Relationship between using cell phone and the risk of accident with motor vehicles: An analytical cross-sectional study

• 作者: Almasi Seyed Ahmad Almasi Seyedeh Zeinab Ansari-Mogaddam Alireza Dalvand Sahar Kogani Mohammad Okati-Aliabad Hassan Tabatabaee Seyed Mehdi
• 来源期刊: 中华创伤杂志英文版
• 关键词: Drug use Cell phone use Traffic accidents Risk factors
• 年，卷（期）: 2020,（6）
• 所属期刊栏目: Original Article
• 页码范围: 319-323
• 页数: 5页
• 语种: 中文
• DOI: 10.1016/j.cjtee.2020.08.002

摘要

Purpose::Traffic accidents are one of the major health problems in the world, being the first cause of burden of illness and the second leading cause of death in Iran. The Sistan-Baluchestan province is one of the most accidental provinces of Iran with the highest rate of accidents-caused deaths. This study was conducted to determine the risk factors associated with traffic accidents in Zahedan through 2013 to 2016.Methods::This analytical cross-sectional study was carried out on 223 drivers from Zahedan who were traumatized by traffic accident and sent to Zahedan hospitals. The data were obtained through interviews taken by the trained interviewers via refereeing to the medical records and collected in the researcher-made checklist. Census was obtained from the study subjects. For data analysis, independent t-test, one-way ANOVA, Chi-square and logistic regression were used with the Stata software version 11.0. Results::In this study, 223 male subjects with the mean age of (32.54 ± 12.95) years, 39.8% single and 60.2% married, entered for investigation. Most accidents (38.8%) occurred between 12:00 to 17:59. While driving, 47.1% of the study subjects were using cell phones, 89.1% had manual use of mobile phones, 21.9% had a habit of sending short message service (SMS) and 23.4% had sent SMS within 10 min before the accident. The one way analysis of variance showed that the mean age of individuals with marital status, driving experience, education and accident with motorcycle were significantly different ( p < 0.05). Also, the multivariate logistic regression test indicated a significant relationship of smoking, ethnicity, insurance and SMS typing while driving with motorcycle accident ( p < 0.05). Conclusion::In this study, SMS and smoking while driving had the highest risk among the variables studied in the motorcycle accidents. Therefore, effective education attempting to enhance people's awareness about the consequences of using cell phone and smoking during driving to reduce traffic accidents seems necessary.