Vineetha K Ramdas Nayak1, Kirtana Raghurama Nayak2, Sudha Vidyasagar3, Rekha P4. 1. Department of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India; Department of Physiology, K S Hegde Medical Academy, Nitte Deemed to be University, Mangalore, Karnataka, 575018, India. Electronic address: drvinu1986@gmail.com. 2. Department of Physiology, Kasturba Medical College, Manipal, Manipal, 576104, India; Department of Medical Education, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: kirtananayak@gmail.com. 3. Department of Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: sudha.vs@manipal.edu. 4. Department of Statistics, K S Hegde Medical Academy, Nitte Deemed to be University, Mangalore, Karnataka, 575018, India. Electronic address: vishaka99r@yahoo.com.
Abstract
BACKGROUND AND AIMS: 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. METHODS: 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. RESULTS: The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers. CONCLUSION: TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.
BACKGROUND AND AIMS: 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. METHODS: 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 triglycerideglucose index (TyG index) were derived. TyG related indices such as triglycerideglucose-waist circumference (TyG-WC) and triglycerideglucose-body mass index (TyG-BMI) were also calculated. RESULTS: The novel lipid combined anthropometric indices LAP, VAI, TyG index, TyG-WC and TyG-BMI were significantly higher in subjects with prediabetes of both the genders (p < 0.05). During receiver operating characteristic (ROC) curve evaluation, TyG index (AUC = 0.802) was the superior predictive measure in males, while in females, TyG-WC (AUC = 0.767) was the best among all the markers. CONCLUSION:TyG index and TyG-WC seem to be a superior indicator of prediabetes in the Asian Indian population in comparison with other anthropometric indices to screen prediabetes.
Authors: Emma M S Toh; Amanda Y L Lim; Chua Ming; Leonard L L Yeo; Ching-Hui Sia; Bryce W Q Tan; Aloysius S T Leow; Jamie S Y Ho; Bernard P L Chan; Vijay Kumar Sharma; Benjamin Y Q Tan Journal: Sci Rep Date: 2022-01-31 Impact factor: 4.379