{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Cheng MK"],"funding":["the National Natural Science Foundation of China","the Ministry of Science and Technology of Hubei"],"pagination":["2522970"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12931302"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["57(1)"],"pubmed_abstract":["<h4>Background</h4>Obesity is a known risk factor for diabetic peripheral neuropathy (DPN), but the relationship between body mass index (BMI) and DPN remains controversial.<h4>Aims</h4>This study explores the relationship between weight-adjusted waist index (WWI) and DPN in Chinese patients with Type 2 Diabetes Mellitus (T2DM), with the goal of establishing WWI as an effective tool for the early detection and risk stratification of DPN.<h4>Methods</h4>A total of 1790 participants were included. The relationships between WWI, BMI, WC, and DPN were analyzed using logistic regression, restricted cubic spline, and subgroup analysis, with ROC-AUC used to assess the diagnostic performance of the obesity indices.<h4>Results</h4>During this cross-sectional study, a total of 895 cases of DPN were "],"journal":["Annals of medicine"],"pubmed_title":["Predictive role of weight-adjusted waist index in diabetic peripheral neuropathy among patients with type 2 diabetes mellitus."],"pmcid":["PMC12931302"],"funding_grant_id":["82100922H.R, 82270855 G.Y"],"pubmed_authors":["Kang XN","Guo YY","Zhang ZY","Wang D","Cheng MK","Ren HH","Yuan G"],"additional_accession":[]},"is_claimable":false,"name":"Predictive role of weight-adjusted waist index in diabetic peripheral neuropathy among patients with type 2 diabetes mellitus.","description":"<h4>Background</h4>Obesity is a known risk factor for diabetic peripheral neuropathy (DPN), but the relationship between body mass index (BMI) and DPN remains controversial.<h4>Aims</h4>This study explores the relationship between weight-adjusted waist index (WWI) and DPN in Chinese patients with Type 2 Diabetes Mellitus (T2DM), with the goal of establishing WWI as an effective tool for the early detection and risk stratification of DPN.<h4>Methods</h4>A total of 1790 participants were included. The relationships between WWI, BMI, WC, and DPN were analyzed using logistic regression, restricted cubic spline, and subgroup analysis, with ROC-AUC used to assess the diagnostic performance of the obesity indices.<h4>Results</h4>During this cross-sectional study, a total of 895 cases of DPN were ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-07-09T12:20:32.323Z","creation":"2026-07-09T11:17:30.172Z"},"accession":"S-EPMC12931302","cross_references":{"pubmed":["40551587"],"doi":["10.1080/07853890.2025.2522970"]}}