从休息到崩:通过潜在的个人资料分析来识别大学睡眠模式
1State University of New York (SUNY), Brockport, USA.
Journal of American college health : J of ACH
|November 3, 2025
概括
研究人员确定了五个不同的本科生睡眠概况,从"伟大的"睡眠者到"高风险行为"群体. 了解这些不同的睡眠模式可以帮助创造有针对性的干预措施,以改善学生的睡眠和功能.
科学领域:
- 睡眠科学 睡眠科学
- 心理学 心理学 心理学
- 高等教育 高等教育
背景情况:
- 本科生经常面临严重的睡眠挑战.
- 现有的研究缺乏对不同本科生睡眠状况的详细分类.
研究的目的:
- 将本科生分为不同的睡眠特征.
- 检查睡眠和与睡眠相关的指标,以确定个人资料.
主要方法:
- 使用了潜伏特征分析.
- 在642名本科生中分析了19个指标变量.
- 数据包括睡眠障碍,行为,智能手机使用和时间型.
主要成果:
- 确定了五个独特的本科生睡眠概况:"伟大"",平均"",贫穷"",贫穷,但有良心"和"高风险行为".
- 确定了每个配置文件的流行率.
- 突出了区分个人资料的关键特征,包括睡眠自我有效性,睡眠卫生,睡眠障碍和物质使用.
结论:
- 在本科生睡眠概况之间存在显著差异.
- 这些分类可以为开发有针对性的干预提供信息.
- 干预措施可以改善本科生睡眠和整体功能.
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