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Showing 2 results for Zahiri

Shirazeh Arghami, Hamid Ghanbari, Ghasem Zahirian,
Volume 2, Issue 1 (Journal of Ergonomics 2014)
Abstract

Background & Objectives: Shiftwork is a social phenomenon that can have adverse effects on human life. Given the importance of the shiftwork system and caused by the related health problems, the present study was conducted to determine the health status of and shift workers in a hospital. Methods: This cross-sectional study was conducted in one of the hospitals in Razan (Iran). The sample size consisted of 120 medical, administration and service staff. The SOS questionnaire was used for data collection. The data analysis was performed in SPSS software by χ2. Results: The results showed that 98.3% of complaints were about personal, social and familial problems, and 84.9% were related to musculoskeletal disorders. . Satisfaction of rotating shift work and shift work voluntarily chosen variables, the rotation of the shift, shift work and adverse effects on personal life, adverse effects on family life revealed a significant relationship (P<0.05). Instead, insomnia common variables, adverse effects on social life and social problems showed no significant relationship.
Mohammad Babamiri, Azita Zahiri, , Zekrollah Morovati, Majid Yousefi Afrashte, Yousef Dehghani,
Volume 3, Issue 4 (Journal of Ergonomics 2016)
Abstract

Introduction: Job burnout can have negative effects on organizations and their employees. This study tried to investigate the relationships between job burnout and occupational stress, the four dimensions of organizational justice, personality characteristics, role clarity, and role overload.

Material and Methods: All full-time employees of the Regional Electric Company of Kerman (n = 200) were selected as the study sample. Finally, 138 usable questionnaires were collected. Previously designed questionnaires were used to measure work overload, occupational stress, role calrity, and organizational justice and respect. Maslach Burnout Inventory and NEO were also administered. Pearson’s correlation and multiple regression analyses were applied to analyze the data. All analyses were performed using SPSS 16.0.

Results: Job burnout was significantly related with occupational stress, distributive justice, extraversion, role clarity, role overload, organizational respect. Multiple regression analysis suggested distributive justice, overload, procedural justice, and occupational stress as the best predictors of job burnout. These factors explained 48% of the variance in burnout.

Conclusion: According to the results of this study, policymakers and planners of the organization are recommended to pay more attention to parameters contributing to job burnout. This will prevent job burnout among the personnel and promote organizational efficiency.



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