ArticleNutrients2018
Association of Muscular Fitness and Body Fatness with Cardiometabolic Risk Factors: The FUPRECOL Study.
Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Trial
- Body roundness index outperforms traditional obesity metrics in predicting cardiometabolic risk among children and adolescents: the EMSNGS study.Frontiers in nutrition · 2026Article
- Effects of six traditional Chinese mind-body exercises on obesity and cardiovascular risk factors in middle-aged and elderly hypertensive patients: a network Meta-Analysis of 49 RCTs.BMC cardiovascular disorders · 2025Article
- Effects of 12-week combined whole-body electric muscle stimulation and lower-extremity strength training on body composition, blood lipid levels, and isokinetic muscle function of patients with obesity and knee pain.Physical activity and nutrition · 2025Article
- Clustered Cardiometabolic Risk and the "Fat but Fit Paradox" in Adolescents: Cross-Sectional Study.Nutrients · 2024Article
- Grip strength positively correlates with blood pressure in individuals with abnormal adiposity.Journal of human hypertension · 2024Article
- Waist-to-height ratio and body roundness index: superior predictors of insulin resistance in Chinese adults and take gender and age into consideration.Frontiers in nutrition · 2024Article
- Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?Nutrients · 2019Article
- Muscle Fitness to Visceral Fat Ratio, Metabolic Syndrome and Ideal Cardiovascular Health Metrics.Nutrients · 2018Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
This study investigated the associations of muscular fitness and various indicators of body fatness with cardio-metabolic risk factors and determined the muscular strength and body fatness thresholds for detecting a high risk of cardio-metabolic dysfunction in young adults. A cross-sectional study was conducted on 1798 collegiate students (61.5% females, mean age 20.5 years). Muscular fitness was determined by using a handgrip strength test and normalized grip strength (NGS = handgrip (kg)/body mass (kg)). Body mass index (BMI), waist circumference (WC), percentage of fat mass (BF%), fat-mass index (FMI), and waist-to-height ratio (WHR) were also included as body fatness measurements. A high cardio-metabolic risk cluster was derived by assessing triglycerides, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, fasting glucose, and blood pressure. Logistic regression models showed that men and women with lower NGS had an increased cardio-metabolic risk odds ratio (OR) = 1.8, 95% confidence interval (CI) 1.1 to 2.9,
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