Evidence map›Paper›PMID 30451471›Full record

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.

Kosuke Tamura, Brian Elbel, Jessica K Athens, Pasquale E Rummo, Basile Chaix, Seann D Regan, Yazan A Al-Ajlouni, Dustin T Duncan

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Neighborhood Safety and Hypertension Risk: A Systematic Review.Journal of the American Heart Association · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. 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 · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Obesity and the Built Environment: A Reappraisal.Obesity (Silver Spring, Md.) · 2020
    Review
  13. Article
  14. Neighborhood Social Environment and Cardiovascular Disease Risk.Current cardiovascular risk reports · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Kosuke TamuraCardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. Kosuke.Tamura@nih.gov.
Brian Elbel
Jessica K Athens
Pasquale E Rummo
Basile Chaix
Seann D Regan
Yazan A Al-Ajlouni
Dustin T Duncan
New York University · USInstitut Pierre Louis d‘Épidémiologie et de Santé Publique · FRNational Heart Lung and Blood Institute · US

Funding

Impact of the Food Environment on Child Body Mass Index - Resubmission - 1R01DK097347 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ELBEL, BRIAN · 2013 to 2016
$2.7M
NIDDK NIH HHS R01 DK097347
6 · The paper itself

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.

Indexed as

Blood PressureBody Mass IndexGeographic Information SystemsAdolescentAdultExerciseFemaleFood SupplyHumansMaleMiddle AgedMinority GroupsNew York CityPovertyResidence CharacteristicsSocioeconomic Factors

Identifiers

PMID30451471
PMCPMC8546578
OpenAlexW2901372774

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.