Time use clusters of New Zealand adolescents are associated with weight status, diet and ethnicity

Aust N Z J Public Health. 2013 Feb;37(1):39-46. doi: 10.1111/1753-6405.12008.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior / ethnology*
  • Analysis of Variance
  • Body Mass Index
  • Body Weight / ethnology*
  • Child
  • Cluster Analysis
  • Cross-Sectional Studies
  • Diet / ethnology*
  • Diet / statistics & numerical data
  • Exercise
  • Feeding Behavior
  • Female
  • Health Behavior
  • Humans
  • Interviews as Topic
  • Life Style*
  • Male
  • New Zealand / epidemiology
  • Sex Distribution
  • Socioeconomic Factors
  • Zeit