背景:心理困扰(抑郁症状,焦虑,和压力)在美国成年人中需要有效的心理健康干预措施。尽管基于智能手机应用程序的程序很普遍,对其功效的研究是有限的,只有14%的人显示出临床验证的证据。我们的研究评估了Noom情绪,一种商用的基于智能手机的应用程序,使用认知行为疗法和基于正念的编程。在这项研究中,我们通过研究干预后的结局以及对心理健康的更广泛影响来解决现有文献中的差距.
目的:NoomMood是一个基于智能手机的心理健康计划,旨在供普通人群使用。这项前瞻性研究评估了NoomMood的疗效和干预后结果。我们的目标是解决美国成年人日益增长的心理困扰。
方法:采用单臂研究设计,参与者可以使用NoomMood计划16周(N=273)。调查是在基线进行的,第4周,第8周,第12周,第16周和第32周(项目后随访16周)。这项研究评估了一系列心理健康结果,包括焦虑症状,抑郁症状,感知压力,幸福,生活质量,应对,情绪调节,睡眠,和工作场所生产力(旷工或出勤)。
结果:参与者的平均年龄为40.5(SD11.7)岁。焦虑症状有统计学意义的改善,抑郁症状,和感知的压力在第4周观察到,并通过16周的干预和32周的随访维持。在前4周观察到最大的变化(降低了29%,降低25%,焦虑症状降低15%,抑郁症状,和感知的压力,分别),之后只观察到很小的改善。从计划开始到16周干预和32周随访,临床相关焦虑(7项广泛性焦虑障碍量表)和抑郁(8项患者健康问卷抑郁量表)标准的降低也得以维持。工作效率也显示出统计上显著的结果,参与者在16周时从基线获得2.57个生产性工作日,并在随访(32周)时保持相对稳定(增加2.23个生产性工作日)。此外,影响所有应对,睡眠障碍(32周时降低23%),情绪失调变量在所有时间点都表现出积极和显著的趋势(高出15%,降低23%,32周时分别高出25%)。
结论:这项研究有助于了解NoomMood对心理健康和幸福感的积极影响,超越干预阶段。尽管需要更严格的研究来了解作用机制,这项探索性研究解决了文献中的关键空白,强调基于智能手机的心理健康计划的潜力,以减少心理健康支持的障碍,并改善福祉的不同方面。未来的研究应该探索可扩展性,可行性,以及此类干预措施在不同人群中的长期依从性。
BACKGROUND: Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness interventions. Despite the prevalence of smartphone app-based programs, research on their efficacy is limited, with only 14% showing clinically validated evidence. Our study evaluates Noom Mood, a commercially available smartphone-based app that uses cognitive behavioral therapy and mindfulness-based programming. In this study, we address gaps in the existing literature by examining postintervention outcomes and the broader impact on mental wellness.
OBJECTIVE: Noom Mood is a smartphone-based mental wellness program designed to be used by the general population. This prospective study evaluates the efficacy and postintervention outcomes of Noom Mood. We aim to address the rising psychological distress among adults in the United States.
METHODS: A 1-arm study design was used, with participants having access to the Noom Mood program for 16 weeks (N=273). Surveys were conducted at baseline, week 4, week 8, week 12, week 16, and week 32 (16 weeks\' postprogram follow-up). This study assessed a range of mental health outcomes, including anxiety symptoms, depressive symptoms, perceived stress, well-being, quality of life, coping, emotion regulation, sleep, and workplace productivity (absenteeism or presenteeism).
RESULTS: The mean age of participants was 40.5 (SD 11.7) years. Statistically significant improvements in anxiety symptoms, depressive symptoms, and perceived stress were observed by week 4 and maintained through the 16-week intervention and the 32-week follow-up. The largest changes were observed in the first 4 weeks (29% lower, 25% lower, and 15% lower for anxiety symptoms, depressive symptoms, and perceived stress, respectively), and only small improvements were observed afterward. Reductions in clinically relevant anxiety (7-item generalized anxiety disorder scale) and depression (8-item Patient Health Questionnaire depression scale) criteria were also maintained from program initiation through the 16-week intervention and the 32-week follow-up. Work productivity also showed statistically significant results, with participants gaining 2.57 productive work days from baseline at 16 weeks, and remaining relatively stable (2.23 productive work days gained) at follow-up (32 weeks). Additionally, effects across all coping, sleep disturbance (23% lower at 32 weeks), and emotion dysregulation variables exhibited positive and significant trends at all time points (15% higher, 23% lower, and 25% higher respectively at 32 weeks).
CONCLUSIONS: This study contributes insights into the promising positive impact of Noom Mood on mental health and well-being outcomes, extending beyond the intervention phase. Though more rigorous studies are necessary to understand the mechanism of action at play, this exploratory study addresses critical gaps in the literature, highlighting the potential of smartphone-based mental wellness programs to lessen barriers to mental health support and improve diverse dimensions of well-being. Future research should explore the scalability, feasibility, and long-term adherence of such interventions across diverse populations.