智能手表衍生的数字现象与患有精神病谱障碍的患者的精神病理维度有关:纵向观察性研究
Vasiliki Garyfalli1,2, Emmanouil Kalisperakis1,2, Alexandros Smyrnis1,3
1Laboratory of Cognitive Neuroscience and Sensorimotor Control, University Mental Health Research Institute, Athens, Greece.
使用可穿戴设备的数字表型化显示了与精神疾病症状维度相关的特定行为变化. 这为个人化医学的远程监测和生物标志物发现提供了新的途径.
科学领域:
- 精神病学和数字健康
- 个性化医疗是个性化的医疗.
- 生物标志物研究 生物标志物研究
背景情况:
- 数字表型客观地测量使用智能手机和手表等设备的行为,以实现个性化医疗.
- 之前的研究将数字现象类型与诊断精神病障碍或预测复发联系起来,但对临床使用来说准确度不够.
- 阳性和阴性综合征尺度 (PANSS) 的5因素模型提供了精细的临床分类,以更好地捕捉症状变异性.
研究的目的:
- 调查数字表型与PANSS的5个维度中的每一个之间的关联.
- 为了确定临床,人口和药物变量是否混这些关联.
主要方法:
- 连续的智能手表数据 (心率,加速度计,陀螺仪,睡眠) 从38名患有精神病谱系障碍的患者收集了长达26个月的数据.
- 使用线性混合模型分析了每月汇总的数据,以评估数字表型和PANSS症状尺寸之间的联系.
主要成果:
- 阳性症状与睡眠期间心率变化降低相关.
- 在清醒期间与运动活动 (加速计,陀螺仪) 降低相关的负面症状.
- 睡眠/清醒活动和心率模式与抑郁/焦虑,兴奋/敌意以及认知/失调症状相关.
结论:
- 数字表型是精神疾病中特定症状集群的特征,而不仅仅是诊断类别.
- 这些发现支持数字现象型用于远程患者监测,并作为精神病学研究中的潜在生物标志物.
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