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Neighborhood Environments
Disparities in Access to Healthy Foods in the U.S.
Correspondence
- Address correspondence and reprint requests to: Nicole I. Larson, PhD, MPH, RD, West Bank Office Building, Suite 300, University of Minnesota, 1300 South Second Street, Minneapolis MN 55454
Correspondence information about the author PhD, MPH, RD Nicole I. LarsonCorrespondence
- Address correspondence and reprint requests to: Nicole I. Larson, PhD, MPH, RD, West Bank Office Building, Suite 300, University of Minnesota, 1300 South Second Street, Minneapolis MN 55454
Article Info
Article Outline
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;
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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;
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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;
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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;
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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;
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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;
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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
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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;
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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;
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Crossref | PubMed | 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
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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
Crossref | PubMed | Scopus (38) | 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
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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
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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
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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;
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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;
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Restaurants and Dietary Intake
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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;
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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;
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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;
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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;
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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;
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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;
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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 CAppendix 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;
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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;
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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;
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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;
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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;
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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;
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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;
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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;
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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 DAppendix D, online at www.ajpm-online.net). 106x106Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005;
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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
| Reference | Setting and sample | Food sources examined | Data sources | Summary 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 schools | 48,460 convenience stores, defined by proprietary SIC codes | 2004–2005 NCESCCD; census 2000 and Census Bureau 2005 population figures; D&B |
|
| 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 schools | Snack and nonalcoholic beverage shops, convenience stores or food marts, off-licenses, alcoholic drinking places, defined by NAICS codes | 2003–2004 NCESCCD; InfoUSA |
|
| 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 TX | 213 supermarkets, grocery stores, convenience stores, discount stores, beverage stores, and specialty food stores, defined by a modified version of 2002 NAICS codes | Ground truthing and camera-based GPS; local/area telephone directories; Internet telephone directories; TX Department of Agriculture |
|
| 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 NY | Supermarkets, defined by SIC codes, chain name recognition, and >50 employees | InfoUSA |
|
| 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 Harlem | 219 supermarkets, grocery stores, convenience stores, and specialty stores, defined by number of cash registers and the types of food sold | Census 2000; block-by-block walking survey by a single surveyor in 2004 |
|
| 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 county | Large retailers (supermarkets or supercenters employing ≥50 staff) | 1999 U.S. Bureau of the Census ZIP Code Business Patterns data; census 2000 |
|
| 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 codes | Chain and nonchain supermarkets, grocery stores, convenience stores, defined by primary SIC codes | D&B; census 2000 |
|
| 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 definitions | 1980 and 1990 census; State Board of Equalization and telephone business directories for the years 1979–1990 | Residents 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 NY | Grocery 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 recognition | InfoUSA; census 2000 |
|
| 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 Detroit | 160 supermarkets | Michigan Department of Agriculture; paper and online telephone directories; address confirmations by phone; census 2000 |
|
| 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 ARIC | Supermarkets, grocery stores, convenience stores, and specialty food stores, defined by the 1997 NAICS | 1990 census; 1999 data from local health departments and state agriculture departments |
|
| 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 ARIC | Supermarkets, grocery stores, convenience stores, and specialty food stores, defined by the 1997 NAICS | 1990 census; local departments of environmental health and state departments of agriculture |
|
| 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 Angeles | 56 independent and chain grocery stores and supermarkets | American Business Directory online |
|
| 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 Crossref | Google ScholarSee all References | Hennepin and Ramsey counties, MN | 526 grocery stores and convenience stores (excluding gas stations), defined by SIC codes and chain name recognition | 1994 American Business Directory; 1990 Current Population Survey |
