The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Neighborhood Food Environment and Walkability Predict Obesity in New York City
Open accessAbstract
Background: Differences in the neighborhood food environment may contribute to disparities in obesity. Objectives: The purpose of this study was to examine the association of neighborhood food environments with body mass index (BMI) and obesity after control for neighborhood walkability. Methods: This study employed a cross-sectional, multilevel analysis of BMI and obesity among 13,102 adult residents of New York City. We constructed measures of the food environment and walkability for the neighborhood, defined as a half-mile buffer around the study subject’s home address. Results: Density of BMI-healthy food outlets (supermarkets, fruit and vegetable markets, and natural food stores) was inversely associated with BMI. Mean adjusted BMI was similar in the first two quintiles of healthy food density (0 and 1.13 stores/km2, respectively), but declined across the three higher quintiles and was 0.80 units lower [95% confidence interval (CI), 0.27–1.32] in the fifth quintile (10.98 stores/km2) than in the first. The prevalence ratio for obesity comparing the fifth quintile of healthy food density with the lowest two quintiles combined was 0.87 (95% CI, 0.78–0.97). These associations remained after control for two neighborhood walkability measures, population density and land-use mix. The prevalence ratio for obesity for the fourth versus first quartile of population density was 0.84 (95% CI, 0.73–0.96) and for land-use mix was 0.91 (95% CI, 0.86–0.97). Increasing density of food outlets categorized as BMI-unhealthy was not significantly associated with BMI or obesity. Conclusions: Access to BMI-healthy food stores is associated with lower BMI and lower prevalence of obesity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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 [296]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prevalence of Overweight and Obesity in the United States, 1999-2004
Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006) · JAMA · doi:10.1001/jama.295.13.1549 · Cited by 8,720
Prevalence of Overweight and Obesity in the United States
Crespo, C. J., & Smit, E. (2003) · Human Kinetics eBooks · doi:10.5040/9781718206601.ch-001 · Cited by 4,382
The Next American Metropolis: Ecology, Community, and the American Dream
Calthorpe, P. (1993) · Cited by 1,806
Easy SAS Calculations for Risk or Prevalence Ratios and Differences
Spiegelman, D. L. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi188 · Cited by 1,743
Morland, K., Wing, S., & Roux, A. D. (2002) · American Journal of Public Health · doi:10.2105/ajph.92.11.1761 · Cited by 1,289
Multilevel Analysis in Public Health Research
Roux, A. V. D. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.171 · Cited by 1,224
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Singer, J. D. (1998) · Journal of Educational and Behavioral Statistics · doi:10.2307/1165280 · Cited by 1,092
Food store availability and neighborhood characteristics in the United States
Powell, L. M., Slater, S., Mirtcheva, D., Bao, Y., & Chaloupka, F. J. (2007) · Preventive Medicine · doi:10.1016/j.ypmed.2006.08.008 · Cited by 1,059
Supermarkets, Other Food Stores, and Obesity
Morland, K., Diez Roux, A. V., & Wing, S. (2006) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2005.11.003 · Cited by 1,037
Guthrie, J. F., Lin, B.-H., & Frazao, E. (2002) · Journal of Nutrition Education and Behavior · doi:10.1016/s1499-4046(06)60083-3 · Cited by 973 · cited 2×
“Although eating food pre pared away from home has sometimes been associated with poor diet and higher weight (Gillis and BarOr 2003; Guthrie et al. 2002; Yao et al. 2003), research on consumption of food from nonfastfood restaurants has found no effect on weight or weight gain (Duffey et al.”
Background
Flagged first, then by citations
Research works printed but not linked: 4
- Abdollah, 2007, A strict order for fast food, Los Angeles Times (Los Angeles, CA), A-1
- Graham, 2006, Eating In, Eating Out, Eating Well: Access to Healthy Food in North and Central Brooklyn
- Marter, 2007, Farmers markets go wild, Philadelphia Inquirer (Philadelphia)
- Wallis, 2004, The obesity warriors, Time Magazine, 92
Cited by
Sorted by citations
Items 401–407 of 407
Neighborhood Racial Composition, Socioeconomic Status, and Obesity Among Older Black Adults
Mills, C., Gutiérrez, Á., Thorpe, R. J., Leoutsakos, J., & Tobin, C. S. T. (2026) · Journal of Aging and Health · doi:10.1177/08982643261447321
Lê‐Scherban, F., Norman, J., Ryan, V., Beverly, M., Rodrigues, N. M., Jannetti, M., Courts, K. A., Fusfeld, Z. H., Carroll‐Scott, A., Mayne, S. L., et al. (2026) · Annals of Epidemiology · doi:10.1016/j.annepidem.2026.110149
Ahn, J., Halloran, Z., Beggs, D. B., Wu, F. C., Duan, Y., Hwang, H., Zhu, Z., Flores, V., Albergamo, V., Kwak, S., et al. (2026) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-26-0178
Desigualdades territoriais do ambiente alimentar de regiões metropolitanas brasileiras
Scaciota, L. L., Kanai, C. M., da Silva, M. A. L., & Levy, R. B. (2026) · Revista Brasileira de Epidemiologia · doi:10.1590/1980-549720260040.2
Human capital in the context of environmental health risks: A narrative review
Rojas‐Rueda, D., Larson, M., Mahdi, K., Albalawi, S., Alasfoor, E., Alsukait, R. F., Çetinkaya, V., Sabarwal, S., Koettel, J., & Herbst, C. H. (2026) · Environmental Science & Policy · doi:10.1016/j.envsci.2026.104475
Bhagavathula, A. S., & Williams, M. A. (2026) · Journal of Medical Internet Research · doi:10.2196/95977
So, A., Setodji, K. D., Kelley, M. A., Akmyradov, C., Soltero, E. G., Thompson, D. I., Dave, J. M., Moreno, J. P., & Musaad, S. M. A. (2026) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph23111366
Metadata
- Authors
- Rundle, A., Neckerman, K. M., Freeman, L., Lovasi, G. S., Purciel, M., Quinn, J., Richards, C., Sircar, N., & Weiss, C.
- Affiliations
- Columbia University (US)
- Institute for Social and Economic Research (GB)
- Urban Planning, Graduate School of Architecture, Planning, and Preservation and
- Corresponding author
- Rundle, Andrew
- ORCID
- Venue
- Environmental Health Perspectives
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-10-02
- Volume
- 117
- Issue
- 3
- Pages
- 442-447
- ISSN
- 0091-6765 (ISSN-L)
- 1552-9924
- PMC
- PMC2661915
- OpenAlex
- W1974306396
- Cited by
- 411
- References
- 39
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 17 · 2023: 13 · 2022: 23 · 2021: 20 · 2020: 22 · 2019: 31 · 2018: 23 · 2017: 33 · 2016: 31 · 2015: 31 · 2014: 30 · 2013: 34 · 2012: 40
- FWCI
- 37.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/licenses/by/4.0/ (vor, 3375 d)
- Locations
- Environmental Health Perspectives (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01es014229-04)
- National Institute of Environmental Health Sciences (R01-ES014229, 5R01ES014229)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Urban Studies › Urban Green Space and Health
- Keywords
- neighborhood food environment, walkability, obesity, body mass index, food deserts, population density, mixed land use, food access disparities, New York City
- MeSH terms
- Cross-Sectional Studies, Environment, Geography, Humans, New York City, Obesity, Urban Population, Body Mass Index, Prevalence, Walking, Food, Organic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review