title: Patterns of time use among regional and rural adolescent girls: Associations with correlates of physical activity and health-related quality of life.
abstract: OBJECTIVE
  To describe patterns of time use among regional and rural adolescent girls and compare identified clusters with respect to correlates of physical activity (PA) and health-related quality of life (HRQoL).
  
  
  METHODS
  Cross-sectional PA and lifestyle survey.
  
  
  METHODS
  Data were from Year 7-9 adolescent girls (aged 12-15 years) from 16 schools involved in a cluster-randomised trial in regional and rural Victoria, Australia (n=494). Time use data were collected using 24-h Previous Day Physical Activity Recall (PDPAR-24) questionnaire, collapsed into 17 categories of time use. Differences between time use clusters with regard to demographics, correlates of PA and HRQoL measured using PedsQL 4.0 Generic Core Scales, were investigated.
  
  
  RESULTS
  Two time use clusters were identified and were associated with correlates of PA and HRQoL. Girls who spent significantly more time in teams sports, non-team sports, school classes, watching TV and sleeping had higher levels of positively aligned PA correlates (e.g. self-efficacy, perceived sports competence) and HRQoL than girls characterised with high levels of computer use and video gaming.
  
  
  CONCLUSIONS
  These findings highlight how different activity patterns of regional and rural girls affect HRQoL and can inform future intervention strategies to improve PA levels and HRQoL. Clusters characterised by low levels of PA and high computer use and video gaming require targeted interventions to address barriers to their participation.
authors.affiliation: School of Health Sciences and Psychology, Federation University Australia, Australia.
authors.forename: M
authors.initials: M
authors.lastname: Casey
authors.affiliation: School of Health Sciences and Psychology, Federation University Australia, Australia; Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Australia. Electronic address: j.harvey@federation.edu.au.
authors.forename: J
authors.initials: J
authors.lastname: Harvey
authors.affiliation: School of Health and Biomedical Sciences, RMIT University, Australia.
authors.forename: A
authors.initials: A
authors.lastname: Telford
authors.affiliation: School of Health Sciences and Psychology, Federation University Australia, Australia; Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Australia.
authors.forename: R
authors.initials: R
authors.lastname: Eime
authors.affiliation: School of Education, Faculty of Arts and Education, Deakin University, Australia.
authors.forename: A
authors.initials: A
authors.lastname: Mooney
authors.affiliation: Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, Australia.
authors.forename: W
authors.initials: W
authors.lastname: Payne
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior / Q000523:psychology; D002947:Cities; D003201:Computers / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D015444:Exercise; D005260:Female; D006801:Humans; D011788:Quality of Life; D012424:Rural Population; D013177:Sports / Q000706:statistics & numerical data; D013334:Students / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires; D013997:Time Factors; D014505:Urban Population; D018910:Video Games / Q000706:statistics & numerical data
keywords: Adolescent; Cluster analysis; Female; Health-related quality of life; Physical activity correlates; Time use