Evidence map›Paper›PMID 28319165›Full record

ArticlePloS one2017

Psychosocial and environmental correlates of active and passive transport behaviors in college educated and non-college educated working young adults.

Dorien Simons, Ilse De Bourdeaudhuij, Peter Clarys, Katrien De Cocker, Bas de Geus, Corneel Vandelanotte, Jelle Van Cauwenberg, Benedicte Deforche

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Dorien SimonsUnit Health Promotion and Education, Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, Ghent, Belgium.ORCID http://orcid.org/0000-0003-3605-1515
Ilse De BourdeaudhuijDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, Belgium.
Peter ClarysResearch unit Physical Activity, Nutrition and Health, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, Belgium.
Katrien De CockerResearch Foundation Flanders, Egmontstraat 5, Brussels, Belgium.
Bas de GeusHuman Physiology Research Group, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, Belgium.
Corneel VandelanotteCentral Queensland University, School for Health, Medical and Applied Science, Physical Activity Research Group, Rockhampton QLD, Australia.
Jelle Van CauwenbergUnit Health Promotion and Education, Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, Ghent, Belgium.
Benedicte DeforcheUnit Health Promotion and Education, Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to examine potential differences in walking, cycling, public transport and passive transport (car/moped/motorcycle) to work and to other destinations between college and non-college educated working young adults. Secondly, we aimed to investigate which psychosocial and environmental factors are associated with the four transport modes and whether these associations differ between college and non-college educated working young adults.

methodsIn this cross-sectional study, 224 working young adults completed an online questionnaire assessing socio-demographic variables (8 items), psychosocial variables (6 items), environmental variables (10 items) and transport mode (4 types) and duration to work/other destinations. Zero-inflated negative binomial regression models were performed in R.

resultsA trend (p<0.10) indicated that more college educated compared to non-college educated young adults participated in cycling and public transport. However, another trend indicated that cycle time and public transport trips were longer and passive transport trips were shorter in non-college compared to college educated working young adults. In all working young adults, high self-efficacy towards active transport, and high perceived benefits and low perceived barriers towards active and public transport were related to more active and public transport. High social support/norm/modeling towards active, public and passive transport was related to more active, public and passive transport. High neighborhood walkability was related to more walking and less passive transport. Only in non-college educated working young adults, feeling safe from traffic and crime in their neighborhood was related to more active and public transport and less passive transport.

conclusionsEducational levels should be taken into account when promoting healthy transport behaviors in working young adults. Among non-college educated working young adults, focus should be on increasing active and public transport participation and on increasing neighborhood safety to increase active and public transport use. Among college educated working young adults, more minutes of active transport should be encouraged.

Indexed as

Educational StatusEnvironmentTransportationAdolescentAdultBicyclingCross-Sectional StudiesFemaleHealth BehaviorHumansInternetMalePerceptionRegression AnalysisResidence CharacteristicsSelf Efficacy

Identifiers

PMID28319165
PMCPMC5358853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.