhood access to healthy food should be made a priority.

This paper was supported in part by the Robert Wood Johnson Foundation Healthy Eating Research Program.

No financial disclosures were reported by the authors of this paper.

Appendix

Appendix AInequalities in access to food stores and healthful food products in the U.S.
ReferenceSetting and sampleFood sources examinedData sourcesSummary of results
Zenk (2008)1x1Zenk, S. and Powell, L. U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
National sample including 31,243 public secondary schools48,460 convenience stores, defined by proprietary SIC codes2004–2005 NCESCCD; census 2000 and Census Bureau 2005 population figures; D&B
  • Schools in predominantly black (>70%) tracts and those in predominantly non-Hispanic white tracts had a similar number of convenience stores within 0.5 miles

  • Schools in middle-income and high-income tracts (based on tertiles of median household income) had 22% fewer and 50% fewer convenience stores within 0.5 miles, respectively, than schools in low-income tracts

Sturm (2008)2x2Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
National sample including 31,622 public secondary schoolsSnack and nonalcoholic beverage shops, convenience stores or food marts, off-licenses, alcoholic drinking places, defined by NAICS codes2003–2004 NCESCCD; InfoUSA
  • A higher proportion of students eligible for free school meals was associated with a greater likelihood of a school having a convenience store within 400 m

  • A higher proportion of Hispanic students was associated with a greater likelihood of a school having a snack store within 400 m

Sharkey (2008)3x3Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627

PubMed
| Google ScholarSee all References
101 census block groups in six rural counties of central TX213 supermarkets, grocery stores, convenience stores, discount stores, beverage stores, and specialty food stores, defined by a modified version of 2002 NAICS codesGround truthing and camera-based GPS; local/area telephone directories; Internet telephone directories; TX Department of Agriculture
  • Distance to the nearest food store decreased with increasing socioeconomic deprivation, increasing minority composition, and increasing population density across census block groups

  • Independent of population density, block groups categorized in the highest tertile of minority composition (>39% nonwhite residents) and highest tertile of deprivation (determined by such factors as poverty and education) had the best potential physical access to a supermarket, a supermarket or grocery store, and a discount store

Moore (2008)4x4Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality-a comparison of assessments based on surveys and geographic information systems: the Multi-ethnic Study of Atherosclerosis. Am J Epidemiol. 2008; 167: 917–924

Crossref | PubMed | Scopus (130)
| Google ScholarSee all References
2834 participants in the Multi-Ethnic Study of Atherosclerosis in NC, MD, and NYSupermarkets, defined by SIC codes, chain name recognition, and >50 employeesInfoUSA
  • Hispanic participants lived in census tracts with higher densities of supermarkets

  • Low-income participants (determined by per capita income) lived in census tracts with higher densities of supermarkets

Galvez (2007)5x5Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
165 census blocks in East Harlem219 supermarkets, grocery stores, convenience stores, and specialty stores, defined by number of cash registers and the types of food soldCensus 2000; block-by-block walking survey by a single surveyor in 2004
  • 76% of predominantly black (>75%) blocks had no food stores, compared to 15% of predominantly Latino blocks (>75%) and 40% of racially mixed blocks

  • 100% of predominantly black blocks had neither supermarkets nor grocery stores

  • Predominantly black blocks were less likely to have convenience stores than were racially mixed blocks

  • Predominantly Latino blocks were more likely to have convenience stores and specialty food stores than were racially mixed blocks

Morton (2007)6x6Morton, L. and Blanchard, T. Starved for access: life in rural America's food deserts. Rural Realities. 2007; 1 (www.ruralsociology.org/pubs/ruralrealities/issue4.html)

Google ScholarSee all References
U.S. national sample by countyLarge retailers (supermarkets or supercenters employing ≥50 staff)1999 U.S. Bureau of the Census ZIP Code Business Patterns data; census 2000
  • 418 counties were identified in which the entire population lived >10 miles from a large retailer (food deserts)

  • Food desert counties in comparison to non–food desert areas were characterized by higher poverty rates, larger percentages of individuals without a high-school degree or GED, lower median family incomes, greater percentages of residents living in sparsely populated areas, and higher numbers of small grocers and convenience stores per capita

Powell (2007)7x7Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195

Crossref | PubMed | Scopus (233)
| Google ScholarSee all References
U.S. national sample of 28,050 ZIP codesChain and nonchain supermarkets, grocery stores, convenience stores, defined by primary SIC codesD&B; census 2000
  • Low-income (bottom quintile of median household income) ZIP codes had only 75% as many chain supermarkets available as middle-income ZIP codes

  • The availability of chain supermarkets in ZIP codes with higher proportions of black residents was roughly half that in predominantly white ZIP codes

  • Rural (farm and nonfarm) areas had 14% fewer chain supermarkets than urban areas

Wang (2007)8x8Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
82 CA neighborhoods defined by a combination of census tracts and block groups, representing 7595 participants in the Stanford Heart Disease Prevention Program (1979–1990)Chain convenience stores, small grocery stores, ethnic markets, and chain supermarkets, defined using the NAICS and Food Marketing Institute definitions1980 and 1990 census; State Board of Equalization and telephone business directories for the years 1979–1990Residents of low–socioeconomic status neighborhoods lived closest to small grocery stores and convenience stores, whereas residents of middle–socioeconomic status neighborhoods lived closer to ethnic markets and supermarkets than residents of other tracts
Moore (2006)9x9Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331

Crossref | PubMed | Scopus (256)
| Google ScholarSee all References
685 census tracts in NC, MD, and NYGrocery stores, supermarkets, convenience stores, meat and fish markets, fruit and vegetable markets, bakeries, natural food stores, specialty food stores, and liquor stores, defined by proprietary SIC codes and chain name recognitionInfoUSA; census 2000
  • Predominantly (>60%) black and racially mixed tracts had more than twice as many grocery stores and fewer supermarkets than predominantly white tracts

  • Low-income tracts (bottom tertile, median income ≤$25,000) had four times as many grocery stores as the wealthiest tracts and half as many supermarkets

  • In general, low-income and nonwhite tracts also tended to have fewer fruit and vegetable markets and natural food stores

Zenk (2005)10x10Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667

Crossref | PubMed | Scopus (294)
| Google ScholarSee all References
869 census tracts in metropolitan Detroit160 supermarketsMichigan Department of Agriculture; paper and online telephone directories; address confirmations by phone; census 2000
  • The nearest supermarket was markedly farther away in predominantly black tracts (≥63%) and in the most impoverished tracts (≥17% in poverty) compared, respectively, with tracts having few black residents (<2%) and a low percentage of residents in poverty (≤5%)

  • Regardless of racial composition, distance to the nearest supermarket was similar among the least impoverished tracts (≤5% in poverty)

