研究基于全自动移动设备的抑郁症行为激活干预:随机对照试验

IF 4.8 2区 医学 Q1 PSYCHIATRY Jmir Mental Health Pub Date : 2024-08-30 DOI:10.2196/54252
Nicholas Santopetro, Danielle Jones, Andrew Garron, Alexandria Meyer, Keanan Joyner, Greg Hajcak
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引用次数: 0

摘要

背景:尽管我们对抑郁症的认识取得了重大进展,但近年来发病率仍大幅上升。因此,我们迫切需要更具成本效益和可扩展的心理健康治疗方案,包括能最大限度减轻治疗师负担的数字化干预措施:本研究的重点是行为激活(BA)的全自动数字化实施--行为激活是认知行为疗法治疗抑郁症的核心行为部分。我们研究了为期 1 个月的基于短信的全自动行为激活干预对减轻抑郁症状和失乐症的疗效:为此,我们在全美范围内在线招募了至少有中度抑郁症状(8 项患者健康问卷得分≥10 分)的成年人,并将其随机分配到三种条件之一:愉快的活动(即 BA)、健康的活动(即主动控制条件)和被动控制(即不接触)。被随机分配到愉快活动和健康活动的参与者每天都会收到短信,提示他们每天完成 2 项活动;参与者还会提供一份关于前一天完成活动的数量和愉快程度的每日报告:共招募了 126 名目前有中度抑郁症状(平均分 16.53,标准差 3.90)的成年人(平均年龄 32.46 岁,标准差 7.41 岁)。与被动活动条件下的参与者(46 人)相比,愉快活动条件下的参与者(BA;人数=39)的抑郁症状明显减轻。与对照组相比,积极活动状态(愉快活动和健康活动,人数=41)下的参与者焦虑症状均有所减轻:这些研究结果为全自动数字 BA 干预对抑郁和焦虑症状的疗效提供了初步证据。此外,提醒完成健康活动可能是减少焦虑症状的一种很有前景的干预措施。
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Examining a Fully Automated Mobile-Based Behavioral Activation Intervention in Depression: Randomized Controlled Trial.

Background: Despite significant progress in our understanding of depression, prevalence rates have substantially increased in recent years. Thus, there is an imperative need for more cost-effective and scalable mental health treatment options, including digital interventions that minimize therapist burden.

Objective: This study focuses on a fully automated digital implementation of behavioral activation (BA)-a core behavioral component of cognitive behavioral therapy for depression. We examine the efficacy of a 1-month fully automated SMS text message-based BA intervention for reducing depressive symptoms and anhedonia.

Methods: To this end, adults reporting at least moderate current depressive symptoms (8-item Patient Health Questionnaire score ≥10) were recruited online across the United States and randomized to one of three conditions: enjoyable activities (ie, BA), healthy activities (ie, an active control condition), and passive control (ie, no contact). Participants randomized to enjoyable and healthy activities received daily SMS text messages prompting them to complete 2 activities per day; participants also provided a daily report on the number and enjoyment of activities completed the prior day.

Results: A total of 126 adults (mean age 32.46, SD 7.41 years) with current moderate depressive symptoms (mean score 16.53, SD 3.90) were recruited. Participants in the enjoyable activities condition (BA; n=39) experienced significantly greater reductions in depressive symptoms compared to participants in the passive condition (n=46). Participants in both active conditions-enjoyable activities and healthy activities (n=41)-reported reduced symptoms of anxiety compared to those in the control condition.

Conclusions: These findings provide preliminary evidence regarding the efficacy of a fully automated digital BA intervention for depression and anxiety symptoms. Moreover, reminders to complete healthy activities may be a promising intervention for reducing anxiety symptoms.

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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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