Children and adolescent physical activity participation and enjoyment during active play
Bibliographic record
Abstract
BACKGROUND: Girls' (9-19 years) participation in physical activity (PA) is known to decrease at a faster rate than boys. A reduction in PA attractiveness (enjoyment) and lower psychosocial profile of girls approaching biological maturity may underlie the decreasing rate of PA participation. Since engaging children in active play programs improves health related quality of life indictors and enjoyment levels; the purposes of this study were to: 1) assess psychosocial status and PA attractiveness/enjoyment of boys and girls to an eight-week active play program; and 2) investigate the relationships among PA participation, psychosocial status and PA attractiveness with both age and maturity status for boys and girls following an active play PA program. METHODS: Thirty-three children (age 9.8±1.3 years; weight 43.1±13.4 kg; BMI 20.8±3.2 kg/m2) were recruited to participate in an active play program for 8 weeks (4x/week; 1hr/d). M-S estimates ranged from -6.7 to -2.5 years away from biological maturity Daily program PA was assessed and compared to pre-post measures of psychosocial functioning and PA attractiveness. Statistical procedures were performed using ANOVA and/or Pearson's correlation r (SPSS v. 22.0) with P=0.05. RESULTS: PA participation in the active play program showed a group average of 39±11% time spent in moderate-vigorous PA (%MVPA) with boys averaging 45% MVPA and girls averaging 30% MVPA (P<0.05). PA attractiveness scores for boys did not change following the program; whereas girls improved from 67±13% to 76±9% (P<0.05). Minimal changes were noted for the health-related quality of life measures as a result of the PA program. Comparing PA attractiveness to %MVPA, 80% of girls reporting positive changes or no change; in contrast 56% of boys responded with negative/less PA attractiveness. PA attractiveness for all children was negatively associated with age (r=-0.19) and/or M-S (r=-0.29). The relationships, however, were gender specific with boys exhibiting a coefficient of -0.28 (age) and -0.61 (M-S) (P<0.05). For girls, increased PA attractiveness promoted less decline in %MVPA for M-S (r=0.18) compared to age (r=-0.17). CONCLUSIONS: For girls, approaching biological maturity, PA enjoyment/attractiveness can be positively influenced with an active play program, which is a major consideration promoting PA participation in girls but not boys.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".