Levels of Blood Glucose, Lipid Profile, and Non-Insulin-Based Insulin Resistance Indices in Thai Adults Without Non-Communicable Diseases (NCDs) in Rangsit Municipality Community, Pathum Thani, Thailand

Onguma Natalang; Srinuan Somroop; Teerakul Arpornsuwan

Authors

Onguma Natalang Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Rangsit Campus, Pathum Thani Province, Thailand
Srinuan Somroop Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Rangsit Campus, Pathum Thani Province, Thailand
Teerakul Arpornsuwan Healthcare Service Center, Faculty of Allied Health Sciences, Thammasat University, Rangsit Campus, Pathum Thani Province, Thailand

Keywords:

Blood glucose, Lipid profile, METS-IR, Non-insulin-based insulin resistance indices, Thai subjects without NCDs

Abstract

Predicting the risk of non-communicable diseases (NCDs) is important for early detection and prevention for the diseases. Non-insulin-based insulin resistance indices are a simple tool that can help assess insulin resistance (IR) and predict the risk of NCDs. This study aims to examine levels of blood glucose, lipid profile, and non-insulin-based insulin resistance indices of Thai adults without NCD using the health data of the annual health examination in 2019 (n = 320). A retrospective cross-sectional study was conducted by collecting and analyzing data from 320 Thai adults without NCDs in Rangsit Municipality community, Pathum Thani. Four non-insulin-based insulin resistance indices were calculated: the metabolic score for insulin resistance (METS-IR), the triglycerides and glucose index (TyG), the triglycerides glucose-body mass index (TyG-BMI), and the triglycerides to high-density lipoprotein-cholesterol ratio (TG/HDL-C). No significant differences in METS-IR, TyG, TyG-BMI, TG/HDL-C, and BMI were observed between male and female participants. METS-IR was significantly positively correlated with body weight, systolic and diastolic blood pressures (SBP and DBP), body mass index (BMI), fasting plasma glucose (FPG), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and other non-insulin-based insulin resistance indices, including TyG, TyG-BMI, and TG/HDL-C, while exhibiting an inverse correlation with high-density lipoprotein cholesterol (HDL-C). Quartile studies of METS-IR showed a significant increasing trend across quartiles in percentage of female sex, body weight, SBP, DBP, BMI, FPG, and TG levels, while HDL-C levels were significantly lower across groups. These findings support the utility of METS-IR as a surrogate marker for insulin resistance. As a non-insulin-based calculation, METS-IR offers a cost-effective approach for screening insulin resistance, particularly in adults without diagnosed NCDs among the health check-up population. The results provide valuable information for predicting the risks of developing NCDs, including diabetes and cardiovascular disease in the studied population, leading to the development of public health policies and strategies for preventive measures.

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