Lauren S Weiner, Ryann N Crowley, Lisa B Sheeber, Frank H Koegler, Jon F Davis, Megan Wells, Carter J Funkhouser, Randy P Auerbach, Nicholas B Allen
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Digital behavioral activation interventions, with or without coaching support, hold promise for addressing risk factors for both mental and physical health problems by offering scalable approaches to expand access to evidence-based mental health support.</p><p><strong>Objective: </strong>This 2-arm pilot randomized controlled trial evaluated 2 versions of a digital behavioral health product, Vira (Ksana Health Inc), for their feasibility, acceptability, and preliminary effectiveness in improving mental health in young adults with depressive symptoms and obesity risk factors.</p><p><strong>Methods: </strong>A total of 73 participants recruited throughout the United States were randomly assigned to use Vira either as a self-guided product (Vira Self-Care) or with support from a health coach (Vira+Coaching) for 12 weeks. The Vira smartphone app used passive sensing of behavioral data related to mental health and obesity risk factors (ie, activity, sleep, mobility, and language patterns) and offered users personalized insights into patterns of behavior associated with their daily mood. Participants completed self-reported outcome measures at baseline and follow-up (12 weeks). All study procedures were completed via digital communications.</p><p><strong>Results: </strong>Both versions of Vira showed strong user engagement, acceptability, and evidence of effectiveness in improving mental health and stress. However, users receiving coaching exhibited more sustained engagement with the platform and reported greater reductions in depression (Cohen d=0.45, 95% CI 0.10-0.82) and anxiety (Cohen d=0.50, 95% CI 0.13-0.86) compared to self-care users. Both interventions also resulted in reduced stress (Vira+Coaching: Cohen d=-1.05, 95% CI -1.57 to --0.50; Vira Self-Care: Cohen d=-0.78, 95% CI -1.33 to -0.23) and were perceived as useful and easy to use. Coached users also reported reductions in sleep-related impairment (Cohen d=-0.51, 95% CI -1.00 to -0.01). Moreover, participants increased their motivation for and confidence in making behavioral changes, with greater improvements in confidence among coached users.</p><p><strong>Conclusions: </strong>An app-based intervention using passive mobile sensing to track behavior and deliver personalized insights into behavior-mood associations demonstrated feasibility, acceptability, and preliminary effectiveness for reducing depressive symptoms and other mental health problems in young adults. 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引用次数: 0
摘要
背景:青春期和成年早期是心理健康失调和健康行为发展的关键阶段。无论是否有辅导支持,数字行为激活干预措施都有希望通过提供可扩展的方法来扩大获得循证心理健康支持的途径,从而解决心理和生理健康问题的风险因素:这项两臂随机对照试验评估了数字行为健康产品 Vira(Ksana Health Inc)的两个版本,以了解它们在改善有抑郁症状和肥胖风险因素的年轻人的心理健康方面的可行性、可接受性和初步有效性:在美国各地招募的 73 名参与者被随机分配使用 Vira 12 周,他们可以选择使用 Vira 自我指导产品(Vira Self-Care),也可以选择在健康教练的支持下使用 Vira(Vira+Coaching)。Vira智能手机应用程序采用被动式传感方式获取与心理健康和肥胖风险因素(即活动、睡眠、行动能力和语言模式)相关的行为数据,并为用户提供与日常情绪相关的个性化行为模式洞察。参与者在基线和随访(12 周)期间完成自我报告结果测量。所有研究程序均通过数字通信完成:两个版本的 Vira 都显示出很高的用户参与度、可接受性以及在改善心理健康和压力方面的有效性。不过,与自我保健用户相比,接受辅导的用户表现出更持久的平台参与度,并报告抑郁(Cohen d=0.45,95% CI 0.10-0.82)和焦虑(Cohen d=0.50,95% CI 0.13-0.86)的减少幅度更大。这两项干预措施还能减轻压力(Vira+教练:Cohen d=-1.05,95% CI -1.57 至-0.50;Vira 自我保健:Cohen d=-0.78,95% CI 0.10 至-0.82):Cohen d=-0.78,95% CI -1.33 至-0.23),并被认为有用且易于使用。接受过辅导的用户还报告说,与睡眠相关的损伤有所减少(Cohen d=-0.51,95% CI -1.00 to -0.01)。此外,参与者还增强了改变行为的动力和信心,接受指导的用户在信心方面的改善更大:一项基于应用程序的干预措施利用被动移动传感技术跟踪行为,并提供个性化的行为与情绪关联见解,在减少年轻人的抑郁症状和其他心理健康问题方面具有可行性、可接受性和初步有效性。未来的发展方向包括:(1)优化干预措施;(2)开展包括主动对照条件在内的全面试验;(3)测试结果效应的中介因素和调节因素:试验注册:ClinicalTrials.gov NCT05638516;https://clinicaltrials.gov/study/NCT05638516。
Engagement, Acceptability, and Effectiveness of the Self-Care and Coach-Supported Versions of the Vira Digital Behavior Change Platform Among Young Adults at Risk for Depression and Obesity: Pilot Randomized Controlled Trial.
Background: Adolescence and early adulthood are pivotal stages for the onset of mental health disorders and the development of health behaviors. Digital behavioral activation interventions, with or without coaching support, hold promise for addressing risk factors for both mental and physical health problems by offering scalable approaches to expand access to evidence-based mental health support.
Objective: This 2-arm pilot randomized controlled trial evaluated 2 versions of a digital behavioral health product, Vira (Ksana Health Inc), for their feasibility, acceptability, and preliminary effectiveness in improving mental health in young adults with depressive symptoms and obesity risk factors.
Methods: A total of 73 participants recruited throughout the United States were randomly assigned to use Vira either as a self-guided product (Vira Self-Care) or with support from a health coach (Vira+Coaching) for 12 weeks. The Vira smartphone app used passive sensing of behavioral data related to mental health and obesity risk factors (ie, activity, sleep, mobility, and language patterns) and offered users personalized insights into patterns of behavior associated with their daily mood. Participants completed self-reported outcome measures at baseline and follow-up (12 weeks). All study procedures were completed via digital communications.
Results: Both versions of Vira showed strong user engagement, acceptability, and evidence of effectiveness in improving mental health and stress. However, users receiving coaching exhibited more sustained engagement with the platform and reported greater reductions in depression (Cohen d=0.45, 95% CI 0.10-0.82) and anxiety (Cohen d=0.50, 95% CI 0.13-0.86) compared to self-care users. Both interventions also resulted in reduced stress (Vira+Coaching: Cohen d=-1.05, 95% CI -1.57 to --0.50; Vira Self-Care: Cohen d=-0.78, 95% CI -1.33 to -0.23) and were perceived as useful and easy to use. Coached users also reported reductions in sleep-related impairment (Cohen d=-0.51, 95% CI -1.00 to -0.01). Moreover, participants increased their motivation for and confidence in making behavioral changes, with greater improvements in confidence among coached users.
Conclusions: An app-based intervention using passive mobile sensing to track behavior and deliver personalized insights into behavior-mood associations demonstrated feasibility, acceptability, and preliminary effectiveness for reducing depressive symptoms and other mental health problems in young adults. Future directions include (1) optimizing the interventions, (2) conducting a fully powered trial that includes an active control condition, and (3) testing mediators and moderators of outcome effects.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.