Background
GIS-based walkability measures designed to explain active travel fail to capture “playability”
and proximity to healthy food. These constructs should be considered when measuring
potential child obesogenic environments.
Purpose
The aim of this study was to describe the development of GIS-based multicomponent
physical activity and nutrition environment indicators of child obesogenic environments
in the San Diego and Seattle regions.
Methods
Block group–level walkability (street connectivity, residential density, land-use
mix, and retail floor area ratio) measures were constructed in each region. Multiple
sources were used to enumerate parks (∼900–1600 per region) and food establishments
(∼10,000 per region). Physical activity environments were evaluated on the basis of
walkability and presence and quality of parks. Nutrition environments were evaluated
based on presence and density of fast-food restaurants and distance to supermarkets.
Four neighborhood types were defined using high/low cut points for physical activity
and nutrition environments defined through an iterative process dependent on regional
counts of fast-food outlets and overall distance to parks and grocery stores from
census block groups where youth live.
Results
To identify sufficient numbers of children aged 6–11 years, high physical activity
environment block groups had at least one high-quality park within 0.25 miles and
were above median walkability, whereas low physical activity environment groups had
no parks and were below median walkability. High nutrition environment block groups
had a supermarket within 0.5 miles, and fewer than 16 (Seattle) and 31 (San Diego)
fast-food restaurants within 0.5 miles. Low nutrition environments had either no supermarket,
or a supermarket and more than 16 (Seattle) and 31 (San Diego) fast-food restaurants
within 0.5 miles. Income, educational attainment, and ethnicity varied across physical
activity and nutrition environments.
Conclusions
These approaches to defining neighborhood environments can be used to study physical
activity, nutrition, and obesity outcomes. Findings presented in a companion paper
validate these GIS methods for measuring obesogenic environments.
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References
- Preventing childhood obesity: health in the balance.National Academies Press, Washington DC2005
- Local government actions to prevent childhood obesity.National Academies Press, Washington DC2009
- Obesogenic environments: exploring the built and food environments.J R Soc Promot Health. 2006; 126: 262-267
- The development of a walkability index: application to the Neighborhood Quality of Life Study.Br J Sports Med. 2010; 44: 924-933
- School location and student travel analysis of factors affecting mode choice.Transp Res Record. 2004; 1895: 55-63
- Personal, family, social, and environmental correlates of active commuting to school.Am J Prev Med. 2006; 30: 45-51
- Associations among individual, social, and environmental barriers and childrens walking or cycling to school.Am J Health Promot. 2007; 22: 107-113
- Walking and cycling to school: predictors of increases among children and adolescents.Am J Prev Med. 2009; 36: 195-200
- Trends in Australian children traveling to school 1971-2003: burning petrol or carbohydrates?.Prev Med. 2008; 46: 60-62
- The relative influence of urban form on a child's travel mode to school.Transp Res Part A Policy Pract. 2007; 41: 69-79
- The influence of the physical environment and sociodemographic characteristics on childrens mode of travel to and from school.Am J Public Health. 2009; 99: 520-526
- Neighborhood design and rates of walking and biking to elementary school in 34 California communities.Am J Health Promot. 2004; 19: 128-136
- School trips: effects of urban form and distance on travel mode.J Am Plann Assoc. 2006; 72: 337-346
- Urban form relationships with youth physical activity: implications for research and practice.J Plann Lit. 2011; 26: 280-308
- Changes in physical activity patterns in the U.S., by sex and cross-sectional age.Med Sci Sports Exerc. 2000; 32: 1601-1609
- Assessment of physical activity among children and adolescents: a review and synthesis.Prev Med. 2000; 31: S54-S76
- Urban form relationships with walk trip frequency and distance among youth.Am J Health Promot. 2007; 21: 305-311
- Urban form correlates of pedestrian travel in youth: differences by gender, race-ethnicity and household attributes.Transp Res Pt D. 2007; 12: 177-182
- Association of access to parks and recreational facilities with the physical activity of young children.Prev Med. 2006; 43: 437-441
- Physical activity among adolescents.Am J Prev Med. 2008; 34: 345-348
- Neighborhood environment and physical activity among youth: a review.Am J Prev Med. 2011; 41: 442-455
- Associations between access to food stores and adolescent body mass index.Am J Prev Med. 2007; 33: S301-S307
- Green neighborhoods, food retail and childhood overweight: differences by population density.Am J Health Promot. 2007; 21: 317-325
- Body mass index in elementary school children, metropolitan area food prices and food outlet density.Public Health. 2005; 119: 1059-1068
- Neighborhood playgrounds, fast food restaurants, and crime: relationships to overweight in low-income preschool children.Prev Med. 2004; 38: 57-63
- Are fast food restaurants an environmental risk factor for obesity?.Int J Behav Nutr Phys Act. 2006; 3: 2
- Creating healthy food and eating environments: policy and environmental approaches.Annu Rev Public Health. 2008; 29: 253-272
- Obesogenic neighborhood environments, child and parent obesity: the Neighborhood Impact on Kids study.Am J Prev Med. 2012; 42: e57-e64
- Evaluating a brief self-report measure of neighborhood environments for physical activity research and surveillance: Physical Activity Neighborhood Environment Scale (PANES).J Phys Act Health. 2010; 7: 533-540
- Nutrition Environment Measures Survey in stores (NEMS-S): development and evaluation.Am J Prev Med. 2007; 32: 282-289
- Nutrition Environment Measures Study in restaurants (NEMS-R): development and evaluation.Am J Prev Med. 2007; 32: 273-281
- From neighborhood design and food options to residents' weight status.Appetite. 2011; 56: 693-703
- Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments.Am J Epidemiol. 2010; 172: 1324-1333
- A hierarchy of sociodemographic and environmental correlates of walking & obesity.Prev Med. 2008; 47: 172-178
- Contributions of built environment to childhood obesity.Mt Sinai J Med. 2011; 78: 49-57
- Physical activity and food environments: solutions to the obesity epidemic.Milbank Q. 2009; 87: 123-154
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© 2012 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.