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Canadian Journal of Public Health

, Volume 107, Issue 1, pp e23–e29 | Cite as

Trajectories of objectively measured sedentary time among secondary students in Manitoba, Canada in the context of a province-wide physical education policy: A longitudinal analysis

  • Fei Zuo
  • Melisa Comte
  • Jannice So
  • Laura Rosella
  • Jonathan McGavock
  • Erin HobinEmail author
Quantitative Research

Abstract

OBJECTIVES: Canadian adolescents’ sedentary behaviour (SB) is poorly understood and greatly understudied compared to physical activity (PA). Accumulating evidence suggests that SB poses long-term health risks regardless of PA levels. To design effective interventions that target SB, it is critical to first understand adolescents’ sedentary time (ST) trajectories in a Canadian context. Therefore, we examined longitudinal trajectories of Manitoba students’ ST from 2008 to 2011 and identified associated factors in the context of a province-wide physical education (PE) policy.

METHODS: Secondary schools offering grades 9 through 12 were randomly selected in blocks to represent the urban and rural geography of Manitoba. In each selected school (n = 31), a convenience sample of grade 9 or 10 PE classes was recruited, leading to a final sample of 447 students. To assess ST, participants wore accelerometers on 7 consecutive days at baseline (2008) and during at least one follow-up period (2009, 2010 and 2011).

RESULTS: At baseline, students accumulated an average of 540 minutes/day of ST. Over the course of secondary school, students’ ST trajectories remained stable. Females compared to males had a slightly higher rate of decline in ST (p = 0.035), adjusting for socio-demographic variables. ST trajectories were not associated with baseline PA, body mass index and school neighbourhood socio-economic status.

CONCLUSION: Adolescent ST remained high throughout secondary school. SB may be well established by early adolescence and track through late adolescence. Our findings suggest the potential need for additional interventions to reduce SB before and over the course of secondary school.

Key Words

Sedentary time linear growth model longitudinal analysis 

Résumé

OBJECTIFS: Le comportement sédentaire (CS) des adolescents canadiens est mal compris et beaucoup moins étudié que leur activité physique (AP). Les données qui s’accumulent laissent croire que le CS pose des risques à long terme pour la santé, indépendamment des niveaux d’AP. Pour concevoir des interventions efficaces qui ciblent le CS, il est indispensable de comprendre d’abord les trajectoires du temps de sédentarité (TS) des adolescents dans un contexte canadien. C’est pourquoi nous avons examiné les trajectoires longitudinales du TS d’élèves du Manitoba de 2008 à 2011 et répertorié les facteurs associés dans le contexte d’une politique d’éducation physique (ÉP) provinciale.

MÉTHODE: Des écoles secondaires offrant des classes de la 9e à la 12e année ont été sélectionnées au hasard en blocs pour représenter la géographie urbaine et rurale du Manitoba. Dans chaque école sélectionnée (n = 31), nous avons recruté un échantillon de commodité de classes d’ÉP de 9e ou de 10e année, ce qui a donné un échantillon final de 447 élèves. Pour l’évaluation du TS, les participants ont porté des accéléromètres pendant 7 jours consécutifs au départ (2008) et durant au moins une période de suivi (2009, 2010 et 2011).

RÉSULTATS: Au départ, les élèves ont accumulé 480 minutes/jour de TS. Durant leurs études secondaires, les trajectoires du TS des élèves sont restées stables. Comparativement aux garçons, les filles ont affiché un taux de diminution du TS légèrement supérieur (p = 0,035), compte tenu des variables sociodémographiques. Les trajectoires du TS n’étaient pas associées à l’AP de départ, à l’indice de masse corporelle, ni au statut socioéconomique du quartier de l’école.

CONCLUSION: Le TS des adolescents est resté élevé durant toutes leurs études secondaires. Le CS pourrait être bien ancré dès le début de l’adolescence et se poursuivre jusqu’à la fin de l’adolescence. Nos constatations indiquent que des interventions supplémentaires pourraient être nécessaires pour réduire le CS avant et durant les études secondaires.

