The correlation between workers’ working pressure and physical and mental health analyzed by the job demand-resource stress model
Bibliographic record
Abstract
BACKGROUND: Under the background of the information society, teachers' pressure from work and life is increasing. Meanwhile, the working pressure has a potential inevitable connection with the physical and mental health of teachers. OBJECTIVE: To analyze the correlation between working pressure of workers and mental health status, expand the application of the job demand-resource stress (JD-RS) model in the adjustment of working characteristic pressure, and achieve the coordinated development between working pressure and mental health. METHODS: The occupation of the teacher is taken as the research object. First, the pressure source questionnaire and Symptom Check List 90 (SCL-90) are chosen to measure the working pressure and mental health. Also, the reliability and validity of the pressure source questionnaire are tested. Second, the gender, duty, teaching age, and workload of teachers are chosen as the foundation for comparing and analyzing the impact of various dimensions and project factors on teachers' working pressure and mental health. Finally, based on the method of univariate linear regression analysis, the correlation between teachers' working pressure and mental health is analyzed and characterized. RESULTS: The measurement tool based on the pressure source questionnaire has good performance reliability and validity. The five dimensions of Cronbach's coefficients are all greater than 0.8, and the indicators of fitting all meet psychometrics requirements. Significance analysis shows that different genders, duties, teaching ages, and workloads have different levels of significant influence on teachers' working pressure and mental health. Linear regression analysis shows that teachers' working pressure has a significant impact on their physical and mental health, which has a predictive effect. Teachers who bear high-intensity pressure have psychological problems. CONCLUSIONS: The research based on the JD-RS model has a positive role in promoting the balanced and coordinated development of working pressure and the physical and mental health of employed workers.
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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 | 0.004 | 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".