ArticleThe journal of nutrition, health & aging2020
Sarcopenia, Obesity and Sarcopenia Obesity in Comparison: Prevalence, Metabolic Profile, and Key Differences: Results from WCHAT Study.
Article in The journal of nutrition, health & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 5 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 5 syntheses or guidelines pooled it, 88 citations in OpenAlex.
- Systematic review and meta-analysis of biomarkers of sarcopenia and sarcopenic obesity.Medicine · 2026Pooled it
- Pathophysiological Mechanisms Underlying Sarcopenia and Sarcopenic Obesity: A Systematic Review and Meta-Analysis of Biomarker Evidence.International journal of molecular sciences · 2025Pooled it
- Prevalence of sarcopenic obesity in the older non-hospitalized population: a systematic review and meta-analysis.BMC geriatrics · 2024Pooled it
- Prevalence of sarcopenia in older Chinese adults: a systematic review and meta-analysis.BMJ open · 2021Pooled it
- Prevalence of Sarcopenia Among the Elderly in Korea: A Meta-Analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021Pooled it
- Geriatric and cardiometabolic syndromes in older adults with sarcopenic obesity: a comparative cross-sectional study with sarcopenia and obesity.BMC geriatrics · 2026Article
- Interrelationships between Sarcopenia, Bone Mass, and Metabolic Parameters in Pediatric Obesity.Annals of nutrition & metabolism · 2026Article
- Effects of Computed Tomography Technical Parameters on Body-Composition Analysis.Korean journal of radiology · 2025Review
- Association of the non-HDL cholesterol to HDL cholesterol ratio with possible sarcopenic obesity in Chinese adults.Scientific reports · 2025Article
- Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.Aging clinical and experimental research · 2025Article
- Metabolic and Inflammatory Biomarkers Predicting Sarcopenic Obesity and Cardiometabolic Risk in Arab Women: A Cross-Sectional Study.International journal of molecular sciences · 2025Article
- Article
- Predicting sarcopenia in community-dwelling older adults through comprehensive physical fitness tests.BMC geriatrics · 2024Article
- Differences in sarcopenia indices in elderly Japanese women and their relationships with obesity classified according to waist circumference, BMI, and body fat percentage.Journal of physiological anthropology · 2024Article
- Recent Update on the Prevalence of Sarcopenia in Koreans: Findings from the Korea National Health and Nutrition Examination Survey.Journal of bone metabolism · 2024Article
- The impact of income level on skeletal muscle health in rural Chinese older residents: a study of mediating effects based on dietary knowledge.Frontiers in public health · 2024Article
- The diagnostic agreement of sarcopenic obesity with different definitions in Chinese community-dwelling middle-aged and older adults.Frontiers in public health · 2024Article
- Prevalence of body composition phenotypes and their associations with glycemic, lipidic, and inflammatory biomarkers: a population-based study.Cadernos de saude publica · 2024Article
- A Korean Nationwide Cross-Sectional Study Investigating Risk Factors, Prevalence, and Characteristics of Sarcopenia in Men in Early Old Age.Healthcare (Basel, Switzerland) · 2023Article
- Symptoms of Sarcopenia and Physical Fitness through the Senior Fitness Test.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the prevalence, lifestyle factors, chronic disease status, and assessing the metabolic profile, comparing key differences in a cohort of subjects with non-sarcopenia/non-obesity (H), sarcopenia/non-obesity (S), non-sarcopenia/obesity (O) and sarcopenia obesity (SO) in a multi-ethnic population in west China.
designA cross-sectional study.
settingThe communities in Yunnan, Guizhou, Sichuan, and Xinjiang provinces.
participantsWe included 4,500 participants aged 50 years or older who did bioelectrical impedance in our analysis from West China Health and Aging Trend (WCHAT) study. MEASUREMENTS: We measured gait speed, handgrip strength and muscle mass by using bioelectrical impedance analysis (BIA) for all participants. We defined sarcopenia using the diagnostic algorithm recommended by the Asian Working Group for Sarcopenia (AWGS). Obesity was defined as the highest sex-specific quintile of the percentage body fat. Different variables like anthropometry measures, life styles, chronic disease and blood test were collected. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences of metabolic profiles among different groups.
resultsOf 4500 participants aged 50 years old or older, the proportions of H, O, S, SO were 63.0%, 17.7%, 16.7% and 2.6%, respectively. And the prevalence of S subjects in men was 18.3% and 15.7% in women, while the prevalence of SO was 3.7% in men and 2.0% in women. Data showed that the prevalence of S and SO has an aging increase pattern which was opposite with O. Both S and SO tends to be older, lower educational level, without spouse, smoking, comorbidity of chronic disease, poor nutrition status, depression and cognitive decline compared to H and S seems to be worse than SO. Compared to H, S cohort showed a decrease in Vitamin D, triglyceride, albumin, fasting glucose, insulin, creatinine, ALT, nutrition scores and increase in HDL. SO cohort were observed for an increase in cholesterol, LDL, total protein and decrease in vitamin D. While O cohort showed an increase in triglyceride, cholesterol, LDL, total protein, glucose, insulin, WBC, uric acid, ALT and nutrition scores, but a decrease in HDL and vitamin D level.
conclusionsAmong individuals aged 50 years old or older in West China. S, O and SO participants demonstrate distinct differences in the life-styles, chronic disease profile, and metabolic profiles. The prevalence of S and SO has an aging increase pattern contrary to O. Both S and SO tend to be older, lower educational level, without spouse, smoking, comorbidity of chronic disease, poor nutrition status, depression and cognitive decline compared to H and S looks like to be worse than SO. Besides, the S subjects seem to have more metabolic index changes than SO compared to H. While O subjects have some contrary metabolic index to S subjects.
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