Advertisement

Patterns of Sedentary Behaviour and Physical Activity Among Adolescents in the United Kingdom: Project STIL

  • Trish Gorely
  • Simon J. Marshall
  • Stuart J. H. Biddle
  • Noel Cameron
Article

Abstract

The purpose of this study was to use ecological momentary assessment to investigate the patterning of physical activity and sedentary behaviours in UK adolescents and to examine if different lifestyle groups differ on key explanatory variables. A total of 1,371 (38% boys, mean age 14.7 years) adolescents completed diaries every 15 min for 3 weekdays outside of school hours and 1 weekend day. Cluster analysis yielded five-cluster solutions for both boys and girls to explain the grouping of sedentary behaviours and physical activity. The clusters demonstrated that adolescents engage in many leisure time behaviours but have one activity that predominates. Active adolescents spend more time outside and more time with their friends. Few demographic and environmental variables distinguished between clusters. The findings suggest a potential need for different behavioural targets in interventions to reduce sedentary behaviour in sub groups of the adolescent population. Further research is required to examine the modifiable determinants of different sedentary lifestyles among young people.

Keywords

Ecological momentary assessment Youth Sedentary behaviour Physical activity 

References

  1. American Academy of Pediatrics (2001). Policy statement: Children, adolescents and television (RE0043). Pediatrics, 107(2), 423–426.CrossRefGoogle Scholar
  2. Baranowski, T. (1985). Methodologic issues in self-report of health behavior. Journal of School Health, 55(5), 179–182.PubMedCrossRefGoogle Scholar
  3. Department for Education and Skills (2004). Statistics of education: Schools in England 2004 edition. Retrieved 26 July 2005 from http://www.dfes.gov.uk/rsgateway/DB/VOL/v000495/schools_04_final.pdf
  4. Department of Health (2004). At least five a week: Evidence of the impact of physical activity and its relationship to health. A report from the Chief Medical Officer. Retrieved from http://www.dh.gov.uk/PublicationsAndStatistics/Publications/PublicationsLibrary/fs/en
  5. Department of Health and Ageing (2005). Australia’s physical activity recommendations for children and young people. Retrieved 19 September 2006 from http://www.health.gov.au
  6. Dunton, G., Whalen, C., Jamner, L., Henker, B., & Floro, J. (2005). Using ecologic momentary assessment to measure physical activity during adolescence. American Journal of Preventive Medicine, 29(4), 281–287.PubMedCrossRefGoogle Scholar
  7. Epstein, L. H., & Roemmich, J. N. (2001). Reducing sedentary behaviour: Role in modifying physical activity. Exercise and Sport Sciences Reviews, 29, 103–108.PubMedCrossRefGoogle Scholar
  8. Field A. (2005). Discovering statistics using SPSS (2nd edn.). London: Sage.Google Scholar
  9. Gordon-Larsen, P., McMurray, R. G., & Popkin, B. M. (2000). Determinants of adolescent physical activity and inactivity patterns. Pediatrics, 105, 1–8.CrossRefGoogle Scholar
  10. Gorely, T., Marshall, S., & Biddle, S. (2004). Correlates of TV viewing in adolescents. International Journal of Behavioural Medicine, 11, 152–163.CrossRefGoogle Scholar
  11. Gorely, T., Marshall, S., Biddle, S., & Cameron, N. (in press). The prevalence of leisure time sedentary behaviour and physical activity in adolescent girls: An ecological momentary assessment approach. International Journal of Pediatric Obesity.Google Scholar
  12. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th edn.). Upper Saddle River, NJ: Pearson Prentice Hall.Google Scholar
