Number of Years of Team and Individual Sport Participation During Adolescence and Depressive Symptoms in Early Adulthood
Bibliographic record
Abstract
The purpose of this study was to examine the longitudinal and unique association between number of years of team sport and individual sport participation during adolescence and depressive symptoms during early adulthood. Adolescents (n = 860) reported team sport and individual sport participation in each year of secondary school for five years. Participants reported depressive symptoms using the Major Depression Inventory three years after secondary school. Multivariate linear regression was performed to model the associations of sport participation with depressive symptoms while controlling for sex, age, parent education, and baseline depressive symptoms. In the final model, adolescents who consistently participated in team sport during high school reported lower depression scores in early adulthood (β = -.09, p = .02). Number of years of individual sport participation was not statistically significantly associated with depressive symptoms in early adulthood. Based on these findings, team sport participation may protect against depressive symptoms in early adulthood. If this finding is replicated, strategies should be implemented to encourage and maintain team sport participation during adolescence. Further research is needed to understand the mechanisms that link team sport participation to lower depression.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".