title: Associations of physical activity and screen-time on health related quality of life in adults.
abstract: BACKGROUND
  Associations between the combined effect of physical activity and screen based activities on health related quality of life remain largely undetermined.
  
  
  METHODS
  During 2008-2010, cross-sectional data for self-reported health related quality of life, physical activity, and screen-time were collected for 3796 Australian adults. Logistic regression was conducted to examine associations for six combinations of physical activity (none, insufficient, and sufficient), and screen-time (low and high) on health related quality of life.
  
  
  RESULTS
  In comparison to the reference category (sufficient physical activity and low screen-time) men and women who reported no physical activity and either high (OR=4.52, 95% CI 2.82-7.25) or low (OR=2.29, 95% CI 1.37-3.80) screen-time, were significantly more likely to report over 14 unhealthy days. Men reporting either; no physical activity and high (OR=3.15, 95% CI 1.92-5.15), or low (OR=2.17, 95% CI 1.30-3.63) screen-time; insufficient physical activity and high (OR=1.68, 95% CI 1.08-2.60), or low (OR=1.79, 95% CI 1.14-2.82) screen-time were more likely to rate their health as poor or fair. In women this was significant for those who reported no physical activity and high screen-time (OR=1.98, 95% CI, 1.19-3.31).
  
  
  CONCLUSIONS
  Results suggest that the combination of no physical activity and high screen-time demonstrated the greatest negative impact on health related quality of life.
authors.affiliation: Centre for Physical Activity Studies, Institute for Health and Social Science Research, CQUniversity Australia, Rockhampton, Queensland, Australia. cally1@ualberta.ca
authors.forename: Cally A
authors.initials: CA
authors.lastname: Davies
authors.forename: Corneel
authors.initials: C
authors.lastname: Vandelanotte
authors.forename: Mitch J
authors.initials: MJ
authors.lastname: Duncan
authors.forename: Jannique G Z
authors.initials: JG
authors.lastname: van Uffelen
mesh_terms: D000293:Adolescent; D000328:Adult; D001315:Australia / Q000453:epidemiology; D015992:Body Mass Index; D002908:Chronic Disease / Q000453:epidemiology* / Q000517:prevention & control; D003430:Cross-Sectional Studies; D015444:Exercise / Q000523:psychology*; D005260:Female; D006801:Humans; D007899:Leisure Activities / Q000523:psychology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011788:Quality of Life / Q000523:psychology*; D012307:Risk Factors; D057185:Sedentary Behavior; D057566:Self Report; D012907:Smoking / Q000453:epidemiology*; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D013690:Television / Q000706:statistics & numerical data*; D013997:Time Factors