The Effectiveness and Mechanisms of Action of App-Based Interventions for Improving Mental Health and Workplace Well-Being: Randomized Controlled Trial.

IF 5.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2026-04-27 DOI:10.2196/91564
Alexander MacLellan, Graeme Fairchild, Katherine S Button
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引用次数: 0

Abstract

Background: Depression is the most common mental health disorder worldwide and frequently leads to workplace absence. As face-to-face treatment can be difficult to access, app-based interventions are a popular solution, although their effectiveness in working populations and their mechanisms of action are unclear. Deficits in executive function may contribute to the onset and maintenance of depression, and executive function training is proposed to improve symptoms by enhancing executive function. Responders to cognitive behavioral therapy (CBT) show improvements in executive function, suggesting that this may be one mechanism of action.

Objective: This study investigated the effectiveness of app-based interventions (executive function or CBT-based) for reducing depressive and anxiety symptoms and improving workplace well-being, and assessed whether changes in executive function mediated improvements.

Methods: A total of 228 participants (147 female participants) with mild-to-moderate symptoms of depression and anxiety were recruited online and randomly assigned to a waitlist control group, an executive function training group (NeuroNation app, Synaptikon GmbH), or a self-guided CBT group (Moodfit app, Roble Ridge LLC) for a 4-week intervention period. Participants assigned to the active intervention groups were asked to use their apps a minimum of 21 times during the intervention. Participants completed measures of depressive symptoms, anxiety symptoms, and workplace well-being, and a working memory task at baseline, postintervention, and follow-up (12 weeks).

Results: Executive function training reduced anxiety (β=-2.79; P=.004) and depressive (β=-2.77; P=.02) symptoms at follow-up but not at postintervention, and it did not affect workplace well-being. There were no reductions in depressive or anxiety symptoms in the self-guided CBT group, though workplace well-being was improved at postintervention (β=3.72; P=.02) and follow-up (β=4.46; P=.02). Improvements in executive function did not mediate intervention-related changes in symptoms or workplace well-being. Self-reported adherence rates were high (executive function training: 48/54, 89%; self-guided CBT: 52/54, 96%), although attrition was high at follow-up (58% missing).

Conclusions: These results suggest that app-based executive function training may be effective at managing symptoms of anxiety and depression in a working population, while self-guided CBT apps may improve workplace well-being. However, improving executive function did not appear to be a mechanism of action of either intervention.

基于app的心理健康和工作场所幸福感干预的有效性和作用机制:随机对照试验。
背景:抑郁症是世界范围内最常见的精神健康障碍,经常导致缺勤。由于面对面治疗可能难以获得,基于应用程序的干预措施是一种流行的解决方案,尽管它们在工作人群中的有效性及其作用机制尚不清楚。执行功能缺陷可能与抑郁症的发病和维持有关,执行功能训练可以通过增强执行功能来改善症状。认知行为疗法(CBT)的应答者表现出执行功能的改善,表明这可能是一种作用机制。目的:本研究探讨基于应用程序的干预(执行功能或基于cbt)对减轻抑郁和焦虑症状和改善工作场所幸福感的有效性,并评估执行功能的改变是否介导了改善。方法:共有228名有轻度至中度抑郁和焦虑症状的参与者(147名女性参与者)在网上被招募,并被随机分配到等待名单对照组、执行功能训练组(NeuroNation应用程序,Synaptikon GmbH)或自我指导CBT组(Moodfit应用程序,Roble Ridge LLC),为期4周的干预期。被分配到积极干预组的参与者被要求在干预期间至少使用他们的应用程序21次。参与者完成了抑郁症状、焦虑症状和工作场所幸福感的测量,并在基线、干预后和随访(12周)完成了工作记忆任务。结果:执行功能训练在随访时减少焦虑(β=-2.79; P= 0.004)和抑郁(β=-2.77; P= 0.02)症状,但在干预后没有减少,并且对工作场所幸福感没有影响。自我引导CBT组的抑郁或焦虑症状没有减少,但在干预后(β=3.72; P= 0.02)和随访中(β=4.46; P= 0.02),工作场所幸福感有所改善。执行功能的改善并不能介导与干预相关的症状或工作场所幸福感的改变。自我报告的依从率很高(执行功能训练:48/54,89%;自我指导的CBT: 52/54, 96%),尽管在随访中损失率很高(58%丢失)。结论:这些结果表明,基于应用程序的执行功能培训可能有效地管理工作人群的焦虑和抑郁症状,而自我指导的CBT应用程序可能改善工作场所的幸福感。然而,改善执行功能似乎并不是任何一种干预的作用机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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