Evidence map›Paper›PMID 41530483›Full record

ArticleAging clinical and experimental research2026

Prevalence, influencing factors, and dementia outcome of sarcopenic obesity in China.

Xianzhi Li, Yajie Li, Meiying Shen, Zonglei Zhou, Shunjin Liu, Li Yin, Qian Zhu, Xiangyi Xing

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 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

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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

8 authors.

Xianzhi Li *Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
Yajie Li *Tibet Center for Disease Control and Prevention, Lhasa, China.
Meiying Shen *Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
Zonglei ZhouShanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Shunjin LiuMeteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
Li YinMeteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China. 425281415@qq.com.
Qian ZhuMeteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China. zhuqian028@outlook.com.
Xiangyi XingMeteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China. xianzhi_scu@163.com.

Funding

Panzhihua Meteorological Medical Research Center Construction Project 2025WSKJ-01Research Project of Sichuan Nursing Association H24034Sichuan Science and Technology Program 2025ZNSFSC1600
6 · The paper itself

Abstract

backgroundThis study examines the epidemiology of sarcopenic obesity (SO) in China, focusing on national prevalence, modifiable influencing factors, and its longitudinal association with dementia risk in middle-aged and older adults.

methodsUsing the 2015 wave of the China Health and Retirement Longitudinal Study (CHARLS), SO prevalence was estimated nationally and regionally using Bayesian spatial modeling. Modifiable influencing factors were identified via multivariable logistic regression, with their relative contributions quantified using Extreme Gradient Boosting (XGBoost). The association between baseline SO (2015) and incident dementia risk (2018) was assessed using multivariable logistic regression.

resultsAmong 10,256 participants aged ≥ 45 years, the national SO prevalence was 6.40% (95% Bayesian confidence intervals [BCIs]: 6.39-6.41%), with significant regional variation (Northern region: 8.60% [8.59-8.61%]; Southern region: 4.90% [4.86-4.94%]). Older age, female sex, hypertension, and depressive symptoms showed statistically significant associations with SO. Age emerged as the strongest predictor in XGBoost analysis. Compared to normal-weight individuals without sarcopenia, those with normal-weight sarcopenia had 63% higher dementia risk (odds ratio [OR] = 1.63; 95% confidence interval [CI]: 1.04-2.58), while SO individuals showed 89% increased risk (OR = 1.89; 95% CI: 1.67-2.15).

conclusionThese findings emphasize the significant geographic disparity in SO prevalence across China and reveal that SO is associated with a substantially elevated risk of dementia, underscoring the need for targeted interventions in aging populations.

Indexed as

DementiaObesitySarcopeniaAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRisk FactorsDementiaGeographic disparitiesInfluencing factorsPrevalenceSarcopenic obesity

Identifiers

PMID41530483
PMCPMC12819534

What Socratic holds

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LicenceCC BY
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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.