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Omid Garkaz, Mirsadegh Mohamadi, Hamid Reza Mehryar, Hamid Reza Khalkhali, Shaker Salari Lak,
Volume 7, Issue 4 (12-2019)
Abstract

  • Introduction: Car accidents are the most common accidents and one of the major health problems endangering the health of society. In fact, they are predictable and preventable events that can cost lives and money. The identification of the factors that influence these events can help control and reduce them. The present study aimed to identify the effective factors in the occurrence of road accidents in West Azerbaijan, Iran, during 2010-2016.
  • Methods: All the traffic accident data recorded by the traffic police of West Azerbaijan during 2010-2016 were used in this cross-sectional study. The data were analyzed descriptively by the Chi-square test and analytically using SPSS software (version 16) and time series using Minitab (version 17).
  • Results: The data of 79,296 registered accidents were included in the study. Most accidents were reported among males (93.9%) and high school education holders (56%), during 12-18 p.m. (39%) and the day (62%), by light vehicle (65%), disregarding longitudinal and transverse distance (63%), and resulting in damage (53%).
  • Conclusions: There was a higher frequency of traffic accidents among male drivers holding a diploma. Further investigations are required to determine the contribution of each of the risk factors and plan for the prevention of accidents.

Omid Garkaz, Hamid Reza Khalkhali, Hamid Reza Mehryar, Shakar Salari Lak,
Volume 8, Issue 1 (4-2020)
Abstract

  • Introduction: nowadays, one of the most important risks threatening the community health promotion and development is increasing the number of accidents. The aim of this study was to evaluate the demographic characteristics of people injured by driving accidents and admitted to Imam Khomeini Hospital of Urmia in 2016.
  • Methods: This cross-sectional and retrospective study was conducted using the census method. It was conducted on all road accident patients hospitalized in Imam Khomeini Hospital of Urmia in 2016. A total of 2050 records were reviewed and 2015 of them were included in the study. Data were collected using a checklist in which demographic and accidental data of the injured people were recorded. Data were analyzed using descriptive statistics (frequency distribution tables, central indicators, and dispersion).
  • Results: The mean age of the subjects was 33.63± 18.53 years. Most of the injured people were male (73.2%) and self-employed (46.8%). The majority of females were housewives (70.8%). In two gender groups, most accidents occurred on the streets and within the city. Moreover, 48.1% of injured people were male and 48.1% of females were transferred to the hospital by emergency department and 56 (0.20%) of injured people died before discharge from the hospital.
  • Conclusion: Most accidents occurred on the streets and within the city and among males, low education, and self-employed people. Hence, this group of people should be in priority in designing and implementing a variety of educational interventions.


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