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卡迪夫在线认知评估在全国样本中的应用:基于网络的横断面研究。

Cardiff Online Cognitive Assessment in a National Sample: Cross-Sectional Web-Based Study.

机构信息

Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, United Kingdom.

出版信息

J Med Internet Res. 2023 Sep 13;25:e46675. doi: 10.2196/46675.

Abstract

BACKGROUND

Psychiatric disorders are associated with cognitive impairment. We have developed a web-based, 9-task cognitive battery to measure the core domains affected in people with psychiatric disorders. To date, this assessment has been used to collect data on a clinical sample of participants with psychiatric disorders.

OBJECTIVE

The aims of this study were (1) to establish a briefer version of the battery (called the Cardiff Online Cognitive Assessment [CONCA]) that can give a valid measure of cognitive ability ("g") and (2) to collect normative data and demonstrate CONCA's application in a health population sample.

METHODS

Based on 6 criteria and data from our previous study, we selected 5 out of the original 9 tasks to include in CONCA. These included 3 core tasks that were sufficient to derive a measure of "g" and 2 optional tasks. Participants from a web-based national cohort study (HealthWise Wales) were invited to complete CONCA. Completion rates, sample characteristics, performance distributions, and associations between cognitive performance and demographic characteristics and mental health measures were examined.

RESULTS

A total of 3679 participants completed at least one CONCA task, of which 3135 completed all 3 core CONCA tasks. Performance on CONCA was associated with age (B=-0.05, SE 0.002; P<.001), device (tablet computer: B=-0.26, SE 0.05; P<.001; smartphone: B=-0.46, SE 0.05; P<.001), education (degree: B=1.68, SE 0.14; P<.001), depression symptoms (B=-0.04, SE 0.01; P<.001), and anxiety symptoms (B=-0.04, SE 0.01; P<.001).

CONCLUSIONS

CONCA provides a valid measure of "g," which can be derived using as few as 3 tasks that take no more than 15 minutes. Performance on CONCA showed associations with demographic characteristics in the expected direction and was associated with current depression and anxiety symptoms. The effect of device on cognitive performance is an important consideration for research using web-based assessments.

摘要

背景

精神疾病与认知障碍有关。我们开发了一种基于网络的 9 任务认知电池,用于测量精神疾病患者受影响的核心领域。迄今为止,该评估已用于收集精神疾病患者临床样本的数据。

目的

本研究的目的是(1)建立该电池的更简短版本(称为加的夫在线认知评估[CONCA]),该版本可以有效地衡量认知能力(“g”),(2)收集规范数据并展示 CONCA 在健康人群样本中的应用。

方法

根据 6 项标准和我们之前研究的数据,我们从原始的 9 项任务中选择了 5 项任务包含在 CONCA 中。这些任务包括足以得出“g”测量值的 3 项核心任务和 2 项可选任务。邀请来自基于网络的全国队列研究(健康威尔士)的参与者完成 CONCA。检查了完成率、样本特征、表现分布以及认知表现与人口统计学特征和心理健康测量指标之间的关联。

结果

共有 3679 名参与者完成了至少一项 CONCA 任务,其中 3135 名参与者完成了所有 3 项核心 CONCA 任务。CONCA 的表现与年龄(B=-0.05,SE 0.002;P<.001)、设备(平板电脑:B=-0.26,SE 0.05;P<.001;智能手机:B=-0.46,SE 0.05;P<.001)、教育程度(学位:B=1.68,SE 0.14;P<.001)、抑郁症状(B=-0.04,SE 0.01;P<.001)和焦虑症状(B=-0.04,SE 0.01;P<.001)有关。

结论

CONCA 提供了“g”的有效衡量标准,使用不超过 15 分钟的 3 项任务即可得出该标准。CONCA 的表现与预期方向的人口统计学特征相关,并且与当前的抑郁和焦虑症状相关。设备对认知表现的影响是使用基于网络的评估进行研究的一个重要考虑因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b10/10534289/ea4e69d3caa7/jmir_v25i1e46675_fig1.jpg

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