  • In the most impoverished tracts, the distance to the nearest supermarket was an average of 1.1 miles greater in predominantly black tracts than in tracts with few black residents

Morland (2002)11x11Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the Atherosclerosis Risk in Communities Study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
208 census tracts in MD, NC, MS, and MN, representing 10,623 participants in ARICSupermarkets, grocery stores, convenience stores, and specialty food stores, defined by the 1997 NAICS1990 census; 1999 data from local health departments and state agriculture departments
  • Five times more supermarkets were located in census tracts where whites resided than in those where blacks resided

  • Fewer than half as many grocery stores were located in census tracts where whites resided than in those where blacks resided

Morland (2002)12x12Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
216 census tracts in MD, NC, MS, and MN, representing the neighborhoods of participants in ARICSupermarkets, grocery stores, convenience stores, and specialty food stores, defined by the 1997 NAICS1990 census; local departments of environmental health and state departments of agriculture
  • Over 3 times as many supermarkets were located in the highest-income tracts than in the lowest-income tracts (lowest quintile of home values relative to other homes in the area)

  • Higher-income tracts had fewer small grocery stores, convenience stores (without gas stations), and specialty food stores than the lowest-income tracts

  • Four times as many supermarkets were located in predominantly white tracts than in predominantly black (>80% black residents) tracts

  • There were fewer small grocery stores and convenience stores in predominantly white tracts than in predominantly black tracts

Shaffer (2002)13x13Shaffer, A. The persistence of L.A.'s grocery gap: the need for a new food policy and approach to market development. Center for Food and Justice, Urban and Environmental Policy Institute (UEPI), Occidental College, ; 2002 (www.departments.oxy.edu/uepi/publications/the_persistence_of.htm)

Google ScholarSee all References
Central Los Angeles56 independent and chain grocery stores and supermarketsAmerican Business Directory online
  • There were 2.3 times as many supermarkets per household in ZIP codes with 0%–10% of residents living below the poverty line as there were in ZIP codes where that percentage exceeded 40%

  • ZIP codes where the majority (80%–90%) of residents were white had 3.2 times as many supermarkets as those where the majority of residents were black and 1.7 times as many supermarkets as those where the majority of residents were Latino

Chung (1999)14x14Chung, C. and Myers, J. Do the poor pay more for food? (An analysis of grocery store availability and food price disparities) . J Consum Aff. 1999; 33: 276–296

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| Google ScholarSee all References
Hennepin and Ramsey counties, MN526 grocery stores and convenience stores (excluding gas stations), defined by SIC codes and chain name recognition1994 American Business Directory; 1990 Current Population Survey
  • Only 22% of chain stores, but nearly half of the nonchain stores, were located in inner-city ZIP codes

  • Chain grocery stores were less likely to be located in poor areas; 89% of all chain grocery stores in the two counties were located in ZIP codes with poverty rates of <10%, but only about 60% of nonchain grocery stores were located in these areas

Kaufman (1998)15x15Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Devel Perspect. 1998; 13: 19–26

Google ScholarSee all References
36 rural, high-poverty counties of the Lower Mississippi Delta region (AR, LA, and MS)222 large grocery stores and supermarkets, defined by sales data1990 census; Food and Nutrition Service data on food stamp issuances and redemptions
  • Low-income areas had less access to large grocery stores and supermarkets compared to the regional average

  • Over 70% of households eligible to receive food stamps needed to travel >30 miles to reach a large grocery store or supermarket

Alwitt (1997)16x16Alwitt, L. and Donley, T. Retail stores in poor urban neighborhoods. J Consum Aff. 1997; 31: 139–164

Crossref
| Google ScholarSee all References
53 Chicago ZIP code areasSmall grocery stores, large grocery stores, and supermarkets, defined by SIC codes1990 Census of Retail Trade; 1995 Prophone CD-ROM telephone database, The Sourcebook of ZIP Code Demographics
  • Residents of low-income neighborhoods (high poverty and unemployment, and low high-school graduation rates) needed to travel >2 miles to have access to the same number of supermarkets as residents of higher-income neighborhoods

  • Low-income neighborhoods tended to have more small grocery stores, fewer large grocery stores, and fewer supermarkets. However, no differences were found after controlling for purchasing power

Studies including in-store observations
Morland (2007)17x17Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489

Crossref | PubMed | Scopus (103)
| Google ScholarSee all References
45 census tracts in Brooklyn50% stratified random sample of 166 supermarkets, small grocery stores, fruit and vegetable markets and delicatessens, defined by store nameNY State Department of Agriculture and Markets; 2004–2005 in-store observations by a trained surveyor; census 2000
  • Fewer supermarkets and more small grocery stores (bodegas) were in racially mixed and predominantly black neighborhoods (>80% black) than in predominantly white neighborhoods (<20% black residents)

  • A lower proportion of stores in predominantly black neighborhoods carried fresh produce

Liese (2007)18x18Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068

Abstract | Full Text | Full Text PDF | PubMed | Scopus (152)
| Google ScholarSee all References
20 census tracts in Orangeburg County, SC77 supermarkets, grocery stores, and convenience stores, defined by store managers and annual salesCensus 2000; SC Department of Health and Environmental Control; ground truthing; in-store observations by trained surveyors in 2004
  • 40% of rural tracts had at least one supermarket, compared to 67% of urban tracts

  • 60% of rural tracts contained at least one grocery store, whereas none of the urban tracts housed a grocery store

  • 49% of all convenience stores were in rural tracts, 30% in mixed tracts, and 21% in urban tracts

  • Availability of more healthful foods was substantially higher at supermarkets and grocery stores compared to convenience stores

Baker (2006)19x19Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov/pcd/issues/2006/jul/05_0217.htm)

PubMed
| Google ScholarSee all References
220 urban census tracts in Saint Louis MO81 supermarkets and major-chain grocery stores2003–2004 in-store observations by trained staff; census 2000
  • Fewer supermarkets provided the best opportunity to meet dietary recommendations in predominantly black tracts (>75% black residents) than in predominantly white tracts (>75% white residents)

  • Mixed-race or white high-poverty tracts (≥20% poverty rate) and all predominantly black tracts regardless of income were less likely than predominantly white and higher-income tracts to have access to supermarkets offering healthy food choices

Block (2006)20x20Block, D. and Kouba, J. A comparison of the availability and affordability of a market basket in two communities in the Chicago area. Public Health Nutr. 2006; 9: 837–845

Crossref | PubMed | Scopus (98)
| Google ScholarSee all References
Two Chicago area communities: Austin (predominantly black, lower- middle-class) and Oak Park (racially mixed, upper-middle-income)134 supermarkets, independent groceries, chain drugstores, gas stations, liquor stores with food, convenience stores, dollar stores, and specialty stores, defined by available sales dataInfoUSA; ground truthing; in-store observations by trained surveyors
  • Almost every resident of Austin lived within 0.25 miles of a grocery store, and all residents lived within 0.5 miles. In contrast, just under half the population of Austin lived >0.25 miles from a supermarket

