在一个跨诊断样本中被动感知无情感和无动感
Adam J Culbreth1, Deanna M Barch2, Subigya Nepal3
1Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland, School of Medicine.
Journal of psychopathology and clinical science
|July 21, 2025
概括
被动传感器和日常调查提高了对精神分裂症,双相情感障碍和抑郁症的无情和回避的评估. 移动技术提供了超越传统临床评级的宝贵见解.
科学领域:
- 精神病学和行为科学 精神病学和行为科学
- 数字健康数字健康
- 临床心理学 临床心理学
背景情况:
- 无情和排斥是精神分裂症,双相情感障碍和严重抑郁症的关键症状.
- 传统的评估依赖于临床评级尺度.
- 移动技术提供了通过被动传感器和生态瞬间评估 (EMA) 来测量这些症状的新方法.
研究的目的:
- 检查无线性/无意识的临床评级与被动感测措施之间的关联.
- 评估被动感应在解释临床访谈变化方面的附加值,与单独的EMA相比.
主要方法:
- 一个跨诊断样本 (精神分裂症,双相情感障碍,严重抑郁症) 完成了为期2周的EMA和被动感应协议.
- 被动传感包括GPS (行驶距离),呼叫日志和短信数据.
- 欧洲药物管理局评估了人们对日常活动的兴趣和享受.
主要成果:
- 每日兴趣/享受 (EMA) 预测了无情/无情的临床评级 (R2 = .04).
- 添加所行走的物理距离,解释了差异的改善 (R2 = .12).
- 包括呼叫和文本数据在内,进一步增强了解释差异 (R2 = .18).
结论:
- 被动传感器数据显著加强了日常生活评估和黄金标准临床评级之间的关联.
- 被动感知为理解精神病和情绪障碍中的动机缺陷提供了附加值.
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