Trial reportPloS one2019
Capacity adiposity indices to identify metabolic syndrome in subjects with intermediate cardiovascular risk (MARK study).
Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Lipid-adiposity indices outperform traditional and derived anthropometric and biochemical indices for discriminating individuals with metabolic syndrome.Frontiers in endocrinology · 2026Article
- From the Cardiovascular-Kidney-Metabolic Disorders to the Atherosclerotic Cardiovascular Diseases: Their Prevalence Rates and Independent Associations in the SIMETAP Study.Journal of clinical medicine · 2025Article
- CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.The journal of nutrition, health & aging · 2025Article
- Association of the CUN-BAE body adiposity estimator and other obesity indicators with cardiometabolic multimorbidity: a cross-sectional study.Scientific reports · 2024Article
- Novel anthropometric indices for predicting type 2 diabetes mellitus.BMC public health · 2024Article
- Performance of Body Fat Percentage, Fat Mass Index and Body Mass Index for Detecting Cardiometabolic Outcomes in Brazilian Adults.Nutrients · 2023Article
- Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study.Scientific reports · 2022Article
- Changes in Novel Anthropometric Indices of Abdominal Obesity during Weight Loss with Selected Obesity-Associated Single-Nucleotide Polymorphisms: A Small One-Year Pilot Study.International journal of environmental research and public health · 2022Article
- The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults.Scientific reports · 2022Article
- Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers.Frontiers in nutrition · 2022Article
- Increased Adiposity Appraised with CUN-BAE Is Highly Predictive of Incident Hypertension. The SUN Project.Nutrients · 2021Article
- Evaluation of Eight Anthropometric Indices for Identification of Metabolic Syndrome in Adults with Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Comparisons of conventional and novel anthropometric obesity indices to predict metabolic syndrome among vegetarians in Malaysia.Scientific reports · 2020Article
- The Relation of CUN-BAE Index with Body Mass Index and Waist Circumference in Adults Aged 50 to 85 Years: The MCC-Spain Study.Nutrients · 2020Article
- Article
- The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome.Nutrients · 2019Article
- Relationship between body-roundness index and metabolic syndrome in type 2 diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity increases mortality, and is linked to cardiovascular diseases and metabolic syndrome (MetS). Therefore, the purpose of this study was to analyze the ability of different adiposity indices to identify subjects with MetS among people with intermediate cariovascular risk. MATERIALS AND
methodsThe cross-sectional study involved 2478 subjects, recruited by the MARK study. Adiposity measures: general adiposity by body mass index (BMI), central adiposity by waist-to-height ratio (WHtR), fat mass percent by the Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), percentage of body fat and of visceral adipose tissue by body roundness index (BRI) and visceral obesity and general adiposity with body shape index (ABSI). The diagnosis of MetS was made in accordance with the criteria established in the international consensus of the Joint Scientific Statement National Cholesterol Education Program III.
resultsThe highest correlation coefficients were obtained by the glycemic components (HbA1c and FPG) of the MetS and ranged from 0.155 to 0.320. The exception was ABSI, which showed lower values in the global analysis and in the males. Values of the area under the ROC curve with the adiposity indices ranged from 0.773 with the BMI in males to 0.567 with ABSI in males. In the logistic regression analysis, all adiposity factors, except ABSI, showed similar OR values of MetS after adjusting for possible confounding factors. In the global analysis, the adiposity index that showed a highest OR of MetS was CUN-BAE (OR 5.50; 95% CI 4.27-7.09). In the analysis by gender, the highest ORs were BMI in males (OR 5.98; 95% CI 4.70-7.60) and both WHtR and BRI in females (OR 4.15; 95% CI 3.09-5.58).
conclusionAll adiposity indices, except for ABSI, show an association with MetS and similar ability to detect subjects with MetS among people with intermediate cariovascular risk.
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