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.
Highlights
Physical inactivity is recognized as one of the main modifiable lifestyle risk factors for noncommunicable diseases such as cardiovascular disease, diabetes, and certain cancers [1, 2]
Promoting active transportation appears as a relevant lever to increase usual physical activity (PA) at population level for several reasons: (1) active transportation has been associated with a higher level of daily total PA in crosssectional and longitudinal studies [6,7,8]; (2) active transportation is an affordable, convenient, simple, and nonpolluting activity that can be integrated into everydaylife routines
This study is part of the ACTI-Cites project [21] based on the Nutrinet-Sante Cohort Study, a webbased cohort launched in France in 2009 to evaluate the relationships between nutrition and health [22]
Summary
Physical inactivity is recognized as one of the main modifiable lifestyle risk factors for noncommunicable diseases such as cardiovascular disease, diabetes, and certain cancers [1, 2]. High levels of sedentary behavior such as prolonged sitting time have been associated with a deleterious health profile and mortality [4]. As demonstrated in a meta-analysis including more than 1 million individuals, jointly examining PA and sedentary behavior (SB) is of the upmost importance as high levels of PA may attenuate the detrimental health impact. BioMed Research International of prolonged sitting time [5]. This demonstrates the ongoing need for an integrated approach to movementrelated behaviors including both PA and SB. Designing effective PA interventions requires prior knowledge of the correlates (individual, environmental, and social) of usual PA [9]
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