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Background Longitudinal studies demonstrate that physical activity (PA) declines on average from adolescence to early adulthood. However, some subgroups of adolescents increase activity while others decrease or maintain high or low activity. Determinants of change or maintenance of (in)activity may differ between subgroups and are valuable information for targeted health promotion. The purpose of this study was to identify PA patterns from adolescence to early adulthood, and also to explore how different activity domains and Sedentary Behaviour (SB) are associated with PA patterns. Methods The data of this observational cohort study (collected in 2013/2014 and 2017/2018) consisted of 254 Finns at age 15 and 19 participating the Health Promoting Sports Club study. K-means cluster analysis for longitudinal data was performed to identify participant clusters (patterns) based on their accelerometry-measured moderate-to-vigorous PA (MVPA). Associations of sports club participation (SC), active commuting (AC), and SB with PA patterns were examined by logistic regression analysis. Results (preliminary) Five MVPA patterns were identified: inactivity maintainers (n = 71), activity maintainers (n = 70), decreasers from moderate (to low) PA (n = 61), decreasers from high (to moderate) PA (n = 32), and increasers (n = 20). At age 15, SC participation (41-97%) and AC (47-75%) were common in all the patterns. By age 19, clear dropout from these activities was prevalent (SC participation mean 32%, AC 31-63%). Maintained SC participation was associated with a higher likelihood of belonging to the decreasers from high PA (OR = 11.2, CI = 1.4-90.0) and to the combined group of increasers and activity maintainers (OR = 3.6, CI = 1.8-7.4); also with a lower likelihood of being an inactivity maintainer (OR = 0.1, CI = 0.02-0.2). Dropout from SC was related to a higher likelihood of being a decreaser from high PA (OR = 10.9, CI = 1.3-90.7). Maintenance/adoption of AC was associated with a lower likelihood of being an inactivity maintainer (OR = 0.3, CI = 0.1-0.7). Decreased SB was related to a higher likelihood of belonging to the activity maintainers and increasers (OR = 0.96, CI = 0.93-0.98). Conclusions PA patterns diverge greatly over the transition to adulthood. Changes in SC participation, AC, and SB show different associations with diverging PA patterns. Hence, tailored PA promotion is recommended. nonPeerReviewed

Additional file 3. Sociodemographic characteristics and self-rated health of the participants, by PA change patterns [36–38].

Additional file 5. Associations of sociodemographic factors and measurement season with physical activity change patterns via logistic regression analysis.

Additional file 4. The loss to the follow-up analysis [36, 37].

Additional file 2. Device-measurement periods by PA change patterns.

Lasten ja nuorten tavoitteellinen valmennus alkoi urheiluseuroissa 1970-luvulla (Itkonen 2003, 340). Urheiluseuratoiminnan suosio on ollut näihin päiviin asti kasvava. Suosituimpia urheilulajeja ovat joukkuepalloilulajit. (Kansallinen liikuntatutkimus 2009–2010, 16.) Urheilun ja liikunnan parissa muodostuu myös jokaiselle harrastajalle oma harrastushistoriansa, jossa on sekä yksilöllisiä että yhteisiä piirteitä. Urheileminen ja liikunnan harrastaminen muodostavatkin elämänkulkuun oman, kyseiseen elämänalueeseen rajatuvan polun. Tätä voidaan kutsua urheilupoluksi. (Aarresola 2015) Tässä artikkelissa pureudumme joukkueurheilulajeja harrastavien nuorten urheilupolkuihin. Aineistona käytämme sekä laajaa, harrastajille suunnattua kyselyä (n=2013), että tavoitteellisesti urheilevien nuorten haastatteluja (n=11). peerReviewed

nonPeerReviewed