Evidence map›Paper›PMID 41742241›Full record

ArticleHealth and quality of life outcomes2026

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

Yanming Hong, Zhihao Yang, Nan Luo, Jan Busschbach

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Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yanming HongScience & Research Section, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, P.R. China.
Zhihao YangHealth Services Management School, Guizhou Medical University, Guiyang, 550002, P.R. China. Zhihao_yang_cn@126.com.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jan BusschbachDepartment of Psychiatry, Section Medical Psychology, Erasmus Medical Center, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOur 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.

methodsAn 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.

results500 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.

conclusionMental 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.

Indexed as

AnxietyDepressionHealth StatusQuality of LifeSelf ReportAdultAgedFemaleHumansInterviews as TopicMaleMiddle AgedPsychological Well-BeingPsychometricsSurveys and QuestionnairesAnxiety/depressionEQ-5D-5LHealth-related quality of life (HRQoL)Physical health

Identifiers

PMID41742241
PMCPMC13040876

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.