被动收集的GPS移动指标与抑郁症状之间的关系:系统审查和元分析
Yannik Terhorst1,2,3, Johannes Knauer1, Paula Philippi4
1Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany.
Journal of medical Internet research
|November 1, 2024
概括
智能手机的GPS数据显示,个人之间与抑郁症症状有显著的相关性. 这表明GPS移动性和活动特征可以增强抑郁症评估工具,但方法质量需要改进.
科学领域:
- 数字化表型化是指数字化表型化.
- 精神病学是一个精神病学.
- 地理空间分析的研究.
背景情况:
- 来自智能手机的客观,被动收集的GPS数据可能会增加抑郁症评估.
- 关于GPS特征和抑郁症相关性,没有先前的系统或元分析证据.
研究的目的:
- 调查GPS移动/活动和抑郁症状之间的人与人之间的相关性.
- 批判性地审查现有研究的质量和出版偏差.
主要方法:
- 在多个数据库 (MEDLINE,PsycINFO等) 进行系统的文献搜索. ) 的情况.
- 纳入标准侧重于GPS变量 (例如距离) 和验证的抑郁度.
- 使用随机效应模型分析相关性;评估研究质量 (STROBE) 和出版偏差 (Egger测试).
主要成果:
- 19项研究 (N=2930) 发现GPS特征 (距离,,位置变异,集群,寄宿家庭) 和抑郁症之间存在显著的人际相关性.
- 人与人之间的相关性对于元分析来说过于异质.
- 在研究质量,遵守报告准则和权力方面发现了不足;出版偏见的证据.
结论:
- 分析证据支持GPS特征与抑郁症之间的人际相关性.
- 全球定位系统 (GPS) 数据有可能提高抑郁症诊断和评估工具的性能.
- 需要进一步的研究来证实人与人之间的发现,并探索人与人之间的相关性,同时提高方法质量.
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