数字表现型在儿童和青少年精神病学:一个视角。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Melanie Nisenson, Vanessa Lin, Meredith Gansner
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引用次数: 2

摘要

数字表型(DP)为研究儿童和青少年精神病学提供了一个全新的视角。DP将从数字传感器获得的客观数据与参与者生成的“活动数据”相结合,以便更好地了解个人行为和环境相互作用。尽管这种新方法在成人精神病学方面取得了进展,但它在儿童精神病学中的应用却比较有限。本综述旨在通过回顾儿童和青少年精神病学方面的研究来证明DP方法和被动数据收集的潜在益处。26项研究从四个不同的类别收集了被动数据:加速度计/活动记录仪数据、生理数据、GPS数据和步数。研究主题包括躁狂症状和心脏参数之间的关系,以及日常情绪、睡眠和社会互动在儿童焦虑治疗中的作用。回顾的研究强调了客观数据可以增强儿童和青少年精神病学自然自我报告方法的多种方式,以允许更客观,生态有效和暂时解决的结论。尽管存在局限性,包括缺乏参与者的依从性和设备故障和滥用,但dp技术可能是了解儿童认知、行为、疾病病因和治疗效果的一种新的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Phenotyping in Child and Adolescent Psychiatry: A Perspective.

Abstract: Digital phenotyping (DP) provides opportunities to study child and adolescent psychiatry from a novel perspective. DP combines objective data obtained from digital sensors with participant-generated "active data," in order to understand better an individual's behavior and environmental interactions. Although this new method has led to advances in adult psychiatry, its use in child psychiatry has been more limited. This review aims to demonstrate potential benefits of DP methodology and passive data collection by reviewing studies specifically in child and adolescent psychiatry. Twenty-six studies were identified that collected passive data from four different categories: accelerometer/actigraph data, physiological data, GPS data, and step count. Study topics ranged from the associations between manic symptomology and cardiac parameters to the role of daily emotions, sleep, and social interactions in treatment for pediatric anxiety. Reviewed studies highlighted the diverse ways in which objective data can augment naturalistic self-report methods in child and adolescent psychiatry to allow for more objective, ecologically valid, and temporally resolved conclusions. Though limitations exist-including a lack of participant adherence and device failure and misuse-DP technology may represent a new and effective method for understanding pediatric cognition, behavior, disease etiology, and treatment efficacy.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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