Evidence map›Paper›PMID 42787285›Full record

ArticleFrontiers in public health2026

Cardiometabolic multimorbidity and cognitive-functional transitions across international ageing cohorts.

Ming Li, Xiaoyu Pan, Xi Li, Xian Wu, Jiale Cai, Lei Li, Hailong Lu

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ming Li *Department of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xiaoyu Pan *Department of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xi Li *Department of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xian WuDepartment of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jiale CaiDepartment of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Lei LiDepartment of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Hailong LuDepartment of Geriatrics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiometabolic multimorbidity (CMM) may accompany changes in cognition and everyday function in later life. We reassessed these associations across international ageing cohorts while addressing outcome structure, unequal threshold severity, measurement precision, repeated observations, mortality and non-death attrition. Methods: We harmonised repeated observations from HRS, ELSA, CHARLS, KLoSA, MHAS and SHARE. Within-interval change in a complete four-condition CMM count (hypertension, diabetes, heart disease and stroke) was used in continuous analyses, whereas transition analyses used interval-baseline CMM4. Fixed-reference, non-overlapping cognitive and functional composites were constructed by cohort. Continuous outcomes were paired cognitive and functional worsening, analysed with participant-clustered Gaussian GEE and a CMM-by-domain interaction. Binary outcomes were any cognitive and any functional transition using cohort-wave-specific thresholds targeting 20% occupancy; sensitivity analyses included 15, 25%, historical -0.43/+0.43, stricter -0.67/+0.67 and persistent-state definitions. Logistic GEE estimates were pooled using REML with Hartung-Knapp confidence intervals. Results: The data included 236,088 people, 172,518 with at least two waves, and 523,570 scheduled-wave or terminal-death intervals. In 361,562 paired intervals across six cohorts, each additional CMM condition accumulated was associated with cognitive worsening ( Conclusion: CMM was associated with worsening in both continuous domains, with a larger functional coefficient, and with more consistent distribution-defined functional than cognitive transitions. Associations were mainly synchronous, although a smaller delayed cognitive association was observed. Binary states are not diagnoses of mild cognitive impairment, dementia or clinical dependence; findings do not establish causality or a validated screening rule.

Indexed as

AgingCardiovascular DiseasesCognitionMultimorbidityAgedAged, 80 and overCohort StudiesFemaleHumansMalecardiometabolic diseasecognitive ageingfunctional limitationinternational cohortslongitudinal analysismultimorbidity

Identifiers

PMID42787285
PMCPMC13600987

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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.