ArticleGeospatial health2018
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.
Article in Geospatial health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Neighborhood Safety and Hypertension Risk: A Systematic Review.Journal of the American Heart Association · 2025Pooled it
- Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda.International journal of health geographics · 2024Pooled it
- Pooled it
- Environmental Risk and Adverse Perinatal Health Indicators in New York City: A Geospatial Hotspot Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Neighborhood Factors as Correlates of Alcohol Use in the N2 Cohort Study of Black Sexually Minoritized Men and Transgender Women.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Article
- Association between neighbourhood food environment and dietary quality among adolescents in Kuala Lumpur, Malaysia.Heliyon · 2025Article
- Molecular connections between inflammation and social determinants of health.Frontiers in epidemiology · 2025Review
- Structural racism and homophobia evaluated through social media sentiment combined with activity spaces and associations with mental health among young sexual minority men.Social science & medicine (1982) · 2023Article
- Social Determinants of Cardiovascular Disease.Circulation research · 2022Review
- Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study.JMIR research protocols · 2021Article
- An activity space approach to understanding how food access is associated with dietary intake and BMI among urban, low-income African American women.Health & place · 2020Article
- Obesity and the Built Environment: A Reappraisal.Obesity (Silver Spring, Md.) · 2020Review
- Neighborhood physical food environment and cardiovascular risk factors in India: Cross-sectional evidence from APCAPS.Environment international · 2019Article
- Neighborhood Social Environment and Cardiovascular Disease Risk.Current cardiovascular risk reports · 2019Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
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.
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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.