ArticlePloS one2025
Association between anthropometric indices and chronic kidney disease: Insights from NHANES 2009-2018.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- The predictive value of a body shape index as a novel obesity metric for cancer risk: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- The Linear Association Between A Body Shape Index and Abdominal Aortic Calcification in Individuals With Hypertension.Clinical cardiology · 2026Article
- Novel lipid and obesity indices with new-onset stroke among adults aged 50 years and older in England.Scientific reports · 2026Article
- Gender-Specific Predictive Utility of Twelve Anthropometric Indices for Metabolic Syndrome in Chinese Lahu Adults with Dyslipidemia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Dynamic interplay of atherogenic index and body roundness in cardio-renal-metabolic disease: a multi-state analysis.BMC public health · 2025Article
- Age-adjusted visceral adiposity index as a predictor of chronic kidney disease: insights from NHANES 2007-2018.Renal failure · 2025Article
- Novel obesity biomarkers as mortality predictors in individuals with CKD: a comparative analysis with traditional anthropometric measures.Renal failure · 2025Article
- Chronic Kidney Disease in Patients With Heart Failure With a Preserved Ejection Fraction: The Underlying Role of Visceral Adiposity.Journal of the American College of Cardiology · 2025Review
- Central Adiposity Assessed with Body Roundness Index and Mortality: The Seguimiento Universidad de Navarra Prospective Cohort.Geriatrics (Basel, Switzerland) · 2025Article
- Life's Crucial 9 score and chronic kidney disease: insights from NHANES 2005-2018 and the mediating role of systemic inflammation and oxidative stress.Frontiers in medicine · 2025Article
- Association between obesity indicators and retinopathy in US adults: NHANES 2005-2008.Frontiers in nutrition · 2025Article
- The association between the ZJU index and chronic kidney disease: Evidence from the NHANES and GEO databases.Digital healthArticle
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7 authors.
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Abstract
introductionThe strong association between obesity and chronic kidney disease (CKD) has been empirically validated, yet traditional measures like the Body Mass Index (BMI) fail to accurately assess the extent of obesity due to CKD's characteristics, such as reduced muscle mass and increased visceral fat. This study investigates the association between CKD and several anthropometric indices, including A Body Shape Index (ABSI), Body Roundness Index (BRI), Waist-to-Height Ratio (WHtR), and the Conicity Index (C-index), to determine their predictive capabilities.
methodsBased on the datasets from the National Health and Nutrition Examination Survey (NHANES) 2009-2018, weighted multivariable regression analyses were carried out to examine the independent relationship between two anthropometric indices and CKD. Also, subgroup analyses, restricted cubic spline regression (RCS), and receiver operating characteristic curve analysis were conducted for further data analyses.
resultsA total of 24,162 participants were enrolled in this study. After adjusting for confounding factors, ABSI, BRI, WHtR, and the C-index were significantly associated with an increased risk of CKD, while BMI was not. Height showed a protective effect against CKD. ABSI and the C-index demonstrated the highest areas under the curve (AUCs), indicating superior predictive capabilities compared to traditional measures like BMI and waist circumference (WC). Subgroup analyses revealed significant interactions between the anthropometric indices and factors such as age, disease status, dietary intake, and physical activity levels.
conclusionsThis study highlights the significant associations between various anthropometric indices (including ABSI, BRI, WHtR, and C-index) and the risk of CKD. ABSI and the C-index demonstrated the strongest predictive capabilities for CKD, with the highest AUC values.
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