Association between the triglyceride to high-density lipoprotein cholesterol ratio and insulin resistance in Korean adolescents: a nationwide population-based study

TG/HDL-C Ratio for Predicting Insulin Resistance in Obese Children from Beijing, China

BACKGROUND

International studies have found that the blood triglycerides to highdensity lipoproteins (TG/HDL-C) ratio predicted insulin resistance in children with overweight and obesity. However, there is a lack of such reports on children from China.

OBJECTIVE

The objective of this study is to explore the ability of the TG/HDL-C ratio as a blood biomarker for insulin resistance (IR) in obese children in Beijing.

METHODS

We evaluated 262 children with obesity from our paediatric outpatient clinic in a cross-sectional study. Detailed medical histories of all children were ascertained, as were clinical examination and laboratory test results, including blood lipids, fasting glucose, insulin, and glycated haemoglobin. We divided them into age groups of 6-9 and 10-13.5 years and then into IR and non-IR groups based on the homeostatic model assessment for IR (HOMA-IR). Analysis was accomplished with SPSS software (version 22.0).

RESULTS

The TG/HDL-C ratio was higher in children with IR in the 6-9 and 10-13.5-year age groups (p < 0.001). Univariate and multivariate analyses displayed that the TG/HDL-C ratio and HOMA-IR were correlated in the 6-9 and 10-13.5-year-old groups (p < 0.05). In the 6-9-yearold group, IR identified by a TG/HDL-C ratio ≥ 0.645 had a sensitivity, specificity, and an area under the curve (AUC) of 79.1%, 60.9%, and 0.734, respectively. In the 10-13.5-year-old group, IR identified by a TG/HDL-C ratio ≥ 0.725 had a sensitivity, specificity, and an AUC of 79.4%, 62.9%, and 0.724, respectively.

CONCLUSION

We showed the application of the TG/HDL-C ratio to predict insulin resistance in obese children in Beijing with different diagnostic thresholds based on age (6-9-year-old group with TG/HDL-C ≥ 0.645; 10-13.5-year-old group with TG/HDL-C ≥ 0.725), which were lower compared with the diagnostic threshold for insulin resistance in children reported in other countries.

Triglyceride glucose index, pediatric NAFLD fibrosis index, and triglyceride-to-high-density lipoprotein cholesterol ratio are the most predictive markers of the metabolically unhealthy phenotype in overweight/obese adolescent boys

Introduction

The prevalence of obesity constantly increases worldwide and definitely increases the risk of premature death in early adulthood. While there is no treatment yet with proven efficacy for the metabolic clamp such as arterial hypertension, dyslipidemia, insulin resistance, diabetes type 2, and fatty liver disease, it is imperative to find a way to decrease cardiometabolic complications. Early prevention strategies beginning in childhood are the most logical step to reduce future cardiovascular morbidity and mortality. Therefore, the aim of the current study is to determine the most sensitive and specific predictive markers of the metabolically unhealthy phenotype with high cardiometabolic risk in overweight/obese adolescent boys.

Methods

This study was carried out at the Ternopil Regional Children's hospital (Western Ukraine) and involved 254 randomly chosen adolescent overweight or obese boys [median age was 16.0 (15.0,16.1) years]. A control group of 30 healthy children with proportional body weight comparable in gender and age to the main group was presented. A list of anthropometrical markers with biochemical values of carbohydrate and lipid metabolism with hepatic enzymes was determined. All overweight/obese boys were divided into three groups: 51.2% of the boys with metabolic syndrome (MetS) based on the IDF criteria; 19.7% of the boys were metabolically healthy obese (MHO) without hypertension, dyslipidemia, and hyperglycemia; and the rest of the boys (29.1%) were classified as metabolically unhealthy obese (MUO) with only one criterion (hypertension, dyslipidemia, or hyperglycemia).

Results

Based on multiple logistic regression analysis that included all anthropometric and biochemical values and calculated indexes in boys from the MHO group and MetS, it was revealed that the maximum likelihood in the prediction of MetS makes the combination of triglyceride glucose index, pediatric nonalcoholic fatty liver disease fibrosis index (PNFI), and triglyceride-to-high-density lipoprotein cholesterol ratio (R² =0.713, p<0.000). By tracing the receiver operating characteristic curve, the model is confirmed as a good predictor of MetS (AUC=0.898, odds ratio=27.111 percentage correct=86.03%) in overweight and obese boys.

Conclusion

Triglyceride glucose index, pediatric NAFLD fibrosis index, and triglyceride-to-high-density lipoprotein cholesterol ratio are a valuable combination of predictive markers of the metabolically unhealthy phenotype in Ukrainian overweight/obese boys.

