%0杂志文章%@ 2368- 7959% I JMIR出版物%V 9%卡塔尔世界杯8强波胆分析 N 8% P e39516% T心理健康应用定制对大学生抑郁症状的影响:随机对照试验%A 6,Stephanie G %A Byrne,Kaileigh A %A Aly,Heba %A Harris,Maggie W %+克莱姆森大学心理学系，克莱姆森大学布兰克特霍尔418号，克莱姆森大学，克莱姆森，SC, 29634-0001，美国，1 864 656 3935,kaileib@clemson.edu %K抑郁症%K心理健康应用%K定制%K个性化%K认知行为治疗%K虚拟人格%K手机%D 2022 %7 9.8.2022 %9原始论文%J JMIR Ment健康%G英语%X背景:心理健康应用程序已经显示出改善心理健康症状(包括抑郁症状)的前景。然而，有限的研究旨在了解特定的应用程序功能和设计如何优化这种心理健康应用程序的治疗效果和依从性。目的:本研究的主要目的是调查化身定制对抑郁症状的影响，以及对使用基于认知行为疗法(CBT)的新型心理健康应用程序的依从性。次要目的是检查应用程序的特定功能，包括日志记录、情绪跟踪和提醒，是否会影响心理健康应用程序的可用性。大学生是通过大学学习招聘网站和校园各处的传单广告招募的。共有94名参与者完成了一项随机对照试验，他们被随机分配到应用程序的定制版本或不定制版本。定制包括根据自己的喜好定制虚拟头像和旅行车辆，并在应用程序中使用自己的名字。参与者使用一款名为AirHeart的基于cbt的新型心理健康应用程序完成了为期14天的试验。在基线和干预后测量抑郁症状、焦虑和压力的自我报告得分。干预后调查措施还包括可用性和头像识别问卷。结果:94名参与者中，83人(88%)完成了干预和干预后评估。 AirHeart app use significantly reduced symptoms of depression (P=.006) from baseline to the end of the 2-week intervention period for all participants, regardless of the customization condition. However, no differences in depressive symptoms (P=.17) or adherence (P=.80) were observed between the customization (39/83, 47%) and no customization (44/83, 53%) conditions. The frequency of journaling, usefulness of mood tracking, and helpfulness of reminders were not associated with changes in depressive symptoms or adherence (P>.05). Exploratory analyses showed that there were 3 moderate positive correlations between avatar identification and depressive symptoms (identification: r=−0.312, P=.02; connection: r=−0.305, P=.02; and lack of relatability: r=0.338, P=.01). Conclusions: These results indicate that CBT mental health apps, such as AirHeart, have the potential to reduce depressive symptoms over a short intervention period. The randomized controlled trial results demonstrated that customization of app features, such as avatars, does not further reduce depressive symptoms over and above the CBT modules and standard app features, including journal, reminders, and mood tracking. However, further research elucidating the relationship between virtual avatar identification and mental health systems is needed as society becomes increasingly more digitized. These findings have potential implications for improving the optimization of mental health app designs. Trial Registration: Open Science Framework t28gm; https://osf.io/t28gm %M 35943788 %R 10.2196/39516 %U https://mental.www.mybigtv.com/2022/8/e39516 %U https://doi.org/10.2196/39516 %U http://www.ncbi.nlm.nih.gov/pubmed/35943788