Predictive performance of traditional and novel lipid combined anthropometric indices to identify prediabetes.

Diabetes & Metabolic Syndrome
Vineetha K Ramdas NayakRekha P

Abstract

Diabetes mellitus is one of the critical public health challenges in the Indian healthcare scenario. Novel anthropometric indices are promising surrogate markers to detect prediabetes compared to the traditional anthropometric indices that only reflect gross obesity. Thus, the authors aim to analyse the potential of three novel lipid combined anthropometric indices in predicting prediabetes in the Asian Indian population. We conducted an age and gender-matched case-control study to identify the predictors of prediabetes. Prediabetes was diagnosed as per the American Diabetes Association (ADA) guidelines 2010. The traditional anthropometric measurements including waist circumference (WC), waist to hip ratio (WHR) and body mass index (BMI) were executed using standardised methods. Fasting lipid profile was obtained and using standardised formulas, the novel lipid combined anthropometric indices such as lipid accumulation product (LAP), visceral adiposity index (VAI) and triglyceride glucose index (TyG index) were derived. TyG related indices such as triglyceride glucose-waist circumference (TyG-WC) and triglyceride glucose-body mass index (TyG-BMI) were also calculated. The novel lipid combined anthropometric indices LAP, VAI, Ty...Continue Reading

Citations

Apr 10, 2021·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Xintong GuoMin Liang
Jul 3, 2021·International Journal of Molecular Sciences·Elena BarbuSerban-Mihai Balanescu
Aug 29, 2021·European Journal of Clinical Investigation·Fernando Vidal-OstosJose Alfredo Martinez

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