Journal of Health and Safety at Work

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Introduction: Job satisfaction is a feeling of increased motivation, productivity and growth of personnel at work. Considering the negative effects of burnout, this syndrome can effect on occupational functions, such as quality of work, public health and job satisfaction. This study investigated the relationship between job satisfaction, general health and burnout is one of the automotive industries.

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Material and Method: This study was a descriptive - analytical study conducted among. 120 workers in an automobile manufacturing industry in Tehran.the samples were selected using simple sampling method. Data were collected using, job satisfaction questionnaire Barry field, GHQ-28 and self-evaluation scale questionnaire. The data were analyzed using SPSS software.

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Result: In this study 95% of individuals had low job satisfaction and moderated. In addition, 73/6% significant of people were likely to burnout, and 55% were people with mental health disorders. There was Inverse relationship between job satisfaction and general health the whole item. The direct correlation between the variables of general health and burnout, and there was a significant variable. The inverse relationship between job satisfaction and burnout, there was significant.

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Conclusion: Given the obvious relationship between burnout and job satisfaction with public health, industry executives need to learn and improve incentive programs to promote employment, human relations and feelings of efficacy and bring into force.

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Introduction: Burnout dimensions include the emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA).
Materials and Methods: The information was obtained from searching standard Persian and English keywords in accessible databases including: Scopus, Magiran, SID, Science Direct  and  PubMed from database commencement to April 2017. Data  Analysis was performed using Stata version 11.1., and p value was considered less than 0.05.
Results: In the systematic review 43 studies met the inclusion criteria, and 9456 people were evaluated. The prevalence of burnout was calculated in any of the three dimensions of burnout. The prevalence of the Emotional Exhaustion (EE) dimension of burnout was%36 (%95CI: 29-42), the Depersonalization (DP) dimension was%23 (%95CI: 18-29) and the Personal Accomplishment (PA) dimension was%46 (%95CI: 39-53). Based on the type of the job, the maximum prevalence of the EE, DP and PA dimensions was in librarians 67% (%95CI:40-93), university staff 51% (14-88) and dentists 72%(%95CI:65-79), respectively. Meta regression results showed that there was no significant relationship between the year of publication and the prevalence of burnout.
Conclusion: According to the prevalence of burnout in Iran and the high prevalence of the PA dimension, it is recommended to consider mediating strategies for reducing and controlling stressful occupational events and burnout in organizational schedule.

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Introduction: Job burnout is a kind of psychological exhaustion that is associated with psychological stress or job and workplace stress and can affect the general health of the individual.  Job burnout is more likely to occur in jobs offering health and social services. Considering the special problems of hospital staff due to high work sensitivity, this study was conducted to identify the relationship between job burnout and mental health among non-medical staff of general, specialty and sub-specialty hospitals affiliated to the Iranian oil industry.
Material and Methods: This research is descriptive-analytical which is of correlation type. Cluster random sampling was used to select 251 non-medical staff members of Oil Company’s hospitals in Abadan, Ahwaz, Mahshahr and Tehran. The instruments used included demographic checklist, Goldberg General Health Questionnaire and Maslach Burnout Questionnaire. The data were analyzed by Spearman, Mann–Whitney U test and Kruskal-Wallis correlation test at the level of 0.05.
Results: The findings showed that the mean and standard deviation of age of participants were 38.82±8.3. 49.5% of participants were female  The mean and standard deviation of mental health was 2.12 ± 0.405 and the mean and standard deviation of burnout was 28.4 ± 0.634. There is a meaningful and reverse relationship between burnout and mental health, mental health and emotional exhaustion and depersonalization and personal adequacy in non-medical staff in general, specialty and sub-specialty hospitals affiliated to the Iranian oil industry.
Conclusion: Based on the findings of the study, job burnout affects mental health. Burnout affects both male and female. The findings of this study can be used in planning preventive measures, and identifying groups which are exposed to risk in work environments.

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Introduction: Mental health in the workplace is a critical factor influencing both employee well-being and organizational productivity. However, issues such as stress, anxiety, depression, and burnout can significantly impair job performance and overall quality of life. While numerous tools have been developed to assess mental health, many are not specifically designed or updated for work environments. As the complexity of the workplace continues to increase, accurate identification and evaluation of these conditions become increasingly essential. This study aims to review available tools and identify the most proper methods for screening and assessing mental health issues in the workplace.
Material and method:  A scoping review approach was used to identify mental health assessment tools applicable to workplace settings. The PubMed, PsycINFO, Web of Science, and Scopus databases were searched using keywords related to mental health at work. Studies published after 2020 were included, focusing on tools developed and validated in work environments. Two authors independently extracted and reviewed data from selected studies. Tools were categorized based on their aims and specific characteristics.
Results: After screening, 12 studies were selected from a primary set of 746 papers.. The extracted tools were designed to assess stress, anxiety, depression, and burnout. While most tools were developed for general settings or the public, some were appropriated to specific occupational groups, such as military personnel and healthcare workers. Burnout assessment tools were the most frequently referenced category.
Conclusion: Newer tools, such as the Work Stress Screener, Occupational Depression Inventory, and Burnout Assessment Tool, offer potential advantages over older instruments. Shorter, specialized tools are recommended to assess job anxiety effectively. Organizations should prioritize selecting tools that align with their employees' specific working conditions to promote mental health and productivity.

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Introduction: Heat stress is a common environmental risk factor for many occupations, which can lead to increased fatigue during cognitive tasks. Fatigue is a multifactorial phenomenon that is affected by various environmental, physiological, and psychological factors, and can affect biomechanical, physiological, and psychological components. This study focuses on the impact of environmental, individual, and physiological factors, and burnout on general fatigue.
Material and Methods: This descriptive-analytical study was conducted among 189 employees of the Iran Oil Company at both indoor and outdoor workstations. Heat stress was measured using the (WBGT) index, and thermal strain risk was evaluated. Variables such as skin temperature, ear temperature, blood pressure, and heart rate were also monitored. To assess general fatigue and occupational burnout, (MFI) and the Maslach Burnout Inventory were completed by the employees.
Results: The results revealed that 79.9% of the employees were exposed to heat stress, with repair workers experiencing the highest levels of emotional exhaustion (23/38), depersonalization (15/34), general fatigue (10/00), and physical fatigue (9/05).  Statistically significant relationships were found between heat stress and fatigue and decreased motivation, between all components of burnout and general fatigue, and between core temperature, blood pressure, and general fatigue (p<0.05). Notably, demographic factors such as marital status, smoking status, and education level did not significantly influence fatigue scores.
Conclusion: Fatigue is strongly associated with heat stress, physiological variables such as body temperature and blood pressure, burnout, personal habits such as sleep duration and exercise, and the type of job. These findings suggest that in hot work environments, monitoring physiological variables and environmental factors can help identify and address fatigue issues.