Literature DB >> 28494258

Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers.

Sergio A Useche1, Viviola Gómez Ortiz2, Boris E Cendales3.   

Abstract

INTRODUCTION: There is consistent scientific evidence that professional drivers constitute an occupational group that is highly exposed to work related stressors. Furthermore, several recent studies associate work stress and fatigue with unsafe and counterproductive work behaviors. This study examines the association between stress-related work conditions of Bus Rapid Transport (BRT) drivers and risky driving behaviors; and examines whether fatigue is a mechanism that mediates the association between the two.
METHOD: A sample of 524 male Bus Rapid Transit (BRT) operators were drawn from four transport companies in Bogotá, Colombia. The participants answered a survey which included an adapted version of the Driver Behavior Questionnaire (DBQ) for BRT operators, as well as the Effort-Reward Imbalance and Job Content Questionnaires, the Subjective Fatigue subscale of the Checklist Individual Strength (CIS) and the Need for Recovery after Work Scale (NFR).
RESULTS: Utilizing Structural Equation Models (SEM) it was found that risky driving behaviors in BRT operators could be predicted through job strain, effort-reward imbalance and social support at work. It was also found that fatigue and need for recovery fully mediate the associations between job strain and risky driving, and between social support and risky driving, but not the association between effort/reward imbalance (ERI) and risky driving.
CONCLUSIONS: The results of this study suggest that a) stress related working conditions (Job Strain, Social Support and ERI) are relevant predictors of risky driving in BRT operators, and b) that fatigue is the mechanism which links another kind of stress related to working conditions (job strain and low social support) with risky driving. The mechanism by which ERI increases risky driving in BRT operators remains unexplained. PRACTICAL APPLICATIONS: This research suggests that in addition to the individual centered stress-reduction occupational programs, fatigue management interventions aimed to changing some working conditions may reduce risky driving behaviors and promote safety in the professional drivers' jobs and on the road.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fatigue; Fatigue at work; General fatigue; Job stress; Need for recovery; Professional drivers; Risky driving; Working conditions

Mesh:

Year:  2017        PMID: 28494258     DOI: 10.1016/j.aap.2017.04.023

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  32 in total

1.  Driving simulator performance worsens after the Spring transition to Daylight Saving Time.

Authors:  Federico Orsini; Lisa Zarantonello; Rodolfo Costa; Riccardo Rossi; Sara Montagnese
Journal:  iScience       Date:  2022-06-24

2.  A new approach for assessing and training drivers' speed management.

Authors:  Noelle LaVoie; Yi-Ching Lee; Anna Allison; James Parker
Journal:  Accid Anal Prev       Date:  2017-12-14

3.  The relationship between personalities and self-report positive driving behavior in a Chinese sample.

Authors:  Biying Shen; Weina Qu; Yan Ge; Xianghong Sun; Kan Zhang
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

4.  Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers.

Authors:  Luis Montoro; Sergio Useche; Francisco Alonso; Boris Cendales
Journal:  Int J Environ Res Public Health       Date:  2018-03-12       Impact factor: 3.390

5.  Occupational health disparities among U.S. long-haul truck drivers: the influence of work organization and sleep on cardiovascular and metabolic disease risk.

Authors:  Adam Hege; Michael K Lemke; Yorghos Apostolopoulos; Sevil Sönmez
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

6.  An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals.

Authors:  Olivia Vargas-Lopez; Carlos A Perez-Ramirez; Martin Valtierra-Rodriguez; Jesus J Yanez-Borjas; Juan P Amezquita-Sanchez
Journal:  Sensors (Basel)       Date:  2021-05-01       Impact factor: 3.576

7.  Maternal Sociodemographic Factors and Antenatal Stress.

Authors:  Maheshwari Andhavarapu; James Orwa; Marleen Temmerman; Joseph Wangira Musana
Journal:  Int J Environ Res Public Health       Date:  2021-06-25       Impact factor: 3.390

8.  Work stress, fatigue and risk behaviors at the wheel: Data to assess the association between psychosocial work factors and risky driving on Bus Rapid Transit drivers.

Authors:  Sergio Useche; Boris Cendales; Viviola Gómez
Journal:  Data Brief       Date:  2017-09-25

9.  Job strain in public transport drivers: Data to assess the relationship between demand-control model indicators, traffic accidents and sanctions.

Authors:  Sergio Useche; Luis Montoro; Boris Cendales; Viviola Gómez
Journal:  Data Brief       Date:  2018-05-18

10.  Is the risk of low birth weight or preterm labor greater when maternal stress is experienced during pregnancy? A systematic review and meta-analysis of cohort studies.

Authors:  Silvana Andréa Molina Lima; Regina Paolucci El Dib; Meline Rossetto Kron Rodrigues; Guilherme Augusto Rago Ferraz; Ana Claudia Molina; Carlos Alberto Pilan Neto; Marcelo Aparecido Ferraz de Lima; Marilza Vieira Cunha Rudge
Journal:  PLoS One       Date:  2018-07-26       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.