Evidence map›Paper›PMID 28717653›Full record

ArticleBioMed research international2017

Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women.

Camille Perchoux, Christophe Enaux, Jean-Michel Oppert, Mehdi Menai, Hélène Charreire, Paul Salze, Christiane Weber, Serge Hercberg, Thierry Feuillet, Franck Hess and 3 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. 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

13 authors at 3 institutions in 2 countries.

Camille PerchouxCRNH-Rhône-Alpes, CARMEN, INSERM U1060, Université de Lyon 1, INRA U1235, Lyon, France.
Christophe EnauxLaboratoire, Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France.
Jean-Michel OppertEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Mehdi MenaiEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Hélène CharreireEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Paul SalzeLaboratoire, Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France.
Christiane WeberLaboratoire, Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France.
Serge HercbergEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Thierry FeuilletEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Franck HessLaboratoire, Image, Ville et Environnement, Université de Strasbourg, Strasbourg, France.
Célina RodaEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Biostatistiques, INSERM U1153, INRA U1125, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.
Chantal SimonCRNH-Rhône-Alpes, CARMEN, INSERM U1060, Université de Lyon 1, INRA U1235, Lyon, France.
Julie-Anne NazareCRNH-Rhône-Alpes, CARMEN, INSERM U1060, Université de Lyon 1, INRA U1235, Lyon, France.ORCID 0000-0003-3545-3264
Inserm · FRLaboratoire Image, Ville, Environnement · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objectives were (1) to define physical activity (PA) and sedentary behaviors (SB) patterns in daily life contexts (work, leisure, and transportation) in French working women from NutriNet-Santé web-cohort and (2) to identify pattern(s) of active transportation and their individual, social, and environmental correlates. 23,432 participants completed two questionnaires to evaluate PA and SB in daily life contexts and individual representations of residential neighborhood and transportation modes. Hierarchical cluster analysis was performed which identified 6 distinct movement behavior patterns: (i) active occupation, high sedentary leisure, (ii) sedentary occupation, low leisure, (iii) sedentary transportation, (iv) sedentary occupation and leisure, (v) active transportation, and (vi) active leisure. Multinomial logistic regressions were performed to identify correlates of the "active transportation" cluster. The perceived environmental characteristics positively associated with "active transportation" included "high availability of destinations around home," "presence of bicycle paths," and "low traffic." A "positive image of walking/cycling," the "individual feeling of being physically active," and a "high use of active transport modes by relatives/friends" were positively related to "active transportation," identified as a unique pattern regarding individual and environmental correlates. Identification of PA and SB context-specific patterns will help to understand movement behaviors' complexity and to design interventions to promote active transportation in specific subgroups.

Indexed as

Socioeconomic FactorsTransportationAdultEnvironmentExerciseFemaleFranceHumansLeisure ActivitiesMovementSedentary Behavior

Identifiers

PMID28717653
PMCPMC5498903
OpenAlexW2695997306

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.