The Prevalence of Helmet Use and Predictive Factors Among Motorcyclists in Shahrekord, Iran in 2018

Abstract

Background and aims: Motorcycle accidents are a major concern for countries. One of the most important risk factors for motorcyclists is the lack of helmet use. This study aimed to measure the rate of the helmet use and predictive factors in Shahrekord, Iran. Methods: Using simple random sampling method, this cross-sectional study was conducted in 2018 with a sample size of 350 motorcyclists. A researcher-made questionnaire was used to collect data, and the SPSS software version 24 was used to analyze the data. Results: The mean age of participants was 28.8 ± 10.1 years. Out of 350 participants, 15.1% and 1.4% of motorcyclists and their passengers used helmets. The most important predictors of helmet use were age more than 35 years, high education, and having a driving license. The most important reason for using the helmet was protection against injuries in accidents. Conclusion: According to our results, the rate of helmet use was low. Thus, more efforts should be made to intervene and train for the helmet use among community members with an emphasis on younger people, individuals with governmental jobs, and people with lower education level.