Evidence map›Paper›PMID 26085979›Full record

ArticleJournal of transport & health2015

Choice of commuting mode among employees: Do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter?

Lin Yang, J Aaron Hipp, Deepti Adlakha, Christine M Marx, Rachel G Tabak, Ross C Brownson

Abstract read
In one paragraph

Article in Journal of transport & health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Exploring Neighborhood Environments and Active Commuting in Chennai, India.International journal of environmental research and public health · 2018
    Article
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  12. Review
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.

Lin YangDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, USA.
J Aaron HippBrown School, Washington University in St. Louis, USA. ; Prevention Research Center in St. Louis, Washington University in St. Louis, USA.
Deepti AdlakhaBrown School, Washington University in St. Louis, USA.
Christine M MarxDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, USA.
Rachel G TabakBrown School, Washington University in St. Louis, USA. ; Prevention Research Center in St. Louis, Washington University in St. Louis, USA.
Ross C BrownsonDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, USA. ; Brown School, Washington University in St. Louis, USA. ; Prevention Research Center in St. Louis, Washington University in St. Louis, USA. ; Alvin J. Siteman Cancer Center, Washington University School of Medicine, USA.

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
NCI NIH HHS U54 CA155496NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundPromoting the use of public transit and active transport (walking and cycling) instead of car driving is an appealing strategy to increase overall physical activity. PURPOSE: To quantify the combined associations between self-reported home and worksite neighborhood environments, worksite support and policies, and employees' commuting modes.

methodBetween 2012 and 2013, participants residing in four Missouri metropolitan areas were interviewed via telephone (n = 1,338) and provided information on socio-demographic characteristics, home and worksite neighborhoods, and worksite support and policies. Commuting mode was self-reported and categorized into car driving, public transit, and active commuting. Commuting distance was calculated using geographic information systems. Commuters providing completed data were included in the analysis. Multivariate logistic regression models were used to examine the correlates of using public transit and active commuting.

resultThe majority of participants reported commuting by driving (88.9%); only 4.9% used public transit and 6.2% used active modes. After multivariate adjustment, having transit stops within 10-15 minutes walking distance from home (p=0.05) and using worksite incentive for public transit (p<0.001) were associated with commuting by public transit. Commuting distance (p<0.001) was negatively associated with active commuting. Having free or low cost recreation facilities around the worksite (p=0.04) and using bike facilities to lock bikes at the worksite (p<0.001) were associated with active commuting.

conclusionBoth environment features and worksite supports and policies are associated with the choice of commuting mode. Future studies should use longitudinal designs to investigate the potential of promoting alternative commuting modes through worksite efforts that support sustainable commuting behaviors as well as the potential of built environment improvements.

Indexed as

Active commutingemployeesneighborhood environmentpublic transitworksite policyworksite support

Identifiers

PMID26085979
PMCPMC4465081

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.