Effectiveness of Digital Lifestyle Interventions on Depression, Anxiety, Stress, and Well-Being: Systematic Review and Meta-Analysis.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-03-20 DOI:10.2196/56975
Jacinta Brinsley, Edward J O'Connor, Ben Singh, Grace McKeon, Rachel Curtis, Ty Ferguson, Georgia Gosse, Iris Willems, Pieter-Jan Marent, Kimberley Szeto, Joseph Firth, Carol Maher
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Abstract

Background: There is a growing body of robust evidence to show that lifestyle behaviors influence mental health outcomes. Technology offers an accessible and cost-effective implementation method for interventions, yet the study of the effectiveness of interventions to date has been specific to the mode of delivery, population, or behavior.

Objective: The primary aim of this review was to comprehensively evaluate the effectiveness of digital lifestyle interventions for improving symptoms of depression, anxiety, stress, and well-being as coprimary outcomes in adults. The secondary aim was to explore the technological, methodological, intervention-specific, and population-specific characteristics that were associated with major changes in mental health outcomes.

Methods: A systematic search was conducted across the MEDLINE, CINAHL, Embase, Emcare, PsycINFO, and Scopus databases to identify studies published between January 2013 and January 2023. Randomized controlled trials of lifestyle interventions (physical activity, sleep, and diet) that were delivered digitally; reported changes in symptoms of depression, anxiety, stress, or well-being in adults (aged ≥18 years); and were published in English were included. Multiple authors independently extracted data, which was evaluated using the 2011 Levels of Evidence from the Oxford Centre for Evidence-Based Medicine. Inverse-variance random-effects meta-analyses were used for data analysis. The primary outcome was the change in symptoms of depression, anxiety, stress, and well-being as measured by validated self-report of clinician-administered outcomes from pre- to postintervention. Subgroup analyses were conducted to determine whether results differed based on the target lifestyle behavior, delivery method, digital features, design features, or population characteristics.

Results: Of the 14,356 studies identified, 61 (0.42%) were included. Digital lifestyle interventions had a significant small-to-medium effect on depression (standardized mean difference [SMD] -0.37; P<.001), a small effect on anxiety (SMD -0.29; P<.001) and stress (SMD -0.17; P=.04), and no effect on well-being (SMD 0.14; P=.15). Subgroup analyses generally suggested that effects were similar regardless of the delivery method or features used, the duration and frequency of the intervention, the population, or the lifestyle behavior targeted.

Conclusions: Overall, these results indicate that delivering lifestyle interventions via a range of digital methods can have significant positive effects on depression (P<.001), anxiety (P<.001), and stress (P=.04) for a broad range of populations, while effects on well-being are inconclusive. Future research should explore how these interventions can be effectively implemented and embedded within health care with a concerted focus on addressing digital health equity.

Trial registration: PROSPERO CRD42023428908; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023428908.

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数字生活方式干预对抑郁、焦虑、压力和幸福感的影响:系统回顾与元分析》。
背景:越来越多的有力证据表明,生活方式行为影响心理健康结果。技术为干预措施提供了一种可获得且具有成本效益的实施方法,但迄今为止对干预措施有效性的研究仅限于提供方式、人口或行为。目的:本综述的主要目的是全面评估数字生活方式干预对改善成人抑郁、焦虑、压力和幸福感的有效性。第二个目的是探索与心理健康结果的重大变化相关的技术、方法、干预特异性和人群特异性特征。方法:系统检索MEDLINE、CINAHL、Embase、Emcare、PsycINFO和Scopus数据库,确定2013年1月至2023年1月间发表的研究。以数字方式提供的生活方式干预(身体活动、睡眠和饮食)的随机对照试验;成人(年龄≥18岁)抑郁、焦虑、压力或幸福感症状的报告变化;并以英文出版。多位作者独立提取数据,并使用牛津循证医学中心的2011年证据水平进行评估。数据分析采用反方差随机效应荟萃分析。主要结局是抑郁、焦虑、压力和幸福感的症状变化,这些变化是通过经验证的临床管理结果自我报告从干预前到干预后测量的。进行亚组分析以确定结果是否因目标生活方式行为、递送方式、数字特征、设计特征或人群特征而不同。结果:在14356项研究中,61项(0.42%)被纳入。数字生活方式干预对抑郁症有显著的中小型影响(标准化平均差[SMD] -0.37;结论:总体而言,这些结果表明,通过一系列数字方法提供生活方式干预可以对抑郁症产生显着的积极影响(PTrial注册:PROSPERO CRD42023428908;https://www.crd.york.ac.uk/PROSPERO/view/CRD42023428908。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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