数字表现型和提问对青少年情绪障碍的影响:为期4周的实地研究
Minseo Cho1, Doeun Park2, Myounglee Choo3
1Human Computer Interaction Lab, School of Business, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Building 212, Seoul, 03722, Republic of Korea.
JMIR human factors
|October 8, 2025
概括
一个收集主动和被动数字表型的移动应用程序改善了青少年的抑郁,压力,自我效能和时间管理. 这种数字表型化方法对管理年轻人的情绪障碍有很大的希望.
科学领域:
- 数字健康数字健康
- 青少年心理健康 青少年心理健康
- 行为科学 行为科学
背景情况:
- 青春期的精神疾病发病率最高,需要积极的干预.
- 数字表型化为早期发现和管理这些疾病提供了一种有希望的方法.
- 当前的方法往往错过了用户的主观观点和数据收集本身的治疗潜力.
研究的目的:
- 开发和评估一个移动应用程序,用于收集与青少年情绪和行为相关的被动和活跃数字现象型.
- 通过自我监测来评估应用程序对情绪障碍管理的影响.
- 为了确定生活方式指标预测情绪障碍的发展.
主要方法:
- 用36名韩国青少年进行了为期4周的并行,无等效的对照组设计.
- 干预组使用移动应用程序收集被动 (位置,睡眠,屏幕时间) 和主动 (情绪,抑郁,焦虑,压力的生态瞬间评估) 数据.
- 对照组没有接受任何干预;两组都对情绪障碍,自我效能和时间管理进行了评估.
主要成果:
- 干预组显示,抑郁症 (P=.04) 和压力 (P=.03) 的显著减少,效果大小中等.
- 观察到自我有效性 (P=.002) 和时间管理 (P<.001) 的改善.
- 焦虑水平没有显著变化 (P=.11);在被动表型和日常情绪状态之间发现了微弱但显著的相关性.
结论:
- 通过移动工具整合主动和被动数字现象,有助于青少年情绪障碍管理.
- 该应用程序展示了治疗效益,改善自我反思,并导致抑郁和压力减少.
- 高依从性表明这种方法对于长期管理是实用的,被动的表型显示出作为生态标记物的潜力.
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