Wearable devices for anxiety & depression: A scoping review

Arfan Ahmed , Sarah Aziz , Mahmood Alzubaidi , Jens Schneider , Sara Irshaidat , Hashem Abu Serhan , Alaa A Abd-alrazaq , Barry Solaiman , Mowafa Househ
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引用次数: 3

Abstract

Background

The rates of mental health disorders such as anxiety and depression are at an all-time high especially since the onset of COVID-19, and the need for readily available digital health care solutions has never been greater. Wearable devices have increasingly incorporated sensors that were previously reserved for hospital settings. The availability of wearable device features that address anxiety and depression is still in its infancy, but consumers will soon have the potential to self-monitor moods and behaviors using everyday commercially-available devices.

Objective

This study aims to explore the features of wearable devices that can be used for monitoring anxiety and depression.

Methods

Six bibliographic databases, including MEDLINE, EMBASE, PsycINFO, IEEE Xplore, ACM Digital Library, and Google Scholar were used as search engines for this review. Two independent reviewers performed study selection and data extraction, while two other reviewers justified the cross-checking of extracted data. A narrative approach for synthesizing the data was utilized.

Results

From 2408 initial results, 58 studies were assessed and highlighted according to our inclusion criteria. Wrist-worn devices were identified in the bulk of our studies (n = 42 or 71%). For the identification of anxiety and depression, we reported 26 methods for assessing mood, with the State-Trait Anxiety Inventory being the joint most common along with the Diagnostic and Statistical Manual of Mental Disorders (n = 8 or 14%). Finally, n = 26 or 46% of studies highlighted the smartphone as a wearable device host device.

Conclusion

The emergence of affordable, consumer-grade biosensors offers the potential for new approaches to support mental health therapies for illnesses such as anxiety and depression. We believe that purposefully-designed wearable devices that combine the expertise of technologists and clinical experts can play a key role in self-care monitoring and diagnosis.

Abstract Image

焦虑和抑郁的可穿戴设备:范围界定综述
背景焦虑和抑郁等心理健康障碍的发病率处于历史最高水平,尤其是自新冠肺炎爆发以来,对现成的数字医疗解决方案的需求从未如此之大。可穿戴设备越来越多地包含了以前为医院设置保留的传感器。解决焦虑和抑郁问题的可穿戴设备功能仍处于起步阶段,但消费者很快就有可能使用日常商用设备自我监测情绪和行为。目的本研究旨在探索可用于监测焦虑和抑郁的可穿戴设备的特点。方法采用MEDLINE、EMBASE、PsycINFO、IEEE Xplore、ACM数字图书馆和Google Scholar等6个文献数据库作为检索引擎。两名独立评审员进行了研究选择和数据提取,另外两名评审员对提取的数据进行了交叉检查。采用叙述性方法综合数据。结果在2408个初步结果中,58项研究根据我们的纳入标准进行了评估和强调。在我们的大部分研究中发现了腕戴设备(n=42或71%)。为了识别焦虑和抑郁,我们报告了26种评估情绪的方法,其中状态-特质焦虑量表与《精神障碍诊断和统计手册》是最常见的联合方法(n=8或14%)。最后,n=26或46%的研究强调智能手机是一种可穿戴设备主机设备。结论价格合理的消费级生物传感器的出现为支持焦虑和抑郁等疾病的心理健康治疗提供了新的方法。我们相信,有目的地设计的可穿戴设备结合了技术人员和临床专家的专业知识,可以在自我护理监测和诊断中发挥关键作用。
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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CiteScore
5.90
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0.00%
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