Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 10, Issue 4 (Autumn 2021)
J Occup Health Epidemiol 2021, 10(4): 231-238 |
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Ghaneian M T, Tarfiei A, Ehrampoush M H, Lotfi M H, Namayandeh M, Adamizadeh A R et al . An Epidemiological Survey on Factors Related to Traffic Accidents in Yazd City, Center of Iran (2016-2018). J Occup Health Epidemiol 2021; 10 (4) :231-238
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URL: http://johe.rums.ac.ir/article-1-483-en.html
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Mohammad Taghi Ghaneian1 
, Azam Tarfiei * 2, Mohammad Hasan Ehrampoush1 , Mohammad Hasan Lotfi3 , Mahdieh Namayandeh4 , Ali Reza Adamizadeh5 , Naeimeh Keyghobdy6
, Azam Tarfiei * 2, Mohammad Hasan Ehrampoush1 , Mohammad Hasan Lotfi3 , Mahdieh Namayandeh4 , Ali Reza Adamizadeh5 , Naeimeh Keyghobdy6
1- Professor, Dept. of Human Ecology, Environmental Science and Technology Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2- MSc Student in Human Ecology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. ,tarfieiaz@gmail.com
3- Professor, Dept. of Biostatistics and Epidemiology, Health Faculty, Shahid Sadoughi University of Medical Science, Yazd, Iran
4- Associated Prof., Dept. of Biostatistics and Epidemiology, Center of Health Care Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
5- MSc in Traffic Management, Head of Traffic Education and Culture Department, Yazd, Iran.
6- MSc in Epidemiology, Dept. of Biostatistics Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Science, Yazd, Iran.
2- MSc Student in Human Ecology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. ,
3- Professor, Dept. of Biostatistics and Epidemiology, Health Faculty, Shahid Sadoughi University of Medical Science, Yazd, Iran
4- Associated Prof., Dept. of Biostatistics and Epidemiology, Center of Health Care Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
5- MSc in Traffic Management, Head of Traffic Education and Culture Department, Yazd, Iran.
6- MSc in Epidemiology, Dept. of Biostatistics Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Science, Yazd, Iran.
Article history
Received: 2021/10/15
Accepted: 2021/12/1
ePublished: 2021/12/25
Accepted: 2021/12/1
ePublished: 2021/12/25
Subject:
Epidemiology
Abstract: (1762 Views)
Background: Traffic accident injuries are a major public health problem. The current study aimed to investigate the prevalence of traffic accidents leading to injuries or deaths and its related risk factors in Yazd city, Centre of Iran.
Materials and Method: In this retrospective study, traffic accidents information recorded by the traffic police of Yazd city during 2016-2018 were used. The data were described using mean, standard deviation, frequency and frequency percentage indices and also independent sample t-test, chi-square and logistic regression were used to analyze the data. All analyses were conducted in SPSS 20 software with a significance level of 0.05.
Result: The total number of people involved in these accidents were 2082 people, including 25 (1.2%) cyclists, 624 (30%) motorcyclists, 183 (8.8%) pedestrians, 321 (15.4%) passengers, and 929 (44.6%) vehicle drivers. Accidents were associated with 1) Types of involved vehicles (light vehicles-58%), 2) Occurrence time (4-8 p.m.-28.9%), 3) Age of drivers (16 to 30 years old-41.1%), 4) Education (diploma and high school-60.1%), and 5) Gender (males-82.2%). The victims of traffic accidents are mostly males and young people.
Conclusion: Therefore, preventive measures and targeted interventions should be considered to reduce the risk of being involved in crashes.
Materials and Method: In this retrospective study, traffic accidents information recorded by the traffic police of Yazd city during 2016-2018 were used. The data were described using mean, standard deviation, frequency and frequency percentage indices and also independent sample t-test, chi-square and logistic regression were used to analyze the data. All analyses were conducted in SPSS 20 software with a significance level of 0.05.
Result: The total number of people involved in these accidents were 2082 people, including 25 (1.2%) cyclists, 624 (30%) motorcyclists, 183 (8.8%) pedestrians, 321 (15.4%) passengers, and 929 (44.6%) vehicle drivers. Accidents were associated with 1) Types of involved vehicles (light vehicles-58%), 2) Occurrence time (4-8 p.m.-28.9%), 3) Age of drivers (16 to 30 years old-41.1%), 4) Education (diploma and high school-60.1%), and 5) Gender (males-82.2%). The victims of traffic accidents are mostly males and young people.
Conclusion: Therefore, preventive measures and targeted interventions should be considered to reduce the risk of being involved in crashes.
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