Evidence map›Paper›PMID 42068405›Full record

ArticleEating and weight disorders : EWD2026

Association of the skeletal muscle mass-to-visceral fat area ratio with cardiovascular disease: a cross-sectional study based on NHANES.

Ruixue Li, Tianqi Liu, Wei Xin, Zi Liang, Chenguang Zhao, Zinan Zhao, Tian Zhang, Fei Zhao, Wenfeng Xu, Pengfei Jin

Abstract read
In one paragraph

Article in Eating and weight disorders : EWD, 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

10 authors.

Ruixue Li *Department of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Tianqi Liu *Department of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Wei XinDepartment of Pharmacy, Xizang Autonomous Region People's Hospital, Lhasa, 850000, China.
Zi LiangDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Chenguang ZhaoShengjing Hospital of China Medical University, Shenyang, 110004, China.
Zinan ZhaoDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Tian ZhangDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Fei ZhaoDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
Wenfeng XuDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China. xuwenfenghill@126.com.
Pengfei JinDepartment of Pharmacy, Beijing Hospital, National Center for Gerontology; National Clinical Research Center for Gerontology; The Key Laboratory of Geriatrics of NHC; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China. j790101@163.com.

Funding

National High Level Hospital Clinical Research Funding BJ-2025-141The Capital Funds for Health Improvement and Research (CFH) 2024-1-4052
6 · The paper itself

Abstract

purposeTo examine the association between the skeletal muscle mass-to-visceral fat area ratio (SVR) and prevalent cardiovascular disease (CVD) in a nationally representative U.S. POPULATION:

methodsWe analyzed data from the U.S. National Health and Nutrition Examination Survey (NHANES), 2011-2018. Associations of SVR with composite CVD and its subtypes (heart failure [HF], coronary heart disease [CHD], angina pectoris [AP], myocardial infarction [MI], or stroke) were estimated using multivariable logistic models; linear trend across SVR tertiles was tested, and nonlinearity was assessed using restricted cubic spline (RCS) models. Subgroup analyses assessed heterogeneity.

resultsThe sample comprised 9,997 participants. In multivariable-adjusted logistic models, higher SVR was associated with lower odds of CVD (Model 4: OR = 0.44; 95% CI 0.29-0.67; P < 0.001), with a dose-response (P for trend = 0.001). In subtype analyses, the highest SVR category was associated with lower odds of HF (OR = 0.42, 95% CI 0.18-0.96; P = 0.047), CHD (OR = 0.28, 95% CI 0.11-0.71; P = 0.011), and MI (OR = 0.33, 95% CI 0.11-0.94; P = 0.045), with significant trends for all three outcomes (P for trend < 0.05). RCS models showed nonlinear associations of SVR with composite CVD, CHD, and MI, but not with HF, stroke or AP. Subgroup analyses detected interactions for poverty-income ratio (PIR) and BMI strata (both P for interaction = 0.005).

conclusionHigher SVR may be a potential CVD risk marker, whereas associations with AP and stroke were weak or non-significant. Prospective validation is warranted. LEVEL OF EVIDENCE: Level V-cross-sectional observational study.

Indexed as

Cardiovascular DiseasesIntra-Abdominal FatMuscle, SkeletalAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesCardiovascular diseaseCross-sectional studyNHANESSkeletal muscle mass-to-visceral fat area ratio

Identifiers

PMID42068405
PMCPMC13279384

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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.