Exploring the mediating effects of academic performance and self-esteem on the influence of sleep quality on internalizing and externalizing problems among Chinese adolescents
Bibliographic record
Abstract
This study examines the associations between sleep quality and internalizing and externalizing problems among Chinese adolescents and investigates whether academic performance and self-esteem function as mediators. Data were obtained from the 2018 wave of the China Family Panel Studies (CFPS), comprising a sample of 1,016 Chinese adolescents aged between 10 and 15 years. We employed multiple mediation models, using Hayes’ PROCESS macro, for data analysis. The results showed that poor sleep quality was associated with an increase in both internalizing and externalizing problems. Furthermore, academic performance and self-esteem were identified as mediators in these relationships, operating in parallel and sequential manners. Besides maintaining adequate sleep hours, interventions aimed at improving academic performance and self-esteem could potentially alleviate the adverse effects of poor sleep quality on internalizing and externalizing problems among adolescents.
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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 | 0.001 | 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 | 0.001 |
| 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".