ArticleEuropean journal of nutrition2018
Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis.
Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Body mass index and gastrointestinal inflammation: Bio-molecular pathophysiology.World journal of gastrointestinal pathophysiology · 2026Review
- Body Composition and COPD: A New Perspective.International journal of chronic obstructive pulmonary disease · 2023Review
- Estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study.Scientific reports · 2021Article
- Commentary: Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.Frontiers in psychology · 2021Article
- Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.European radiology · 2020Article
- Metabolic Score for Visceral Fat (METS-VF) Estimation - A Novel Cost-Effective Obesity Indicator for Visceral Adipose Tissue Estimation.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Famine exposure in early life is associated with visceral adipose dysfunction in adult females.European journal of nutrition · 2019Article
- The Value of Anthropometric Measures in Nutrition and Metabolism: Comment on Anthropometrically Predicted Visceral Adipose Tissue and Blood-Based Biomarkers: A Cross-Sectional Analysis.Nutrition and metabolic insights · 2019Article
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Funding
Abstract
purposeWe hypothesized that anthropometrically predicted visceral adipose tissue (apVAT) accounts for more variance in blood-based biomarkers of glucose homeostasis, inflammation, and lipid metabolism than body mass index (BMI), waist circumference (WC), and the combination of BMI and WC (BMI + WC).
methodsThis was a cross-sectional analysis of 10,624 males and females who participated in the Third National Health and Nutrition Examination Survey (NHANES III; 1988-1994). apVAT was predicted from a validated regression equation that included age, height, weight, waist, and thigh circumferences. Bootstrapped linear regression models were used to compare the proportion of variance (R
resultsapVAT accounted for more variance in biomarkers of glucose homeostasis than BMI (∆R
conclusionsapVAT, estimated with simple and widely used anthropometric measures, accounts for more variance in blood-based biomarkers than BMI, WC, and BMI + WC. Clinicians and researchers may consider utilizing apVAT to characterize cardio-metabolic health, particularly in settings with limited availability of imaging and laboratory data.
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