在中国的高中学生中开发和验证睡眠质量差的风险预测模型
Miaomiao Zhang1, Ying Zhou1, Xu Wang2
1Nursing Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Nursing, Shanghai, 201620, China.
Scientific reports
|December 29, 2025
概括
睡眠质量不佳会影响高中学生的健康和学习. 这项研究开发了一个预测模型来识别有风险的学生,帮助早期干预改善睡眠健康.
科学领域:
- 公共卫生 公共卫生
- 青少年健康 青少年健康
- 睡眠医学 睡眠医学
背景情况:
- 睡眠质量差是高中学生的重大健康问题,影响学业成绩和整体幸福感.
- 早期识别有睡眠不足风险的学生对于实施及时干预至关重要.
研究的目的:
- 开发和验证一种风险预测模型,用于识别中国高中学生的睡眠质量不佳.
- 为学校和家长提供一个工具,以识别高风险个体并促进有针对性的干预.
主要方法:
- 通过问卷调查,对4793名中国高中学生进行了横截面研究.
- 数据分为训练 (70%) 和验证 (30%) 集,用于使用后勤回归的模型开发.
- 模型使用接收器运行特征曲线 (AUC),校准图和Hosmer-Lemeshow测试进行验证.
主要成果:
- 24.2%的学生报告睡眠质量不佳.
- 确定的主要危险因素包括焦虑,抑郁,学术压力,咖啡因/酒精消费,吸烟,深夜饮食,晚睡时间,睡眠环境不佳,过度使用屏幕.
- 开发的预测模型表现良好,AUC值为0.862 (训练) 和0.853 (验证).
结论:
- 经过验证的基于名录的预测模型有效地识别了高中高年级学生的睡眠质量差的风险.
- 这个模型可以帮助教育机构在早期发现和干预策略,以改善学生的睡眠健康.
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