TY  - JOUR
PY  - 2021//
TI  - Variables that predict burnout in professional drivers
JO  - International journal of occupational safety and ergonomics
A1  - Tàpia-Caballero, Patricia
A1  - Serrano-Fernández, María-José PhD
A1  - Boada-Cuerva, Maria
A1  - Araya-Castillo, Luis PhD
A1  - Boada-Grau, Joan PhD
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - BACKGROUND: Stress maintained over time leads to a state of exhaustion known as burnout syndrome. This syndrome constitutes an occupational health problem, leading to high absenteeism. It can also mean that workers come to the workplace feeling unwell, which increases occupational collisions and injuries at work. In this study we developed a predictive model of burnout in professional drivers using the following indicators: age, hours worked, seniority, educational level, fatigue, personality, attitudes towards driving, safety behaviors in the vehicle, and work characteristics and content. <br><br>METHOD: A total of 523 professional drivers from different transport sectors, obtained through non-probability sampling, participated in the study. We used the SPSS version 25.0 program to analyze the data. <br><br>RESULTS: We determined the predictive capacity of certain variables that affect drivers and cause burnout. Exhaustion can be predicted with Fatigue (48.8%), Professional efficiency with Emotional Stability (39.8%) and Cynicism with Lack of motivation (28%) being the best predictors. <br><br>CONCLUSIONS: The results contribute to a better knowledge of those factors that cause burnout in professional drivers. It is important to design individual interventions to reduce burnout, which would help reduce sick leave and possible collisions, in addition to providing greater wellbeing for drivers.<p />  <p>Language: en</p>
LA  - en
SN  - 1080-3548
UR  - http://dx.doi.org/10.1080/10803548.2021.1929701
ID  - ref1
ER  -