Evidence map›Paper›PMID 26646510›Full record

Observational studyThe international journal of behavioral nutrition and physical activity2015

Walking and cycling for commuting, leisure and errands: relations with individual characteristics and leisure-time physical activity in a cross-sectional survey (the ACTI-Cités project).

Mehdi Menai, Hélène Charreire, Thierry Feuillet, Paul Salze, Christiane Weber, Christophe Enaux, Valentina A Andreeva, Serge Hercberg, Julie-Anne Nazare, Camille Perchoux and 2 more

Abstract readObservational Study
In one paragraph

Observational study in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Active Transportation and Obesity Indicators in Adults from Latin America: ELANS Multi-Country Study.International journal of environmental research and public health · 2020
    Observational
  15. Article
  16. Association of changes in commute mode with body mass index and visceral adiposity: a longitudinal study.The international journal of behavioral nutrition and physical activity · 2019
    Article
  17. Article
  18. Article
  19. Observational
  20. 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

12 authors.

Mehdi MenaiUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. m.menai@eren.smbh.univ-paris13.fr.
Hélène CharreireUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. helene.charreire@u-pec.fr.
Thierry FeuilletUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. t.feuillet@eren.smbh.univ-paris13.fr.
Paul SalzeLaboratoire Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France. paul.salze@live-cnrs.unistra.fr.
Christiane WeberLaboratoire Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France. christiane.weber@live-cnrs.unistra.fr.
Christophe EnauxLaboratoire Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France. christophe.enaux@live-cnrs.unistra.fr.
Valentina A AndreevaUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. v.andreeva@eren.smbh.univ-paris13.fr.
Serge HercbergUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. s.hercberg@eren.smbh.univ-paris13.fr.
Julie-Anne NazareCARMEN, Inserm U1060, Université de Lyon 1, Inra U1235, Lyon, France. julie-anne.nazare@cens-nutrition.com.
Camille PerchouxCARMEN, Inserm U1060, Université de Lyon 1, Inra U1235, Lyon, France. camille.perchoux@gmail.com.
Chantal SimonCARMEN, Inserm U1060, Université de Lyon 1, Inra U1235, Lyon, France. chantal.simon@univ-lyon1.fr.
Jean-Michel OppertUniversité Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017, France. jean-michel.oppert@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing active transport behavior (walking, cycling) throughout the life-course is a key element of physical activity promotion for health. There is, however, a need to better understand the correlates of specific domains of walking and cycling to identify more precisely at-risk populations for public health interventions. In addition, current knowledge of interactions between domains of walking and cycling remains limited.

methodsWe assessed past-month self-reported time spent walking and cycling in three specific domains (commuting, leisure and errands) in 39,295 French adult participants (76.5% women) of the on-going NutriNet Santé web-cohort. Multivariate logistic regression models were used to investigate the associations with socio-demographic and physical activity correlates.

resultsHaving a transit pass was strongly positively associated with walking for commuting and for errands but was unrelated to walking for leisure or to all domains of cycling. Having a parking space at work was strongly negatively associated with walking for commuting and cycling for commuting. BMI was negatively associated with both walking for leisure and errands, and with the three domains of cycling. Leisure-time physical activity was negatively associated with walking for commuting but was positively associated with the two other domains of walking and with cycling (three domains). Walking for commuting was positively associated with the other domains of walking; cycling for commuting was also positively associated with the other domains of cycling. Walking for commuting was not associated with cycling for commuting.

conclusionsIn adults walking and cycling socio-demographic and physical activity correlates differ by domain (commuting, leisure and errands). Better knowledge of relationships between domains should help to develop interventions focusing not only the right population, but also the right behavior.

Indexed as

Leisure ActivitiesBicyclingCross-Sectional StudiesExerciseFemaleFranceHumansLogistic ModelsMaleMiddle AgedProspective StudiesSelf ReportSurveys and QuestionnairesTransportationWalking

Identifiers

PMID26646510
PMCPMC4673722

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.