| 中学生线上社交焦虑与抑郁症状和睡眠质量的关联 |
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| 引用本文： | 刘致宏,张珊珊.中学生线上社交焦虑与抑郁症状和睡眠质量的关联[J].中国学校卫生,2022,43(1):77-81+86. |
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| 作者姓名： | 刘致宏 张珊珊 |
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| 作者单位： | 沈阳师范大学教育科学学院，辽宁 110034 |
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| 基金项目： | 全国教育科学规划教育部重点项目(DHA210344)； |
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| 摘 要： | 目的 识别中学生线上社交焦虑的潜在类别，并进一步分析不同潜类别与抑郁症状、睡眠质量的关联。 方法 于2020年10—12月，采用方便整群随机抽样方法选取辽宁省4所中学1 402名初、高中学生，采用线上社交焦虑问卷(SAS-SMU)、流调中心抑郁量表(CES-D)和匹兹堡睡眠质量指数(PQSI)进行问卷调查，对数据进行潜在剖面分析及Logistic回归分析。 结果 中学生线上社交焦虑分为低线上社交焦虑型(47.00%，659名)、中线上社交焦虑型(43.37%，608名)和高线上社交焦虑型(9.63%，135名)3个潜在类别。Logistic回归分析结果显示，控制人口学变量后，中线上社交焦虑型和高线上社交焦虑型与抑郁症状(β值分别为1.22，2.23，P值均 < 0.01)和睡眠质量(β值分别为0.85，1.68，P值均 < 0.01)均呈正相关。 结论 中学生的线上社交焦虑存在异质性。学校和家庭应关注线上社交焦虑水平较高的中学生，防止出现抑郁症状和睡眠问题，促进心理健康发展。
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| 关 键 词： | 焦虑 抑郁 睡眠 精神卫生 回归分析 学生 |
| 收稿时间： | 2021-07-02 |
Association between online social anxiety in middle students with depressive symptoms and sleep quality |
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| Affiliation: | College of Education Science, Shenyang Normal University, Shenyang (110034), China |
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| Abstract: | Objective To identify the latent classes of various online social anxiety among middle school students and further analyze its correlation with depressive symptoms and sleep quality. Methods From October to December in 2020, a total of 1 402 students were randomly selected from 4 middle schools in Liaoning Province by convenient cluster random sampling method. Students completed the Social Anxiety Scale for Social Media Users(SAS-SMU), the Center for Epidemiologic Studies Depression Scale(CES-D) and Pittsburgh Sleep Quality Index(PSQI). Latent Profile Analysis(LPA) was used to identify online social anxiety types. Logistic regression analysis was used to explore the associations between online social anxiety, sleep quality. Results Online social anxiety among middle school students was classified into three potential categories: low online social anxiety type (47.00%, 659), medium online social anxiety type (43.37%, 608), and high online social anxiety type(9.63%, 135). Logistic regression analysis revealed that after controlling for demographic variables, medium online social anxiety type and high online social anxiety type significantly and positively predicted depressive symptoms (β=1.22, 2.23, P < 0.01) with sleep quality (β=0.85, 1.68, P < 0.01). Conclusion There is heterogeneity in online social anxiety among middle school students. Schools and families should pay attention to middle school students with high levels of online social anxiety to prevent depressive symptoms and sleep problems and to promote psychologically healthy development. |
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