Showing 2 results for Driving
P Shiri, H Soori, A Razzaghi,
Volume 14, Issue 3 (12-2018)
Abstract
Background and Objectives: Human errors are the most important factors for RTIs, which have been addressed in few quantitative studies. The objective of this study was to calculate the annual population attributable fraction (PAF) of the most important human risk factor for RTIs in the streets and highways of the Great Tehran.
Methods: In this study, the data of 124518 individuals registered in the COM114 form of the Police Information and Communication Technology (ICT- FAVA) data system of the country were employed in 2014. A regression model was applied to estimate the magnitude of the impact of traffic violations of drivers with RTIs using the adjusted relative risk ratio. To estimate the PAF, the prevalence and effect size were calculated based on the risk ratio (RR) using the baseline method or the Miettinen formula.
Results: The PAF of driving in reverse gear and failure to observe safe distance was 1.98% and 1.93%, respectively. Driving in the reverse gear and failure to observe the safe distance increased RTIs by 22% and 23%, respectively. On the highways of the Great Tehran, the largest proportion of PAF was related to driving in reverse gear (1.96%), sudden movement of the car (1.90%), speeding (1.87%). Speeding increased the risk of RTIs by 23%.
Conclusion: Monitoring traffic violations can decrease road crashes by 10% in the streets. Moreover, on highways, use of strategies to prevent traffic violations can decrease RTIs by up to 15%.
S Bayat, H Soori, Fs Asgarian,
Volume 17, Issue 3 (12-2021)
Abstract
Background and Objectives: Healthcare providers suffer from occupational burnout due to emotional and physical pressures dealing with patients, which affects all aspects of living behavior. This study aimed to identify the association between occupational burnout and driving behavior among the employees of Shahid Beheshti University of Medical Sciences.
Materials and Methods: A descriptive- analytical study was conducted on 1629 employees of Shahid Beheshti University of Medical Sciences that were selected using random sampling. The employees completed a demographic questionnaire, Maslach Burnout Inventory, and Manchester Driver Behavior Questionnaire. The data were assessed based on a Likert scale.
Results: The results of occupational burnout analysis showed that the mean scores of emotional exhaustion (72.2-22.2-5.6%), cynicism (0.6-42.8-51.6) and professional inefficacy (31.8-21.8-46.4%) were mild, moderate and severe, respectively. The results also showed a significant relationship between depersonalization disorder and unintentional driving violations (P=0.026), driving-related errors and self-adequacy (p=0.023), and occupational burnout and driving behavior and the variables of gender, shift work, working hours, and educational groups. In general, occupational burnout was higher in women than in men (P<0.05).
Conclusion: Educational programs can improve low - risk driving ability among this group of employees. Psychological and counseling services should be reinforced in organizations so that the employees attain the ability to adapt to occupational psychological pressures to reduce occupational burnout in the long term.
