Can improving sleeping hours enhance the depression and anxiety of young males with chronic musculoskeletal pain?
Bibliographic record
Abstract
PURPOSE: Chronic musculoskeletal pain (CMP) is a costly public health threat that is closely related to mental health. This cross-sectional study aimed to investigate the status and factors related to CMP in young males. METHODS: A total of 126 young males with CMP were randomly sampled between June 20 and October 19, 2023. Demographic information was collected using the Short-Form McGill Pain Questionnaire (SF-MPQ) and Hospital Anxiety and Depression Scale (HADS). RESULTS: Moderate-to-mild CMP was showed (15.51 ± 10.07). Older age, lower education level, shorter sleeping hours, and more severe CMP were associated with lower mental health. Specifically, hierarchical regression and path analysis revealed that sleeping hours partially mediated the relationship between chronic musculoskeletal pain and mental health (coefficient = 0.249, p < 0 0.001). CONCLUSION: Related risk factors are important for targeted intervention and treatment of CMP. Sleep intervention is conducive to depression and anxiety recovery in individuals with CMP. Based on the results of this study, further measures can be taken to mitigate the negative consequences of CMP on public mental health.
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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 | 0.000 | 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 | 0.000 | 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".