  13. Heath, E., Coleman, K., Lensegrav, T., & Fallon, J. (2006). Using momentary time sampling to estimate minutes of physical activity in physical education: Validation of scores for the system for observing fitness instruction time. Research Quarterly for Exercise and Sport, 77(1), 142–146.PubMedGoogle Scholar
  14. Henning Broderson, N., Steptoe, A., Williamson, S., & Wardle, J. (2005). Sociodemographic, developmental, environmental, and psychosocial correlates of physical activity and sedentary behavior at age 11 to 12. Annals of Behavioral Medicine, 29(1), 2–11.CrossRefGoogle Scholar
  15. Marshall, S. J., Biddle, S. J. H., Sallis, J. F., McKenzie, T. L., & Conway, T. L. (2002). Clustering of sedentary behaviours and physical activity among youth: A cross-national study. Pediatric Exercise Science, 14, 401–417.Google Scholar
  16. Marshall, S., Gorely, T., & Biddle, S. (2006). A descriptive epidemiology of screen based media use among youth: A review and critique. Journal of Adolescence, 29, 333–349.PubMedCrossRefGoogle Scholar
  17. Murray, D., Catellier, D., Hannan, P., Treuth, M., Stevens, J., Schmitz, K., Rice, J., & Conway, T. (2004). School-level intraclass correlation for physical activity in adolescent girls. Medicine and Science in Sports and Exercise, 36(5), 876–882.PubMedGoogle Scholar
  18. Nelson, M., Gordon-Larsen, P., Adair, L., & Popkin, B. M. (2005). Adolescent physical activity and sedentary behavior: Patterning and long-term maintenance. American Journal of Preventive Medicine, 28(3), 259–266.PubMedCrossRefGoogle Scholar
  19. Sallis, J., & Owen, N. (2002). Ecological models of health behavior. In K. Glanz, B. Rimer, & F. Marcus Lewis (Eds.), Health behavior and health education (pp. 462–484). Jossey-Bass: San Francisco.Google Scholar
  20. Sallis, J., Prochaska, J., & Taylor, W. (2000). A review of correlates of physical activity of children and adolescents. Medicine and Science in Sports and Exercise, 32, 963–975.PubMedGoogle Scholar
  21. Saudargas, R. A., & Zanolli, K. (1990). Momentary time sampling as an estimate of percentage time: A field validation. Journal of Applied Behavior Analysis, 23, 533–537.PubMedCrossRefGoogle Scholar
  22. Schmitz, K. H., Lytle, L. A., Phillips, G. A., Murray, D. M., Birnbaum, A. S., & Kubik, M. Y. (2002). Psychosocial correlates of physical activity and sedentary leisure habits in young adolescents: The teens eating for energy at school study. Preventive Medicine, 34(2), 266–278.PubMedCrossRefGoogle Scholar
  23. Smyth, J., & Stone, A. (2003). Ecological momentary assessment research in behavioral medicine. Journal of Happiness Studies, 4, 35–52.CrossRefGoogle Scholar
  24. Stone, A., & Shiffman, S. (2002). Capturing self-report data: A proposal for reporting guidelines. Annals of Behavioral Medicine, 24(3), 236–243.PubMedCrossRefGoogle Scholar
  25. Summerbell, C. D., Ashton, V., Campbell, K. J., Edmunds, L., Kelly, S., & Waters, E. (2004). Interventions for treating obesity in children (Cochrane Review). Chichester: John Wiley.Google Scholar
  26. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th edn.). Boston, MA: Pearson Allyn & Bacon.Google Scholar
  27. Welk, G., Corbin, C., & Dale, D. (2000). Measurement issues in the assessment of physical activity in children. Research Quarterly for Exercise and Sport, 71(2), 59–73.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Trish Gorely
    • 1
  • Simon J. Marshall
    • 2
  • Stuart J. H. Biddle
    • 1
  • Noel Cameron
    • 1
  1. 1.British Heart Foundation National Centre for Physical Activity and Health, School of Sport & Exercise SciencesLoughborough UniversityLoughborough, LeicsUK
  2. 2.San Diego State UniversitySan DiegoUSA

Personalised recommendations