  • Austin had one chain supermarket for its 117,527 residents. Oak Park had three supermarkets, one for every 17,508 residents

  • Within store types, the mean number of items carried was similar in Austin and Oak Park

Hosler (2006)21x21Hosler, A., Varadarajulu, D., Ronsani, A., Fredrick, B., and Fisher, B. Low-fat milk and high-fiber bread availability in food stores in urban and rural communities. J Public Health Manag Pract. 2006; 12: 556–562

Crossref | PubMed
| Google ScholarSee all References
Upstate NY: Four ZIP codes in downtown Albany (41% white, 31% in poverty) and two rural counties (90% white)256 retail stores, defined by operation at least 7 hours/day, 5 days/week and inventory of ≥1 staple item (confirmed by telephone calls in 2003)Lists of inspected food retailers; online business directories and online farm-fresh product directory; in-store observations in 2003; census 2000
  • A higher proportion of stores and stores per population in the rural counties stocked low-fat milk and high-fiber bread than in downtown stores

  • A larger percentage of racial/ethnic minorities lived in census block groups without a store stocking low-fat milk and high-fiber bread than did non-Hispanic whites

Jetter (2006)22x22Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44

Abstract | Full Text | Full Text PDF | PubMed | Scopus (150)
| Google ScholarSee all References
Los Angeles and Sacramento25 grocery stores and supermarkets, including fresh meat and dairy sectionsIn-store observations (three times per store over 1 year) by trained surveyors in 2003–2004Nearly all healthy market-basket food items (e.g., whole wheat breads and grain products, ground beef with ≤10% fat) that were never available in a store were recorded for stores in very low- or low-income ZIP code areas (median household income=$17,600–$27,000)
Zenk (2006)23x23Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280

PubMed
| Google ScholarSee all References
Three selected communities in Detroit and an adjacent suburb that varied in racial/ethnic composition and socioeconomic characteristics304 chain grocery, large independent grocery, “mom-and-pop” grocery, convenience without gasoline, specialty, and liquor storesMI Department of Agriculture, in-store observations by trained surveyors in 2002
  • Produce quality was lower in the predominantly black, low-income community than in the racially heterogeneous, middle-income suburban community

  • The quality difference was only partly explained by community differences in the types of food stores available (e.g., the racially heterogeneous suburban community had the most large grocery stores per population)

  • No statistically significant differences in produce selection or price were found across communities

Horowitz (2004)24x24Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554

Crossref | PubMed
| Google ScholarSee all References
New York City neighborhoods in East Harlem (6% white) and the Upper East Side (more affluent and 84% white)324 small (one register), midsized (two–four registers), and large grocery stores (more than four registers)NY State Department of Agriculture and Markets; in-store observations by trained surveyors; census 2000
  • Fewer stores were small (65% vs 87%) and more stores were midsized (18% vs 6%) in the Upper East Side than in East Harlem

  • Upper East Side stores were 3.2 times more likely than East Harlem stores to stock the healthy food items examined (low-carbohydrate or high-fiber bread, low-fat milk, fresh fruit, fresh green vegetables, diet or club soda)

Sloane (2003)25x25Sloane, D., Diamount, A., Lewis, L. et al. Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med. 2003; 18: 568–575

Crossref | PubMed | Scopus (110)
| Google ScholarSee all References
Los Angeles County: four noncontiguous ZIP code target areas (47% black residents, poverty rate=28%) and a contrast area (8% black residents, poverty rate=17%)330 convenience stores, grocery stores, and supermarketsIn-store observations by trained surveyors in 2001–2002; census 2000
  • The target areas had a higher proportion of convenience stores and local markets than the contrast area, which had larger markets that were franchises of regional or national chains

  • Fruits, vegetables, nonfat milk and low-fat snacks were less often available in the target areas as compared to stores in the contrast area. For example, less than three quarters of markets in the target areas sold fresh fruit or vegetables compared to >90% of stores that did in the contrast area

Fisher (1999)26x26Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237

Crossref | PubMed
| Google ScholarSee all References
53 randomly chosen ZIP codes in NY representing metropolitan, midsized urban, and rural counties503 food stores selected by random sampling within each ZIP codeNY State Department of Agriculture and Markets; in-store observations in 1994; 1990 census
  • The average percentage of store shelf space occupied by low-fat milk across all stores in a ZIP code was directly related to median household income

  • The average percentage of low-fat milk shelf space was lower in rural areas and areas in which the majority of the population was nonwhite

Sallis (1986)27x27Sallis, J., Nader, P., Rupp, J., Atkins, C., and Wilson, W. San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep. 1986; 101: 216–218

PubMed
| Google ScholarSee all References
24 neighborhoods of San Diego, defined by the location of selected schools and resident report77 supermarkets, “mom and pop” groceries, convenience stores, and health-food storesInterviews with neighborhood residents; neighborhood and in-store observations by trained surveyorsResidents of middle-income neighborhoods had greater access to low-sodium and low-fat foods than residents of low- and high-income neighborhoods
View Table in HTML

ARIC, Atherosclerosis Risk in Communities Study; D&B, Dun and Bradstreet; NAICS, North American Industry Classification System; NCESCCD, National Center for Education Statistics Common Core Data; SIC, Standard Industrial Classification

Appendix BInequalities in access to restaurants and healthful menu options in the U.S.
ReferenceSetting and sampleFood sources examinedData sourcesSummary of results
Zenk (2008)1x1Zenk, S. and Powell, L. U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346

Crossref | PubMed | Scopus (69)
| Google ScholarSee all References
National sample including 31,243 public secondary schools80,878 fast-food restaurants, defined by proprietary SIC codes2004–2005 NCESCCD; census 2000 and Census Bureau 2005 population figures; D&B
  • Schools in predominantly black (>70%) tracts had 30% fewer fast-food restaurants within 0.5 miles than schools in predominantly non-Hispanic white tracts

  • Schools in middle-income and high-income tracts (based on tertiles of median household income) had 16% fewer and 32% fewer fast-food restaurants within 0.5 miles, respectively, than schools in low-income tracts

Sturm (2008)2x2Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690

Abstract | Full Text | Full Text PDF | PubMed | Scopus (35)
| Google ScholarSee all References
National sample including 31,622 public secondary schoolsLimited-service restaurants2003–2004 NCESCCD; InfoUSA
  • A higher proportion of students eligible for free school meals was associated with a greater likelihood of a school having a limited-service restaurant within 400 m

