ArticleEndocrine connections2024
Association of weight-adjusted waist index and diabetic kidney disease in type 2 diabetes mellitus.
Article in Endocrine connections, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Causal insights into major risk factors for diabetic kidney disease: a comprehensive meta-analysis and Mendelian randomization study.Renal failure · 2025Pooled it
- Association between weight-adjusted waist index and cardiovascular disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Age- and sex-specific associations of underweight and excess adiposity with incident CKD in type 2 diabetes: nationwide Korean cohort study.Frontiers in endocrinology · 2026Article
- Association analysis of weight-adjusted waist index with hypertension and its subtypes.Frontiers in public health · 2026Article
- Association between skeletal muscle mass to visceral fat area ratio and insulin resistance in type 2 diabetes.Journal of diabetes and metabolic disorders · 2025Article
- Predictive role of weight-adjusted waist index in diabetic peripheral neuropathy among patients with type 2 diabetes mellitus.Annals of medicine · 2025Article
- Weight-adjusted-waist index is associated with urinary albumin-creatinine ratio in normal body mass index adults: a cross-sectional study from NHANES 2001-2018.Scientific reports · 2025Article
- Association between obesity indicators and retinopathy in US adults: NHANES 2005-2008.Frontiers in nutrition · 2025Article
- Sex-specific associations of the controlling nutritional status score with diabetic kidney disease among Chinese individuals: a retrospective cross-sectional study.Frontiers in nutrition · 2025Article
- Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study.Scientific reports · 2024Article
- The relationship between weight-adjusted-waist index and suicidal ideation: evidence from NHANES.Eating and weight disorders : EWD · 2024Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study was to investigate the relationship between weight-adjusted-waist index (WWI) and diabetic kidney disease in individuals afflicted with type 2 diabetes. Methods: Comprehensive data were ascertained from the National Health and Nutrition Examination Survey in 2013-March 2020. Weighted univariate, multivariate logistic regression models, subgroup analyses and tests for interaction were performed. Additionally, we employed smooth curve fitting to assess linear correlations and the threshold effects were calculated by applying a binary linear regression model. Breakpoints are identified by a model with maximum likelihood ratio and a two-step recursive approach. Receiver operating characteristic curve (ROC) along with the area under the curve (AUC) value predict the capability of WWI and body mass index for diabetic kidney disease. Results: A total of 10,661 individuals diagnosed with type 2 diabetes were included, and the overall prevalence of diabetic kidney disease was 20.74%. WWI exhibited a positive correlation with the likelihood of diabetic kidney disease in type 2 diabetes patients (OR: 1.17, 95% CI: 1.03-1.33). The results of subgroup analysis showed significant interaction for gender (P < 0.05). Among female patients, U-shaped correlations were observed with a breakpoint at 11.48. Additionally, weight-adjusted waist index (AUC = 0.664) proved to be a more effective predictor of diabetic kidney disease compared to body mass index (AUC = 0.555). Conclusion: In patients with type 2 diabetes, increased weight-adjusted-waist index is implicated with an increased risk of diabetic kidney disease. WWI can be used as a new anthropometric index to predict diabetic kidney disease, and its predictive ability is stronger than body mass index.
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Registered trials
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