Anxiety and depression may amplify self-reported physical health problems: evidence from EQ-5D-5L data.

IF 3.9 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yanming Hong, Zhihao Yang, Nan Luo, Jan Busschbach
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引用次数: 0

Abstract

INTRODUCTION: Our previous study has shown that individuals with poor positive mental well-being (measured by the Short Warwick-Edinburgh Mental Well-being Scale, SWEMWBS) tend to report more problems on the EQ-5D-5L. Another study has shown that the anxiety/depression item of the EQ-5D-5L and all items of SWEMWBS loaded onto the same factor in an exploratory factor analysis, suggesting they measure the same construct. This study aims to analyze the potential impact of anxiety/depression on responses to the four physical health dimensions of the EQ-5D-5L. METHODS: An online survey and face-to-face interviews were conducted to collect data from participants with and without different health conditions. Generalized ordered logistic regression was employed to examine the influence of anxiety/depression on responses to the four physical health dimensions of the EQ-5D-5L. Multiple linear regression analysis was conducted to explore the effects of anxiety/depression on EQ-VAS and utility values. A directed acyclic graph (DAG) was used to identify the minimum set of variables required to adjust for confounding. RESULTS: 500 participants completed online surveys, 509 participated in face-to-face interviews; 237 healthy individuals, 430 individuals with physical conditions, 234 with mental conditions, and 108 with both physical and mental conditions. According to graphical rules applied to the DAG, the final minimally sufficient adjustment set comprised age, carers, education level, sex, and health conditions. Generalized ordered logistic regression indicated that individuals with higher levels of anxiety/depression were more likely to report problems in the four physical health dimensions. Multiple linear regression analysis demonstrated that anxiety/depression was significantly associated with EQ-5D-5L utility values and EQ-VAS scores, with individuals experiencing high levels of anxiety/depression reporting lower values for both measures. CONCLUSION: Mental health conditions, particularly anxiety and depression, may lead to heightened perceptions of problems in physical health dimensions, potentially biasing self-reported health data. Addressing anxiety and depression in clinical and therapeutic settings may not only improve mental health outcomes but also positively influence perceived physical health. Future research is needed to establish causal relationships.

焦虑和抑郁可能会放大自我报告的身体健康问题:来自EQ-5D-5L数据的证据
我们之前的研究表明,积极心理健康状况较差的个体(通过短沃里克-爱丁堡心理健康量表,SWEMWBS测量)倾向于在EQ-5D-5L上报告更多的问题。另一项研究表明,EQ-5D-5L的焦虑/抑郁项目与SWEMWBS的所有项目在探索性因子分析中加载到同一因子上,表明它们测量的是相同的结构。本研究旨在分析焦虑/抑郁对EQ-5D-5L四个身体健康维度反应的潜在影响。方法:采用在线调查和面对面访谈的方式,收集有和没有不同健康状况的参与者的数据。采用广义有序逻辑回归检验焦虑/抑郁对EQ-5D-5L四个身体健康维度的影响。采用多元线性回归分析探讨焦虑/抑郁对EQ-VAS和效用值的影响。一个有向无环图(DAG)被用来确定最小的变量集需要调整的混杂。结果:500名参与者完成了在线调查,509名参与者参加了面对面访谈;237人健康,430人身体有问题,234人精神有问题,108人身心都有问题。根据适用于DAG的图形规则,最终的最低限度充分调整集包括年龄、照顾者、教育水平、性别和健康状况。广义有序逻辑回归表明,焦虑/抑郁水平较高的个体更有可能报告四个身体健康维度的问题。多元线性回归分析表明,焦虑/抑郁与EQ-5D-5L效用值和EQ-VAS评分显著相关,高焦虑/抑郁水平的个体报告的两项测量值均较低。结论:心理健康状况,特别是焦虑和抑郁,可能导致对身体健康方面问题的高度认识,可能会使自我报告的健康数据产生偏差。在临床和治疗环境中处理焦虑和抑郁不仅可以改善心理健康结果,还可以对感知到的身体健康产生积极影响。未来的研究需要建立因果关系。
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来源期刊
CiteScore
7.30
自引率
2.80%
发文量
154
审稿时长
3-8 weeks
期刊介绍: Health and Quality of Life Outcomes is an open access, peer-reviewed, journal offering high quality articles, rapid publication and wide diffusion in the public domain. Health and Quality of Life Outcomes considers original manuscripts on the Health-Related Quality of Life (HRQOL) assessment for evaluation of medical and psychosocial interventions. It also considers approaches and studies on psychometric properties of HRQOL and patient reported outcome measures, including cultural validation of instruments if they provide information about the impact of interventions. The journal publishes study protocols and reviews summarising the present state of knowledge concerning a particular aspect of HRQOL and patient reported outcome measures. Reviews should generally follow systematic review methodology. Comments on articles and letters to the editor are welcome.
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