Départment de médecine de famille et médecine d'urgence, Université de Sherbrooke, Sherbrooke, QC, Canada.
Centre de formation medicale du Nouveau-Brunswick, Moncton, NB, Canada.
J Sports Sci. 2022 Aug;40(16):1824-1836. doi: 10.1080/02640414.2022.2115223. Epub 2022 Sep 1.
Few studies describe sport participation profiles in the general population using multiple characteristics. Therefore, the objective of this study was to identify sport participation profiles during adolescence and to describe transitions across profiles from grades 5 to 12 (age 10 to 18 years). We used data from 916 participants (55% girls; age 10-12 years at inception) of the Monitoring Activities of Teenagers to Comprehend their Habits (MATCH) study. Participants self-reported involvement in 36 organized and unorganized physical activities three times/year from grades 5 to 12 (24 data collection cycles; 2011-2018). At each school grade, we derived four categorical variables of sport involvement: number of organized sports, number of unorganized activities, weekly sessions, and number of year-round activities. To identify sport participation profiles, we used latent class analysis at each grade. To characterize transitions between sport participation profiles across grades, we used latent transition analysis. Five distinct sport participation profiles emerged: "non-participants", "unorganized activities only", "single-sport low frequency", "single sport high frequency", and "multi-sport". Only "multi-sport" participants were unlikely to be classified as "non-participants" over time. Encouraging multi-sport participation might help protect against later non-participation. This study helps identify important times to intervene for improving physical activity levels.
很少有研究使用多种特征描述普通人群的体育参与情况。因此,本研究的目的是确定青少年时期的体育参与情况,并描述从五年级到十二年级(10 至 18 岁)的跨阶段的变化。我们使用了来自监测青少年活动以了解其习惯(MATCH)研究的 916 名参与者(55%为女孩;起始时年龄为 10-12 岁)的数据。参与者在五年级至十二年级期间每年三次(共 24 个数据收集周期,2011-2018 年)自我报告参与 36 种有组织和无组织的体育活动。在每个学校年级,我们得出了四个关于体育参与的分类变量:有组织的运动数量、无组织活动数量、每周活动次数和全年活动次数。为了确定体育参与情况,我们在每个年级使用潜在类别分析。为了描述跨年级的体育参与情况的变化,我们使用潜在转变分析。出现了五个不同的体育参与情况:“非参与者”、“仅无组织活动”、“单一运动低频率”、“单一运动高频率”和“多运动”。只有“多运动”的参与者不太可能随着时间的推移被归类为“非参与者”。鼓励多运动参与可能有助于防止以后的非参与。这项研究有助于确定提高体育活动水平的重要干预时机。