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

This Data in Brief (DiB) article presents a hierarchical multiple linear regression model that examine the associations between psychosocial work factors and risk behaviors at the wheel in Bus Rapid Transit (BRT) drivers (n1⁄4524). The data were collected using a structured self-administrable questi...

Full description

Autores:
Useche, Sergio
Gómez, Viviola
Cendales, Boris
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/1600
Acceso en línea:
http://hdl.handle.net/20.500.12495/1600
https://doi.org/10.1016/j.dib.2017.09.032
Palabra clave:
Estrés laboral
Transportes
Fatiga
Professional drivers
Work stress
Fatigue
Psychological distress
Rights
License
Attribution 4.0 International
Description
Summary:This Data in Brief (DiB) article presents a hierarchical multiple linear regression model that examine the associations between psychosocial work factors and risk behaviors at the wheel in Bus Rapid Transit (BRT) drivers (n1⁄4524). The data were collected using a structured self-administrable questionnaire made of measure- ments of wok stress (job strain and effort- reward imbalance), fatigue (need for recovery and chronic fatigue), psychological distress and demographics (professional driving experience, hours driven per day and days working per week). The data contains 4 parts: descriptive statistics, bivariate correlations between the study variables and a regression model predicting risk behaviors at the wheel and the entire study dataset. For further information, it is convenient to read the full article entitled “Stress-related Psychosocial Factors at Work, Fatigue, and Risky Driving Behavior in Bus Rapid Transport (BRT) Drivers”, published in Accident Analysis & Prevention.