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

Overview of attention for article published in International Journal of Health Geographics, March 2015
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Title
Spatial heterogeneity of the relationships between environmental characteristics and active commuting: towards a locally varying social ecological model
Published in
International Journal of Health Geographics, March 2015
DOI 10.1186/s12942-015-0002-z
Pubmed ID
Authors

Thierry Feuillet, Hélène Charreire, Mehdi Menai, Paul Salze, Chantal Simon, Julien Dugas, Serge Hercberg, Valentina A Andreeva, Christophe Enaux, Christiane Weber, Jean-Michel Oppert

Abstract

According 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. 4,164 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. Our 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. These 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Brazil 1 <1%
Unknown 170 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 21%
Student > Ph. D. Student 25 14%
Researcher 23 13%
Unspecified 10 6%
Student > Doctoral Student 10 6%
Other 27 16%
Unknown 42 24%
Readers by discipline Count As %
Social Sciences 37 21%
Medicine and Dentistry 12 7%
Unspecified 10 6%
Sports and Recreations 8 5%
Engineering 8 5%
Other 35 20%
Unknown 63 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from International Journal of Health Geographics
#513
of 627 outputs
Outputs of similar age
#192,622
of 263,387 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 7 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,387 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.