ArticleEpidemiology and health2018
Association of appendicular skeletal muscle mass with carotid intima-media thickness according to body mass index in Korean adults.
Article in Epidemiology and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Association between body composition indices and vascular health: a systematic review and meta-analysis.Eating and weight disorders : EWD · 2025Pooled it
- Relationship Between Body Composition With Carotid Intima Media Thickness in Young Adults: Tehran Lipid and Glucose Study.Endocrinology, diabetes & metabolism · 2026Article
- Research Progress on the Association Between Sarcopenic Obesity and Atherosclerosis: Current Status and Challenges.Journal of clinical medicine · 2025Review
- Biological Sex and the Association Between Grip Strength and Cardiovascular Disease: a Scoping Review.Canadian geriatrics journal : CGJ · 2025Review
- A multifaceted and inclusive methodology for the detection of sarcopenia in patients undergoing bariatric surgery: an in-depth analysis of current evidence.Reviews in endocrine & metabolic disorders · 2024Review
- Interrelationship of Sarcopenia and Cardiovascular Diseases: A Review of Potential Mechanisms and Management.Journal of the ASEAN Federation of Endocrine Societies · 2024Review
- Low appendicular skeletal muscle index increases the risk of carotid artery plaque in postmenopausal women with and without hypertension/hyperglycemia: a retrospective study.BMC geriatrics · 2023Article
- Quantification of Plasma Kynurenine Metabolites Following One Bout of Sprint Interval Exercise.International journal of tryptophan research : IJTR · 2020Article
- Presarcopenia Is an Independent Risk Factor for Carotid Atherosclerosis in Chinese Population with Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Cohort Profile: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort in Korea.Yonsei medical journal · 2019Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
objectivesThe combined effects of obesity and appendicular skeletal muscle (ASM) on atherosclerosis, especially in middleaged populations, remain poorly understood. This cross-sectional study investigated the effects of ASM on carotid intima-media thickness (IMT) according to body mass index (BMI) in middle-aged Korean adults.
methodsHerein, 595 men and 1,274 women aged 30-64 years completed questionnaires and underwent health examinations as part of the Cardiovascular and Metabolic Disease Etiology Research Center cohort. ASM was measured via bioelectrical impedance analysis and adjusted for weight (ASM/Wt). IMT was assessed using B-mode ultrasonography; highest quartile of IMT was defined as gender-specific top quartile of the IMT values. Higher BMIs was defined as a BMI over 25.0 kg/m2 .
resultsCompared to the highest ASM/Wt quartile, the lowest ASM/Wt quartile was significantly associated with highest quartile of IMT in men with lower BMIs (adjusted odds ratio [aOR], 2.78; 95% confidence interval [CI], 1.09 to 7.13), but not in those with higher BMIs (aOR, 0.59; 95% CI, 0.24 to 1.91). In women, there was no significant association of low skeletal muscle mass with highest quartile of IMT, regardless of BMI.
conclusionsLow appendicular skeletal muscle mass is associated with carotid arterial wall thickening in men with lower BMIs, but not in men with higher BMIs. Our findings suggest that the risk of atherosclerosis may be low in middle-aged Korean men with appropriate body weight and skeletal muscle mass maintenance.
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Registered trials
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.