Shahla Heidari; Sareh Keshavarz; Alireza Mirahmadizadeh
Volume 5, Issue 4 , October 2017, , Pages 180-187
Abstract
AbstractBackground: In this cross-sectional study, 501 employees of petrochemical companies were selected by simple sampling method.Methods: Data were collected using Swedish Occupational Fatigue Inventory (SOFI-20), Occupational Fatigue/Exhaustion Recovery (OFER-15), and General Health Questionnaire ...
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AbstractBackground: In this cross-sectional study, 501 employees of petrochemical companies were selected by simple sampling method.Methods: Data were collected using Swedish Occupational Fatigue Inventory (SOFI-20), Occupational Fatigue/Exhaustion Recovery (OFER-15), and General Health Questionnaire (GHQ-28). To identify the factors associated with fatigue and general health, we used ordinary least squares regression (OLS) and SUR and the results were compared. The analysis showed that satisfaction, mental disorder and sleepiness were the important factors associated with fatigue among these workers. However, the SUR estimator provided higher precision of the estimates than the OLS estimator as the parameters obtained by SUR are characterized by lower standard errors. As the models are intended to predict the fatigue risk factors, we particularly focused on the SUR method because it assesses the precision of the model in predicting fatigue determination. SUR estimators performed consistently better than the OLS estimators since SUR takes the correlation between error terms into account. Results: The findings showed that the study population were young and almost had a low job tenure. The correlation test showed that there was a significant relationship between fatigue and general health with job satisfaction (p=0.05), sleep disorder (p=0.01) and mental disorder (p=0.001). Finally, the analysis showed that fatigue as the result of work was affected by some organizational and individual risk factors, among which "general health status" in general fatigue and "job satisfaction and mental disorders" in mental, physical, shift work, chronic and acute fatigue had the most effect.Conclusion: The prevalence of fatigue among the study population was assessed high. Thus, elimination and reduction of casual risk factors are necessary to reduce the prevalence of fatigue at work environmental.
samira mirzaei; Zahra Zamanian; Jafar Hasan Zade
Volume 3, Issue 3 , July 2015, , Pages 113-118
Abstract
Background: The present study aimed to investigate the effects of work shifts and mental workload on chronic fatigue among female nurses in Intensive Care Units of selected hospitals in Shiraz. Methods: The participants in this cross-sectional study were 118 female nurses working in Intensive Care Units ...
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Background: The present study aimed to investigate the effects of work shifts and mental workload on chronic fatigue among female nurses in Intensive Care Units of selected hospitals in Shiraz. Methods: The participants in this cross-sectional study were 118 female nurses working in Intensive Care Units of three hospitals in Shiraz with an average age of 304.8± years. SP (Samn-Perelli) Mental fatigue scale and NASA task load index were rated for two weeks at the beginning and end of each work shift. The Checklist Individual Strenght (CIS) questionnaire was completed to assess the fatigue during the last two weeks. Results: Mean score of chronic fatigue was 69.2±13. Menal fatigue and mental workload per shift were significantly correlated with work shifts (P=0.001). Mental workload (P=0.006, r=0.24) and mental fatigue caused by work shifts (P=0.001, r=0.42) were also significantly correlated with chronic fatigue. Conclusion: The results of the study showed that mental workload and work shifts influence the nurses’ fatigue in Intensive Care Units. Therefore, using intervention strategies to reduce mental work load and modification of shift work system in this group seems to be necessary.