睡眠和体力活动数据与泰国老年人的抑郁症状之间的关联
Hathairat Kosiyaporn1, Jiranun Thiphong1, Orratai Waleewong1
1International Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.
PloS one
|August 14, 2025
概括
智能设备的被动感应显示出在泰国检测老年抑郁症的潜力. 增加体力活动与较低的抑郁症得分相关,这表明一种新的查方法.
科学领域:
- 老年学是一门学科.
- 数字健康数字健康
- 心理健康研究 心理健康研究
背景情况:
- 老年人的抑郁症往往由于查的局限性而被诊断不足.
- 与衰老和回忆偏差重叠的症状使传统评估复杂化.
- 被动感应提供了一种新的方法来检测老年人的抑郁症.
研究的目的:
- 探索泰国老年人被动感应数据和抑郁症得分之间的关联.
- 为了验证智能设备数据对抑郁查的有效性.
- 调查身体活动和睡眠特征作为潜在的抑郁症指标.
主要方法:
- 一项前性队列研究,包括177名泰国老年参与者 (≥60岁).
- 通过Actigraph wGT3X-BT收集的身体活动和睡眠数据.
- 每两周使用患者健康问卷 (PHQ-9) 进行抑郁症查.
- 进行了单变量和多变量回归分析.
主要成果:
- 身体活动,包括矢量大小 (VM CPM) 和步数,与较低的PHQ-9分数有显著的关联.
- 睡眠开始后的清醒 (WASO) 与PHQ-9有单变的关联,但在调整后没有.
- 生活在曼谷以外的地方和年轻的年龄与较低的抑郁症得分相关.
结论:
- 被动传感数据有可能在泰国用于心理健康应用.
- 需要进一步的研究来提高传感器的准确性,并开发抑郁症的预测算法.
- 建议探索智能设备数据对公共卫生政策的影响.
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