RESUMEN
Psychosocial work factors are implicated in the development of stress and job satisfaction. This relationship has been scarcely studied in so-called singular activities, as is the case of professional drivers. This cross-sectional study of 601 professional drivers assesses psychosocial risks and job satisfaction using Copenhagen Psychosocial Questionnaire (COPSOQ) and Overall Job Satisfaction questionnaire models. The values of the psychosocial scales of professional drivers were compared with thresholds values of the Spanish working population. The relationships of the psychosocial scales with the level of job satisfaction were examined using logistic regression models, adjusted for age, gender, length of driving license and years of experience. In general, professional drivers have an unfavorable psychosocial environment compared to the average Spanish workers. The relationship between psychosocial scales and job satisfaction is observed, with the most influential variables being the meaning and development of work, integration in the company, social relations, esteem and level of psychological demands.
RESUMEN
Each year, 1.35 million people worldwide die due to Road Traffic Injuries (RTI), highlighting the need for further research. The risk of RTI is usually estimated as the number of casualties divided by the level of exposure in a population. Identifying the most appropriate exposure measures is one of the most important current challenges in this field. This paper presents an analysis of exposure measures used in empirical studies on road accidents. The results show a large variability in the exposure measures used, ranging from more general measures (such as population figures or vehicle fleet) to more specific measures related to mobility (such as number of trips, distances or travel time). A comparison of the risk patterns found shows that there is a partial consensus on the profiles with the highest risk of road traffic injuries. In conclusion, there is a need for the international standardization of criteria and data to be recorded, at least injury severity and measures of exposure to mobility, as the travel time disaggregated by socio-demographic variables and mode of transport. Such data would provide higher-quality results on risk profiles and facilitate the implementation of more effective, knowledge-based road safety policies.