Correlation between alexithymia and mental health among scientific workers in Shanxi Province
Bibliographic record
Abstract
Objective To explore the correlation between alexithymia and mental health among scientific workers in Shanxi Province.Methods One thousand and thirty-two scientific workers were assessed using SCL-90 and TAS-20.Results ①The total score and factorsⅠ-andⅡscores were higher in those with major work stress.②The factors Ⅱ-andⅢscores were relatively lower in those who exercised for 4 to 7 hours per week.③With TAS-20 scores≥62 de-fined as the alexithymia subjects and TAS-20 scores≤44 as the non-alexithymia subjects,alexithymia group experi-enced significantly higher total scores and factor-scores of SCL-90 as compared with the nonalexithymia group.④There was a positive correlation between the total score of TAS-20,factorⅠ,factorⅡand the total score,factor-scores of SCL-90(r=0.208~0.325,P0.01).There was positive correlation between factorⅢand total score,factor-scores of SCL-90 ex-cept anxiety,hostility and paranoid ideation.Conclusion There was a close relation between alexithymia and mental health among scientific workers in Shanxi Province,to which,exercise-hours and work stress may be influencing factors.
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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 | 0.002 | 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 | 0.001 |
| 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".