  • A higher proportion of Hispanic students was associated with greater likelihood of a school having a limited-service restaurant within 400 m

Simon (2008)28x28Simon, P., Dwan, K., Angelescu, A., Shih, M., and Fielding, J. Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?. Prev Med. 2008; 47: 284–288

Crossref | PubMed | Scopus (38)
| Google ScholarSee all References
1684 public schools in Los Angeles County2712 fast-food restaurants, representing 18 chainsCA Department of Education; food inspection/safety program databases of Los Angeles County, Pasadena City, and Long Beach City health departmentsFast-food restaurant proximity was inversely related to neighborhood income; schools in areas of the lowest median household income were over three times more likely to have at least one fast-food restaurant within 400 m than schools in the highest income quartile
Galvez (2007)5x5Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631

PubMed
| Google ScholarSee all References
165 census blocks in East Harlem186 full-service and fast-food restaurantscensus 2000; block-by-block walking survey by a single surveyor in 2004Predominately Latino blocks (>75%) were more likely to have full-service and fast-food restaurants than racially mixed blocks
Powell (2007)29x29Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States: associations with neighborhood characteristics. Am J Prev Med. 2007; 33: S240–S245

Abstract | Full Text | Full Text PDF | PubMed | Scopus (93)
| Google ScholarSee all References
National sample of 28,050 ZIP codes69,219 fast-food restaurants and 259,182 full-service restaurants, defined by SIC codesD&B data for the year 2000; census 2000
  • Near–low income and middle-income (based on quintiles of median household income) ZIP codes had the highest number of available restaurants with 1.24 and 1.22 times the number of full-service restaurants and 1.34 and 1.28 times the number of fast-food restaurants as high-income ZIP code areas

  • Predominantly black (>70%) ZIP code areas had 58.2% and 59.3% of the number of full-service and fast-food restaurants, respectively, in predominantly white ZIP code areas

  • Suburban ZIP code areas had 1.34 times the number of full-service restaurants and 1.77 times the number of fast-food restaurants, respectively, as urban areas. Rural and farm areas had substantially fewer available restaurants than urban areas

  • In urban areas, near–low income, middle-income, and near–high income versus high-income ZIP code areas and predominantly black versus predominantly white ZIP code areas were found to have higher proportions of fast-food restaurants among all restaurants

Wang (2007)8x8Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498

Crossref | PubMed | Scopus (116)
| Google ScholarSee all References
82 CA neighborhoods defined by a combination of census tracts and block groups, representing 7595 participants in the Stanford Heart Disease Prevention Program (1979–1990)Fast-food restaurants, defined as national chains that sell inexpensive, quickly served foods such as hamburgers, pizza, and fried chicken1980 and 1990 census; State Board of Equalization and telephone business directories for the years 1979–1990Residents of middle-socioeconomic tracts lived closer to fast-food restaurants than residents of other tracts
Block (2004)30x30Block, J.P., Scribner, R.A., and DeSalvo, K.B. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med. 2004; 27: 211–217

Abstract | Full Text | Full Text PDF | PubMed | Scopus (0)
| Google ScholarSee all References
156 census tracts in New Orleans155 fast-food restaurants (14 local and national chains)Orleans Parish Sanitation Department log books; local Yellow Pages phone book; restaurant locator engines on fast-food websites; 1990 census data adjusted to 1999For every 10% increase in fast-food restaurant density (restaurants per square mile), tract median household income decreased by 4.8%, and the percentage of black residents increased by 3.7%
Morland (2002)11x11Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the Atherosclerosis Risk in Communities Study. Am J Public Health. 2002; 92: 1761–1767

Crossref | PubMed
| Google ScholarSee all References
208 census tracts in MD, NC, MS, and MN, representing 10,623 participants in ARICFast-food restaurants and full-service restaurants, defined by the 1997 NAICS1990 census; 1999 data from local health departments and state agriculture departments
  • More full-service restaurants were located in census tracts where whites resided than in those where blacks resided

  • Fast-food restaurants were approximately evenly dispersed across census tracts where whites and blacks resided

Morland (2002)12x12Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29

Abstract | Full Text | Full Text PDF | PubMed | Scopus (567)
| Google ScholarSee all References
216 census tracts in MD, NC, MS, and MN, representing the neighborhoods of participants in ARICFast-food restaurants, full-service restaurants, carryout eating places, carryout specialty items, bars and taverns, defined by the 1997 NAICS1990 census; local departments of environmental health and state departments of agriculture
  • Fast-food restaurants were more prevalent in low–medium income and medium-income tracts than in upper-income tracts (determined by home values categorized into quintiles)

  • All restaurants were more prevalent in racially mixed and predominantly white (<20% black residents) tracts than in predominantly black (>80% black residents) tracts

Studies including a review of menu options
Baker (2006)19x19Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis. 2006; 3 (www.cdc.gov/pcd/issues/2006/jul/05_0217.htm)

PubMed
| Google ScholarSee all References
220 census tracts in Saint Louis, MO355 fast-food restaurantsReview of corporate restaurant menus; restaurant audits by trained staff; 2000 Census of Population and Housing; 2000 Census of Businesses
  • Fewer restaurants provided the best opportunity to meet dietary recommendations in predominantly black tracts (>75% black residents) than in predominantly white tracts (>75% white residents)

  • Mixed-race and white high-poverty tracts (≥20% poverty rate) and all predominantly black tracts, regardless of income, were less likely than predominantly white and higher-income tracts to have access to restaurants providing healthy food choices

Lewis (2005)31x31Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673

Crossref | PubMed | Scopus (113)
| Google ScholarSee all References
Los Angeles County: four noncontiguous ZIP code areas with a significant proportion of black residents (average=35%) and comparison ZIP code areas composed of few black residents (average=8%) and having a higher median household incomeLimited-service restaurants and full-service restaurants, defined by NAICSTrained surveyors; city offices of environmental health; census data
  • Only 27% of restaurants in target areas were full service compared to 58% in comparison areas

  • Restaurants in comparison areas were more likely to offer five or more healthy preparation options; 39% of restaurants in comparison areas provided healthy options (such as broiled, baked, and steamed foods) compared with 27% in target areas

  • A greater proportion of restaurants in comparison areas (42%) offered five or more healthy options (such as green salads, brown rice, and fresh fruit) than those in target areas (36%)

View Table in HTML

ARIC, Atherosclerosis Risk in Communities Study; D&B, Dun and Bradstreet; NAICS, North American Industry Classification System; NCESCCD, National Center for Education Statistics Common Core Data; SIC, Standard Industrial Classification

Appendix CRecommendations for future research on disparities in access to healthy food
  • Develop valid, reliable measures of neighborhood nutrition environments

    • Consensus definitions should be developed to categorize food stores and restaurants according to the information available from common data sources

