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将加速度计作为精神分裂症阴性症状数字表型测量方法的验证

Validation of accelerometry as a digital phenotyping measure of negative symptoms in schizophrenia.

作者信息

Strauss Gregory P, Raugh Ian M, Zhang Luyu, Luther Lauren, Chapman Hannah C, Allen Daniel N, Kirkpatrick Brian, Cohen Alex S

机构信息

Department of Psychology, University of Georgia, Athens, GA, USA.

Department of Psychology, University of Nevada, Las Vegas, NV, USA.

出版信息

Schizophrenia (Heidelb). 2022 Apr 15;8(1):37. doi: 10.1038/s41537-022-00241-z.

DOI:10.1038/s41537-022-00241-z
PMID:35853890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9261099/
Abstract

Negative symptoms are commonly assessed via clinical rating scales; however, these measures have several inherent limitations that impact validity and utility for their use in clinical trials. Objective digital phenotyping measures that overcome some of these limitations are now available. The current study evaluated the validity of accelerometry (ACL), a passive digital phenotyping method that involves collecting data on the presence, vigor, and variability of movement. Outpatients with schizophrenia (SZ: n = 50) and demographically matched healthy controls (CN: n = 70) had ACL continuously recorded from a smartphone and smartband for 6 days. Active digital phenotyping assessments, including surveys related to activity context, were also collected via 8 daily surveys throughout the 6 day period. SZ participants had lower scores on phone ACL variables reflecting vigor and variability of movement compared to CN. ACL variables demonstrated convergent validity as indicated by significant correlations with active digital phenotyping self-reports of time spent in goal-directed activities and clinical ratings of negative symptoms. The discriminant validity of ACL was demonstrated by low correlations with clinical rating scale measures of positive, disorganized, and total symptoms. Collectively, findings suggest that ACL is a valid objective measure of negative symptoms that may complement traditional approaches to assessing the construct using clinical rating scales.

摘要

阴性症状通常通过临床评定量表进行评估;然而,这些测量方法存在一些固有的局限性,影响了它们在临床试验中的有效性和实用性。现在已有能够克服其中一些局限性的客观数字表型测量方法。本研究评估了加速度计(ACL)的有效性,这是一种被动数字表型方法,涉及收集有关运动的存在、活力和变异性的数据。对患有精神分裂症的门诊患者(SZ:n = 50)和人口统计学匹配的健康对照者(CN:n = 70),通过智能手机和智能手环连续记录6天的ACL数据。在这6天期间,还通过8次每日调查收集了主动数字表型评估,包括与活动背景相关的调查。与CN相比,SZ参与者在反映运动活力和变异性的手机ACL变量上得分较低。ACL变量显示出收敛效度,这表现为与目标导向活动中花费时间的主动数字表型自我报告以及阴性症状的临床评定之间存在显著相关性。ACL的判别效度通过与阳性、紊乱和总症状的临床评定量表测量值的低相关性得到证明。总体而言,研究结果表明,ACL是一种有效的阴性症状客观测量方法,可能补充使用临床评定量表评估该结构的传统方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2c/9261099/5ed48749f98d/41537_2022_241_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2c/9261099/5ed48749f98d/41537_2022_241_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2c/9261099/5ed48749f98d/41537_2022_241_Fig1_HTML.jpg

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