Psychological and Psychosocial Impact and Related Factors during the COVID-19 Pandemic among Iranian Oil Refineries Personnel: A longitudinal study
Bibliographic record
Abstract
Background: The COVID-19 outbreak is currently a critical challenge, and proper perception of the mental health situation of individuals in the working environments has become a crucial issue. This study aimed to investigate the psychological and psychosocial impact during the COVID-19 pandemic among Iranian oil refineries personnel. Methods: This longitudinal study was conducted in two phases from November 2019 to July 2020 among the 850 employees of three refineries in Iran. To study the mental workload, job burnout, lifestyle, occupational stress, general health, and memory quotient of personnel, the NASA-TLX questionnaire, Maslach Burnout Inventory (MBI) questionnaire, Walker’s health-promoting lifestyle questionnaire, health and safety executive (HSE) job stress questionnaire, general health questionnaire, and Wechsler memory scale were used, respectively. Data were analyzed using paired sample t test, independent sample t test, and one-way ANOVA in SPSS version 25. Results: The study results revealed that the mean age of studied personnel was 34.62±13.48 years. There was a meaningful correlation between the values of mental workload, job burnout, occupational stress, general health, healthy lifestyle, and memory quotient of personnel before and during the COVID-19 pandemic (P value<0.05). Conclusion: The COVID-19 pandemic can significantly affect the psychological and psychosocial parameters of employees in working environments. Therefore, implementing psychological interventions is absolutely necessary to promote personnel’s mental health during the COVID-19 pandemic.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".