title: More than just physical activity: time use clusters and profiles of Australian youth.
abstract: OBJECTIVE
  To describe time use clusters and correlate-cluster profiles of Australian youth.
  
  
  METHODS
  Secondary analysis of cross-sectional national survey.
  
  
  METHODS
  Data were from the National Children's Nutrition and Physical Activity Survey, a random sample (n=1853) of 9-16 years old Australians (February-August 2007). 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, health and dietary variables were analysed.
  
  
  RESULTS
  For boys (n=930), the Social tasker cluster was characterised by social interaction and chores & work, the Techno-active cluster by team sport and TV and the Techno-studious cluster by video games and study. Average daily pedometer steps, age and remoteness were significant cluster correlates. For the girls (n=923), the Social screenie cluster was characterised by TV and social interaction, the Quiet actives cluster by quiet time and non-team sport and the Techno-studious cluster by video games and study. Pedometer steps, age, parental income and education, parent-child age difference, "extra foods", fat and fruit intakes were significant correlates.
  
  
  CONCLUSIONS
  Distinct sex-specific time use clusters and profiles exist among Australian youth. These findings may assist the development of targeted time use interventions to improve health and well-being.
authors.affiliation: Health and Use of Time Group, School of Health Sciences, University of South Australia, Australia. Katia.Ferrar@mymail.unisa.edu.au
authors.forename: Katia
authors.initials: K
authors.lastname: Ferrar
authors.forename: Tim
authors.initials: T
authors.lastname: Olds
authors.forename: Carol
authors.initials: C
authors.lastname: Maher
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior; D001315:Australia; D002648:Child; D002652:Child Behavior; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D015444:Exercise; D005260:Female; D006801:Humans; D008297:Male; D012959:Socioeconomic Factors; D013997:Time Factors