ArticlePloS one2019
Impact of multiple food environments on body mass index.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Sustaining Health Promotion in Australian Supermarkets: Qualitative Perspectives From the Reach for the Stars Programme.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026Article
- The Retail Food Environment Index and its association with dietary patterns, body mass index, and socioeconomic position: A multilevel assessment in Mexico.PLOS global public health · 2024Article
- BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends.Nutrients · 2023Article
- Food Availability in Different Food Environments Surrounding Schools in a Vulnerable Urban Area of Santiago, Chile: Exploring Socioeconomic Determinants.Foods (Basel, Switzerland) · 2022Article
- An Indicator Measuring the Influence of the Online Public Food Environment: An Analytical Framework and Case Study.Frontiers in nutrition · 2022Article
- The Association between Fast Food Outlets and Overweight in Adolescents Is Confounded by Neighbourhood Deprivation: A Longitudinal Analysis of the Millennium Cohort Study.International journal of environmental research and public health · 2021Article
- A Proposed Research Agenda for Promoting Healthy Retail Food Environments in the East Asia-Pacific Region.Current nutrition reports · 2021Review
- Heterogeneities in Consumer Diet Quality and Health Outcomes of Consumers by Store Choice and Income.Nutrients · 2021Article
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Authors and funding
1 author.
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Abstract
backgroundAlthough the relationship between residential food environments and health outcomes have been extensively studied, the relationship between body mass index (BMI) and multiple food environments have not been fully explored. We examined the relationship between characteristics of three distinct food environments and BMI among elementary school employees in the metropolitan area of New Orleans, LA. We assessed the food environments around the residential and worksite neighborhoods and the commuting corridors. RESEARCH METHODOLOGY/PRINCIPAL
findingsThis study combined data from three different sources: individual and worksite data (ACTION), food retailer database (Dunn and Bradstreet), and the U.S. Census TIGER/Line Files. Spatial and hierarchical analyses were performed to explore the impact of predictors at the individual and environmental levels on BMI. When the three food environments were combined, the number of supermarkets and the number of grocery stores at residential food environment had a significant association with BMI (β = 0.56 and β = 0.24, p < 0.01), whereas the number of full-service restaurants showed an inverse relationship with BMI (β = -0.15, p < 0.001). For the commute corridor food environment, it was found that each additional fast-food restaurant in a vicinity of one kilometer traveled contributed to a higher BMI (β = 0.80, p <0.05), while adjusting for other factors. No statistical associations were found between BMI and worksite food environment.
conclusionsThe current study was the first to examine the relationship between BMI and food environments around residential neighborhoods, work neighborhoods, and the commuting corridor. Significant results were found between BMI and the availability of food stores around residential neighborhoods and the commuting corridor, adjusted for individual-level factors. This study expands the analysis beyond residential neighborhoods, illustrating the importance of multiple environmental factors in relation to BMI.
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