Neighborhood Risk Factors for Obesity
Abstract
Objective: The goal of this study was to explore neighborhood environmental factors associated with obesity in a sample of adults living in a major U.S. metropolitan area. Research Methods and Procedures: This was a multi‐level study combining data from the U.S. Behavioral Risk Factor Surveillance System with data from the U.S. Census. A total of 15,358 subjects living in 327 zip code tabulation areas were surveyed between 1998 and 2002. The outcome was obesity (BMI >30), and independent variables assessed included individual level variables (age, education, income, smoking status, sex, black race, and Hispanic ethnicity), and zip code level variables (percentage black, percentage Hispanic, percentage with more than a high school education, retail density, establishment density, employment density, population density, the presence of a supermarket, intersection density, median household income, and density of fast food outlets). Results: After controlling for individual level factors, median household income [relative risk (RR) = 0.992; 95% confidence interval (CI) = 0.990, 0.994], population density (RR = 0.98; 95% CI = 0.972, 0.990), employment density (RR = 1.004; 95% CI = 1.001, 1.009), establishment density (RR = 0.981 95% CI = 0.964, 0.999), and the presence of a supermarket (RR = 0.893; 95% CI = 0.815, 0.978) were associated with obesity risk. Fast food establishment density was poorly associated with obesity risk. Discussion: Where one lives may affect obesity status. Given the influence of the presence of a supermarket on obesity risk, efforts to address food access might be a priority for reducing obesity.
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Seven cross-sectional studies in adults and children found greater accessibility to neighborhood supermarkets was associated with lower prevalence of adiposity; 1 county-level ecological study did not.
“Seven cross-sectional studies in both adults and children found that greater accessibility to neighborhood supermarkets (presence, number, or distance) was associated with lower prevalence of adiposity290–297; 1 county-level (ecological) study did not.298”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [291]
Most studies did not find any significant relation between neighborhood accessibility to fast-food restaurants and prevalence of adiposity in either adults or children.
“Most did not find any significant relation between neighborhood accessibility (number, distance, or density) to fast-food restaurants and prevalence of adiposity in either adults or children.173,291,293, 294,299,303–305”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [291]
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- Authors
- Lopez, R. P.
- Affiliations
- Boston University (US)
- Corresponding author
- Lopez, Russ P.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2007-08
- Volume
- 15
- Issue
- 8
- Pages
- 2111-2119
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2086825163
- Cited by
- 281
- References
- 43
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 9 · 2023: 9 · 2022: 13 · 2021: 13 · 2020: 16 · 2019: 15 · 2018: 14 · 2017: 16 · 2016: 14 · 2015: 20 · 2014: 31 · 2013: 20 · 2012: 25
- FWCI
- 36.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Obesity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Environmental Health Sciences (R25 ES12084-03S1, R25ES012084)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- neighborhood environment, built environment, median household income, population density, employment density, supermarket access, food access, fast food restaurants, intersection density, retail density
- MeSH terms
- Data Collection, Female, Humans, Male, Massachusetts, Obesity, Residence Characteristics, Risk Factors, Models, Statistical, Prevalence, Censuses, Geographic Information Systems
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