Evidence map›Paper›PMID 25898405›Full record

ArticleInternational journal of environmental research and public health2015

Examining the link between public transit use and active commuting.

Melissa Bopp, Vikash V Gayah, Matthew E Campbell

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020.The international journal of behavioral nutrition and physical activity · 2021
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The Built Environment and Active Travel: Evidence from Nanjing, China.International journal of environmental research and public health · 2016
    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

3 authors.

Melissa BoppDepartment of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA. mjb73@psu.edu.
Vikash V GayahDepartment of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA. gayah@engr.psu.edu.
Matthew E CampbellDepartment of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA. mec378@drexel.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn established relationship exists between public transportation (PT) use and physical activity. However, there is limited literature that examines the link between PT use and active commuting (AC) behavior. This study examines this link to determine if PT users commute more by active modes.

methodsA volunteer, convenience sample of adults (n = 748) completed an online survey about AC/PT patterns, demographic, psychosocial, community and environmental factors. t-test compared differences between PT riders and non-PT riders. Binary logistic regression analyses examined the effect of multiple factors on AC and a full logistic regression model was conducted to examine AC.

resultsNon-PT riders (n = 596) reported less AC than PT riders. There were several significant relationships with AC for demographic, interpersonal, worksite, community and environmental factors when considering PT use. The logistic multivariate analysis for included age, number of children and perceived distance to work as negative predictors and PT use, feelings of bad weather and lack of on-street bike lanes as a barrier to AC, perceived behavioral control and spouse AC were positive predictors.

conclusionsThis study revealed the complex relationship between AC and PT use. Further research should investigate how AC and public transit use are related.

Indexed as

AdultBicyclingDemographyFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisResidence CharacteristicsSurveys and QuestionnairesTransportationWalkingWorkplace

Identifiers

PMID25898405
PMCPMC4410246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.