Evidence map›Paper›PMID 38353890›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

Multimorbidity patterns and health-related quality of life among community-dwelling older adults: evidence from a rural town in Suzhou, China.

Heng Lu, Xing-Xuan Dong, Dan-Lin Li, Xin-Yi Nie, Pei Wang, Chen-Wei Pan

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Heng Lu *School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Xing-Xuan Dong *School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Dan-Lin LiSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Xin-Yi NieSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
Pei WangSchool of Public Health, Fudan University, Shanghai, China. Wang_p@fudan.edu.cn.
Chen-Wei PanSchool of Public Health, Suzhou Medical College of Soochow University, Suzhou, China. pcwonly@gmail.com.ORCID http://orcid.org/0000-0003-3362-4613

Funding

National Natural Science Foundation of China 72274037
6 · The paper itself

Abstract

purposeThe high prevalence of multimorbidity in aging societies has posed tremendous challenges to the healthcare system. The aim of our study was to comprehensively assess the association of multimorbidity patterns and health-related quality of life (HRQOL) among rural Chinese older adults.

methodsThis was a cross-sectional study. Data from 4,579 community-dwelling older adults aged 60 years and above was collected by the clinical examination and questionnaire survey. Information on 10 chronic conditions was collected and the 3-Level EQ-5D (EQ-5D-3L) was adopted to measure the HRQOL of older adults. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of multimorbidity patterns with specific health dimensions and overall HRQOL.

resultsA total of 2,503 (54.7%) participants suffered from multimorbidity, and they reported lower HRQOL compared to those without multimorbidity. Three kinds of multimorbidity patterns were identified including cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases. The associations between psycho-cognitive diseases/organic diseases and overall HRQOL assessed by EQ-5D-3L index score were found to be significant (β = - 0.097, 95% CI - 0.110, - 0.084; β = - 0.030, 95% CI - 0.038, - 0.021, respectively), and psycho-cognitive diseases affected more health dimensions. The impact of cardiovascular-metabolic diseases on HRQOL was largely non-significant.

conclusionMultimorbidity was negatively associated with HRQOL among older adults from rural China. The presence of the psycho-cognitive diseases pattern or the organic diseases pattern contributed to worse HRQOL. The remarkable negative impact of psycho-cognitive diseases on HRQOL necessiates more attention and relevant medical assistance to older rural adults.

Indexed as

Independent LivingMultimorbidityQuality of LifeRural PopulationAgedAged, 80 and overChinaChronic DiseaseCross-Sectional StudiesFemaleHealth StatusHumansMaleMiddle AgedSurveys and QuestionnairesChinaHealth-related quality of lifeMultimorbidityOlder adultsPatterns

Identifiers

PMID38353890

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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.