Evidence mapPaperPMID 41401243Full record

ArticleJMIR aging2025

Transitions in Sarcopenia Status and Cognitive Trajectories Among Middle-Aged and Older Adults in China: Longitudinal Cohort Study.

Chun Luo, Hao Wu, Xiaoying Shen, Shuang Han, Lv Lin, Bingyang Liu

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Article in JMIR aging, 2025. 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chun LuoDepartment of Endocrinology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.ORCID http://orcid.org/0000-0003-1253-5187
Hao WuNingbo Institute of lnnovation for Combined Medicine and Engineering, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.ORCID http://orcid.org/0000-0002-9925-0127
Xiaoying ShenDepartment of Endocrinology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.ORCID http://orcid.org/0000-0002-0618-0423
Shuang HanDepartment of Geriatrics, Hangzhou First People's Hospital, Hangzhou, China.ORCID http://orcid.org/0000-0001-9736-0093
Lv LinNingbo Municipal Center for Disease Control and Prevention, Ningbo, China.ORCID http://orcid.org/0000-0002-0842-1817
Bingyang LiuDepartment of Geriatrics, The Affiliated Lihuili Hospital of Ningbo University, No. 57 Xingning Road, Ningbo, China, 86 15257499611.ORCID http://orcid.org/0000-0001-8479-778X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Baseline sarcopenia has been linked to cognitive decline in older adults; however, the impact of longitudinal changes in sarcopenia status on cognitive trajectories remains unclear. Objective: This aims to examine the association between 2-year transitions in sarcopenia status and subsequent 5-year cognitive trajectories among middle-aged and older adults in China. Methods: We analyzed data from 8189 participants (median age 58, IQR y; n=432952.9% female) in the China Health and Retirement Longitudinal Study. Sarcopenia status was determined in 2011 and 2013 according to the 2019 Asian Working Group for Sarcopenia criteria, and participants were classified into 7 transition groups based on status changes. Cognitive function was assessed from 2013 to 2018 using standardized z scores for executive function and episodic memory. Linear mixed-effects models were applied to evaluate associations between sarcopenia transitions and cognitive trajectories, adjusting for demographic, lifestyle, and health-related covariates. Results: Progression from a nonsarcopenic state was associated with greater cognitive decline compared to stable nonsarcopenia (β=-0.016, 95% CI -0.026 to -0.007; P<.001), with greater decline observed among those progressing from possible sarcopenia to sarcopenia (β=-0.027, 95% CI -0.054 to -0.001; P=.04). In contrast, regression from possible sarcopenia was associated with improved cognitive performance (β=0.028, 95% CI 0.015-0.041; P<.001). No significant improvement was observed among individuals regressing from established sarcopenia. Subgroup analyses showed consistent benefits of regression from possible sarcopenia across sex, age, residence, and education groups, except among urban residents (P=.05). Conclusions: Progression in sarcopenia status was independently associated with accelerated cognitive decline, whereas regression from possible sarcopenia predicted cognitive benefit. These findings highlight possible sarcopenia as a clinically actionable and potentially reversible stage and underscore the importance of early identification and intervention to preserve cognitive health in aging populations.

Indexed as

CognitionCognitive DysfunctionSarcopeniaAgedChinaDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedagingChina Health and Retirement Longitudinal Studycognitive functionlongitudinal studiessarcopenia

Identifiers

PMID41401243
PMCPMC12707442

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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 Socratic graph.