Assessment of Stress and Its Risk Factors among Primary School Teachers in the Klang Valley, Malaysia
Bibliographic record
Abstract
Introduction: This cross-sectional study determined the workplace stressors, stress levels, mental health status and their influencing factors, among primary school teachers in the Klang Valley, Malaysia. Methodology: Nine primary schools in Klang Valley which fulfil the inclusive criteria were randomly selected from a list obtained from the Ministry of Education website. Two hundred and seventy two teachers from the selected school, volunteered to participate in the study. A questionnaire was used to determine socio-demographic background, working information and medical history. Teacher Stress Inventory was used to measure the stressor and stress levels; while General Health Questionnaire was used to measure the mental health status. Result: Results showed that most of the teachers experience moderate stress level (71.7%) and only 12.1% had low mental health status. Student misbehaviour was the main stressor in the school environment (mean= 2.62). Gender (p=0.001) and workload (p=0.002) showed a significant contributing factors toward mental health status. Conclusion: These primary school teachers experience stress mainly due to the student misbehaviour and the mental well-being were influenced by the workload and gender. Women teachers with heavy workload had relationship with lower mental health status.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".