A Longitudinal Assessment of the Impact of Biological Maturity and Menarche on Adolescents’ Organized Sport and Physical Activity Participation
Bibliographic record
Abstract
INTRODUCTION: Processes accompanying growth and maturation are known to impact physical activity (PA) participation among adolescents. This study evaluated the longitudinal impact of these processes on organized sport participation and moderate-to-vigorous PA (MVPA) among male and female adolescents. METHODS: This study used secondary analysis of data from a longitudinal cohort of 6639 adolescents (Age = 12.92 ± 0.81 years; Males = 3302; Females = 3226) collected using confidential, online self-report surveys through the Health4Life Study across 71 secondary schools in Australia from 2019 to 2022. Controlling for age, socioeconomic status, and state, mixed effects regression models assessed the impact of pubertal stage, relative pubertal timing, and period status (female adolescents only) on organized individual and team sports and MVPA participation. RESULTS: While organized sport and MVPA participation reduced over time for all participants, male and female adolescents responded differently to puberty. Male adolescents showed marginally greater likelihood of participation in organized team sport during early puberty and individual sport during late puberty, but female adolescents significantly reduced individual sport participation during middle, late, and postpubertal stages. Relative pubertal timing did not impact male adolescents, but early maturing female adolescents were significantly less likely to participate in organized team and individual sports. Achieving menarche was linked to lower odds of individual sport participation only. CONCLUSIONS: Declining PA participation rates suggest that adolescents may need support for maintaining PA. Disparate effects of puberty in male and female adolescents advocate for separate approaches based on their specific characteristics. Future research should explore the impact of specific sport environment characteristics and menstrual cycle experiences on PA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".