The performance relationship between the EQ-5D-5L composite “Anxiety/Depression” dimension and anxiety and depression symptoms in a large, general population sample

IF 3.3 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Emily Stella Scott, Erica I. Lubetkin, Mathieu F. Janssen, John N. Yfantopolous, Gouke J. Bonsel, Juanita A. Haagsma
{"title":"The performance relationship between the EQ-5D-5L composite “Anxiety/Depression” dimension and anxiety and depression symptoms in a large, general population sample","authors":"Emily Stella Scott, Erica I. Lubetkin, Mathieu F. Janssen, John N. Yfantopolous, Gouke J. Bonsel, Juanita A. Haagsma","doi":"10.1007/s11136-024-03754-5","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>This cross-sectional study aims to understand the relationship between responses on the Anxiety/Depression (A/D) dimension of the EQ-5D-5L and symptoms of anxiety and depression on the GAD-7 and PHQ-9 instruments. In doing so, we investigate the comparative performance of the dimension between diagnostic groups (i.e. anxiety (GAD-7); depression (PHQ-9); anxiety &amp; depression versus none). We additionally investigate the discriminatory performance between sub-populations based on gender, age, education and self-reported chronic conditions.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>19,902 general population participants completed a health survey in May/June 2020, from five European countries and the United States. Performance of A/D was calculated using the Area Under the Receiver Operating Characteristic curve (AUROC), and was compared to having anxiety (GAD-7 ≥ 8), depression (PHQ-9 ≥ 10) and both versus none for the total population and sub-populations. Several additional sensitivity analyses were conducted, including calculations of the optimal A/D cut-off.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The performance in the total sample was good (AUROC &gt; 0.8) and did not differ significantly between diagnostic groups. The performance differed significantly between the age groups, with worse performance in the younger groups, and differed between those with a singular chronic condition, with worse performance in those indicating having an anxiety or depression disorder. The performance did not differ significantly by gender, education, nor total chronic conditions.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The A/D dimension captures symptoms of anxiety, depression or both equally well. Performance is worse in the younger population. Interpretation in those with a self-reported anxiety or depression disorder should be further investigated. This is the first-of-its-kind large population sample performance analysis, where we present evidence that the performance of the A/D dimension differs between ages, and thus intra-age comparative results may be flawed.</p>","PeriodicalId":20748,"journal":{"name":"Quality of Life Research","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality of Life Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11136-024-03754-5","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

This cross-sectional study aims to understand the relationship between responses on the Anxiety/Depression (A/D) dimension of the EQ-5D-5L and symptoms of anxiety and depression on the GAD-7 and PHQ-9 instruments. In doing so, we investigate the comparative performance of the dimension between diagnostic groups (i.e. anxiety (GAD-7); depression (PHQ-9); anxiety & depression versus none). We additionally investigate the discriminatory performance between sub-populations based on gender, age, education and self-reported chronic conditions.

Methods

19,902 general population participants completed a health survey in May/June 2020, from five European countries and the United States. Performance of A/D was calculated using the Area Under the Receiver Operating Characteristic curve (AUROC), and was compared to having anxiety (GAD-7 ≥ 8), depression (PHQ-9 ≥ 10) and both versus none for the total population and sub-populations. Several additional sensitivity analyses were conducted, including calculations of the optimal A/D cut-off.

Results

The performance in the total sample was good (AUROC > 0.8) and did not differ significantly between diagnostic groups. The performance differed significantly between the age groups, with worse performance in the younger groups, and differed between those with a singular chronic condition, with worse performance in those indicating having an anxiety or depression disorder. The performance did not differ significantly by gender, education, nor total chronic conditions.

Conclusion

The A/D dimension captures symptoms of anxiety, depression or both equally well. Performance is worse in the younger population. Interpretation in those with a self-reported anxiety or depression disorder should be further investigated. This is the first-of-its-kind large population sample performance analysis, where we present evidence that the performance of the A/D dimension differs between ages, and thus intra-age comparative results may be flawed.

Abstract Image

在大量普通人群样本中,EQ-5D-5L 综合 "焦虑/抑郁 "维度与焦虑和抑郁症状之间的表现关系
目的 本横断面研究旨在了解 EQ-5D-5L 的焦虑/抑郁 (A/D) 维度上的反应与 GAD-7 和 PHQ-9 工具上的焦虑和抑郁症状之间的关系。为此,我们调查了该维度在不同诊断组(即焦虑(GAD-7);抑郁(PHQ-9);焦虑&;抑郁与无)之间的比较表现。此外,我们还根据性别、年龄、教育程度和自我报告的慢性病情况调查了亚人群之间的区别性表现。方法来自五个欧洲国家和美国的 19902 名普通人群参与者于 2020 年 5 月/6 月完成了一项健康调查。使用接收者工作特征曲线下面积(AUROC)计算 A/D 的性能,并与总人口和亚人口中的焦虑(GAD-7 ≥ 8)、抑郁(PHQ-9 ≥ 10)以及两者都有与都没有进行比较。我们还进行了其他几项敏感性分析,包括计算最佳 A/D 临界值。结果总样本的性能良好(AUROC > 0.8),不同诊断组之间差异不大。不同年龄组之间的表现有明显差异,年轻组的表现较差;不同慢性病患者之间的表现也有差异,表示患有焦虑症或抑郁症的患者表现较差。结论A/D维度能很好地捕捉焦虑、抑郁或两者兼有的症状。年轻人的表现较差。对于那些自述患有焦虑症或抑郁症的人群,应进一步研究其解释。这是我们首次对大量人口样本的表现进行分析,我们在分析中提出的证据表明,A/D维度的表现在不同年龄之间存在差异,因此年龄内的比较结果可能存在缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Quality of Life Research
Quality of Life Research 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
8.60%
发文量
224
审稿时长
3-8 weeks
期刊介绍: Quality of Life Research is an international, multidisciplinary journal devoted to the rapid communication of original research, theoretical articles and methodological reports related to the field of quality of life, in all the health sciences. The journal also offers editorials, literature, book and software reviews, correspondence and abstracts of conferences. Quality of life has become a prominent issue in biometry, philosophy, social science, clinical medicine, health services and outcomes research. The journal''s scope reflects the wide application of quality of life assessment and research in the biological and social sciences. All original work is subject to peer review for originality, scientific quality and relevance to a broad readership. This is an official journal of the International Society of Quality of Life Research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信