ArticleScientific reports2020
Optimal cut-off values for anthropometric measures of obesity in screening for cardiometabolic disorders in adults.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 36 citations in OpenAlex.
- Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.Nutrients · 2026Article
- Age-Related Trends in Dual-Energy X-Ray Absorptiometry-Measured Adiposity and Their Clinical Relevance: A Multicenter Cross-Sectional Study of Korean Peri- and Postmenopausal Women.Medicina (Kaunas, Lithuania) · 2025Article
- Association of relative fat mass with asthma: inflammatory markers as potential mediators.Lipids in health and disease · 2025Article
- Burden of postmenopausal breast cancer attributable to excess body weight: comparative study of body mass index and CUN-BAE in MCC-Spain study.Journal of epidemiology and community health · 2024Article
- Obesity and cardiovascular disease: Risk assessment, physical activity, and management of complications.International journal of cardiology. Cardiovascular risk and prevention · 2024Review
- Body composition-derived abdominal circumference, waist-to-hip ratio, and waist-to-height ratio cut-offs for Ethiopian adults in Northwest Ethiopia, 2023.Journal of health, population, and nutrition · 2024Article
- Muscle function, exercise capacity, physical activity level and cardiovascular disease risk factor knowledge in patients with prolactinoma.Endocrine · 2024Observational
- Italian Association of Hospital Cardiologists position paper-obesity in adults: a clinical primer.European heart journal supplements : journal of the European Society of Cardiology · 2024Article
- Body Mass Index and Waist Circumference as Predictors of Above-Average Increased Cardiovascular Risk Assessed by the SCORE2 and SCORE2-OP Calculators and the Proposition of New Optimal Cut-Off Values: Cross-Sectional Single-Center Study.Journal of clinical medicine · 2024Article
- A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults.European journal of investigation in health, psychology and education · 2023Article
- A longitudinal study evaluating adverse childhood experiences and obesity in adulthood using the Canadian Longitudinal Study on Aging (CLSA).International journal of epidemiology · 2023Article
- Performance of Body Fat Percentage, Fat Mass Index and Body Mass Index for Detecting Cardiometabolic Outcomes in Brazilian Adults.Nutrients · 2023Article
- The urgency in proposing the optimal obesity cutoff value in Indonesian population: A narrative review.Medicine · 2022Review
- Association of obesity anthropometric indices with hypertension, diabetes mellitus and hypertriglyceridemia in apparently healthy adult Nigerian population.World journal of cardiology · 2022Article
- The Role of Bioactive Compounds from Dietary Spices in the Management of Metabolic Syndrome: An Overview.Nutrients · 2021Review
- Prevalence and Socio-Demographic Correlates of Body Weight Categories Among South African Women of Reproductive Age: A Cross-Sectional Study.Frontiers in public health · 2021Article
- Cardiovascular Risk Is Increased in Miner's Chronic Intermittent Hypobaric Hypoxia Exposure From 0 to 2,500 m?Frontiers in physiology · 2021Article
- Development of an Easy-to-Use Prediction Equation for Body Fat Percentage Based on BMI in Overweight and Obese Lebanese Adults.Diagnostics (Basel, Switzerland) · 2020Article
- A Two-Year Follow-Up Cohort Study-Improved Clinical Control over CVD Risk Factors through Weight Loss in Middle-Aged and Older Adults.Journal of clinical medicine · 2020Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Excessive accumulation of body fat (BF) promotes obesity, whilst posing a significant health hazard. There being no agreed, optimal quantifying methods, application of BF variable in clinical practice is not deemed an effective assessment option. The study, involving 4,735 patients (33.6% men), aged 45-64, aimed to identify optimal cut-off values for anthropometric indicators of obesity to evaluate cardiometabolic risk. A minimum P-value approach was applied to calculate the cut-offs for BF%. Threshold values for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height (WHTR) ratio, facilitating optimal differentiation of cardiometabolic risk, were based on BF%, expressed as a binary classifier. The newly estimated cut-off values for predicting cardiometabolic risk, based on BMI, were lower than the referential obesity thresholds, whereas the threshold values of WC, WHR, and WHTR were higher. Apart from dyslipidemia, the odds of cardiometabolic disorders were higher, when the anthropometric indicators under study exceeded the cut-off points in both sexes. The proposed cut-offs proved instrumental in predicting cardiometabolic risk, whilst highlighting diagnostic and clinical potential of BF%, whereas BMI boasted the highest predictive potential. Cardiometabolic risk also proved significantly higher even in the overweight patients.
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