ArticleHealth & place2015
Built environment and obesity by urbanicity in the U.S.
Article in Health & place, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed.
- Associations between historical redlining and BMI: Potential indirect pathways through neighborhood socioeconomic and environment factors and their associated lifestyle behaviors in CARDIA.Health & place · 2026Article
- Measurement tools to assess the obesogenic environment in neighborhood: a scoping review.BMC public health · 2025Article
- Association of activity-based food environment index with obesity-related cancer mortality in the US.BMC medicine · 2025Article
- Place effects on adult obesity and cardiometabolic health: Evidence from a natural experiment.Health & place · 2025Article
- Tackling the complexity of obesity in the US through adaptation of public health strategies.Frontiers in public health · 2025Review
- Built environment and childhood obesity.World journal of clinical pediatrics · 2024Review
- Associations of Historical Redlining With BMI and Waist Circumference in Coronary Artery Risk Development in Young Adults.AJPM focus · 2024Article
- Equity in Obesity Review.Endocrinology and metabolism clinics of North America · 2023Review
- Integrating human activity into food environments can better predict cardiometabolic diseases in the United States.Nature communications · 2023Article
- Refining 2SVCA Method for Measuring Telehealth Accessibility of Primary Care Physicians in Baton Rouge, Louisiana.Cities (London, England) · 2023Article
- Explaining obesity disparities by urbanicity, 2006 to 2016: A decomposition analysis.Obesity (Silver Spring, Md.) · 2023Article
- Selective Daily Mobility Bias in the Community Food Environment: Case Study of Greater Hartford, Connecticut.Nutrients · 2023Article
- Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis.International journal of environmental research and public health · 2022Article
- Lessons from sustainability of Play Streets in the United States.Preventive medicine reports · 2022Article
- Analysis of Spatial Distribution of CVD and Multiple Environmental Factors in Urban Residents.Computational intelligence and neuroscience · 2022Article
- Associations between Fast-Food Restaurants Surrounding Kindergartens and Childhood Obesity: Evidence from China.International journal of environmental research and public health · 2021Article
- Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel.Health & place · 2021Article
- Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S.Travel behaviour & society · 2021Article
- Is food environment associated with body mass index, overweight and obesity? A study with adults and elderly subjects from southern Brazil.Preventive medicine reports · 2021Article
- Associations of neighborhood physical and crime environments with obesity-related outcomes in Jamaica.PloS one · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Based on the data from the Behavioral Risk Factor Surveillance System 2012, this study examines the association of neighborhood built environments with individual physical inactivity and obesity in the U.S. Multilevel modeling is used to control for the effects of individual socio-demographic characteristics. Neighborhood variables include built environment, poverty level and urbanicity at the county level. Among the built environment variables, a poorer street connectivity and a more prominent presence of fast-food restaurants are associated with a higher obesity risk (especially for areas of certain urbanicity levels). Analysis of data subsets divided by areas of different urbanicity levels and by gender reveals the variability of effects of independent variables, more so for the neighborhood variables than individual variables. This implies that some obesity risk factors are geographically specific and vary between men and women. The results lend support to the role of built environment in influencing people's health behavior and outcome, and promote public policies that need to be geographically adaptable and sensitive to the diversity of demographic groups.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.