在精神分裂症和双相情感障碍中,基于智能手机的社会连接的标记
Linda Valeri1,2, Xiaoxuan Cai3, Habiballah Rahimi Eichi4,5
1Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA. Lv2424@columbia.edu.
NPP - digital psychiatry and neuroscience
|December 8, 2025
概括
智能手机数据可以跟踪精神病患者的社交活动和孤独感. 一个人与之沟通的重要联系人的数量预测了孤独感,为参与提供了潜在的数字标记.
科学领域:
- 精神病学和数字健康
背景情况:
- 社会隔离和障碍是精神疾病复发的关键特征和预测因素.
- 对社会活动和孤独的客观评估对于管理这些情况至关重要.
研究的目的:
- 评估使用基于智能手机的主动和被动标记器来感知社交活动和孤独的可行性.
- 在患有精神疾病的患者中探索移动通信模式和感知到的孤独之间的关系.
主要方法:
- 一项试点研究涉及9名精神分裂症和双相情感障碍患者,他们使用Beiwe智能手机应用程序收集数据.
- 参与者每天完成有关社交活动和孤独感的调查.
- K-means集群确定了"重要联系人",混合效应模型分析了社交网络特征作为孤独的预测因素.
主要成果:
- 通过电话与人沟通的个体数量独立地预测了感知到的孤独感.
- 当只考虑"重要联系" (亲密朋友和家人) 时,这种关联更强烈.
- 来自移动通信的社交网络特征显示出作为客观标记物的承诺.
结论:
- "重要联系人"的数量是移动通信参与和感知孤独的有希望的数字标记.
- 智能手机传感提供了一种可行的方法来捕捉精神病患者群体中的社会活动表型.
- 这种方法可以帮助监测和潜在地干预与精神疾病相关的社会缺陷.
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