ArticleCardiovascular diabetology2021
The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.
Article in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- General versus central adiposity as risk factors for cardiovascular-related outcomes in a high-risk population with type 2 diabetes: a post hoc analysis of the REWIND trial.Cardiovascular diabetology · 2023Trial
- Exploratory modeling of etiological factors for cardiovascular diseases within a structured nursing follow-up program.BMC nursing · 2026Article
- 3D body shape-based phenotyping for precision risk stratification of metabolic syndrome.Lipids in health and disease · 2026Article
- Multimodal (Bio)Markers and Risk of Obesity - A Comprehensive Scoping Review.Advances in nutrition (Bethesda, Md.) · 2026Article
- Anthropometric and lipid indices in relation to prediabetes and diabetes: A cross-sectional study in resource-limited areas of northwestern China.Journal of diabetes investigation · 2025Article
- Grip strength, metabolic syndrome, and type 2 diabetes mellitus: a prospective study.Journal of diabetes and metabolic disorders · 2025Article
- Associations between skeletal muscle strength and chronic kidney disease in patients with MASLD.Communications medicine · 2025Article
- Possible association between metabolic dysfunction-associated steatotic liver disease predictors and hand grip strength.Scientific reports · 2025Article
- Handgrip strength and menopause are associated with cardiovascular risk in women with obesity: a cross-sectional study.BMC women's health · 2025Article
- A Longitudinal Assessment of Metabolic Syndrome.Journal of clinical medicine · 2025Article
- Associations between physical fitness components and metabolic syndrome in middle-aged adults: a cross-sectional study using relative strength indicators and ROC analysis.Frontiers in public health · 2025Article
- Efficacy of Fetal Wharton's Jelly Mesenchymal Stem Cells-Derived Small Extracellular Vesicles in Metabolic Syndrome.Biomolecules · 2025Article
- Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR).The journal of nutrition, health & aging · 2025Review
- Factors Affecting Handgrip Strength in Menopausal Women at High Risk of Sarcopenia: A National Population-Based Study.Healthcare (Basel, Switzerland) · 2024Article
- Waist-to-calf circumference ratio as a potential indicator of diabetes risk: results from the Longevity Check-Up (Lookup) 8.Scientific reports · 2024Article
- Grip Strength, Anthropometric Indices, and Their Combination in Screening for Metabolic Syndrome in the Korean Population.Journal of clinical medicine · 2024Article
- Biomarkers and Data Visualization of Insulin Resistance and Metabolic Syndrome: An Applicable Approach.Life (Basel, Switzerland) · 2024Article
- The impact of handgrip strength and waist circumference on glycemic control: Prospective, observational study using outpatient clinical data in Japanese patients with type 2 diabetes mellitus.Journal of diabetes investigation · 2024Observational
- Non-HDL cholesterol and long-term follow-up outcomes in patients with metabolic syndrome.Lipids in health and disease · 2023Article
- Handgrip Strength Is Associated with Specific Aspects of Vascular Function in Individuals with Metabolic Syndrome.Biomedicines · 2023Article
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23 authors.
Funding
Abstract
backgroundAdiposity is a major component of the metabolic syndrome (MetS), low muscle strength has also been identified as a risk factor for MetS and for cardiovascular disease. We describe the prevalence of MetS and evaluate the relationship between muscle strength, anthropometric measures of adiposity, and associations with the cluster of the components of MetS, in a middle-income country.
methodsMetS was defined by the International Diabetes Federation criteria. To assess the association between anthropometric variables (waist circumference (WC), waist-to-hip ratio (W/H), body mass index (BMI)), strength (handgrip/kg bodyweight (HGS/BW)) and the cluster of MetS, we created a MetS score. For each alteration (high triglycerides, low HDLc, dysglycemia, or high blood pressure) one point was conferred. To evaluate the association an index of fat:muscle and MetS score, participants were divided into 9 groups based on combinations of sex-specific tertiles of WC and HGS/BW.
resultsThe overall prevalence of MetS in the 5,026 participants (64% women; mean age 51.2 years) was 42%. Lower HGS/BW, and higher WC, BMI, and W/H were associated with a higher MetS score. Amongst the 9 HGS/BW:WC groups, participants in the lowest tertile of HGS/BW and the highest tertile of WC had a higher MetS score (OR = 4.69 in women and OR = 8.25 in men;p < 0.01) compared to those in the highest tertile of HGS/BW and in the lowest tertile of WC.
conclusionWC was the principal risk factor for a high MetS score and an inverse association between HGS/BW and MetS score was found. Combining these anthropometric measures improved the prediction of metabolic alterations over either alone.
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