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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".