    • The potential impact of errors in commercially and publicly available lists on research relating to food store and restaurant access should be determined

    • Detailed, standard protocols for using geographic information systems should be created so that measures of food environments can be replicated within and among research teams

    • Reliable tools should be developed for completing direct observations within stores and restaurants and examining the availability of healthy foods and beverages

  • Improve reporting on the definition of variables, measurement protocols, and details of the geocoding process, such as the types of software used, selected sensitivity parameters (spelling and match scores), match rates, spatial units, and buffer sizes

  • Carry out studies to better define relevant buffer sizes and routes for food shopping and restaurant dining in various populations

  • Conduct longitudinal and multilevel studies to increase knowledge regarding the potential for environmental changes to improve dietary intake and reduce obesity in representative samples

  • Implement and evaluate interventions designed to help underserved areas develop retail food markets and increase access to a healthy, affordable food supply

View Table in HTML
Appendix DProposed strategies for improving access to healthy food32x32Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005; 19: 232–244

Crossref | Scopus (32)
| Google ScholarSee all References
, 33x33Levy, J. and Institute for Agriculture and Trade Policy. 10 ways to get healthy, local foods into low-income neighborhoods (A Minneapolis resource guide) . http://yww.hcwh.org; 2007.

Google ScholarSee all References
, 34x34Glanz, K. and Hoelscher, D. Increasing fruit and vegetable intake by changing environments, policy and pricing: restaurant-based research, strategies, and recommendations. Prev Med. 2004; 39: S88–S93

Crossref | PubMed | Scopus (45)
| Google ScholarSee all References
, 35x35Glanz, K. and Yaroch, A. Strategies for increasing fruit and vegetable intake in grocery stores and communities: policy, pricing, and environmental change. Prev Med. 2004; 39: S75–S80

Crossref | PubMed | Scopus (80)
| Google ScholarSee all References
, 36x36Ashe, M., Jernigan, D., Kline, R., and Galaz, R. Land use planning and the control of alcohol, tobacco, firearms, and fast food restaurants. Am J Pub Health. 2003; 93: 1404–1408

Crossref | PubMed
| Google ScholarSee all References
Strategies for attracting supermarkets to underserved neighborhoods
  • Conduct needs assessment and market feasibility studies

  • Assist with site assembly and cleanup

  • Offer financial incentives such as fee waivers and tax abatements

  • Assist with parking and public safety issues

  • Provide shuttle service to stores and develop other transportation options

  • Facilitate or simplify the development approval process

  • Recruit and prepare residents for store jobs

  • Mediate community–store conflicts

Strategies for improving the availability of fruits, vegetables, and other healthy foods
  • Establish more farmers' markets and public markets

  • Increase participation in community-supported agriculture programs

  • Establish cooperative grocery stores

  • Connect growers with neighborhood convenience stores, community centers, healthcare clinics, and religious organizations

  • Develop community gardens

  • Link emergency food providers to local growers

  • Establish mobile stores to deliver healthful products to a drop spot or doorsteps

  • Improve signage and shelf labels that identify healthful food choices

  • Sell healthful foods at reduced prices

Strategies for improving access to healthy foods at restaurants
  • Require fast-food restaurants to be located a minimum distance from youth-oriented facilities (e.g., schools, playgrounds)

  • Limit the total number of per capita fast-food restaurants in a community

  • Prohibit drive-through service

  • Improve the availability and identification of healthful foods on restaurant menus

  • Offer healthful foods at reduced prices on restaurant menus

  • Promote healthful foods at the point-of-purchase (e.g., with counter signage)

