Xinyan Bi1, Yi Ting Loo2, Christiani Jeyakumar Henry3. 1. Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research and National University Health System, Singapore. 2. Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research and National University Health System, Singapore; Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. 3. Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research and National University Health System, Singapore; Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: Jeya_henry@sics.a-star.edu.sg.
Abstract
OBJECTIVES: Insulin resistance (IR) is important in the pathogenesis of diabetes, the prevalence of which has become a major public health threat in Asia. The aim of this study was to use ultrasound measurements of abdominal fat thickness to predict IR and low high-density lipoprotein cholesterol (HDL-C) levels among Singaporean adults. METHODS: A total of 399 healthy Singaporeans (mean age 36.7 ± 14.3 y; 43.4% men) took part in this study. Preperitoneal fat thickness (PFT) and subcutaneous fat thickness (SFT) were determined by ultrasound. RESULT: We found that both PFT and SFT had significant positive correlations (P < 0.05) with fasting insulin concentration, homeostasis model assessment of insulin resistance, triacylglycerol (TG), and blood pressure, and negatively correlated to serum HDL-C in all participants. Separating men and women, PFT was an independent determinant of IR and low HDL-C only in men. On receiver-operating characteristic curve analysis, PFT ≥1.2 cm was the optimal cutoff value to identify IR and low HDL-C in men. On the other hand, SFT was the determinant of IR, elevated TG, and low HDL-C only in women. An SFT of 1.1 cm was the optimal cutoff value to define IR, elevated TG, and low HDL-C in women. CONCLUSIONS: Results of this study suggested that ultrasound measurements of PFT and SFT could provide simple and useful indices of IR and lipid disorders for healthy Singaporean men and women. They might have the diagnostic values for predicting cardiovascular risks in this population.
OBJECTIVES:Insulin resistance (IR) is important in the pathogenesis of diabetes, the prevalence of which has become a major public health threat in Asia. The aim of this study was to use ultrasound measurements of abdominal fat thickness to predict IR and low high-density lipoprotein cholesterol (HDL-C) levels among Singaporean adults. METHODS: A total of 399 healthy Singaporeans (mean age 36.7 ± 14.3 y; 43.4% men) took part in this study. Preperitoneal fat thickness (PFT) and subcutaneous fat thickness (SFT) were determined by ultrasound. RESULT: We found that both PFT and SFT had significant positive correlations (P < 0.05) with fasting insulin concentration, homeostasis model assessment of insulin resistance, triacylglycerol (TG), and blood pressure, and negatively correlated to serum HDL-C in all participants. Separating men and women, PFT was an independent determinant of IR and low HDL-C only in men. On receiver-operating characteristic curve analysis, PFT ≥1.2 cm was the optimal cutoff value to identify IR and low HDL-C in men. On the other hand, SFT was the determinant of IR, elevated TG, and low HDL-C only in women. An SFT of 1.1 cm was the optimal cutoff value to define IR, elevated TG, and low HDL-C in women. CONCLUSIONS: Results of this study suggested that ultrasound measurements of PFT and SFT could provide simple and useful indices of IR and lipid disorders for healthy Singaporean men and women. They might have the diagnostic values for predicting cardiovascular risks in this population.
Authors: Alexandra Cremona; Kevin Hayes; Clodagh S O'Gorman; Ciara Ní Laighin; Khadijah I Ismail; Alan E Donnelly; Jill Hamilton; Amanda Cotter Journal: BMC Med Imaging Date: 2019-12-17 Impact factor: 1.930