基于倾向评分匹配法分析大学生无聊感对失眠症的影响

目的 了解不同群体大学生无聊感和失眠症现状,基于倾向评分匹配法分析大学生无聊感对失眠症的影响。方法 采用现况研究对以班级为单位便利抽样法选取的905名大学生进行多维状态无聊量表中文版-大学生修订版、阿森斯失眠量表、抑郁自评量表、焦虑自评量表和基本资料调查,利用1∶1 倾向评分匹配控制干扰变量后纳入失眠症和非失眠症各317名。结果 倾向评分匹配后失眠症和非失眠症的干扰变量均无统计学意义（P>0.05）,无聊感区分失眠症ROC曲线下面积为0.780,最大约登指数对应的截断值85.5分,无聊感总分≥85.5分为高无聊感,预测失眠症的灵敏度66.9%、特异度75.1%、阳性预测值72.9%、阴性预测值69.3%。42.5%大学生处于失眠症状态,44.1%大学生处于高无聊状态。倾向评分匹配前无聊感（OR=4.613）、工学专业（OR=2.363）、理学专业（OR=1.881）、文学专业（OR=2.141）、恋爱（OR=1.571）、抑郁（OR=2.250）、焦虑（OR=4.803）是失眠症的独立危险因素;倾向评分匹配后高无聊感（OR=6.083）的失眠症风险高于低无聊感。结论 大学生高无聊感组比例高,失眠症发生率高,无聊感≥85.5分是失眠症的危险因素,应重视大学生失眠症和无聊感的针对性干预。

Influence of Boredom on Insomnia in College Students Based on Propensity Score Matching

Objective To analyze the current situation of boredom and insomnia in different groups of college students, and to explore the influence of boredom on insomnia based on propensity score matching (PSM). Methods We conducted a prevalence study, and 905 college students selected by convenient sampling with class as the unit were investigated using the Chinese Version of the Multidimensional State Boredom Scale, Athens Insomnia Scale, Self-rating Depression Scale, Self-rating Anxiety Scale, and general information questionnaire. A total of 317 college students with insomnia and 317 college students with non-insomnia were included by 1∶1 PSM. Results After PSM, the interference variables of insomnia and non-insomnia were not statistically significant (P>0.05). The area under the ROC curve of boredom was 0.780, and the cut-off value 85.5. The total score of boredom ≥85.5 was identified as high boredom, with sensitivity and specificity of 66.9%, and 75.1% respectively. The positive predictive value was 72.9%, and the negative predictive value 69.3%. Insomnia was found in 44.1% of the college students and high boredom in 42.5% of the college students. Before PSM, boredom (OR=4.613), engineering (OR=2.363), science (OR=1.881), literature (OR=2.141), falling in love (OR=1.571), depression (OR=2.250) and anxiety (OR=4.803) were independent risk factors for insomnia. After PSM, the risk of insomnia in students with high boredom (OR=6.083) was higher than that in students with low boredom. Conclusion The proportion of college students with high boredom is high, as well as the incidence of insomnia. Boredom ≥85.5 is risk factors for insomnia. Targeted intervention for insomnia and boredom in college students should be considered.