Fatemeh Jahanjoo; Homayoun Sadeghi-Bazargani; Seyyed Teymoor Hosseini; Mina Goletsani; Mahdi Rezaei; Kavous Shahsavari; Hamid Soori; Mohammad asghari Jafarabadi
Volume 11, Issue 3 , July 2023, , Pages 125-131
Abstract
Objective: To determine the causal relationship between aging and nighttime driving and the odds of injuryamong elderly drivers.Methods: In this cross-sectional study, 5460 car accidents were investigated from 2015 to 2016. The data wereextracted from the Iranian Integrated Road Traffic Injury Registry ...
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Objective: To determine the causal relationship between aging and nighttime driving and the odds of injuryamong elderly drivers.Methods: In this cross-sectional study, 5460 car accidents were investigated from 2015 to 2016. The data wereextracted from the Iranian Integrated Road Traffic Injury Registry System. Pedestrian accidents, motorcyclecrashes, and fatalities were excluded from the study. To account for major confounders, Bayesian-LASSO, andtreatment-effect cutting-edge approaches were used.Results: Overall, 801 injuries (14.67%) were evaluated. The results of the univariable analysis indicated thataging and nighttime had adverse effects on the odds of road traffic injuries (RTIs), even after adjusting forthe effect of other variables, these effects remained statistically significant. According to a newly developedapproach, the overall effects of aging and nighttime were significantly and directly correlated with the odds ofbeing injured for older adults (both p<0.001). Our findings indicated that drivers over 75 years old experienced23% higher injury odds (OR=1.23, 95% CI:1.11 to 1.39; p<0.001), while driving at night increased the odds by1.78 times (OR=1.78, 95% CI:1.51 to 1.83; p<0.001).Conclusion: Aging and nighttime driving are significant risk factors for RTIs among elderly drivers. Thishighlights the importance of implementing targeted interventions to enhance road safety for this vulnerablepopulation. Furthermore, the use of advanced Bayesian-LASSO and treatment-effect statistical methodshighlights the importance of utilizing sophisticated methodologies in epidemiological research to effectivelycapture and adjust for potential confounding factors.
Farshad Faghisolouk; Sanaz Sohrabizadeh; Hamid Soori; Davoud Khorasani-zavareh
Volume 9, Issue 1 , January 2021, , Pages 28-35
Abstract
Objective: To explore the factors affecting unsafe antisocial behaviors of drivers in the context of Iran.Methods: The interviews were conducted from June to November 2019. A number of 19 participants were selected using purposive sampling method. The data were collected using face to face in-depth ...
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Objective: To explore the factors affecting unsafe antisocial behaviors of drivers in the context of Iran.Methods: The interviews were conducted from June to November 2019. A number of 19 participants were selected using purposive sampling method. The data were collected using face to face in-depth semi-structured interviews. Content analysis using Granheim’s approach was applied for data analysis.Results: Seven categories and 14 sub-categories were extracted from the data. The categories included cultural factors, educational and training factors, laws, imitating, substance abuse, awareness and attitude, and psychological problems.Conclusion: Based on the findings, various cultural, legal, educational, individual and psychological factors affect the unsafe antisocial behavior in driving. Seemingly, such behaviors could increase the chance of death or injury caused by road traffic crashes among the road users and affect social welfare of the citizens and road user’s safety.
Fatemeh Sadat Asgarian; Mahshid Namdari; Hamid Soori
Volume 8, Issue 4 , October 2020, , Pages 243-248
Abstract
Objective: This study investigated the existence of anxiety and depression mediating effect on the relationship between PTSD and aggression in the hope of providing more comprehensive and effective trauma treatment in motor vehicle accident. Methods: The studied population of the study consisted of motor ...
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Objective: This study investigated the existence of anxiety and depression mediating effect on the relationship between PTSD and aggression in the hope of providing more comprehensive and effective trauma treatment in motor vehicle accident. Methods: The studied population of the study consisted of motor vehicles with posttraumatic stress disorder in Kashan. Three questionnaires of post-traumatic stress disorder, Hospital Anxiety and Depression Scale (HADS) and Aggression Questionnaire (Buss & Perry, 1992) were used for data collection. In order to analyze the mediating effects of anxiety and depression on the relationship between PTSD and aggression, structural equation modeling(SEM) was performed with the maximum likelihoodratio as the method of estimation. Results: Evaluation of the research hypothesis model using fitness indices showed that the hypothetical model fits with the measurement model. NFI=0.96, CFI =0.95, RMSEA=0.06 and the results showed that PTSD had indirect exacerbating effects on aggression. The results also confirmed the mediating role of anxiety and depression in the relationship between post-traumatic stress disorder and aggression in motor vehicle accident. Conclusion: The findings demonstrate that anxiety mediates the relationship between PTSD and aggression. Therefore, this finding can help to prioritize therapeutic goals and determine therapeutic focus for mental health professionals. It is possible to reduce one's aggression by focusing on his anxiety and increasing his/her ability to handle and manage it.
