基于手机应用的感恩干预对大学生心理健康的影响:随机对照试验

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2025-01-14 DOI:10.2196/53850
Chloë Fuller, Silvia Marin-Dragu, Ravishankar Subramani Iyer, Sandra Melanie Meier
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引用次数: 0

摘要

背景:感恩干预被用来培养对生活和他人的感恩意识。在不同的人群和方法中,感恩干预对心理健康的影响有不同的结果。目的:本研究的目的是测试感恩干预智能手机应用程序对大学生心理健康的有效性。方法:我们采用随机实验设计来验证我们的目标。参与者是从一个基于网络的大学招生系统中招募的本科生。在为期三周的研究开始和结束时,参与者完成了90个关于他们情绪健康和人格特征的网络调查问题。用抑郁、焦虑和压力量表(DASS-21)测量他们的抑郁、焦虑和压力水平。基线调查后,参与者被随机分配到对照组或干预组。干预组的参与者使用了一个全自动移动传感应用程序和一个感恩干预移动iOS智能手机应用程序,该应用程序是为青少年用户设计的,基于之前的感恩干预和练习。感恩干预应用程序提示用户在应用程序上完成每日感恩练习,包括感恩日记、感恩图片集、想象练习、演讲练习和冥想。对照组的参与者只使用移动传感应用程序,该应用程序被动地收集智能手机的移动、屏幕时间、睡眠和社交互动等感官数据。结果:符合纳入标准的受试者共120人,失访27人,干预组共41人,对照组52人,数据完整。根据基线评估的临床截止值,120名参与者中有56人被确定为至少具有中度基线症状的子样本。至少有中度基线症状的亚样本参与者报告干预后抑郁、焦虑和压力症状显著降低(Cohen d=-0.68;P=.04),但在低基线症状的全部样本中没有(Cohen d=0.16;P = .46)。访问应用程序的次数与两个子样本的变化无关(r=0.01;P= 0.98)或整个样本(r=-0.04;P = .79)。结论:经历中度至重度痛苦的大学生可以从感恩干预智能手机应用程序中受益,以改善抑郁、焦虑和压力症状。使用感恩干预应用程序的次数与幸福感结果无关。临床医生可以考虑将感恩应用程序与其他心理健康治疗结合起来,或者将其作为一种成本效益高、指导最低的选择,用于那些经历心理困扰的大学生。
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A Mobile App-Based Gratitude Intervention's Effect on Mental Well-Being in University Students: Randomized Controlled Trial.

Background: Gratitude interventions are used to cultivate a sense of gratitude for life and others. There have been mixed results of the efficacy of gratitude interventions' effect on psychological well-being with a variety of populations and methodologies.

Objectives: The objective of our study was to test the effectiveness of a gratitude intervention smartphone app on university students' psychological well-being.

Methods: We used a randomized experimental design to test our objective. Participants were recruited undergraduate students from a web-based university study recruitment system. Participants completed 90 web-based survey questions on their emotional well-being and personality traits at the beginning and end of the 3-week research period. Their depression, anxiety, and stress levels were measured with the Depression, Anxiety, and Stress Scale (DASS-21). After the baseline survey, participants were randomly assigned to either the control or the intervention. Participants in the intervention group used both a fully automated mobile sensing app and a gratitude intervention mobile iOS smartphone app designed for youth users and based on previous gratitude interventions and exercises. The gratitude intervention app prompted users to complete daily gratitude exercises on the app including a gratitude journal, a gratitude photo book, an imagine exercise, a speech exercise, and meditation. Participants in the control group used only the mobile sensing app, which passively collected smartphone sensory data on mobility, screen time, sleep, and social interactions.

Results: A total of 120 participants met the inclusion criteria, and 27 were lost to follow-up for a total of 41 participants in the intervention group and 52 in the control group providing complete data. Based on clinical cutoffs from the baseline assessment, 56 out of 120 participants were identified as being in a subsample with at least moderate baseline symptomatology. Participants in the subsample with at least moderate baseline symptomatology reported significantly lower symptoms of depression, anxiety, and stress postintervention (Cohen d=-0.68; P=.04) but not in the full sample with low baseline symptomatology (Cohen d=0.16; P=.46). The number of times the app was accessed was not correlated with changes in either the subsample (r=0.01; P=.98) or the full sample (r=-0.04; P=.79).

Conclusions: University students experiencing moderate to severe distress can benefit from a gratitude intervention smartphone app to improve symptoms of depression, anxiety, and stress. The number of times the gratitude intervention app was used is not related to well-being outcomes. Clinicians could look at incorporating gratitude apps with other mental health treatments or for those waitlisted as a cost-effective and minimally guided option for university students experiencing psychological distress.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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