Evidence map›Paper›PMID 27288290›Full record

ArticleAmerican journal of preventive medicine2016

Adult BMI and Access to Built Environment Resources in a High-Poverty, Urban Geography.

Elizabeth L Tung, Monica E Peek, Jennifer A Makelarski, Veronica Escamilla, Stacy T Lindau

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Spatial Context and Health Inequity: Reconfiguring Race, Place, and Poverty.Journal of urban health : bulletin of the New York Academy of Medicine · 2017
    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

5 authors.

Elizabeth L TungDepartment of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, Illinois. Electronic address: eliztung@uchicago.edu.
Monica E PeekDepartment of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, Illinois.
Jennifer A MakelarskiDepartment of Obstetrics and Gynecology, University of Chicago, Chicago, Illinois.
Veronica EscamillaDepartment of Obstetrics and Gynecology, University of Chicago, Chicago, Illinois.
Stacy T LindauDepartment of Obstetrics and Gynecology, University of Chicago, Chicago, Illinois; Department of Medicine-Geriatrics, the MacLean Center on Clinical Medical Ethics, and the Comprehensive Cancer Center; University of Chicago, Chicago, Illinois; Urban Health Initiative at the University of Chicago Medicine, Chicago, Illinois.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
PROGRAM DEVELOPMENT COREP30AG012857 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA · 1999 to 2013
$5.7M
NRSA INSTITUTIONAL TRAINING GRANTT32HS000078 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOLL, JANE LOUISE · 1998 to 2018
$5.6M
Evaluating a Self-Care Innovation for Older Adults using Agent-Based ModelingR01AG047869 · NIA · UNIVERSITY OF CHICAGO · PI LINDAU, STACY TESSLER · 2014 to 2018
$3.4M
AHRQ HHS T32 HS000078NIA NIH HHS P30 AG012857NIA NIH HHS R01 AG047869NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

introductionThe purpose of this study is to examine the relationship between BMI and access to built environment resources in a high-poverty, urban geography.

methodsParticipants (aged ≥35 years) were surveyed between November 2012 and July 2013 to examine access to common health-enabling resources (grocers, outpatient providers, pharmacies, places of worship, and physical activity resources). Survey data were linked to a contemporaneous census of built resources. Associations between BMI and access to resources (potential and realized) were examined using independent t-tests and multiple linear regression. Data analysis was conducted in 2014-2015.

resultsMedian age was 53.8 years (N=267, 62% cooperation rate). Obesity (BMI ≥30) prevalence was 54.9%. BMI was not associated with potential access to resources located nearest to home. Nearly all participants (98.1%) bypassed at least one nearby resource type; half bypassed nearby grocers (realized access >1 mile from home). Bypassing grocers was associated with a higher BMI (p=0.03). Each additional mile traveled from home to a grocer was associated with a 0.9-higher BMI (95% CI=0.4, 1.3). Quality and affordability were common reasons for bypassing resources.

conclusionsDespite potential access to grocers in a high-poverty, urban region, half of participants bypassed nearby grocers to access food. Bypassing grocers was associated with a higher BMI.

Indexed as

Body Mass IndexAdultCitiesFemaleHumansMaleMiddle AgedPovertyResidence CharacteristicsUrban Population

Identifiers

PMID27288290
PMCPMC5067168

What OpenQuestion holds

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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.