在数字饮食障碍应用程序中,参与度如何随时间变化:观察性研究
Rachael E Flatt1, Laura M Thornton1, Jenna Tregarthen2
1Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
JMIR mHealth and uHealth
|September 30, 2025
概括
数字心理健康参与是复杂的. 这项研究发现了不同应用程序组件和设备的独特参与模式,性别和种族影响了饮食障碍干预中的使用情况.
科学领域:
- 数字心理健康数字心理健康
- 饮食障碍干预措施 饮食障碍干预措施
- 行为科学是一种行为科学.
背景情况:
- 数字心理健康干预参与往往是一个总结变量,尽管与症状变化有联系,但研究不足.
- 这项研究检查了通过独特的应用程序组件和设备 (手机,手表) 对数字饮食障碍干预 (恢复记录) 的参与.
研究的目的:
- 描述和建模用户参与数字饮食障碍干预.
- 确定参与干预的基线预测因素.
主要方法:
- 参与者 (N=893) 过度饮食行为使用数字干预4周.
- 参与度按日志类型,设备类型 (手机/手表) 和整体使用量进行测量,每周分析一次.
- 多层次增长模型检查了与基线特征和时间作为预测因素的参与.
主要成果:
- 大多数日志在手机上 (96%),情绪日志最常见 (62%).
- 所有参与度都随着时间的推移而下降,但参与者的轨迹在不同参与者之间有独特的差异.
- 女性和西班牙裔参与者表现出更高的参与度;时间是一个显著的负面预测因素.
结论:
- 干预参与比通常报告的更为细微,对组件和交付模式有独特的配置文件.
- 未来的研究应该开发早期参与模型,使用基线特征来预测结果和定制干预措施.
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