TY - JOUR
T1 - Sports participation in youth as a predictor of physical activity
T2 - A 5-year longitudinal study
AU - Hardie Murphy, Michelle
AU - Rowe, David Anthony
AU - Woods, Catherine B.
N1 - Publisher Copyright:
© 2016 Human Kinetics, Inc.
PY - 2016/7
Y1 - 2016/7
N2 - Background: The contribution of sports related factors to predicting long-term physical activity (PA) are unclear. The purpose of this study is to examine tracking of PA during key transition periods in youth and to determine the longitudinal associations between sports club participation and PA. Methods: Participants (n = 873, baseline age 10 to 18 years) completed self-report surveys in 2009 and 2014 that included the PACE+ PA tool and sports club participation questions. Spearman correlations assessed PA tracking. ANCOVA analyses examined predictors (sports participation at baseline) of PA (follow-up), adjusting for (a) age and sex; and (b) age, sex, and baseline PA. Results: Tracking of PA was weak-to-moderate (ρ = .16 to .47). Greater sports participation frequency at baseline significantly predicted PA at follow-up (P < .01). Involvement in club sports at an elite level had a medium-to-large effect on PA levels 5 years later [d = .75 adjusting for (a); d = .60 adjusting for (b)]. Conclusion: PA should be promoted in youth as tracking coefficients suggest it can, to an extent, continue into later life. The standard achieved in sport has a role in predicting later PA. PA promotion strategies should include frequent, high quality opportunities for sports participation.
AB - Background: The contribution of sports related factors to predicting long-term physical activity (PA) are unclear. The purpose of this study is to examine tracking of PA during key transition periods in youth and to determine the longitudinal associations between sports club participation and PA. Methods: Participants (n = 873, baseline age 10 to 18 years) completed self-report surveys in 2009 and 2014 that included the PACE+ PA tool and sports club participation questions. Spearman correlations assessed PA tracking. ANCOVA analyses examined predictors (sports participation at baseline) of PA (follow-up), adjusting for (a) age and sex; and (b) age, sex, and baseline PA. Results: Tracking of PA was weak-to-moderate (ρ = .16 to .47). Greater sports participation frequency at baseline significantly predicted PA at follow-up (P < .01). Involvement in club sports at an elite level had a medium-to-large effect on PA levels 5 years later [d = .75 adjusting for (a); d = .60 adjusting for (b)]. Conclusion: PA should be promoted in youth as tracking coefficients suggest it can, to an extent, continue into later life. The standard achieved in sport has a role in predicting later PA. PA promotion strategies should include frequent, high quality opportunities for sports participation.
KW - Adolescence
KW - Cohort
KW - Follow-up study
KW - Sports club
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=84984701756&partnerID=8YFLogxK
U2 - 10.1123/jpah.2015-0526
DO - 10.1123/jpah.2015-0526
M3 - Article
C2 - 26800567
AN - SCOPUS:84984701756
SN - 1543-3080
VL - 13
SP - 704
EP - 711
JO - Journal of Physical Activity and Health
JF - Journal of Physical Activity and Health
IS - 7
ER -