Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 30 05 2021
accepted: 26 01 2022
entrez: 23 2 2022
pubmed: 24 2 2022
medline: 11 3 2022
Statut: epublish

Résumé

Evidence suggests that the built environment can influence the intensity of physical activity. However, despite the importance of the geographic context, most of the studies do not consider the spatial framework of this association. We aimed to assess individual spatial dependence of objectively measured moderate and vigorous physical activity (MVPA) and describe the characteristics of the built environment among spatial clusters of MVPA. Cross-sectional data from the second follow-up (2014-2017) of CoLaus|PsyCoLaus, a longitudinal population-based study of the Lausanne area (Switzerland), was used to objectively measure MVPA using accelerometers. Local Moran's I was used to assess the spatial dependence of MVPA and detect geographic clusters of low and high MVPA. Additionally, the characteristics of the built environment observed in the clusters based on raw MVPA and MVPA adjusted for socioeconomic and demographic factors were compared. Data from 1,889 participants (median age 63, 55% women) were used. The geographic distribution of MVPA and the characteristics of the built environment among clusters were similar for raw and adjusted MVPA. In the adjusted model, we found a low concentration of individuals within spatial clusters of high MVPA (median: 38.5mins; 3% of the studied population) and low MVPA (median: 10.9 mins; 2% of the studied population). Yet, clear differences were found in both models between clusters regarding the built environment; high MVPA clusters were located in areas where specific compositions of the built environment favor physical activity. Our results suggest the built environment may influence local spatial patterns of MVPA independently of socioeconomic and demographic factors. Interventions in the built environment should be considered to promote physically active behaviors in urban areas.

Identifiants

pubmed: 35196322
doi: 10.1371/journal.pone.0252255
pii: PONE-D-21-17841
pmc: PMC8865698
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0252255

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Juan R Vallarta-Robledo (JR)

Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.

Stéphane Joost (S)

Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.
Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
La Source, School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland.

Marco André Vieira Ruas (MA)

Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Cédric Gubelmann (C)

Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.

Peter Vollenweider (P)

Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.

Pedro Marques-Vidal (P)

Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.
Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.

Idris Guessous (I)

Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.

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