• Open Access

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

Authors

  • Katia Ferrar,

    1. Health and Use of Time Group, School of Health Sciences, University of South Australia; Sansom Institute for Health Research, University of South Australia
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  • Tim Olds,

    1. Health and Use of Time Group, School of Health Sciences, University of South Australia; Sansom Institute for Health Research, University of South Australia
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  • Carol Maher,

    1. Health and Use of Time Group, School of Health Sciences, University of South Australia; Sansom Institute for Health Research, University of South Australia
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  • Ralph Maddison

    1. National Institute for Health Innovation, The University of Auckland, New Zealand
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Correspondence: Katia Ferrar, Health and Use of Time Group, School of Health Sciences, University of South Australia, Centenary Building, Room C7-42, City East Campus, North Terrace, Adelaide SA 5000; e-mail: 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.

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