|
| 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 data | 1990 census; Food and Nutrition Service data on food stamp issuances and redemptions |
|
| 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 areas | Small grocery stores, large grocery stores, and supermarkets, defined by SIC codes | 1990 Census of Retail Trade; 1995 Prophone CD-ROM telephone database, The Sourcebook of ZIP Code Demographics |
|
| 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 Brooklyn | 50% stratified random sample of 166 supermarkets, small grocery stores, fruit and vegetable markets and delicatessens, defined by store name | NY State Department of Agriculture and Markets; 2004–2005 in-store observations by a trained surveyor; census 2000 |
|
| 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, SC | 77 supermarkets, grocery stores, and convenience stores, defined by store managers and annual sales | Census 2000; SC Department of Health and Environmental Control; ground truthing; in-store observations by trained surveyors in 2004 |
|
| 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 MO | 81 supermarkets and major-chain grocery stores | 2003–2004 in-store observations by trained staff; census 2000 |
|
| 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 data | InfoUSA; ground truthing; in-store observations by trained surveyors |
|
| 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 |
|
| 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 Sacramento | 25 grocery stores and supermarkets, including fresh meat and dairy sections | In-store observations (three times per store over 1 year) by trained surveyors in 2003–2004 | Nearly 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 characteristics | 304 chain grocery, large independent grocery, “mom-and-pop” grocery, convenience without gasoline, specialty, and liquor stores | MI Department of Agriculture, in-store observations by trained surveyors in 2002 |
|
| 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 |
|
| 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 supermarkets | In-store observations by trained surveyors in 2001–2002; census 2000 |
|
| 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 counties | 503 food stores selected by random sampling within each ZIP code | NY State Department of Agriculture and Markets; in-store observations in 1994; 1990 census |
|
| 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 report | 77 supermarkets, “mom and pop” groceries, convenience stores, and health-food stores | Interviews with neighborhood residents; neighborhood and in-store observations by trained surveyors | Residents of middle-income neighborhoods had greater access to low-sodium and low-fat foods than residents of low- and high-income neighborhoods |
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
| Reference | Setting and sample | Food sources examined | Data sources | Summary 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 schools | 80,878 fast-food restaurants, defined by proprietary SIC codes | 2004–2005 NCESCCD; census 2000 and Census Bureau 2005 population figures; D&B |
|
| 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 schools | Limited-service restaurants | 2003–2004 NCESCCD; InfoUSA |
|
| 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 County | 2712 fast-food restaurants, representing 18 chains | CA Department of Education; food inspection/safety program databases of Los Angeles County, Pasadena City, and Long Beach City health departments | Fast-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 Harlem | 186 full-service and fast-food restaurants | census 2000; block-by-block walking survey by a single surveyor in 2004 | Predominately 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 codes | 69,219 fast-food restaurants and 259,182 full-service restaurants, defined by SIC codes | D&B data for the year 2000; census 2000 |
|
| 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 chicken | 1980 and 1990 census; State Board of Equalization and telephone business directories for the years 1979–1990 | Residents 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 Orleans | 155 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 1999 | For 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 ARIC | Fast-food restaurants and full-service restaurants, defined by the 1997 NAICS | 1990 census; 1999 data from local health departments and state agriculture departments |
|
| 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 ARIC | Fast-food restaurants, full-service restaurants, carryout eating places, carryout specialty items, bars and taverns, defined by the 1997 NAICS | 1990 census; local departments of environmental health and state departments of agriculture |
|
| 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, MO | 355 fast-food restaurants | Review of corporate restaurant menus; restaurant audits by trained staff; 2000 Census of Population and Housing; 2000 Census of Businesses |
|
| 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 income | Limited-service restaurants and full-service restaurants, defined by NAICS | Trained surveyors; city offices of environmental health; census data |
|
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
|
| Strategies for attracting supermarkets to underserved neighborhoods |
|
| Strategies for improving the availability of fruits, vegetables, and other healthy foods |
|
| Strategies for improving access to healthy foods at restaurants |
|
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Appendix References
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- 2Sturm, R. Disparities in the food environment surrounding U.S. middle and high schools. Public Health. 2008; 122: 681–690
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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- 16Alwitt, L. and Donley, T. Retail stores in poor urban neighborhoods. J Consum Aff. 1997; 31: 139–164
- 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
- 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
- 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
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- 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
- 22Jetter, K. and Cassady, D. The availability and cost of healthier food alternatives. Am J Prev Med. 2006; 30: 38–44
- 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
- 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
- 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
- 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
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- 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
- 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
- 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
- 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
- 32Pothukuchi, K. Attracting supermarkets to inner-city neighborhoods: economic development outside the box. Economic Development Quarterly. 2005; 19: 232–244
- 33Levy, J. and Institute for Agriculture and Trade Policy. 10 ways to get healthy, local foods into low-income neighborhoods (A Minneapolis resource guide) .
- 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
- 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
- 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
The full text of this article is available via AJPM Online at www.ajpm-online.net; 1 unit of Category-1 CME credit is also available, with details on the website.
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