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2017
- ISIDORE Id: 10670/1.de21a6...
- hal: hal-01556508
- doi: 10.1155/2017/9069730
- PRODINRA: 408515
- WOS: 000403935400001
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info:eu-repo/semantics/altIdentifier/doi/10.1155/2017/9069730
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
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Transportation industry Transport Transportation companies Transportation--Economic aspects Transportation, Primitive Public transportationCiter ce document
Camille Perchoux et al., « Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1155/2017/9069730
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Résumé
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.
