Time use clusters of New Zealand adolescents are associated with weight status, diet and ethnicity
Article first published online: 5 FEB 2013
© 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia
Australian and New Zealand Journal of Public Health
Volume 37, Issue 1, pages 39–46, February 2013
How to Cite
Ferrar, K., Olds, T., Maher, C. and Maddison, R. (2013), Time use clusters of New Zealand adolescents are associated with weight status, diet and ethnicity. Australian and New Zealand Journal of Public Health, 37: 39–46. doi: 10.1111/1753-6405.12008
- Issue published online: 5 FEB 2013
- Article first published online: 5 FEB 2013
- Submitted: March 2012 Revision requested: August 2012 Accepted: September 2012
- cluster analysis;
- socioeconomic factors;
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.