根据部分最小平方回归和XGBoost,确定与本科生睡眠质量相关的影响因素
Yuchen Xie1, Yuan Chen2, Yaohui Han2
1Publicity Department, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Frontiers in psychology
|January 28, 2026
概括
睡眠质量差影响了26.5%的本科生,心理健康,智能手机使用和宿舍环境是关键因素. 干预措施应针对这些领域,以改善大学生睡眠健康.
科学领域:
- 公共卫生 公共卫生
- 心理学 心理学 心理学
- 数据科学数据科学数据科学
背景情况:
- 中国江苏的本科生面临着严重的睡眠质量挑战.
- 在被调查人群中,睡眠质量差的患病率为26.5%.
- 各种因素与睡眠质量之间的复杂关系需要先进的分析方法.
研究的目的:
- 确定影响中国本科生睡眠质量的因素.
- 探索这些因素与睡眠质量之间的复杂线性和非线性关系.
- 为大学环境中促进睡眠健康提供经验基础.
主要方法:
- 在7,062名本科生中进行了横截面在线调查.
- 匹兹堡睡眠质量指数 (PSQI) 用于评估睡眠质量.
- 部分最小平方回归 (PLSR),极端梯度提升 (XGBoost) 和夏普利添加式扩展 (SHAP) 用于数据分析.
主要成果:
- 良好的心理健康,心理性和和的关系与更好的睡眠质量有积极的相关性.
- 智能手机的依赖,喧的宿舍环境,吸烟和饮酒与睡眠质量低下有关.
- 在XGBoost模型中,AUC达到0.818;SHAP分析显示出非线性模式,包括BMI与睡眠质量之间的U形关系.
结论:
- 一个集成的PLSR-XGBoost框架有效地分析了复杂的睡眠质量决定因素.
- 研究结果支持针对心理健康,智能手机使用,宿舍环境和弹性建设的有针对性的干预措施.
- 这项研究为大学的睡眠健康倡议提供了坚实的经验基础.
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