去健身房或去睡觉:晚上运动的特点可以预测健康成年人的睡眠受损吗?
Dean J Miller1, Gregory D Roach1, Michele Lastella1
1The Appleton Institute for Behavioural Science, Central Queensland University, Wayville, SA, Australia.
Frontiers in physiology
|August 14, 2023
概括
对于大多数人来说,晚上炼可能不会影响睡眠. 新的算法预测睡眠受损,允许基于个人和睡眠特征的个性化炼建议.
科学领域:
- 睡眠科学 睡眠科学
- 运动生理学 运动生理学
- 可穿戴技术可穿戴技术
背景情况:
- 最近的睡眠指导方针对晚间炼提供了更细致的观点,远离了严格的禁令.
- 可穿戴技术为公众提供了有关运动和睡眠模式的可访问数据.
- 个体特征和运动习惯会影响睡眠质量.
研究的目的:
- 开发和评估算法,预测晚间炼是否会影响后续睡眠.
- 检查睡眠,运动和个体特征在预测睡眠妥协中的作用.
- 提供数据驱动的洞察力,提供有关晚上体育活动的个性化睡眠建议.
主要方法:
- 利用了5,250名参与者 (WHOOP 3.0可穿戴设备) 关于晚上炼和睡眠的数据.
- 对女性和男性的数据分别进行分析,将数据集分为培训 (75%) 和测试 (25%) 的子集.
- 训练有素的机器学习算法可以根据运动强度,持续时间和时间来识别睡眠受损 (睡眠效率<90%).
主要成果:
- 算法实现了高灵敏度 (87%的女性,90%的男性) 和负预测值 (85%的女性,79%的男性) 的睡眠损害.
- 具体性和积极预测值较低,表明虚假阳性的可能性.
- 预计应用表明,女性可以在晚上约25%的时间炼,睡眠损失约15%,男性可以在晚上约17%的时间炼,睡眠损失约21%.
结论:
- 机器学习模型有效地根据个人,运动和习惯性睡眠数据预测睡眠受损的夜晚.
- 这些算法为晚上炼提供了通用睡眠卫生指南的潜在替代方案.
- 个性化预测可以帮助个人平衡晚间炼的好处与潜在的睡眠成本.
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