Contemporaneous trajectories of physical activity and screen time in adolescents

Author:

Riglea Teodora1,Doré Isabelle12,O’Loughlin Jennifer13,Bélanger Mathieu456,Sylvestre Marie-Pierre13

Affiliation:

1. Centre de recherche du centre hospitalier de l’Université de Montréal, Montréal, QC H2X 0A9, Canada.

2. School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.

3. Department of Social and Preventive Medicine, School of Public Health, Université de Montréal, Montréal, QC H3N 1X9, Canada.

4. Department of Family Medicine, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada.

5. Centre de formation médicale du Nouveau-Brunswick, Moncton, NB E1A 3E9, Canada.

6. Research Services, Vitalité Health Network, Bathurst, NB E2A 1A9, Canada.

Abstract

Adolescents often report low moderate-to-vigorous physical activity (MVPA) and high screen time. We modeled sex-specific MVPA and screen time trajectories during adolescence and identified contemporaneous patterns of evolution. Data were drawn from 2 longitudinal investigations. The Nicotine Dependence in Teens (NDIT) study included 1294 adolescents recruited at age 12–13 years who completed questionnaires every 3 months for 5 years. The Monitoring Activities of Teenagers to Comprehend their Habits (MATCH) study included 937 participants recruited at age 9–12 years who completed questionnaires every 4 months for 7 years. MVPA was measured as the number of days per week of being active for at least 5 min (NDIT) or 60 min (MATCH). In both studies, screen time was measured as the number of hours spent weekly in screen activities. In each study, sex-specific group-based trajectories were modeled separately for MVPA and screen time from grade 7 to 11. Contemporaneous patterns of evolution were examined in mosaic plots. In both studies, 5 MVPA trajectories were identified in both sexes, and 4 and 5 screen time trajectories were identified in boys and girls, respectively. All combinations of MVPA and screen time trajectories were observed. However, the contemporaneous patterns of evolution were favourable in 14%–31% of participants (i.e., they were members of the stable high MVPA and the lower screen time trajectories). Novelty: MVPA and screen time trajectories during adolescence and their combinations showed wide variability in 2 Canadian studies. Up to 31% of participants showed favourable contemporaneous patterns of evolution in MVPA and screen time. Using uniform methods for trajectory modeling may increase the potential for replication across studies.

Publisher

Canadian Science Publishing

Subject

Physiology (medical),Nutrition and Dietetics,Physiology,General Medicine,Endocrinology, Diabetes and Metabolism

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