印度尼西亚中央爪的年轻人中自主功能分类和睡眠质量:一个集群分析.
Vivi Leona Amelia1,2, Chia-Hui Wang1, Nurina Jihan Yulianti3
1School of Nursing, College of Nursing, Taipei Medical University, Taipei City 110, Taiwan.
Preventive medicine reports
|March 24, 2025
概括
自主神经系统 (ANS) 档案被聚集在一起,以了解年轻成年人的睡眠质量. 特定的ANS模式与良好的睡眠质量和不良睡眠质量有关,为健康计划提供了信息.
科学领域:
- 生理学 生理学 生理学
- 睡眠科学 睡眠科学
- 心血管健康 心血管健康
背景情况:
- 睡眠质量与自主神经系统 (ANS) 功能密切相关.
- 睡眠中断通常意味着ANS内潜在的失调.
- 识别与睡眠质量相关的独特的自主功能配置文件对于有针对性的干预至关重要.
研究的目的:
- 确定和描述与年轻成年人睡眠质量相关的自主功能概况.
- 利用集群分析来揭示与不同睡眠质量水平相对应的自主神经系统活动模式.
- 为开发改进的睡眠质量评估方法和实施健康促进战略提供基础.
主要方法:
- 一项涉及437名年龄在18-26岁的人的横截面研究,在印度尼西亚的Banyumas地区.
- 使用心率变化 (HRV) 参数 (LF,VLF,HF频段) 评估自主功能.
- 用匹兹堡睡眠质量指数 (PSQI) 评估睡眠质量,并使用k-means集群分析和轮方法进行分析.
主要成果:
- 在参与者中确定了五个不同的自主功能集群.
- 三个集群 (n=381) 与睡眠质量不佳有关,表现出交感神经系统 (SNS) 和副交感神经系统 (PNS) 活动的不同模式.
- 两个群体 (n=56) 与良好的睡眠质量有关,其特点是高/低ANS,SNS和PNS活动的特定组合.
结论:
- 不同的自主功能特征与年轻人的不同程度的睡眠质量有关.
- 了解这些集群对于推进睡眠质量测量技术至关重要.
- 这项研究支持开发针对睡眠和自主平衡的有效健康促进计划.
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