• Mahmood Bakhtiyari, Ali Delpisheh, Ayad Bahadori Monfared, Mohammad Hassan Kazemi-Galougahi, Mohammad Reza Mehmandar, Mohammad Riahi, Masoud Salehi, and Mohammad Ali Mansournia.
• a Safety Promotion and Injury Prevention Research Centre , Shahid Beheshti University of Medical Sciences , Tehran , Iran.
• Traffic Inj Prev. 2015 Jan 1; 16 (1): 36-41.

ObjectiveTraffic crashes are multifactorial events caused by human factors, technical issues, and environmental conditions. The present study aimed to determine the role of human factors in traffic crashes in Iran using the proportional odds regression model.MethodsThe database of all traffic crashes in Iran in 2010 (n = 592, 168) registered through the "COM.114" police forms was investigated. Human risk factors leading to traffic crashes were determined and the odds ratio (OR) of each risk factor was estimated using an ordinal regression model and adjusted for potential confounding factors such as age, gender, and lighting status within and outside of cities.ResultsThe drivers' mean age ± standard deviation was 34.1 ± 14.0 years. The most prevalent risk factors leading to death within cities were disregarding traffic rules and regulations (45%), driver rushing (31%), and alcohol consumption (12.3%). Using the proportional odds regression model, alcohol consumption was the most significant human risk factor in traffic crashes within cities (OR = 6.5, 95% confidence interval [CI], 4.88-8.65) and outside of cities (OR = 1.73, 95% CI, 1.22-3.29).ConclusionsPublic health strategies and preventive policies should be focused on more common human risk factors such as disregarding traffic rules and regulations, drivers' rushing, and alcohol consumption due to their greater population attributable fraction and more intuitive impacts on society.

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