Epidemiology article of motorcycle injuries in Khalkhal city in 2018- 2019

Abstract

Introduction: Injuries from traffic accidents as predictable and preventable events are one of the most important health problems in the world and most of them are for young people. Therefore, due to the importance of traffic accidents and the role of motorcyclists in this field, this study was conducted to investigate the epidemiology of motorcyclist injuries in 21 March 2018- 20 march 2019 in Khalkhal. Materials and Methods: This cross-sectional study was performed on 107 people who were injured in motorcycle traffic accidents at Khalkhal hospital in 21 March 2018- 20 march 2019. For statistical analysis of Stata version 15 and SPSS version 24 with significance level P <0.05 using binomial tests, one-sample chi-square, chi-square based on Monte Carlo simulation and multiple logistic regression. Simple and sequential simple surfaces were used with and without moderating the effect of other variables. Results: The highest and lowest accident rates were related to September and December respectively and the highest cause of accidents were due to non-compliance with motorcycle priority. Based on simple and multilevel regression with and without effect modification, those who had a car accident type were 10 times more likely to be deployed than those in reverse (P = 0.027). Working rabbits had 10 times more chance of fractured spinal cord injury (P <0.001) and unemployed rabbin were 2.07 times more likely to break fracture (P <0.001). The median income level of motorcycle racer injuries was 8.91 times higher than those with high income levels (P <0.001). Also, regression analysis showed that the probability of serious injury in the noncertified rabbis was 56% higher than those with a certificate (P = 0.007), the uninsured rabbis were 38% more likely than the uninsured (P = 0.027) and Rural residents were 58% more urban than urban residents (P = 0.015). Conclusion: This study showed that increased risk behaviors such as lack of insurance, certificate and low socioeconomic status can be risk factors for traffic accidents.