View Table in HTML

References

  1. 1Diez Roux, A., Merkin, S., Arnett, D. et al. Neighborhood of residence and incidence of coronary heart disease. N Engl J Med. 2001; 345: 99–106
  2. 2LaVeist, T. Racial segregation and longevity among African Americans: an individual-level analysis. Health Serv Res. 2003; 38: 1719–1733
  3. 3Grady, S. Racial disparities in low birthweight and the contribution of residential segregation: a multilevel analysis. Soc Sci Med. 2006; 63: 3013–3029
  4. 4Bell, J., Zimmerman, F., Almgren, G., Mayer, J., and Huebner, C. Birth outcomes among urban African-American women: a multilevel analysis of the role of racial residential segregation. Soc Sci Med. 2006; 63: 3030–3045
  5. 5Jackson, S., Anderson, R., Johnson, N., and Sorlie, P. The relation of residential segregation to all-cause mortality: a study in black and white. Am J Public Health. 2000; 90: 615–617
  6. 6Lobmayer, P. and Wilkinson, R. Inequality, residential segregation by income, and mortality in U.S. cities. J Epidemiol Community Health. 2002; 56: 183–187
  7. 7Hart, K., Kunitz, S., Sell, R., and Mukamel, D. Metropolitan governance, residential segregation, and mortality among African Americans. Am J Public Health. 1998; 88: 434–438
  8. 8Gamm, L., Hutchinson, L., Dabney, B., and Dorsey, A. Rural Healthy People 2010: a companion document to Healthy People 2010. Volume 2. The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center, College Station Texas; 2003
  9. 9Rundle, A., Diez Roux, A., Freeman, L., Miller, D., Neckerman, K., and Weiss, C. The urban built environment and obesity in New York City: a multilevel analysis. Am J Health Promot. 2007; 21: 326S–334S
  10. 10Nelson, M., Gordon-Larsen, P., Song, Y., and Popkin, B. Built and social environments: associations with adolescent overweight and activity. Am J Prev Med. 2006; 31: 109–117
  11. 11Stimpson, J., Nash, A., Ju, H., and Eschbach, K. Neighborhood deprivation is associated with lower levels of serum carotenoids among adults participating in the Third National Health and Nutrition Examination Survey. J Am Diet Assoc. 2007; 107: 1895–1902
  12. 12Chang, V. Racial residential segregation and weight status among U.S. adults. Soc Sci Med. 2006; 63: 1289–1303
  13. 13Robert, S. and Reither, E. A multilevel analysis of race, community disadvantage, and body mass index among adults in the U.S.. Soc Sci Med. 2004; 59: 2421–2434
  14. 14Diez Roux, A., Nieto, F., Caulfield, L., Tyroler, H., Watson, R., and Szklo, M. Neighborhood differences in diet: the atherosclerosis risk in communities (ARIC) study. J Epidemiol Community Health. 1999; 53: 55–63
  15. 15Lopez, R. Neighborhood risk factors for obesity. Obesity. 2007; 15: 2111–2119
  16. 16Story, M., Kaphingst, K., Robinson-O'Brien, R., and Glanz, K. Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health. 2008; 29: 253–272
  17. 17Black, J. and Macinko, J. Neighborhoods and obesity. Nutr Rev. 2008; 66: 2–20
  18. 18Bodor, J., Rose, D., Farley, T., Swalm, C., and Scott, S. Neighborhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008; 11: 413–420
  19. 19Sallis, J., Nader, P., Rupp, J., Atkins, C., and Wilson, W. San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep. 1986; 101: 216–218
  20. 20Glanz, K., Sallis, J., Saelens, B., and Frank, L. Nutrition environment measures survey in stores (NEMS-S): development and evaluation. Am J Prev Med. 2007; 32: 282–289
  21. 21Block, D. and Kouba, J. A comparison of the availability and affordability of a market basket in two communities in the Chicago area. Public Health Nutr. 2006; 9: 837–845
  22. 22Chung, C. and Myers, J. Do the poor pay more for food? (An analysis of grocery store availability and food price disparities) . J Consum Aff. 1999; 33: 276–296
  23. 23Connell, C., Yadrick, K., Simpson, P., Gossett, J., McGee, B., and Bogle, M. Food supply adequacy in the lower Mississippi delta. J Nutr Educ Behav. 2007; 39: 77–83
  24. 24Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280
  25. 25Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am J Public Health. 2002; 92: 1761–1767
  26. 26Laraia, B.A., Siega-Riz, A.M., Kaufman, J.S., and Jones, S.J. Proximity of supermarkets is positively associated with diet quality index for pregnancy. Prev Med. 2004; 39: 869–875
  27. 27Rose, D. and Richards, R. Food store access and household fruit and vegetable use among participants in the U.S. food stamp program. Public Health Nutr. 2004; 7: 1081–1088
  28. 28Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality—a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2008; 167: 917–924
  29. 29Wang, M., Cubbin, C., Ahn, D., and Winkleby, M. Changes in neighborhood food store environment, food behaviour and body mass index, 1981–1990. Public Health Nutr. 2008; 11: 963–970
  30. 30Jago, R., Baranowski, T., Baranowski, J., Cullen, K., and Thompson, D. Distance to food stores and adolescent male fruit and vegetable consumption: mediation effects. Int J Behav Nutr Phys Act. 2007; 4: 35
  31. 31Cheadle, A., Psaty, B.M., Curry, S. et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med. 1991; 20: 250–261
  32. 32Zenk, S., Schulz, A., Hollis-Neely, T. et al. Fruit and vegetable intake in African Americans: income and store characteristics. Am J Prev Med. 2005; 29: 1–9
  33. 33Edmonds, J., Baranowski, T., Baranowski, J., Cullen, K., and Myres, D. Ecological and socioeconomic correlates of fruit, juice, and vegetable consumption among African-American boys. Prev Med. 2001; 32: 476–481
  34. 34Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237
  35. 35Auchincloss, A., Diez-Roux, A., Brown, D., Erdmann, C., and Bertoni, A. Neighborhood resources for physical activity and healthy foods and their association with insulin resistance. Epidemiol. 2008; 19: 146–157
  36. 36Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498
  37. 37Morland, K., Diez Roux, A.V., and Wing, S. Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities study. Am J Prev Med. 2006; 30: 333–339
  38. 38Inagami, S., Cohen, D., Finch, B., and Asch, S. You are where you shop (Grocery store locations, weight, and neighborhoods) . Am J Prev Med. 2006; 31: 10–17
  39. 39Powell, L., Auld, C., Chaloupka, F., O'Malley, P., and Johnston, L. Associations between access to food stores and adolescent body mass index. Am J Prev Med. 2007; 33: S301–S307
  40. 40Liu, G., Wilson, J., Qi, R., and Ying, J. Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007; 21: 317–325
  41. 41Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068
  42. 42Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195
  43. 43Morton, L. and Blanchard, T. Starved for access: life in rural America's food deserts. (www.ruralsociology.org)Rural Realities. 2007; 1
  44. 44Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Development Perspectives. 1998; 13: 19–26
  45. 45Liese, A., Weis, K., Pluto, D., Smith, E., and Lawson, A. Food store types, availability, and cost of foods in a rural environment. J Am Diet Assoc. 2007; 107: 1916–1923
  46. 46Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627
  47. 47Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. (www.cdc.gov)Prev Chronic Dis. 2006; 3
  48. 48Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554
  49. 49Shaffer, A. The persistence of L.A.'s grocery gap: the need for a new food policy and approach to market development. Center for Food and Justice, Urban and Environmental Policy Institute (UEPI), Occidental College.
  50. 50Alwitt, L. and Donley, T. Retail stores in poor urban neighborhoods. J Consum Aff. 1997; 31: 139–164
  51. 51Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667
  52. 52Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331
  53. 53Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44
  54. 54Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29
  55. 55Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489
  56. 56Hosler, A., Varadarajulu, D., Ronsani, A., Fredrick, B., and Fisher, B. Low-fat milk and high-fiber bread availability in food stores in urban and rural communities. J Public Health Manag Pract. 2006; 12: 556–562
  57. 57Sloane, D., Diamount, A., Lewis, L. et al. Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med. 2003; 18: 568–575
  58. 58Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631
  59. 59Zenk, S. and Powell, L.U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346
  60. 60Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690
  61. 61National Restaurant Association. Restaurant Industry Facts.
