The role of psychosocial correlates in the relationship between biological maturation and physical activity among Korean adolescent girls
Bibliographic record
Abstract
Objectives. To examine whether body fatness (i.e., body mass index and % body fat) and psychosocial correlates of physical activity (PA) mediate the relationships between biological maturation and PA and sedentary behaviour among Korean adolescent girls. Methods. Pubertal status, body fatness, sport competence, perceived barriers to PA, parental support, self-efficacy, PA, and sedentary behaviour were assessed among 236 Korean adolescent girls (mean age = 13.56 ± .08 years). Results. A direct association was identified in all models between pubertal status and PA; more advanced pubertal status predicted lower PA among Korean adolescents (b = -.51 ~ -.57; p < .000). Indirect effects on the pubertal timing-PA relationship were also found; body fatness, perceived barriers to PA, paternal and maternal support, and self-efficacy mediated the relationship between pubertal timing and PA. No relationship was found between pubertal timing and sedentary behaviour. Conclusion. This study found direct effects of body fatness, and psychosocial correlates of PA on the relationship between pubertal status and PA among Korean adolescent girls. These results build on the current existing literature pertaining to the possible pathways between biological maturation and PA among adolescent girls.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".