TY - JOUR
T1 - Waist to height ratio (0.5) as a predictor for prediabetes and type 2 diabetes in Indonesia
AU - Djap, H. S.
AU - Sutrisna, B.
AU - Soewondo, P.
AU - Djuwita, R.
AU - Timotius, K. H.
AU - Trihono,
AU - Sharif, S.
AU - Tjang, Y. S.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/12/5
Y1 - 2018/12/5
N2 - Obesity has became a big problem for many countries. One of the anthropometric measures of risk factor for type 2 diabetes is waist to height ratio (WtHR). Unfortunately, WtHR is varies depend on the different race of nations in the world. There is no standard size that applied internationally. The aim of this study was to find the WtHR cut-off point to predict prediabetes and type 2 diabetes for Indonesia population. This is a cross sectional study. Based on data from National basic health research of Indonesia, year 2013. Subjects aged 15-65 years, that performed fasting glucose and 2 hours post-prandial, height, weight and waist circumference. Total subjects of 26.213 data were analyzed using Stata version 12. The cut-off point of WtHR is 0.5 for male and females to predict the risk of prediabetes and type 2 diabetes for Indonesian population. There is no difference between male and female. WtHR is the best anthropometric measure compared than BMI and waist circumference themselves. WtHR has an AUC = 0.5613 for prediabetes and 0.6606 for type 2 diabetes. Waist circumference >75cm (male) and >80cm (female) and BMI is 22.89kg/m 2 as the cut-off point for predicting prediabetes and type 2 diabetes. The WtHR can be used as a screening tool for predicting risk of prediabetes and type 2 diabetes for Indonesia community. It is a simple, practical and cheap method to predict the risk of prediabetes thus more people can be tested the blood glucose as an early diagnosis and prompt treatment.
AB - Obesity has became a big problem for many countries. One of the anthropometric measures of risk factor for type 2 diabetes is waist to height ratio (WtHR). Unfortunately, WtHR is varies depend on the different race of nations in the world. There is no standard size that applied internationally. The aim of this study was to find the WtHR cut-off point to predict prediabetes and type 2 diabetes for Indonesia population. This is a cross sectional study. Based on data from National basic health research of Indonesia, year 2013. Subjects aged 15-65 years, that performed fasting glucose and 2 hours post-prandial, height, weight and waist circumference. Total subjects of 26.213 data were analyzed using Stata version 12. The cut-off point of WtHR is 0.5 for male and females to predict the risk of prediabetes and type 2 diabetes for Indonesian population. There is no difference between male and female. WtHR is the best anthropometric measure compared than BMI and waist circumference themselves. WtHR has an AUC = 0.5613 for prediabetes and 0.6606 for type 2 diabetes. Waist circumference >75cm (male) and >80cm (female) and BMI is 22.89kg/m 2 as the cut-off point for predicting prediabetes and type 2 diabetes. The WtHR can be used as a screening tool for predicting risk of prediabetes and type 2 diabetes for Indonesia community. It is a simple, practical and cheap method to predict the risk of prediabetes thus more people can be tested the blood glucose as an early diagnosis and prompt treatment.
UR - http://www.scopus.com/inward/record.url?scp=85058332533&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/434/1/012311
DO - 10.1088/1757-899X/434/1/012311
M3 - Conference article
AN - SCOPUS:85058332533
SN - 1757-8981
VL - 434
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012311
T2 - 3rd Annual Applied Science and Engineering Conference, AASEC 2018
Y2 - 18 April 2018
ER -