Physical Activity as Both Predictor and Outcome of Emotional Distress Trajectories in Middle Childhood
Bibliographic record
Abstract
OBJECTIVE: This prospective longitudinal study assesses the reciprocal relationship between physical activity, including sport participation, and depressive and anxiety symptoms, conceptualized as emotional distress, over time. METHOD: Boys and girls are from the Quebec Longitudinal Study of Child Development birth cohort (N = 1428). Trajectories of emotional distress symptoms from ages 6 to 10 years, assessed by teachers, were generated using latent class analysis. Multinomial logistic regression analyses examined sport participation at age 5 years, measured by parents, as a predictor of emotional distress trajectory outcomes. Analyses of covariance compared physical activity, measured by children at age 12 years, across different trajectories of emotional distress. RESULTS: We identified 3 emotional distress trajectories: "low" (77%), "increasing" (12%), and "declining" (11%). Boys who never participated in sport at age 5 years were more likely to be in the "increasing" (adjusted odds ratio [OR] = 1.63, 95% confidence interval [CI] = 1.01-2.63) or "declining" (adjusted OR = 2.19, 95% CI = 1.28-3.75) emotional distress trajectories compared with boys who participated in any sporting activity. Furthermore, boys in the "low" emotional distress trajectory demonstrated better physical activity outcomes at age 12 years (F(2, 1438) = 6.04, p < 0.05). These results, exclusively for boys, are above and beyond pre-existing individual and family factors. CONCLUSION: This study supports the relevance of enhancing current public health strategies to understand and promote physical activity and emotional adjustment in early childhood to achieve better a more active lifestyle and overall health across development. We underscore male needs for physical activity for health promotion.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".