Association between Fatigue and Job Burnout Dimensions with Job Satisfaction in Taxi Drivers in Isfahan, Iran (2022)

Abstract

Background: Fatigue, depression, and job satisfaction are very important variables in job scopes that, if not managed properly, significantly impact job performance. This study aimed to investigate the association between occupational fatigue and burnout levels with job satisfaction among taxi drivers in Isfahan. Materials and Methods: This descriptive study in which 399 randomly selected taxi drivers were recruited, was conducted in Isfahan, Iran, 2022. Data were collected using a demographic and job information questionnaire and Questionnaires of Minnesota Job Satisfaction(MSQ), Maslach Burnout Inventory(MBI), and Multidimensional Fatigue Inventory(MFI). Descriptive and analytical statistical tests such as Spearman and Pearson correlations were used to analyze the data. It was done with SPSS 20 with a significance level of 0.05. Results: Job satisfaction score had a positive and significant association with rest hours, exercise hours, and income of taxi drivers and a negative and significant association with driving hours and education level (p <0.05). According to the results, the fatigue score had no significant association with any demographic variables (p>0.05). Conclusion: Results showed that the fatigue and burnout scores in the studied drivers were generally high. According to the results of the present study and similar studies, it can be recommended that reducing driving hours, increasing drivers' rest hours, and encouraging drivers to do sports activities can be effective in reducing their fatigue while working. © The Author(s) 2023; All rights reserved. Published by Rafsanjan University of Medical Sciences Press.