Insulin Resistance Markers to Detect Nonalcoholic Fatty Liver Disease in a Male Hispanic Population

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) is one of the leading causes of chronic liver disease and is closely associated with cardiometabolic disorders, being insulin resistance (IR) the common pathogenic mechanism. The triglycerides/glucose (TyG) index and triglycerides/HDL-c (TG/HDL) ratio are markers correlated with IR. We compared the capacity of these two indexes, alongside IR, to detect NAFLD.

METHODS

In a cross-sectional cohort study, we examined 263 active military personnel from the Colombian Air Force, aged between 29 and 54 years. Anthropometric measurements and biochemical determinations (glycemia, lipid profile, and insulin) were obtained, and ultrasound studies were performed to evaluate the presence of NAFLD. HOMA-IR index was calculated as (fasting insulin (µIU/mL) × fasting glucose (mmol/L)/22.5), the TyG index as Ln (triglycerides (mg/dL) × fasting glucose (mg/dL)/2), and the TG/HDL ratio as (triglycerides (mg/dL)/HDL-c (mg/dL)).

RESULTS

NAFLD ultrasound criteria were met in 70 individuals (26.6%). Subjects with NAFLD had significantly higher values of HOMA-IR (2.55 ± 1.36 vs. 1.51 ± 0.91), TyG (9.17 ± 0.53 vs. 8.7 ± 0.51), and TG/HDL (6.6 ± 4.54 vs. 3.52 ± 2.32) compared to those without NAFLD (p < 0.001). A TyG cutoff point of 8.92 showed an AUC of 0.731, while cutoff points of 3.83 for TG/HDL and 1.68 for HOMA-IR showed an AUC of 0.766 and 0.781, respectively.

CONCLUSION

Our study shows that novel and lower-cost markers of IR are useful for detecting NALFD, with a performance comparable to the HOMA-IR index. These markers should be used as the first step when screening patients for NAFLD.

TG: HDL-C Ratio as Insulin Resistance Marker for Metabolic Syndrome in Children With Obesity

Insulin resistance (IR) is an important variable in the diagnosis of metabolic syndrome (MetS). Currently, IR is not part of the existing pediatric definition of MetS, instead elevated fasting blood glucose (FBG) is measured as an indicator of hyperglycemia. Arguably, many obese children with severe IR are still able to regulate their FBG well. Hence, this study aimed to assess the utility of triglyceride-to-high-density lipoprotein cholesterol (TG : HDL-C) ratio as an IR marker in the modeling of pediatric MetS among children with obesity using structural equation modeling (SEM). A total of 524 blood samples from children with obesity (age 10-16 years old) were analyzed for FBG, lipids, insulin, leptin, and adiponectin. Both exploratory (EFA) and confirmatory factor analysis (CFA) were used to examine TG : HDL-C ratio as an IR marker in pediatric MetS. EFA shows that TG: HDL-C ratio (standardized factor loading = 0.904) groups together with homeostasis model assessment-estimated insulin resistance (HOMA-IR) (standardized factor loading = 0.664), indicating a strong correlation to the IR factor. Replacing FBG with TG: HDL-C ratio improved the modeling of MetS structure in children with obesity. Our MetS model of TG: HDL-C ratio as IR component shows comparable model fitness indices (goodness of fit, Akaike's information criterion, and Bayesian information criterion) with leptin:adiponectin ratio (platinum standard for adiposity:IR marker) model. The least model fit was seen when using FBG as an IR surrogate. TG : HDL-C ratio performed better as IR surrogate in MetS structures (standardized factor loading = 0.39) compared to FBG (standardized factor loading = 0.27). TG: HDL-C ratio may be considered as an IR component in pediatric MetS.

The allometric scaling of body mass and height in children and adolescents in five countries

OBJECTIVE

The purpose a methodology that excludes values outside of the expected spectrum for age (VOESA) of height and body mass in the definition of power (p) to construct an international allometric body mass index (AI) for children and adolescents.

METHODS

Datasets of national surveys including individuals (aged 0-19 years) from five countries (Brazil, South Korea, Mexico, England, and the USA) were selected. The p was defined for each country, age range, and sex after exclusion of VOESA for height and weight by log-log linear regression, where β represented p. The p was also defined for a pool of five countries, international p (ip) after exclusion of VOESA using a spline modeling technique (5 knots). The AI was calculated and Pearson's correlation coefficient (r) was calculated to investigate the correlation between AI and height.

RESULTS

Exclusion of VOESA decreased the difference of p among countries. Exponent p showed values close to 2 in the first years of life, increased to 3-3.5 between 7 and 11 years for girls and 8 to 12 years for boys, and decreased to close to 2 near the end of growth (16 years for girls and 19 years for boys). The use of ip for all countries decreased r values to near zero while BMI had values near 0.4.

CONCLUSIONS

Exclusion of VOESA contributes to a decreased effect of epidemiological context among countries when calculating the AI. AI calculated using ip is independent of height in all countries and reflects physiological growth changes for children and adolescents.