Evidence map›Paper›PMID 25885965›Full record

ArticleInternational journal of health geographics2015

Spatial heterogeneity of the relationships between environmental characteristics and active commuting: towards a locally varying social ecological model.

Thierry Feuillet, Hélène Charreire, Mehdi Menai, Paul Salze, Chantal Simon, Julien Dugas, Serge Hercberg, Valentina A Andreeva, Christophe Enaux, Christiane Weber and 1 more

Abstract read
In one paragraph

Article in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. WalkRollMap.org: Crowdsourcing barriers to mobility.Frontiers in rehabilitation sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Attributes of Perceived Bikeability in a Compact Urban Neighborhood Based on Qualitative Multi-Methods.International journal of environmental research and public health · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. The role of the natural and built environment in cycling duration in the Netherlands.The international journal of behavioral nutrition and physical activity · 2018
    Article
  16. Review
  17. Article
  18. Observational
  19. Article
  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

11 authors.

Thierry FeuilletUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. thier.feuillet@gmail.com.
Hélène CharreireUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. helene.charreire@u-pec.fr.
Mehdi MenaiUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. m.menai@uren.smbh.univ-paris13.fr.
Paul SalzeUniversity of Strasbourg, Laboratoire « Image Ville Environnement » UMR 7362 CNRS, Strasbourg, France. paul.salze@live-cnrs.unistra.fr.
Chantal SimonCARMEN, Institut National de la Santé et de la Recherche Médicale U1060, University of Lyon 1, Institut National de la Recherche Agronomique U1235, CRNH Rhône-Alpes, Lyon, France. paul.salze@live-cnrs.unistra.fr.
Julien DugasCARMEN, Institut National de la Santé et de la Recherche Médicale U1060, University of Lyon 1, Institut National de la Recherche Agronomique U1235, CRNH Rhône-Alpes, Lyon, France. julien.dugas@univ-lyon1.fr.
Serge HercbergUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. hercberg@uren.smbh.univ-paris13.fr.
Valentina A AndreevaUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. v.andreeva@uren.smbh.univ-paris13.fr.
Christophe EnauxUniversity of Strasbourg, Laboratoire « Image Ville Environnement » UMR 7362 CNRS, Strasbourg, France. christophe.enaux@live-cnrs.unistra.fr.
Christiane WeberUniversity of Strasbourg, Laboratoire « Image Ville Environnement » UMR 7362 CNRS, Strasbourg, France. christiane.weber@live-cnrs.unistra.fr.
Jean-Michel OppertUniversity of Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), UMR U1153 Inserm/U1125, Centre de Recherche en Epidémiologie et Biostatistiques Sorbonne, Paris Cité, Bobigny, France. jean-michel.oppert@psl.aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the social ecological model of health-related behaviors, it is now well accepted that environmental factors influence habitual physical activity. Most previous studies on physical activity determinants have assumed spatial homogeneity across the study area, i.e. that the association between the environment and physical activity is the same whatever the location. The main novelty of our study was to explore geographical variation in the relationships between active commuting (walking and cycling to/from work) and residential environmental characteristics.

methods4,164 adults from the ongoing Nutrinet-Santé web-cohort, residing in and around Paris, France, were studied using a geographically weighted Poisson regression (GWPR) model. Objective environmental variables, including both the built and the socio-economic characteristics around the place of residence of individuals, were assessed by GIS-based measures. Perceived environmental factors (index including safety, aesthetics, and pollution) were reported by questionnaires.

resultsOur results show that the influence of the overall neighborhood environment appeared to be more pronounced in the suburban southern part of the study area (Val-de-Marne) compared to Paris inner city, whereas more complex patterns were found elsewhere. Active commuting was positively associated with the built environment only in the southern and northeastern parts of the study area, whereas positive associations with the socio-economic environment were found only in some specific locations in the southern and northern parts of the study area. Similar local variations were observed for the perceived environmental variables.

conclusionsThese results suggest that: (i) when applied to active commuting, the social ecological conceptual framework should be locally nuanced, and (ii) local rather than global targeting of public health policies might be more efficient in promoting active commuting.

Indexed as

Environment DesignLocomotionTransportationAdolescentAdultFemaleGeographic Information SystemsHumansMaleMiddle AgedParisRegression AnalysisSocial EnvironmentSpatio-Temporal AnalysisSurveys and QuestionnairesYoung Adult

Identifiers

PMID25885965
PMCPMC4404073

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.