使用智能手机GPS数据来检测青少年自杀思想和行为风险
Randy P Auerbach1,2, Paul A Bloom1,2, David Pagliaccio1,2
1Department of Psychiatry, Columbia University, New York, New York.
JAMA network open
|January 27, 2025
概括
青少年自杀风险可以使用智能手机GPS数据来预测. 在一周内在家 (家庭寄宿) 度过的时间增加与下一周自杀事件的可能性更高有关.
科学领域:
- 数字化表型化是指数字化表型化.
- 青少年精神病学 青少年精神病学
- 预防自杀 预防自杀
背景情况:
- 青少年自杀率正在上升,迫切需要工具来预测自杀行为.
- 目前用于评估青少年自杀风险的临床工具有限.
研究的目的:
- 确定基于智能手机的地理位置指标是否可以预测下周高风险青少年的自杀事件和自杀意图.
- 探索被动传感器数据对于早期发现自杀风险的有用性.
主要方法:
- 一个案例系列研究涉及186名高风险青少年 (13-18岁) 患有情感和/或物质使用障碍.
- 使用无力评估研究系统 (EARS) 应用程序进行被动地理定位 (GPS) 和每周体验采样.
- 员工重复测量混合效应物流模型,分析地理位置特征与自杀事件/想法之间的关联.
主要成果:
- 每周更多的家庭住宿 (在家度过的时间) 与随后自杀事件的几率增加了2倍 (OR,1.99).
- 诸如和行驶距离等地理位置指标与自杀事件没有显著的关联.
- 家庭家庭模型显示了适度的预测准确性 (AUC,0.64).
结论:
- 智能手机衍生地缘定位,特别是家庭住宿的持续时间,显示出有潜力识别处于自杀事件风险增加的青少年.
- 这种新的方法为开发预防自杀的数字工具提供了一个起点.
- 未来的研究可以利用智能手机传感器数据及时识别和干预风险.
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