Katia Ferrar1, Tim Olds, Carol Maher, Ralph Maddison. 1. Health and Use of Time Group, School of Health Sciences, University of South Australia, Adelaide SA 5000. ferke001@mymail.unisa.edu.au
Abstract
OBJECTIVE: To describe New Zealand adolescent time use clusters and correlate cluster profiles. METHODS: Data were from the cross-sectional 2008/2009 National Survey of Children and Young People's Physical Activity and Dietary Behaviours, which surveyed a random sample of 10-16 year-old New Zealanders (study subset n=679). Time use data were collected using the Multimedia Activity Recall for Children and Adults, and collapsed into 17 age-adjusted variables for sex-specific cluster analysis. Cluster associations with socio-demographic, anthropometric, physical activity and dietary variables were analysed. RESULTS: Three time use clusters were discovered for both boys and girls. For boys, the Techno-active cluster was characterised by high levels of team sports and TV; the Quiet movers cluster by transport (active and passive) and quiet time; and the Social studious cluster by reading, study activities and social interaction. The boys' clusters were associated with ethnicity. The girls'Social sporty cluster was characterised by sports and social interaction; the Screenie tasker cluster by TV, computer, chores and work; and the Super studious cluster by reading, study and school-based activities. The girls' time use cluster membership was associated with weight status and serves of extra foods. CONCLUSIONS: Distinct sex-specific time use clusters and correlate profiles exist among NZ adolescents. IMPLICATIONS: These findings may assist the development of targeted time use interventions to improve adolescent health and well-being.
OBJECTIVE: To describe New Zealand adolescent time use clusters and correlate cluster profiles. METHODS: Data were from the cross-sectional 2008/2009 National Survey of Children and Young People's Physical Activity and Dietary Behaviours, which surveyed a random sample of 10-16 year-old New Zealanders (study subset n=679). Time use data were collected using the Multimedia Activity Recall for Children and Adults, and collapsed into 17 age-adjusted variables for sex-specific cluster analysis. Cluster associations with socio-demographic, anthropometric, physical activity and dietary variables were analysed. RESULTS: Three time use clusters were discovered for both boys and girls. For boys, the Techno-active cluster was characterised by high levels of team sports and TV; the Quiet movers cluster by transport (active and passive) and quiet time; and the Social studious cluster by reading, study activities and social interaction. The boys' clusters were associated with ethnicity. The girls'Social sporty cluster was characterised by sports and social interaction; the Screenie tasker cluster by TV, computer, chores and work; and the Super studious cluster by reading, study and school-based activities. The girls' time use cluster membership was associated with weight status and serves of extra foods. CONCLUSIONS: Distinct sex-specific time use clusters and correlate profiles exist among NZ adolescents. IMPLICATIONS: These findings may assist the development of targeted time use interventions to improve adolescent health and well-being.
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