ArticleNutrients2017
Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students.
Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed, 109 citations in OpenAlex.
- Development and validation of body fat percent prediction equation for screening obesity in adults.Clinical nutrition ESPEN · 2021Trial
- Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.Nutrients · 2026Article
- Cardiometabolic risk and metabolic syndrome with prostate cancer-an inverse probability weighted study.BMC public health · 2026Article
- Relationship between triglyceride-glucose index and all-cause mortality in older adults with sarcopenic obesity.Metabolism open · 2025Article
- Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis.Scientific reports · 2025Article
- Evaluating body composition, the eating behavior scale, and the healthy lifestyle index in female Jordanian adults with metabolic syndrome: a cross-sectional study.Diabetology & metabolic syndrome · 2025Article
- Analysis of the Longitudinal Association Between Parental Feeding Practices and Body Composition Among Children in Shenzhen.Nutrients · 2025Observational
- Diagnostic accuracy of various anthropometric indexes for assessing insulin resistance in the Peruvian population: An analytical cross-sectional study.Journal of public health research · 2025Article
- Association of Parental Feeding Styles with Body Composition Among Children in Two Regions in China.Nutrients · 2025Article
- Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters.International journal of obesity (2005) · 2025Article
- Exploring the relationship between fat mass index and metabolic syndrome among cancer patients in the U.S: An NHANES analysis.Scientific reports · 2025Article
- The Impact of Sarcopenic Obesity on Weight Loss Outcomes and Recurrent Weight Gain Following Laparoscopic Sleeve Gastrectomy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024Article
- Sex specific reference values for body fat among healthy adults: Tehran lipid and glucose study.Journal of diabetes and metabolic disorders · 2024Article
- Assessing the prevalence of obesity in a Russian adult population by six indices and their associations with hypertension, diabetes mellitus and hypercholesterolaemia.International journal of circumpolar health · 2024Article
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- Sex-specific associations between total and regional Fat-to-muscle Mass ratio and cardiometabolic risk: findings from the China National Health Survey.Nutrition journal · 2024Article
- Association of the fat mass index with hepatic steatosis and fibrosis: evidence from NHANES 2017-2018.Scientific reports · 2024Article
- Body composition parameters as predictors of low back pain in rural homemakers of North India.Journal of family medicine and primary care · 2024Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%;
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