Trajectories of Job Burnout among Bus Drivers in China: A Three-Year Follow-Up Study

Andi Huang, Lili Liu, Xiayong Wang, Xueguo Li, Jiahong Li, Cong Luo, Jianbin Chen and Jingbo Zhao ()
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Andi Huang: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Lili Liu: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Xiayong Wang: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Xueguo Li: Mental Health Education and Counseling Center, School of Public Health, Southern Medical University, Guangzhou 510515, China
Jiahong Li: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Cong Luo: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Jianbin Chen: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China
Jingbo Zhao: Department of Psychology, School of Public Health, Southern Medical University, Guangzhou 510515, China

IJERPH, 2022, vol. 19, issue 24, 1-13

Abstract: This study aimed to characterize job burnout in longitudinal trajectories among bus drivers and examine the impact of variables related to job burnout for trajectories. A longitudinal study was conducted in 12,793 bus drivers in Guangdong province, China, at 3-year follow-up assessments. Growth mixture modeling (GMM) was used to estimate latent classes of burnout trajectories and multinomial logistic regression models were applied to predict membership in the trajectory classes. In general, there was a decrease in job burnout in 3 years [slope = −0.29, 95%CI = (−0.32, −0.27)]. Among those sub-dimensions, reduced personal accomplishment accounted for the largest proportion. GMM analysis identified five trajectory groups: (1) moderate-decreased ( n = 2870, 23%), (2) low-stable ( n = 5062, 39%), (3) rapid-decreased ( n = 141, 1%), (4) moderate-increased ( n = 1504, 12%), and (5) high-stable ( n = 3216, 25%). Multinomial logistic regression estimates showed that depression symptoms, anxiety symptoms, and insomnia were significant negative predictors, while daily physical exercise was a significantly positive predictor. We found an overall downward trend in bus drivers’ burnout, particularly in the sub-dimension of personal accomplishment. Mentally healthier drivers and those who were usually exercising were more resilient to occupational stress and less likely to suffer burnout.

Keywords: burnout; drivers; longitudinal; multinomial logistic regression; trajectories; growth mixture modeling (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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