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Accuracy of Novel Anthropometric Indices for Assessing the Risk for Progression of Prediabetes to Diabetes; 13 Years of Results From Isfahan Cohort Study Publisher Pubmed



Fakhrolmobasheri M1 ; Shafie D2 ; Manshaee B2 ; Karbasi S2 ; Mazroui A2 ; Najafabadi MM2 ; Mazaheritehrani S1, 3, 4 ; Sadeghi M5 ; Roohafza H5 ; Emamimeybodi M6, 7 ; Heidarpour M8 ; Rabanipour N9 ; Sarrafzadegan N1
Authors
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Authors Affiliations
  1. 1. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Heart Failure Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Student Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  5. 5. Cardiac Rehabilitation Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  6. 6. UCLA Cardiac, Arrhythmia Center, University of California, Los Angeles, CA, United States
  7. 7. UCLA Neurocardiology Program of Excellence, University of California, Los Angeles, CA, United States
  8. 8. Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  9. 9. Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Archives of Endocrinology and Metabolism Published:2024


Abstract

Objective: We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes. Subjects and methods: This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients’ data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices. Results: From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627). Conclusion: Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes. © AE & M all rights reserved.
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