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目的了解中学生伤害发生情况及其与睡眠问题之间的相关性,为制定中学生伤害发生策略提供参考。方法采用分层整群抽样的方法,抽取沈阳市于洪区3 477名在校中学生为研究对象,收集一般人口统计学指标、伤害、睡眠问题等资料。采用χ2检验比较不同组别中学生伤害检出率的差异,利用t检验比较有无伤害组匹兹堡睡眠质量指数量表(PSQI)各因子得分及总分的差异,并建立多因素非条件Logistic回归模型分析睡眠问题及各因子对中学生伤害发生的影响。结果中学生睡眠问题的检出率为17.6%,男生(16.6%)低于女生(18.5%),差异无统计学意义(χ2=2.16,P>0.05)。中学生过去1 a伤害的报告率为30.2%,男生报告率(34.3%)高于女生(26.8%),初中生(36.2%)高于高中生(25.3%),差异均有统计学意义(χ2值分别为22.96,48.39,P值均<0.01)。伤害组睡眠质量、入睡时间、睡眠紊乱、日间功能障碍以及PSQI总分均高于无伤害组,差异均有统计学意义(P值均<0.01)。多因素Logistic回归分析显示,睡眠质量、入睡时间、睡眠紊乱、日间功能障碍以及总睡眠问题较高组发生伤害的风险增加(P值均<0.01)。结论中学生存在睡眠问题会增加伤害发生的风险,积极改善中学生睡眠状况对伤害的防控具有十分重要的意义。
Objective To understand the correlation between secondary school students ’injuries and their sleep problems, and to provide a reference for developing secondary school students’ injuries. Methods A stratified cluster sampling method was used to collect 3 477 middle school students in Yuhong District of Shenyang City for the research object and collect general demographic indicators, injuries and sleep problems. The χ2 test was used to compare the differences in the detection rate of injury among different groups. Student’s t-test was used to compare the scores of the Pittsburgh Sleep Quality Index (PSQI) score and total score, and to establish the multivariate non-conditional Logistic regression model Analysis of sleep problems and the impact of various factors on the occurrence of secondary school injuries. Results The detection rate of middle school students’ sleep problems was 17.6%, while that of boys (16.6%) was lower than that of girls (18.5%). There was no significant difference between them (χ2 = 2.16, P> 0.05). The reported rate of secondary school students in the past 1 year was 30.2%, that of boys (34.3%) was higher than that of girls (26.8%), that of junior high school students (36.2%) was higher than that of high school students (25.3%), the difference was statistically significant Values were 22.96,48.39, P values were <0.01). The quality of sleep injury, sleep time, sleep disturbance, daytime dysfunction and PSQI score in injury group were all higher than those in non-injury group, the difference was statistically significant (P <0.01). In the multivariate Logistic regression analysis, there was an increased risk of injury during sleep quality, sleep time, sleep disturbance, daytime dysfunction and higher total sleep problems (P <0.01). Conclusions The existence of sleep problems in middle school students can increase the risk of injury and improve the prevention and control of injuries in secondary school students.