Social epidemiology of sports and extracurricular activities in early adolescents
Bibliographic record
Abstract
BACKGROUND: This study examines the social epidemiology of sports and extracurricular activities in early adolescents (9-14 years) using a diverse national U.S. METHODS: We examined data from baseline (2016-2018, ages 9-10) to Year 3 follow-up (2019-2021) of the Adolescent Brain and Cognitive Development (ABCD) Study (N = 11,270). Multivariable linear regression models with standardized betas estimated adjusted cross-sectional associations between sociodemographic factors (age, biological sex, sexual orientation, race and ethnicity, household income, parental education) and physical activity (metabolic equivalent of task (MET)-hours(h)/week) through sports and extracurricular activities at baseline and Year 3. RESULTS: Average MET-h/week decreased from 15.5 (±18.7) in Year 1 follow-up to 13.0 (±19.1) in Year 3 follow-up. Female sex, gay/bisexual sexual orientation, lower household income, and lower parental education were associated with lower MET-h/week at baseline. Male adolescents were more likely to play soccer and baseball/softball; female adolescents were more likely to play a musical instrument and participate in swimming/water polo and ballet/dance. Among the most common sports and extracurricular activities, lower parental income and education were associated with lower participation. CONCLUSION: This study of early adolescents identified sociodemographic differences in sports and extracurricular activities that can inform targeted interventions to reduce these disparities. IMPACT: This study examines the trends and social epidemiology of sports and extracurricular activities in early adolescents using a demographically diverse national U.S. SAMPLE: Average early adolescent physical activity decreased across three years of follow-up. Soccer, musical instruments, swimming/water polo, baseball/softball, and ballet/dance were the most common activities at baseline. Female sex, gay/bisexual sexual orientation, lower household income, and lower parental education were associated with lower weekly physical activity at baseline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".