Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

  • Kosuke Tamura | Kosuke.Tamura@nih.gov Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States.
  • Brian Elbel Department of Population Health, New York University School of Medicine; Wagner Graduate School of Public Service, New York University, New York, NY, United States.
  • Jessica K. Athens Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Pasquale E. Rummo Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Basile Chaix Sorbonne Universités, UPMC Univ Paris 06; Inserm, UMR S 1136, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
  • Seann D. Regan Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Yazan A. Al-Ajlouni Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Dustin T. Duncan Department of Population Health, New York University School of Medicine, New York, NY, United States.

Abstract

Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual’s mobility.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.
Published
2018-11-09
Info
Issue
Section
Original Articles
Keywords:
Neighborhood Food Environment, Low-Income Housing Residents, Geographic Information Systems, Global Positioning Systems, Health Disparities
Statistics
  • Abstract views: 1092

  • PDF: 443
  • HTML: 38
How to Cite
Tamura, K., Elbel, B., Athens, J. K., Rummo, P. E., Chaix, B., Regan, S. D., Al-Ajlouni, Y. A., & Duncan, D. T. (2018). Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City. Geospatial Health, 13(2). https://doi.org/10.4081/gh.2018.712

Most read articles by the same author(s)