  62. 62Lin, B.-H., Guthrie, J., and Frazao, E. Away-from-home foods increasingly important to quality of American Diet (U.S. Department of Agriculture, Economic Research Service, Agriculture Information Bulletin no. 749 1999) .
  63. 63Prentice, A.M. and Jebb, S.A. Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev. 2003; 4: 187–194
  64. 64Wootan, M. and Osborn, M. Availability of nutrition information from chain restaurants in the United States. Am J Prev Med. 2006; 30: 266–268
  65. 65French, S., Harnack, L., and Jeffery, R. Fast food restaurant use among women in the pound of prevention study: dietary, behavioral and demographic correlates. Int J Obes. 2000; 24: 1353–1359
  66. 66Satia, J., Galanko, J., and Siega-Riz, A. Eating at fast-food restaurants is associated with dietary intake, demographic, psychosocial and behavioural factors among African Americans in North Carolina. Public Health Nutr. 2004; 7: 1089–1096
  67. 67Paeratakul, S., Ferdinand, D., Champagne, C., Ryan, D., and Bray, G. Fast-food consumption among U.S. adults and children: dietary and nutrient intake profile. J Am Diet Assoc. 2003; 103: 1332–1338
  68. 68Bowman, S. and Vinyard, B. Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004; 23: 163–168
  69. 69French, S., Story, M., Neumark-Sztainer, D., Fulkerson, J., and Hannan, P. Fast food restaurant use among adolescents: associations with nutrient intake, food choices, behavioral and psychosocial variables. Int J Obesity. 2001; 25: 1823–1833
  70. 70Schmidt, M., Affenito, S., Striegel-Moore, R. et al. Fast-food intake and diet quality in black and white girls. Arch Pediatr Adolesc Med. 2005; 159: 626–631
  71. 71Befort, C., Kaur, H., Nollen, N. et al. Fruit, vegetable, and fat intake among non-Hispanic black and non-Hispanic white adolescents: associations with home availability and food consumption settings. J Am Diet Assoc. 2006; 106: 367–373
  72. 72Wiecha, J., Finkelstein, D., Troped, P., Fragala, M., and Peterson, K. School vending machine use and fast-food restaurant use are associated with sweetened beverage intake in youth. J Am Diet Assoc. 2006; 106: 1624–1630
  73. 73Bowman, S., Gortmaker, S., Ebbeling, C., Pereira, M., and Ludwig, D. Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics. 2004; 113: 112–118
  74. 74Chou, S.-Y., Rashad, I., and Grossman, M. Fast-food restaurant advertising on television and its influence on childhood obesity. National Bureau of Economic Research, Cambridge; 2005
  75. 75Powell, L., Auld, M., Chaloupka, F., O'Malley, P., and Johnston, L. Access to fast food and food prices: relationship with fruit and vegetable consumption and overweight among adolescents. Adv Health Econ Health Serv Res. 2007; 17: 23–48
  76. 76Maddock, J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot. 2004; 19: 137–143
  77. 77Mehta, N. and Chang, V. Weight status and restaurant availability: a multilevel analysis. Am J Prev Med. 2008; 34: 127–133
  78. 78Niemeier, H., Raynor, H., Lloyd-Richardson, E., Rogers, M., and Wing, R. Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006; 39: 842–849
  79. 79Binkley, J., Eales, J., and Jekanowski, M. The relation between dietary change and rising U.S. obesity. Int J Obesity. 2000; 24: 1032–1039
  80. 80Pereira, M., Kartashov, A., Ebbeling, C. et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005; 365: 36–42
  81. 81Thompson, O., Ballew, C., Resnicow, K. et al. Food purchased away from home as a predictor of change in BMI z-score among girls. Int J Obes Relat Metab Disord. 2004; 28: 282–289
  82. 82McCrory, M., Fuss, P., Hays, N., Vinken, A., Greenberg, A., and Roberts, S. Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19 to 80. Obes Res. 1999; 7: 564–571
  83. 83Duffey, K., Gordon-Larsen, P., Jacobs, D., Williams, O., and Popkin, B. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the coronary artery risk development in young adults study. Am J Clin Nutr. 2007; 85: 201–208
  84. 84Chou, S.Y., Grossman, M., and Saffer, H. An economic analysis of adult obesity: results from the behavioral risk factor surveillance system. J Health Econ. 2004; 23: 565–587
  85. 85Burdette, H.L. and Whitaker, R.C. Neighborhood playgrounds, fast food restaurants, and crime: relationships to overweight in low-income preschool children. Prev Med. 2004; 38: 57–63
  86. 86Jeffery, R.W., Baxter, J., McGuire, M., and Linde, J. Are fast food restaurants an environmental risk factor for obesity?. Int J Behav Nutr Phys Act. 2006; 3: 2
  87. 87Block, J.P., Scribner, R.A., and DeSalvo, K.B. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med. 2004; 27: 211–217
  88. 88Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673
  89. 89Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States (associations with neighborhood characteristics) . Am J Prev Med. 2007; 33: S240–S245
  90. 90Simon, P., Dwan, K., Angelescu, A., Shih, M., and Fielding, J. Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?. Prev Med. 2008; 47: 284–288
  91. 91Kipke, M., Iverson, E., Moore, D. et al. Food and park environments: neighborhood-level risks for childhood obesity in East Los Angeles. J Adolesc Health. 2007; 40: 325–333
  92. 92Austin, S., Melly, S., Sanchez, B., Patel, A., Buka, S., and Gortmaker, S. Clustering of fast-food restaurants around schools: a novel application of spatial statistics to the study of food environments. Am J Public Health. 2005; 95: 1575–1581
  93. 93Boone, J., Gordon-Larsen, P., Stewart, J., and Popkin, B. Validation of a GIS facilities database: quantification and implications of error. Ann Epidemiol. 2008; 18: 371–377
  94. 94Yang, D.-H., Bilaver, L., Hayes, O., and Goerge, R. Improving geocoding practices: evaluation of geocoding tools. J Med Syst. 2004; 28: 361–370
  95. 95Schootman, M., Sterling, D., Struthers, J. et al. Positional accuracy and geographic bias of four methods of geocoding in epidemiologic research. Ann Epidemiol. 2007; 17: 464–470
  96. 96Cayo, M. and Talbot, T. Positional error in automated geocoding of residential addresses. Int J Health Geogr. 2003; 2: 10
  97. 97Coulton, C., Korbin, J., Chan, T., and Su, M. Mapping residents' perceptions of neighborhood boundaries: a methodological note. Am J Community Psychol. 2001; 29: 371–383
  98. 98Weiss, L., Ompad, D., Galea, S., and Vlahov, D. Defining neighborhood boundaries for urban health research. Am J Prev Med. 2007; 32: S154–S159
  99. 99Forsyth, A., Schmitz, K., Oakes, M., Zimmerman, J., and Koepp, J. Standards for environmental measurements using GIS: toward a protocol for protocols. J Phys Act Health. 2006; 3: S241–S257
  100. 100Saelens, B., Glanz, K., Sallis, J., and Frank, L. Nutrition environment measures study in restaurants (NEMS-R): development and evaluation. Am J Prev Med. 2007; 32: 273–281
  101. 101Zenk, S., Schulz, A., Mentz, G. et al. Inter-rater and test-retest reliability: methods and results for the neighborhood observational checklist. Health Place. 2007; 13: 452–465
  102. 102Cummins, S. and Macintyre, S. The location of food stores in urban areas: a case study in Glasgow. Br Food J Hyg Rev. 1999; 101: 545–553
  103. 103Smoyer-Tomic, K., Spence, J., and Amrhein, C. Food deserts in the prairies? (Supermarket accessibility and neighborhood need in Edmonton, Canada) . Prof Geogr. 2006; 58: 307–326
  104. 104Winkler, E., Turrell, G., and Patterson, C. Does living in a disadvantaged area mean fewer opportunities to purchase fresh fruit and vegetables in the area? (Findings from the Brisbane food study) . Health Place. 2006; 12: 306–319
  105. 105Pearce, J., Witten, K., Hiscock, R., and Blakely, T. Are socially disadvantaged neighborhoods deprived of health-related community resources?. Int J Epidemiol. 2007; 36: 355–357
  106. 106Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005; 19: 232–244
  107. 107Levy, J. and Institute for Agriculture and Trade Policy. 10 ways to get healthy, local foods into low-income neighborhoods (A Minneapolis resource guide) .
  108. 108Glanz, K. and Hoelscher, D. Increasing fruit and vegetable intake by changing environments, policy and pricing: restaurant-based research, strategies, and recommendations. Prev Med. 2004; 39: S88–S93
  109. 109Glanz, K. and Yaroch, A. Strategies for increasing fruit and vegetable intake in grocery stores and communities: policy, pricing, and environmental change. Prev Med. 2004; 39: S75–S80
  110. 110Ashe, M., Jernigan, D., Kline, R., and Galaz, R. Land use planning and the control of alcohol, tobacco, firearms, and fast food restaurants. Am J Pub Health. 2003; 93: 1404–1408

