孙力菁, 周月芳, 张喆, 齐文娟, 翟娅妮, 罗春燕. 上海市初中生抑郁症状和睡眠质量的相关性[J]. 环境与职业医学, 2022, 39(10): 1128-1133. DOI: 10.11836/JEOM22035
引用本文: 孙力菁, 周月芳, 张喆, 齐文娟, 翟娅妮, 罗春燕. 上海市初中生抑郁症状和睡眠质量的相关性[J]. 环境与职业医学, 2022, 39(10): 1128-1133. DOI: 10.11836/JEOM22035
SUN Lijing, ZHOU Yuefang, ZHANG Zhe, QI Wenjuan, ZHAI Yani, LUO Chunyan. Correlation between depressive symptoms and sleep quality among middle school students in Shanghai[J]. Journal of Environmental and Occupational Medicine, 2022, 39(10): 1128-1133. DOI: 10.11836/JEOM22035
Citation: SUN Lijing, ZHOU Yuefang, ZHANG Zhe, QI Wenjuan, ZHAI Yani, LUO Chunyan. Correlation between depressive symptoms and sleep quality among middle school students in Shanghai[J]. Journal of Environmental and Occupational Medicine, 2022, 39(10): 1128-1133. DOI: 10.11836/JEOM22035

上海市初中生抑郁症状和睡眠质量的相关性

Correlation between depressive symptoms and sleep quality among middle school students in Shanghai

  • 摘要: 背景

    成年人群中抑郁和睡眠质量的相关性已很明确,但在青少年人群中缺少证据。

    目的

    研究上海市初中生睡眠质量情况和抑郁症状的检出率以及两者的相关性,为学生心理健康和睡眠管理工作提供依据。

    方法

    采用多阶段分层整群随机抽样方法,在2020年9—11月间抽取上海市16个区、32所初中,共计7796名初中学生进行问卷调查。使用2020年度上海市学生常见病和健康影响因素监测的初中部分问卷调查学生的人口学信息、吸烟史、饮酒史和慢性疾病史,使用匹兹堡睡眠质量指数量表进行睡眠质量调查,流调中心用抑郁量表进行抑郁症状调查。运用χ2检验进行定性资料组间比较,二元logistic回归分析上海市初中生睡眠时间质量和抑郁症状的相关性。

    结果

    剔除作答不完整的问卷后,最终获得的有效样本量为7160份。上海地区初中生的睡眠时间为(7.54±1.15)h。其中84.8%的学生睡眠时间<9 h,仅有15.2%的学生睡眠时间≥9 h。9.2%的学生睡眠质量差(匹兹堡睡眠质量指数量表评分≥8分)。城区学生睡眠质量较郊区更差,女生的睡眠质量差于男生,初三年级比初一、初二年级学生睡眠质量差,有吸烟史、饮酒史、慢性疾病史的学生睡眠质量较无以上情况的学生更差(P<0.05)。上海市初中生抑郁症状检出率为22.2%,其中有7.0%的学生可能有抑郁症状,有15.2%的学生肯定有抑郁症状。女生(26.1%)抑郁症状检出率高于男生(18.5%);从各年级来看,初三年级学生的抑郁症状检出率最高为24.1%;有吸烟史、饮酒史和慢性疾病史的学生抑郁症状检出率更高;睡眠质量差的学生抑郁症状检出率较高(P<0.05)。logistic回归分析结果显示,睡眠质量差的学生的抑郁症状发生风险是睡眠质量好的学生的17.064(14.024~20.764)倍。

    结论

    上海地区初中生睡眠质量差和抑郁症状检出率较高,中学生抑郁症状检出率和睡眠质量有明显的相关性。对于学生心理健康和睡眠管理工作,应在关注学生睡眠的量的同时,也加大对睡眠的质的关注。

     

    Abstract: Background

    The correlation between depression and sleep quality is well established in adults, but similar evidence is lacking in adolescents.

    Objective

    To study the sleep quality, the positive rate of depressive symptoms, and their correlation among middle school students in Shanghai, so as to provide a basis for providing mental health and sleep management to this group of students.

    Methods

    From September to November 2020, using multi-stage stratified cluster random sampling method, a total of 7796 students from 32 middle schools in 16 districts of Shanghai were selected to conduct a questionnaire survey. The questionnaire for middle school students of the 2020 Shanghai Students’ Common Diseases and Health Influencing Factors Surveillance was used to collect students' demographic information, history of smoking, history of drinking, and history of chronic diseases; the Pittsburgh Sleep Quality Index was used to assess sleep quality; and the Center for Epidemiological Studies Depression Scale was used to evaluate depressive symptoms. χ2 test was used to compare qualitative data between groups. Binary logistic regression was used to analyze the correlation between sleep quality and depressive symptoms among middle school students in Shanghai.

    Results

    After excluding incomplete questionnaires, a total of 7160 valid questionnaires were collected. The average sleep time of middle school students in Shanghai was (7.54±1.15) h. Among them, 84.8% reported insufficient sleep time < 9 h, and only 15.2% reported sleep time ≥9 h. In addition, 9.2% of the students had poor sleep quality (Pittsburgh Sleep Quality Index ≥8 points). The sleep quality of urban students was worse than that of suburban students. The sleep quality of girls was worse than that of boys. The sleep quality of students in the third grade of middle school was worse than that of students in the first and second grades of middle school. Students with smoking history, drinking history, and chronic disease history had worse sleep quality than those without (P<0.05). The positive rate of depressive symptoms among middle school students in Shanghai was 22.2%, among which 7.0% reported possible depressive symptoms and 15.2% reported definite depressive symptoms. The positive rate of depressive symptoms in female students (26.1%) was higher than that in male students (18.5%); among different grades of middle school, the positive rate of depressive symptoms of the third grade middle school students was the highest (24.1%); the positive rates of depressive symptoms in students with smoking history, drinking history, and chronic disease history were higher than those without; the positive rate of depressive symptoms was higher in students with poor sleep quality (P<0.05). The results of logistic regression analysis indicated that the students with poor sleep quality showed higher risks of reporting depressive symptoms, and the OR (95%CI) was 17.064 (14.024-20.764).

    Conclusion

    The positive rates of poor sleep quality and depressive symptoms of middle school students in Shanghai are high, and there is a significant correlation between these two indicators. For students’ mental health and sleep management, more attention should be paid to the quality in addition to the quantity of sleep.

     

/

返回文章
返回