Evidence map›Paper›PMID 38808035›Full record

ArticleFrontiers in aging neuroscience2024

The effect of multimorbidity patterns on physical and cognitive function in diabetes patients: a longitudinal cohort of middle-aged and older adults in China.

Xieting Zhou, Juan-Juan Qin, Hang Li, Jiyu Chen, Qing Zhang, Xujun Ye

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Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 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.

Xieting Zhou *School of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.
Juan-Juan Qin *School of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.
Hang LiSchool of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiyu ChenSchool of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qing ZhangSchool of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xujun YeSchool of Nursing, Department of Geriatric, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of diabetes has increased rapidly, and comorbid chronic conditions are common among diabetes patients. However, little is known about the pattern of multimorbidity in diabetes patients and the effect on physical and cognitive function. This study aimed to assess the disease clusters and patterns of multimorbidity in diabetes patients using a novel latent class analysis (LCA) approach in middle-aged and older adults and explore the association between different clusters of multimorbidity in diabetes and the effect on physical and cognitive function. Methods: This national observational study included 1,985 diabetes patients from the four waves of the China Health and Retirement Longitudinal Study (CHARLS) in 2011 to 2018. Thirteen chronic diseases were used in latent class analysis to identify the patterns of multimorbidity in diabetes, which span the cardiovascular, physical, psychological, and metabolic systems. Cognitive function is assessed via a structured questionnaire in three domains: memory, executive function, and orientation. We combined activities of daily living (ADL) with instrumental activities of daily living (IADL) to measure physical function. Linear mixed models and negative binomial regression models were used to analyze the association between patterns of multimorbidity in diabetes and the effect on cognitive function and disability, respectively. Results: A sample of 1,985 diabetic patients was identified, of which 1,889 (95.2%) had multimorbidity; their average age was 60.6 years (standard deviation (SD) = 9.5), and 53.1% were women. Three clusters were identified: "cardio-metabolic" ( Conclusion: Significant longitudinal associations between different patterns of multimorbidity in diabetes patients and memory decline and disability were observed in this study. Future studies are needed to understand the underlying mechanisms and common risk factors for multimorbidity in diabetes patients and to propose treatments that are more effective.

Indexed as

cognitive functiondiabetesdisabilitymultimorbidityphysical function

Identifiers

PMID38808035
PMCPMC11130586

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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.