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深圳市中小学生道路交通伤害及其影响因素分析 被引量:9

Analysis of incidence of traffic injury and its associated factors among primary and middle school students in Shenzhen
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摘要 目的了解深圳市中小学生道路交通伤害发生情况及相关影响因素,为减少青少年道路交通伤害的发生提供参考。方法采用分层整群抽样的方法,抽取深圳市18所学校共4 871名学生进行道路交通伤害发生情况问卷调查,运用多因素Logistic逐步回归分析筛选影响因素。结果近1年内中小学生交通伤害发生率为5.75%(280/4 871)。小学生交通伤害发生率最高(8.88%),其次为初中生(5.09%),高中生交通伤害发生率最低(3.22%),差异有统计学意义(P〈0.01)。多因素Logistic回归分析结果显示,小学(初中与之比较:OR=0.534,95%CI=0.380~0.749;高中与之比较:OR=0.314,95%CI=0.213~0.464)、肥胖(OR=1.855,95%CI=1.225~2.809)、大家庭(OR=1.463,95%CI=1.103~1.941)、步行(OR=1.750,95%CI=1.116~2.746)、骑自行车上学(OR=3.636,95%CI=2.015~6.560)、违反交通规则次数多(OR=1.343,95%CI=1.167~1.546)、校内人车道不分开(OR=1.433,95%CI=1.110~1.850)学校学生更倾向于发生交通伤害,学校有专人维护校周交通秩序(OR=0.818,95%CI=0.698~0.958)、所乘校车无超载情况(OR=0.483,95%CI=0.330~0.706)是交通伤害的保护因素。结论深圳市中小学生道路交通伤害发生情况不容忽视,多种因素影响交通伤害发生。应采取针对性的干预措施,以减少学生交通伤害的发生。 Objective To investigate incidence of traffic injury and its associated factors among primary and middle school students in Shenzhen, and to provide references for reducing the incidence of traffic injury among adolescents. Methods By stratified cluster sampling, 4 871 students from 18 schools were recruited and investigated. The multivariate stepwise Logistic regression was used to analyze possible associated factors. Results The incidence rate of traffic injury was 5. 75%( 280 / 4 871) in the last year. The incidence rate was highest for primary school students( 8.88%), followed by that of junior high school students( 5.09%),and that of high school students( 3.22%). The difference was statistically significant in three groups( P〈0.01). The multivariate logistic regression analysis showed that being primary school students( junior high school students vs. primary school students: OR =0.534, 95%CI = 0.380-0.749; high school students vs. primary school students: OR = 0.314, 95%CI = 0.213-0.464), obesity( vs.normal weight: OR = 1. 855, 95% CI = 1. 225- 2. 809), living in big family( vs. nuclear family: OR = 1. 463, 95% CI = 1. 103-1.941), walking / biking to school( walking vs. others' driving: OR = 1. 750, 95% CI = 1. 116- 2. 746; biking to school vs. others 'driving: OR = 3.636, 95%CI = 2.015-6.560), violating traffic rules( OR = 1.343, 95%CI = 1.167-1.546), having no separate lanes in school( OR = 1.433, 95%CI = 1.110-1.850), having overloaded school bus( OR = 2.072,95%CI = 1.417-3.029), were risk factors for traffic injury. However, having someone to maintain traffic order around the school( OR = 0.818, 95%CI = 0.698-0.958) was a protective factor for traffic injuries. Conclusion Traffic injuries among primary and middle school students in Shenzhen should not be ignored. A variety of factors might affect traffic injuries. Targeted interventions should be adopted to prevent students' traffic injuries.
出处 《中国学校卫生》 CAS 北大核心 2016年第7期1075-1078,共4页 Chinese Journal of School Health
关键词 事故 交通 创伤和损伤 回归分析 学生 Accidents traffic Wounds and injuries Regression analysis Students
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