Association between Occupational Stress and Respiratory Symptoms among Lecturers in Universiti Putra Malaysia
Bibliographic record
Abstract
There was considerable evidence that a subject's psychological status may influence respiratory sensations and that some subjects may experience respiratory symptoms regardless of the presence of a respiratory disease. The objective of this study was to determine the association between occupational stress and respiratory symptoms among lecturers. This cross sectional study was conducted in Universiti Putra Malaysia, involved 61 lecturers from various faculties. Job Content Questionnaire (JCQ) and questionnaires based on American Thoracic Society were used to collect the data on socio-demography, stress level and respiratory symptoms. High level of occupational stress (high strain) was determined among 16 of the respondents (26.2%). Breathlessness was the common symptom experienced by the respondents. Female lecturers were significantly experienced high stress level compared to male (p=0.035). They were also significantly having more breathlessness symptom compared to male lecturer (p=0.011). Study highlighted in study population, gender plays a significant role that influenced level of occupational stress and also gender has role in resulting occupational stress level and respiratory symptoms. There was no significant association between occupational stress and respiratory symptoms. It can be concluded that this group of lecturers of Universiti Putra Malaysia did not experienced high occupational stress level. Occupational stress level was not statistically significantly associated with all respiratory symptoms being studied.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".