Evidence map›Paper›PMID 23942215›Full record

ArticleAmerican journal of epidemiology2013

Understanding the independent and joint associations of the home and workplace built environments on cardiorespiratory fitness and body mass index.

Christine M Hoehner, Peg Allen, Carolyn E Barlow, Christine M Marx, Ross C Brownson, Mario Schootman

Abstract read
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. The neighbourhood built environment and health-related fitness: a narrative systematic review.The international journal of behavioral nutrition and physical activity · 2022
    Pooled it
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  18. Categorisation of built environment characteristics: the trouble with tertiles.The international journal of behavioral nutrition and physical activity · 2015
    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

6 authors.

Christine M Hoehner
Peg Allen
Carolyn E Barlow
Christine M Marx
Ross C Brownson
Mario Schootman

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
HPDPRC SIP 13-66U48DP001903 · DP · SAINT LOUIS UNIVERSITY · PI BAKER, ELIZABETH A · 2009 to 2013
$7.3M
Impact of Physical Fitness and Exercise on HealthR37AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2002 to 2005
$2.7M
CORONARY ARTERY CALCIUM, EXERCISE TESTS, AND CHD OUTCOMER01HL062508 · NHLBI · COOPER INSTITUTE · PI LAMONTE, MICHAEL J · 1999 to 2004
$2.5M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
NCCDPHP CDC HHS U48 DP001903NCCDPHP CDC HHS U48/DP001903NCI NIH HHS U48/CA15549NCI NIH HHS U54 CA155496NHLBI NIH HHS HL62508NHLBI NIH HHS R01 HL062508NIA NIH HHS AG06945NIA NIH HHS R01 AG006945NIA NIH HHS R37 AG006945NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

This observational study examined the associations of built environment features around the home and workplace with cardiorespiratory fitness (CRF) based on a treadmill test and body mass index (BMI) (weight (kg)/height (m)(2)). The study included 8,857 adults aged 20-88 years who completed a preventive medical examination in 2000-2007 while living in 12 Texas counties. Analyses examining workplace neighborhood characteristics included a subset of 4,734 participants. Built environment variables were derived around addresses by using geographic information systems. Models were adjusted for individual-level and census block group-level demographics and socioeconomic status, smoking, BMI (in CRF models), and all other home or workplace built environment variables. CRF was associated with higher intersection density, higher number of private exercise facilities around the home and workplace, larger area of vegetation around the home, and shorter distance to the closest city center. Aside from vegetation, these same built environment features around the home were also associated with BMI. Participants who lived and worked in neighborhoods in the lowest tertiles for intersection density and the number of private exercise facilities had lower CRF and higher BMI values than participants who lived and worked in higher tertiles for these variables. This study contributes new evidence to suggest that built environment features around homes and workplaces may affect health.

Indexed as

Body Mass IndexEnvironmentPhysical FitnessAdultAgedAged, 80 and overCross-Sectional StudiesExercise TestFemaleHumansMaleMiddle AgedResidence CharacteristicsSmall-Area AnalysisSocioeconomic FactorsTexasenvironment designexercisegeographic information systemsobesityphysical fitnessworkplace

Identifiers

PMID23942215
PMCPMC3783097

What OpenQuestion holds

Textmetadata
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.