Evidence map›Paper›PMID 41620732›Full record

ArticleHealth and quality of life outcomes2026

The association between disease status and health-related quality of life: evidence from a cross-sectional survey across mainland China.

Xinyi Li, Xuedi Ma, Changcheng Shi, Wangjun Qin, Yibo Wu, Lihong Liu

Abstract read
In one paragraph

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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xinyi Li *Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China.
Xuedi Ma *Medical Research and Biometrics Centre, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Changcheng ShiChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wangjun QinDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, China.
Yibo WuDepartment of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China. wuyiboism@zju.edu.cn.
Lihong LiuDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing, China. llh-hong@outlook.com.

Funding

The CAMS Innovation Fund for Medical Sciences (CIFMS) 2024-I2M-C&T-B-092
6 · The paper itself

Abstract

backgroundThis study aimed to assess the health-related quality of life (HRQoL) among Chinese adults with varying disease statuses.

methodsA cross-sectional study was conducted between June 20 and August 31, 2023 across China. HRQoL was measured using the EQ-5D-5L utility index (UI) and EQ-Visual Analogue Scale (EQ-VAS). Kruskal-Wallis tests compared HRQoL across disease groups, chi-square tests compared problem prevalence within each EQ-5D-5L dimension across disease groups, and Tobit regression examined associations between disease status and HRQoL. Subgroup and interaction analyses assessed effect modification by age, gender, education, employment, and smoking status.

resultsA total of 42,447 participants were included (healthy: 33,408; single chronic disease: 5,084; multimorbidity: 3,955). HRQoL showed a clear gradient: median UI and EQ-VAS scores were 1 (0.95-1) and 80 (64–90) in healthy individuals, 0.95 (0.89-1) and 75 (61–83) in the single chronic disease group, and 0.89 (0.73-1) and 69 (54–81) in the multimorbidity group (all P [Formula: see text] 0.001). Problem prevalence differed significantly among groups for all EQ-5D-5L dimensions. Age, education, smoking, and employment status modified associations between disease status and UI, yet single chronic disease and multimorbidity remained consistently linked to lower UI across all subgroups.

conclusionsHRQoL declined from healthy individuals to those with single chronic disease and multimorbidity. The modifying effects of age, education, smoking, and employment status highlight priority subgroups for targeted interventions. STUDY REGISTRATION: Chinese Clinical Trial Register (ChiCTR), ChiCTR2300072573. Registration Date: June 16, 2023 [Observational study].

Indexed as

Health StatusQuality of LifeAdultAgedChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultimorbiditySurveys and QuestionnairesCross-sectional surveyDisease statusHealth-related quality of lifeMultimorbidity

Identifiers

PMID41620732
PMCPMC13428434

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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.