Novel anthropometric parameters in the adult population with prediabetes

A. Klisic, I. Radoman Vujačić, J. Kostadinovic, D. Patoulias, A. Ninic

Faculty of Medicine, University of Montenegro, Primary Health Care Center, Podgorica, Montenegro. aleksandranklisic@gmail.com

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• Diabetes

OBJECTIVE: Although it is assumed that novel-derived anthropometric indices can better reflect cardiometabolic risk than traditional ones, the results are conflicting. Previous studies have mainly focused on patients with type 2 diabetes mellitus. However, studies conducted on populations with prediabetes are scarce. The present study aimed to examine the potential relationship between prediabetes and novel anthropometric parameters [that is, cardiometabolic index (CMI), visceral adiposity index (VAI), lipid accumulation product index (LAP), body roundness index (BRI), and body adiposity index (BAI)] and traditional parameters [that is, waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR)] in adults with prediabetes.

PATIENTS AND METHODS: This case-control cross-sectional study included 177 patients with prediabetes and 609 control subjects. Biochemical and simple anthropometric parameters were measured (WC, HC, body weight, and height), whereas the other parameters were calculated.

RESULTS: WC, CMI, VAI, and LAP independently correlated with prediabetes. Principal component analysis (PCA) was used to extract several factors that correlated with prediabetes. Significant predictive capability was demonstrated for non-traditional anthropometric/lipid-related factors and WHipR-related factors for prediabetes (OR=1.334 and OR=1.202, respectively). However, only non-traditional anthropometric/lipid-related factors (i.e., VAI, CMI, and LAP) demonstrated an independent significant positive relationship with prediabetes in multivariate binary regression analysis.

CONCLUSIONS: CMI, VAI, and LAP could be superior to BAI, BRI, and conventional anthropometric parameters for discriminating patients with prediabetes in the adult population. Prospective trials are needed to confirm our results.

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