Obesity and diabetes, the built environment, and the ‘local’ food economy in the United States, 2007
Abstract
Obesity and diabetes are increasingly attributed to environmental factors, however, little attention has been paid to the influence of the 'local' food economy. This paper examines the association of measures relating to the built environment and 'local' agriculture with U.S. county-level prevalence of obesity and diabetes. Key indicators of the 'local' food economy include the density of farmers' markets and the presence of farms with direct sales. This paper employs a robust regression estimator to account for non-normality of the data and to accommodate outliers. Overall, the built environment is associated with the prevalence of obesity and diabetes and a strong local' food economy may play an important role in prevention. Results imply considerable scope for community-level interventions.
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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 [298]
In 2 separate cross-sectional analyses using 2006-2007 BRFSS data, higher per capita density of full-service restaurants was associated with lower BMI and lower prevalence of obesity and diabetes.
“In 2 separate cross-sectional analyses using 2006–2007 BRFSS data, a higher per capita density of full-service restaurants was associated with a lower BMI and lower prevalence of obesity298,306 and diabetes.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 [298]
Exceptions include analyses using BRFSS, in which higher per capita density of fast-food restaurants was associated with higher BMI and prevalence of obesity or diabetes in adults.
“Exceptions include analyses using the BRFSS, in which higher per capita density of fast-food restaurants was associated with higher BMI and prevalence of obesity306 or diabetes298 in adults.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [298]
Neither of two cross-sectional ecological analyses found significant independent relation between density of farmers' markets and prevalent obesity; 1 analysis observed a significant inverse association with prevalent diabetes.
“Neither analysis found significant independent relation between the density of farmers’ markets and prevalent obesity; 1 analysis observed a significant inverse association with prevalent diabetes.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 [298]
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References 65 · Cited by 124
- Authors
- Salois, M. J.
- Affiliations
- University of Reading (GB)
- Corresponding author
- Salois, Matthew J.
- Venue
- Economics & Human Biology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 10
- Issue
- 1
- Pages
- 35-42
- ISSN
- 1570-677X (ISSN-L)
- OpenAlex
- W2058182260
- Cited by
- 124
- References
- 65
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 5 · 2023: 9 · 2022: 8 · 2021: 7 · 2020: 5 · 2019: 8 · 2018: 8 · 2017: 15 · 2016: 11 · 2015: 13 · 2014: 14 · 2013: 6 · 2012: 9
- FWCI
- 9.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Economics & Human Biology (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- CentAUR (University of Reading) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Transportation › Urban Transport and Accessibility
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Urban Green Space and Health
- Keywords
- obesity, diabetes mellitus, built environment, local food economy, farmers' markets, county-level prevalence, community-level interventions, environmental determinants of health, United States counties
- MeSH terms
- Adult, Agriculture, Cross-Sectional Studies, Diabetes Mellitus, Environment Design, Ethnicity, Female, Food Supply, Humans, Male, Obesity, Poverty, Public Health, Regression Analysis, Residence Characteristics, United States, Body Mass Index, Prevalence, Models, Economic
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