Appendix References

  1. 1Zenk, S. and Powell, L. U.S. secondary schools and food outlets. Health Place. 2008; 14: 336–346
  2. 2Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690
  3. 3Sharkey, J. and Horel, S. Neighborhood socioeconomic deprivation and minority composition are associated with better potential spatial access to the ground-truthed food environment in a large rural area. J Nutr. 2008; 138: 620–627
  4. 4Moore, L., Roux, A.D., Nettleton, J., and Jacobs, D. Associations of the local food environment with diet quality-a comparison of assessments based on surveys and geographic information systems: the Multi-ethnic Study of Atherosclerosis. Am J Epidemiol. 2008; 167: 917–924
  5. 5Galvez, M., Morland, K., Raines, C. et al. Race and food store availability in an inner-city neighbourhood. Public Health Nutr. 2007; 11: 624–631
  6. 6Morton, L. and Blanchard, T. Starved for access: life in rural America's food deserts. (www.ruralsociology.org/pubs/ruralrealities/issue4.html)Rural Realities. 2007; 1
  7. 7Powell, L., Slater, S., Mirtcheva, D., Bao, Y., and Chaloupka, F. Food store availability and neighborhood characteristics in the United States. Prev Med. 2007; 44: 189–195
  8. 8Wang, M., Kim, S., Gonzalez, A., MacLeod, K., and Winkleby, M. Socioeconomic and food-related physical characteristics of the neighborhood environment are associated with body mass index. J Epidemiol Community Health. 2007; 61: 491–498
  9. 9Moore, L.V. and Diez Roux, A.V. Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health. 2006; 96: 325–331
  10. 10Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am J Public Health. 2005; 95: 660–667
  11. 11Morland, K., Wing, S., and Diez Roux, A. The contextual effect of the local food environment on residents' diets: the Atherosclerosis Risk in Communities Study. Am J Public Health. 2002; 92: 1761–1767
  12. 12Morland, K., Wing, S., Diez Roux, A., and Poole, C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med. 2002; 22: 23–29
  13. 13Shaffer, A. The persistence of L.A.'s grocery gap: the need for a new food policy and approach to market development. (www.departments.oxy.edu/uepi/publications/the_persistence_of.htm)Center for Food and Justice, Urban and Environmental Policy Institute (UEPI), Occidental College, ; 2002
  14. 14Chung, C. and Myers, J. Do the poor pay more for food? (An analysis of grocery store availability and food price disparities) . J Consum Aff. 1999; 33: 276–296
  15. 15Kaufman, P. Rural poor have less access to supermarkets, large grocery stores. Rural Devel Perspect. 1998; 13: 19–26
  16. 16Alwitt, L. and Donley, T. Retail stores in poor urban neighborhoods. J Consum Aff. 1997; 31: 139–164
  17. 17Morland, K. and Filomena, S. Disparities in the availability of fruits and vegetables between racially segregated urban neighborhoods. Public Health Nutr. 2007; 10: 1481–1489
  18. 18Sturm, R. and Datar, A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health. 2005; 119: 1059–1068
  19. 19Baker, E., Schootman, M., Barnidge, E., and Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. (www.cdc.gov/pcd/issues/2006/jul/05_0217.htm)Prev Chronic Dis. 2006; 3
  20. 20Block, D. and Kouba, J. A comparison of the availability and affordability of a market basket in two communities in the Chicago area. Public Health Nutr. 2006; 9: 837–845
  21. 21Hosler, A., Varadarajulu, D., Ronsani, A., Fredrick, B., and Fisher, B. Low-fat milk and high-fiber bread availability in food stores in urban and rural communities. J Public Health Manag Pract. 2006; 12: 556–562
  22. 22Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44
  23. 23Zenk, S.N., Schulz, A.J., Israel, B.A., James, S.A., Bao, S., and Wilson, M.L. Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis. 2006; 16: 275–280
  24. 24Horowitz, C.R., Colson, K.A., Hebert, P.L., and Lancaster, K. Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health. 2004; 94: 1549–1554
  25. 25Sloane, D., Diamount, A., Lewis, L. et al. Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med. 2003; 18: 568–575
  26. 26Fisher, B.D. and Strogatz, D.S. Community measures of low-fat milk consumption: comparing store shelves with households. Am J Public Health. 1999; 89: 235–237
  27. 27Sallis, J., Nader, P., Rupp, J., Atkins, C., and Wilson, W. San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep. 1986; 101: 216–218
  28. 28Simon, P., Dwan, K., Angelescu, A., Shih, M., and Fielding, J. Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?. Prev Med. 2008; 47: 284–288
  29. 29Powell, L., Chaloupka, F., and Bao, Y. The availability of fast-food and full-service restaurants in the United States: associations with neighborhood characteristics. Am J Prev Med. 2007; 33: S240–S245
  30. 30Block, J.P., Scribner, R.A., and DeSalvo, K.B. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med. 2004; 27: 211–217
  31. 31Lewis, L., Sloane, D., Nascimento, L. et al. African Americans' access to healthy food options in South Los Angeles restaurants. Am J Pub Health. 2005; 95: 668–673
  32. 32Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005; 19: 232–244
  33. 33Levy, J. and Institute for Agriculture and Trade Policy. 10 ways to get healthy, local foods into low-income neighborhoods (A Minneapolis resource guide) .
  34. 34Glanz, K. and Hoelscher, D. Increasing fruit and vegetable intake by changing environments, policy and pricing: restaurant-based research, strategies, and recommendations. Prev Med. 2004; 39: S88–S93
  35. 35Glanz, K. and Yaroch, A. Strategies for increasing fruit and vegetable intake in grocery stores and communities: policy, pricing, and environmental change. Prev Med. 2004; 39: S75–S80
  36. 36Ashe, M., Jernigan, D., Kline, R., and Galaz, R. Land use planning and the control of alcohol, tobacco, firearms, and fast food restaurants. Am J Pub Health. 2003; 93: 1404–1408

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