{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T11:48:22Z","timestamp":1792496902416,"version":"4.5.0"},"reference-count":63,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T00:00:00Z","timestamp":1715644800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Aging Neurosci."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A sample of 1,985 diabetic patients was identified, of which 1,889 (95.2%) had multimorbidity; their average age was 60.6\u2009years (standard deviation (SD)\u2009=\u20099.5), and 53.1% were women. Three clusters were identified: \u201ccardio-metabolic\u201d (<jats:italic>n<\/jats:italic>\u2009=\u2009972, 51.5%), \u201cmental-dyslipidemia-arthritis\u201d (<jats:italic>n<\/jats:italic>\u2009=\u2009584, 30.9%), and \u201cmultisystem morbidity\u201d (<jats:italic>n<\/jats:italic>\u2009=\u2009333, 17.6%). Compared with diabetes alone, the \u201cmultisystem morbidity\u201d class had an increased association with global cognitive decline. All patterns of multimorbidity were associated with an increased risk of memory decline and disability; however, the \u201cmultisystem morbidity\u201d group also had the strongest association and presented a higher ADL-IADL disability (ratio\u2009=\u20094.22, 95% CI\u2009=\u20092.52, 7.08) and decline in memory Z scores (<jats:italic>\u03b2<\/jats:italic>\u2009=\u2009\u22120.322, 95% CI\u2009=\u2009\u22120.550, \u22120.095, <jats:italic>p<\/jats:italic>\u2009=\u20090.0058).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnagi.2024.1388656","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T07:25:49Z","timestamp":1715671549000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["The effect of multimorbidity patterns on physical and cognitive function in diabetes patients: a longitudinal cohort of middle-aged and older adults in China"],"prefix":"10.3389","volume":"16","author":[{"given":"Xieting","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan-Juan","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xujun","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,5,14]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.1002\/gps.2642","article-title":"Influence of multimorbidity on cognition in a normal aging population: a 12-year follow-up in the Maastricht aging study","volume":"26","author":"Aarts","year":"2011","journal-title":"Int. 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