@article{ref1,
title="Identification of factors contributing to traffic accidents amongst girls in Tehran with specific focus on psychosocial factors",
journal="Bulletin of emergency and trauma",
year="2020",
author="Tahmasebi, Siyamak and Javadi, Seyyed Mohammad Hossein and Azari Arghun, Tahereh and Edrisi, Forughe and Tajlili, Alireza",
volume="8",
number="1",
pages="19-26",
abstract="OBJECTIVE: To identify the human factors contributing to traffic accidents with a special focus on psychosocial factors amongst young girls of Tehran, Iran. <br><br>METHODS: In a descriptive study conducted in Tehran, Iran in 2013, 108 girls aged 18-24 were enrolled by using a stratified cluster sampling method. Participants filled a wide range of validated questionnaires about traffic psychology. <br><br>RESULTS: The developed psychological model about behaviors of drivers' factors as well as agreeable and aggressive personality trait with B coefficient of 0.25% and 0.37% were able to predict violation, driving style, perception of police laws, and off hook scheme and the mistrust with B coefficient of 0.33%, 0.23% and 0.28% in the level of 0.1 were able to predict violations and lapses of sample group, respectively. Extroversion with B coefficient of 0.27% also predicted unintentional violations of girls. B coefficient for perception of police laws was 0.22%. This was 0.25% for openness to experiences. Concerning driving accidents, the perception of police rules has the highest predictability. <br><br>CONCLUSION: According to the results of the current research amongst girls in Tehran, a gender-sensitive interventional model can be designed for reduction of traffic accidents for this population group.<p /> <p>Language: en</p>",
language="en",
issn="2322-2522",
doi="10.29252/beat-080104",
url="http://dx.doi.org/10.29252/beat-080104"
}