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Do associations of sex, age and education with transport and leisure-time physical activity differ across 17 cities in 12 countries?

J. Mitáš, E. Cerin, RS. Reis, TL. Conway, KL. Cain, MA. Adams, G. Schofield, OL. Sarmiento, LB. Christiansen, R. Davey, D. Salvo, R. Orzanco-Garralda, D. Macfarlane, AAF. Hino, I. De Bourdeaudhuij, N. Owen, D. Van Dyck, JF. Sallis,

. 2019 ; 16 (1) : 121. [pub] 20191203

Jazyk angličtina Země Velká Británie

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20005645

Grantová podpora
R01 CA127296 NCI NIH HHS - United States

BACKGROUND: Leisure-time and transport activity domains are studied most often because they are considered more amenable to intervention, but to date evidence on these domains is limited. The aim of the present study was to examine patterns of socio-demographic correlates of adults' leisure-time and transport physical activity and how these associations varied across 17 cities in 12 countries. METHODS: Participants (N = 13,745) aged 18-66 years in the IPEN Adult study and with complete data on socio-demographic and self-reported physical activity characteristics were included. Participants reported frequency and duration of leisure-time and transport activities in the last 7 days using the self-administered International Physical Activity Questionnaire-Long Form. Six physical activity outcomes were examined in relation with age, education, and sex, and analyses explored variations by city and curvilinear associations. RESULTS: Sex had the most consistent results, with five of six physical activity outcomes showing females were less active than males. Age had the most complex associations with self-report transport and leisure-time physical activity. Compared to older people, younger adults were less likely to engage in transport physical activity, but among those who did, younger people were likely to engage in more active minutes. Curvilinear associations were found between age and all three leisure-time physical activity outcomes, with the youngest and the oldest being more active. Positive associations with education were found for leisure-time physical activity only. There were significant interactions of city with sex and education for multiple physical activity outcomes. CONCLUSIONS: Although socio-demographic correlates of physical activity are widely studied, the present results provide new information. City-specific findings suggest there will be value in conducting more detailed case studies. The curvilinear associations of age with leisure-time physical activity as well as significant interactions of leisure-time activity with sex and education should be further investigated. The findings of lower leisure-time physical activity among females as well as people with low education suggest that greater and continued efforts in physical activity policies and programs tailored to these high-risk groups are needed internationally.

Baker Heart and Diabetes Institute Melbourne Australia Swinburne University of Technology Melbourne Australia

Centre for Sports and Exercise University of Hong Kong Pok Fu Lam Hong Kong

Department of Family Medicine and Public Health University of California San Diego La Jolla CA USA

Department of Movement and Sport Sciences Faculty of Medicine and Health Sciences Ghent University Gent Belgium

Department of Movement and Sport Sciences Faculty of Medicine and Health Sciences Ghent University Gent Belgium Research Foundation Flanders Brussels Belgium

Department of Sports Science and Clinical Biomechanics University of Southern Denmark Odense Denmark

Faculty of Health and Environmental Sciences AUT University Auckland New Zealand

Global Institute of Sustainability College of Health Solutions Arizona State University Phoenix AZ USA

Health Research Unit University of Canberra Canberra Australia

Health Technology Graduate Program Pontifical Catholic University of Parana Curitiba Brazil

Institute of Active Lifestyle Faculty of Physical Culture Palacký University Olomouc Czech Republic

Mary Mackillop Institute for Health Research Australian Catholic University Melbourne Victoria Australia Department of Family Medicine and Public Health University of California San Diego La Jolla CA USA

Mary Mackillop Institute for Health Research Australian Catholic University Melbourne Victoria Australia School of Public Health The University of Hong Kong Pok Fu Lam Hong Kong China

Prevention Research Center Brown School Washington University in St Louis Saint Louis MO USA

Prevention Research Center Brown School Washington University in St Louis Saint Louis MO USA Urban Management Graduate Program Pontifical Catholic University of Parana Curitiba Brazil

School of Medicine Universidad de los Andes Bogotá Colombia

University Public of Navarra Pamplona Spain

Citace poskytuje Crossref.org

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