Mots Clés

temps de sédentarité modèle de croissance linéaire analyse longitudinale 

References

  1. 1.
    Tremblay M, Janssen I, Kho M, Duggan M, Kicks A, Leblanc A, et al. Canadian Sedentary Behaviour Guidelines for Children (Aged 5–11 Years) and Youth (Aged 12–17 Years): Clinical Practice Guideline Development Report 2011. Ottawa, ON: Canadian Society for Exercise Physiology, 2011.Google Scholar
  2. 2.
    Roberts K, Shields M, Groh MD, Aziz A, Gilbert J. Overweight and obesity in children and adolescents: Results from the 2009 to 2011 Canadian Health Measures Survey. Health Rep 2012;23(3):37–41. PMID: 23061263.PubMedPubMedCentralGoogle Scholar
  3. 3.
    Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act 2011;8:98. PMID: 21936895. doi: 10.1186/1479-5868-8-98.CrossRefGoogle Scholar
  4. 4.
    Statistics Canada. CANSIM Table 117–0020: Average Time Spent Sedentary, Household Population by Sex and Age Group (Minutes per Day), 2015. Available at: http://www5.statcan.gc.ca/cansim/a26?lang=eng&retrLang =eng&id=1170020&pattern=117-0018.117-0021&tabMode=dataTable&srchLan =-1&p1=-1&p2=31 (Accessed July 20, 2015).Google Scholar
  5. 5.
    Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, et al. Interindividual variation in posture allocation: Possible role in human obesity. Science 2005;307(5709):584–86. PMID: 15681386. doi: 10.1126/science. 1106561.CrossRefGoogle Scholar
  6. 6.
    Hu FB, Li TY, Colditz GA, Willet WC, Manson JE. Television watching and other sedentary behaviours in relation to risk of obesity and type 2 diabetes mellitus in women. JAm MedAssoc 2003;289(14):1785–91. PMID: 12684356. doi: 10.1001/jama.289.14.1785.CrossRefGoogle Scholar
  7. 7.
    Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB, et al. TV viewing and physical activity are independently associated with metabolic risk in children: The European Youth Heart Study. PLoS Med 2006;3(12):e488. PMID: 17194189. doi: 10.1371/journal.pmed.0030488.CrossRefGoogle Scholar
  8. 8.
    Ford ES, Kohl HWIII, Mokdad AH, Ajani UA. Sedentary behaviour, physical activity, and the metabolic syndrome among U.S. adults. Obes Res 2005; 13(3):608–14. PMID: 15833947. doi: 10.1038/oby.2005.65.CrossRefGoogle Scholar
  9. 9.
    Healy GN, Wijndaele K, Dunstan SW, Shaw JE, Salmon J, Zimmet PZ, et al. Objectively measured sedentary time, physical activity, and metabolic risk: The Australian Diabetes, Obesity and Lifestyle study (AusDiab). Diabetes Care 2008;31(2):369–71. PMID: 18000181. doi: 10.2337/dc07-1795.CrossRefGoogle Scholar
  10. 10.
    Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc 2009;41(5):998–1005. PMID: 19346988. doi: 10.1249/MSS.0b013e3 181930355.CrossRefGoogle Scholar
  11. 11.
    Steele RM, van Sluijs EM, Cassidy A, Griffin SJ, Ekelund U. Targeting sedentary time or moderate- and vigorous-intensity activity: Independent relations with adiposity in a population-based sample of 10-y-old British children. Am J Clin Nutr 2009;90(5):1185–92. PMID: 19776141. doi: 10.3945/ajcn.2009.28153.CrossRefGoogle Scholar
  12. 12.
    Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, et al. Television viewing time independently predicts all-cause and cardiovascular mortality: The EPIC Norfold study. Int JEpidemiol 2011;40(1):150–59. PMID: 20576628. doi: 10.1093/ije/dyq105.CrossRefGoogle Scholar
  13. 13.
    Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: The population-health science of sedentary behaviour. Exerc Sport Sci Rev 2010; 38(3):105–13. PMID: 20577058. doi: 10.1097/JES.0b013e3181e373a2.CrossRefGoogle Scholar
  14. 14.
    Prince SA, Saunders TJ, Gresty K, Reid RD. A comparison of the effectiveness of physical activity and sedentary behaviour interventions in reducing sedentary time in adults: A systematic review and meta-analysis of controlled trials. Obes Rev 2014;15(11):905–19. PMID: 25112481. doi: 10.1111/obr.12215.CrossRefGoogle Scholar
  15. 15.
    Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviours in the United States, 2003–2004. Am JEpidemiol 2008;167(7):875–81. PMID: 18303006. doi: 10.1093/aje/kwm390.CrossRefGoogle Scholar
  16. 16.
    Mitchell JA, Pate RR, Dowda M, Mattocks C, Riddoch C, Ness AR, et al. A prospective study of sedentary behaviour in a large cohort of youth. Med Sci Sports Exerc 2012;44(6):1081–87. PMID: 22143113. doi: 10.1249/MSS. 0b013e3182446c65.CrossRefGoogle Scholar
  17. 17.
