Relationship between Resilience and Physical Activity in Adolescents: The Role of Family Functioning
Bibliographic record
Abstract
Background: Physical inactivity among adolescents has become a global public health challenge, with over 80% failing to meet the recommendations of the WHO for activity levels. Existing research predominantly examines how physical activity (PA) enhances resilience, while the predictive role of resilience in PA, particularly its interaction with family factors, has received limited attention. This study aimed to examine the associations between resilience and PA among adolescents, focusing on family functioning and gender differences. Methods: In this cross-sectional study, a total of 909 Chinese adolescents (463 males and 446 females, aged 13.3 ± 0.5 years) completed the following validated self-report instruments: the Connor-Davidson Resilience Scale with 10 items, the Physical Activity Questionnaire for Older Children, and the Family Adaptability and Cohesion Evaluation Scale II-Chinese version that was used to categorize family functioning into three types (i.e., lower, balanced, and higher). The generalized linear mixed-effect model (GLMM) was used to determine the contribution of resilience and its interaction with family functioning type on PA after adjusting for age and gender. Results: Males presented significantly higher resilience and PA levels (both p < 0.001) as well as better family functioning (p < 0.01) than females. Compared with the lower functioning group, participants from higher-functioning families showed superior resilience and PA (both p < 0.001). The GLMM analysis revealed a positive relationship between resilience and PA (p < 0.001), where the lower functioning group was significantly weaker than the higher functioning group. Conclusion: Resilience and PA in adolescents vary across gender and family functioning type, with males and adolescents from better-functioning families outperforming their peers. Resilience is a positive predictor of PA in adolescents, with family functioning type being a crucial moderator of such a relationship.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".