Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review.
Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review.
复制标题
用于监测儿童和青少年抑郁症状的移动和可穿戴技术：范围界定审查。
DOI：
10.1016/j.jad.2019.11.156
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发表时间：
2020
影响因子：
6.6
通讯作者：
Strauss,John
中科院分区：
文献类型：
--
作者：
Sequeira,Lydia;Perrotta,Steve;LaGrassa,Jennifer;Merikangas,Kathleen;Kreindler,David;Kundur,Deepa;Courtney,Darren;Szatmari,Peter;Battaglia,Marco;Strauss,John
背景移动的和可穿戴工具的快速增长可能有助于克服儿童和青少年重性抑郁症的诊断和预测方面的挑战，这些任务依赖于临床报告，而临床报告本质上是基于对症状和相关特征的回顾性回忆。本文综述了更客观的方法来测量和监测情绪在此population.MethodsA范围审查同行评议的研究审查发表的研究，采用移动的和可穿戴工具，以表征抑郁症的儿童和/或青少年。我们的检索策略包括以下术语：（1）监测或预测（2）抑郁症（3）移动的应用程序或可穿戴设备以及（4）儿童和青少年（包括青少年），并应用于五个数据库。结果我们的搜索产生829引文（2008- 2019年2月），其中30篇（期刊文章、会议论文和摘要）被纳入分析，2篇综述被纳入我们的讨论。大多数证据涉及智能手机应用程序，很少有研究使用腕动记录仪。移动的和可穿戴设备捕获了各种数据，包括不显眼的被动分析、运动和光线数据，以及身心健康数据，包括抑郁症状监测。大多数研究还审查了可行性。LimitationsThis审查仅限于在英语发表的研究。审查标准排除了任何应用程序，主要是治疗为重点，因此没有太多的关注临床outcome.ConclusionsThis范围审查产生了各种各样的研究与异质人群，研究方法和研究目标，这限制了我们的能力，以解决我们的研究目标凝聚力。然而，某些移动的技术已经证明了跟踪抑郁症的可行性，可以为预测复发的模型提供信息。
BackgroundThere has been rapid growth of mobile and wearable tools that may help to overcome challenges in the diagnosis and prediction of Major Depressive Disorder in children and adolescents, tasks that rely on clinical reporting that is inherently based on retrospective recall of symptoms and associated features. This article reviews more objective ways of measuring and monitoring mood within this population.MethodsA scoping review of peer-reviewed studies examined published research that employs mobile and wearable tools to characterize depression in children and/or adolescents. Our search strategy included the following terms: (1) monitoring or prediction (2) depression (3) mobile apps or wearables and (4) children and youth (including adolescents), and was applied to five databases.ResultsOur search produced 829 citations (2008- Feb 2019), of which 30 (journal articles, conference papers and abstracts) were included in the analysis, and 2 reviews included in our discussion. The majority of the evidence involved smartphone apps, with very few studies using actigraphy. Mobile and wearables captured a variety of data including unobtrusive passive analytics, movement and light data, plus physical and mental health data, including depressive symptom monitoring. Most studies also examined feasibility.LimitationsThis review was limited to published research in the English language. The review criteria excluded any apps that were mainly treatment focused, therefore there was not much of a focus on clinical outcomes.ConclusionsThis scoping review yielded a variety of studies with heterogeneous populations, research methods and study objectives, which limited our ability to address our research objectives cohesively. Certain mobile technologies, however, have demonstrated feasibility for tracking depression that could inform models for predicting relapse.