    Statistics Canada. Physical Activity of Canadian Children and Youth: Accelerometer Results from the 2007 to 2009 Canadian Health Measures Survey, 2015. Available at: http://www.statcan.gc.ca/pub/82-003-x/2011001/article/11397-eng.htm (Accessed July 20, 2015).Google Scholar
  18. 18.
    Hobin E, So J, Rosella L, Comte M, Manske S, McGavock J. Trajectories of objectively measured physical activity among secondary students in Canada in the context of a province-wide physical education policy: A longitudinal analysis. J Obes 2014;2014:958645;1–10. PMID: 24672714. doi: 10.1155/2014/958645.CrossRefGoogle Scholar
  19. 19.
    Manitoba Education, Citizenship and Youth. Implementation of Grades 11 and 12 Physical Education/Health Education: A Policy Document, 2007. Available at: http://www.edu.gov.mb.ca/k12/docs/policy/imp_pehe/document.pdf (Accessed July 20, 2015).Google Scholar
  20. 20.
    Colley RC, Wong SL, Garriguet D, Janssen I, Gorber SC, Tremblay MS. Physical activity, sedentary behaviour and sleep in Canadian children: Parent-report versus direct measures and relative associations with health risk. Health Rep 2012;23(2):45–52. PMID: 22866540.PubMedGoogle Scholar
  21. 21.
    Institut national de santé publique du Québec. Deprivation Index, Québec, 2006. Available at: http://www2.inspq.qc.ca/santescope/indicedefavoeng. asp?NoIndD=4&Lg=en (Accessed July 20, 2015).Google Scholar
  22. 22.
    Statistics Canada. Population and Dwelling Counts, for Canada, Provinces and Territories by the Statistical Area Classification, 2006 and 2001 Censuses — 100% Data, 2010. Available at: http://www12.statcan.gc.ca/census-recensement/2006/dp-pd/hlt/97-550/Index.cfm?TPL=P1C&Page=RETR&LANG=Eng&T=601 &PR=46&S=0&O=D&RPP=25 (Accessed July 20, 2015).Google Scholar
  23. 23.
    Leatherdale ST, Ahmed R. Screen-based sedentary behaviours among a nationally representative sample of youth: Are Canadian kids couch potatoes? Chronic Dis Inj Can 2011;31(4):141–46. PMID: 21978636.PubMedGoogle Scholar
  24. 24.
    Ortega FB, Konstabel K, Pasquali E, Ruiz JR, Hurtig-Wennlöf A, Mäestu J, et al. Objectively measured physical activity and sedentary time during childhood, adolescence and young adulthood: A cohort study. PLoS One 2013;8(4): e60871. PMID: 23637772. doi: 10.1371/journal.pone.0060871.CrossRefGoogle Scholar
  25. 25.
    Treuth MS, Hou N, Young DR, Maynard LM. Accelerometry-measured activity or sedentary time and overweight in rural boys and girls. Obes Res 2005; 13(9):1606–14. PMID: 16222064. doi: 10.1038/oby.2005.197.CrossRefGoogle Scholar
  26. 26.
    Janz KF, Burns TL, Levy SM, Iowa Bone Development Study. Tracking of activity and sedentary behaviours in childhood: The Iowa Bone Development Study. Am J Prev Med 2005;29(3):171–78. PMID: 16168865. doi: 10.1016/j. amepre.2005.06.001.CrossRefGoogle Scholar
  27. 27.
    Pate RR, Stevens J, Pratt C, Sallis JF, Schmitz KH, Webber LS, et al. Objectively measured physical activity in sixth-grade girls. Arch Pediatr Adolesc Med 2006;160(12):1262–68. PMID: 17146024. doi: 10.1001/archpedi.160.12.1262.CrossRefGoogle Scholar
  28. 28.
    Dunn JE, Liu K, Greenland P, Hilner JE, Jacobs DRJr. Seven-year tracking of dietary factors in young adults: The CARDIA study. Am J Prev Med 2000; 18(1):38–45. PMID: 10808981. doi: 10.1016/S0749-3797(99)00114-2.CrossRefGoogle Scholar
  29. 29.
    Hills AP, King NA, Armstrong TP. The contribution of physical activity and sedentary behaviours to the growth and development of children and adolescents. Sports Med 2007;37(6):533–45. PMID: 17503878. doi: 10.2165/00007256-200737060-00006.CrossRefGoogle Scholar
  30. 30.
    Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, et al. Television viewing time and mortality. The Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation 2010;121(3):384–91. PMID: 20065160. doi: 10. 1161/CIRCULATIONAHA.109.894824.CrossRefGoogle Scholar

Copyright information

© The Canadian Public Health Association 2016

Authors and Affiliations

  • Fei Zuo
    • 1
  • Melisa Comte
    • 2
  • Jannice So
    • 3
  • Laura Rosella
    • 3
  • Jonathan McGavock
    • 2
  • Erin Hobin
    • 1
    • 3
    • 4
    Email author
  1. 1.Public Health OntarioTorontoCanada
  2. 2.Manitoba Institute of Child Health, Department of Paediatrics and Child Health, Faculty of MedicineUniversity of ManitobaWinnipegCanada
  3. 3.Dalla Lana School of Public HealthUniversity of TorontoTorontoCanada
  4. 4.School of Public Health and Health SystemsUniversity of WaterlooWaterlooCanada

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