Evidence map›Paper›PMID 28344118›Full record

ArticlePreventive medicine2017

Geographic variation in the relationship between body mass index and the built environment.

Anna M Adachi-Mejia, Chanam Lee, Chunkuen Lee, Heather A Carlos, Brian E Saelens, Ethan M Berke, Mark P Doescher

Abstract read
In one paragraph

Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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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

7 authors.

Anna M Adachi-MejiaGeisel School of Medicine at Dartmouth, Lebanon, NH, USA; Cancer Control Research Program, Norris Cotton Cancer Center at Dartmouth-Hitchcock, Lebanon, NH, USA; The Dartmouth Institute of Health Policy and Clinical Practice, Lebanon, NH, USA. Electronic address: anna.m.adachi-mejia@dartmouth.edu.
Chanam LeeDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
Chunkuen LeeDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
Heather A CarlosGeisel School of Medicine at Dartmouth, Lebanon, NH, USA; Cancer Control Research Program, Norris Cotton Cancer Center at Dartmouth-Hitchcock, Lebanon, NH, USA.
Brian E SaelensSeattle Children's Research Institute and the University of Washington School of Medicine, Seattle, WA, USA.
Ethan M BerkeGeisel School of Medicine at Dartmouth, Lebanon, NH, USA; Cancer Control Research Program, Norris Cotton Cancer Center at Dartmouth-Hitchcock, Lebanon, NH, USA; The Dartmouth Institute of Health Policy and Clinical Practice, Lebanon, NH, USA.
Mark P DoescherDepartment of Family Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Health Promotion and Disease Prevention Research CenterU48DP005018 · DP · DARTMOUTH COLLEGE · PI ADACHI-MEJIA, ANNA MARIA · 2014 to 2018
$5.6M
Rural town walkability: measuring the effect of the built environmentR01HL103478 · NHLBI · UNIVERSITY OF WASHINGTON · PI DOESCHER, MARK P · 2010 to 2012
$2.0M
ACL HHS U48DP005018NCCDPHP CDC HHS U48 DP005018NCI NIH HHS P30 CA023108NHLBI NIH HHS R01 HL103478
6 · The paper itself

Abstract

Studies examining associations between weight status and neighborhood built environment (BE) have shown inconsistent results and have generally focused on urban settings. However, many Americans do not live in metropolitan areas and BE impacts may be different outside of metropolitan areas. We sought to examine whether the relationship between body mass index (BMI) and neighborhood BE exists and varies by geographic region across small towns in the United States. We conducted telephone surveys with 2156 adults and geographic information systems data in nine towns located within three geographic regions (Northeast, Texas, Washington) in 2011 and 2012. Multiple regression models examined the relationship between individual BMI and BE measures. Most physical activity variables were significantly associated with lower BMI in all geographic regions. We saw variation across geographic region in the relationship between characteristics of the BE variables and BMI. Some perceived and objectively-measured characteristics of the BE were significantly associated with adult BMI, but significant relationships varied by geographic region. For example, in the Northeast, perceived attractiveness of the neighborhood as a reason for why they chose to live there was associated with lower BMI; in Texas, the perceived presence of a fast food restaurant was negatively associated with BMI; in Washington, perceived presence of trees along the streets was associated with lower BMI. Our findings suggest that regional variation plays a role in the relationship between adult BMI and BE characteristics in small towns. Regardless of geographic location, interventions should encourage utilitarian walking and other forms of physical activity.

Indexed as

Body Mass IndexCross-Sectional StudiesEnvironment DesignFemaleGeographic Information SystemsHumansMaleMiddle AgedNew EnglandSocioeconomic FactorsSurveys and QuestionnairesTexasWashingtonBuilt environmentEnvironment designEpidemiological methodsGeographic information systems (GIS)Land useObesityObjective measuresPerceptionPhysical activityRural

Identifiers

PMID28344118
PMCPMC5559354

What OpenQuestion holds

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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.