Validation of surrogate markers for metabolic syndrome and cardiometabolic risk factor clustering in children and adolescents: A nationwide population-based study

Value of waist-to-hip ratio as a predictor of metabolic syndrome in adolescents with obesity

BACKGROUND AND AIM

Metabolic syndrome is present in 7% of adolescents and 19 to 35% in obese adolescents, and the cause of this condition has not been fully understood. Early identification of the risk involved could be an initial step in preventing a metabolic syndrome. Increased waist circumference, which is a parameter of central obesity, is also risk factor for this condition. This study aims to determine the possibility cut-off value of waist-to-hip (WHR) as a predictor of metabolic syndrome.

METHODS

We studied 208 obese adolescents between the ages of 13 to 18 years from junior and senior high schools who living in rural dan urban areas in East Java. These obese adolescents were divided into two groups, namely with and without a metabolic syndrome. Anthropometric measurements, including waist-to-hip ratio (WHR), were carried out to analyze the cut-off values between the two groups.

RESULTS

208 obese adolescents (51.4% males and 48.6% females) without the metabolic syndrome and 104 obese adolescents with metabolic syndrome were evaluated. There was a significant relationship between WHR and metabolic syndrome in obese adolescents (r = 0.203, P = 0.003). Those adolescents with a high WHR value > 0.891 had twice risk to develop metabolic syndrome compared to those with lower (OR 2.033; 95% CI = 1.165-3.545).

CONCLUSIONS

Increased waist-to-hip ratio > 0.89 in adolescents was associated with higher risk to develop metabolic syndrome and can be proposed as a predictor for metabolic syndrome in obese adolescents.

Exploratory Longitudinal Analysis of the Circulating CHIT1 Activity in Pediatric Patients with Obesity

Macrophage activation and cytokine release play a pivotal role in inflammation-mediated metabolic disturbances in obesity. The proinflammatory macrophage secretes human chitotriosidase (CHIT1). The expression of the CHIT1 in visceral adipose tissue is associated with cytokine production. Our study aimed to assess whether the CHIT1 circulating activity, as a macrophage activation indicator, reflects the change of the adiposity level and the insulin resistance (IR) in children with obesity. We longitudinally (median follow-up period of 7 months; IQR [5 to 8.5] and {2 to 13} months) evaluated the CHIT1 circulating activity, the adiposity level (waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WtHR), and body mass index (BMI)-for-age z score), and two surrogate markers of IR (Homeostatic Model Assessment for Insulin Resistance, HOMA-IR and the triglycerides-to-high density lipoprotein cholesterol ratio, TG/HDLc) in 29 pediatric patients (16 girls and 13 boys) with obesity. We found a significant reduction in CHIT1 circulating activity (Wilcoxon test, p = 0.015) and a decrease in TG/HDLc at the follow-up evaluation (Wilcoxon test, p < 0.001). Indicators of adiposity were positively correlated with HOMA-IR at baseline, among which WC was the sole indicator associated with HOMA-IR (Spearman’s rank correlation coefficients, p < 0.05) at follow-up. Human chitotriosidase has the potential to be a valuable measure of the progression of subclinical inflammation in children with obesity. Subclinical inflammation, as expressed by the circulating CHIT1 activity, progresses independently of the abdominal adiposity, as measured by the clinical indicators, and is associated with a change in insulin resistance.

Diagnostic test accuracy of waist-to-height ratio as a screening tool for cardiovascular risk in children and adolescents: a meta-analysis

CONTEXT

Waist-to-height ratio (WHtR) is a controversial evaluation index of cardiovascular risk factors (CVRFs) in children and adolescents.

OBJECTIVE

To assess the accuracy of WHtR as a measure to screen for clusters of at least one CVRF (CVRF₁), two CVRFs (CVRF₂), and three CVRFs (CVRF₃) in different ages, sexes, regions and cut-offs.

METHODS

The PubMed, Web of Science, EBSCOhost, Springer, Taylor & Francis Online, Wiley Online Library, Wanfang, and CNKI databases were searched for eligible publications up to June 2021. The QUADAS-2 checklist was used to assess the methodology of the included studies.

RESULTS

Twenty-two studies that evaluated 85281 children and adolescents aged 5-19 years were included in the meta-analysis. The AUSROC values were 0.56 (95% CI: 0.54-0.57), 0.82 (95% CI: 0.81-0.83), and 0.89 (95% CI: 0.89-0.90) for CVRF₁, CVRF₂, and CVRF₃, respectively. Higher AUSROC values were found for adolescents (12-19 years), that is, 0.91 (95% CI: 0.88-0.93), 0.90 (95% CI: 0.87-0.92) for males, and 0.91 (95% CI: 0.90-0.91) for a cut-off of ≥ 0.51 in the identification of CVRF₃.

CONCLUSION

WHtR can be used as an accurate screening tool for CVRF₃ and CVRF₂ in children and adolescents, and it is recommended to select different cut-offs according to different ages, sexes, and regions.

Comparison of Lipid-Derived Markers for Metabolic Syndrome in Youth: Triglyceride/HDL Cholesterol Ratio, Triglyceride-Glucose Index, and non-HDL Cholesterol

Triglyceride/high-density lipoprotein (HDL) cholesterol ratio (TG/HDL-C), triglyceride-glucose index (TyG), and non-HDL cholesterol level (non-HDL-C) have been proposed as surrogate markers for predicting metabolic syndrome (MetS). This study investigated whether these lipid-derived surrogate markers can predict MetS in Korean children and adolescents. Data from 1,814 participants were analyzed from the 2013-2016 Korean National Health and Nutrition Examination Survey. MetS was defined using three sets of criteria: Cook et al. (MetS1), de Ferranti et al. (MetS2), and the International Diabetes Federation (MetS3). The prevalence of MetS1, MetS2, and MetS3 was 4.6%, 11.3%, and 2.7%, respectively. In receiver operating characteristic curve analysis of MetS and lipid-derived surrogate markers, TG/HDL-C (0.937 for MetS1, 0.894 for MetS2, and 0.897 for MetS3) had the largest area under the curve (AUC), followed by TyG (0.906 for MetS1, 0.864 for MetS2, and 0.887 for MetS3), and non-HDL-C (0.752 for MetS1, 0.708 for MetS2, and 0.703 for MetS3) (all P < 0.001). The cutoff values for detecting MetS with TG/HDL-C, TyG, and non-HDL-C were 2.64, 8.52, and 111.6 for MetS1; 2.23, 8.47, and 110.7 for MetS2; and 2.64, 8.74, and 110.8 for MetS3, respectively. In conclusion, TG/HDL-C and TyG were similarly predictive of MetS. We propose using TG/HDL-C and TyG as surrogate markers for assessing MetS in Korean children and adolescents.

Endocrine comorbidities of pediatric obesity

Pediatric obesity has become a serious public health issue. The prevalence of obesity in children and adolescents has increased worldwide and in Korea over several decades. Obese children are more likely to be obese adults with an increased cardiovascular risk. Therefore, maintaining a healthy weight and preventing obesity during childhood are of critical importance. Moreover, obese children and adolescents often have endocrine comorbidities such as prediabetes, type 2 diabetes, dyslipidemia, metabolic syndrome, polycystic ovary syndrome, and central precocious puberty. Hence, the early implementation of obesity management using a multidisciplinary team approach and screening for these comorbidities in obese children and adolescents are required with the appropriate management of each comorbidity and/or specialist referral.

Performance of waist-to-height ratio as a screening tool for identifying cardiometabolic risk in children: a meta-analysis

OBJECTIVE

To provide the latest evidence of performance and robustness of waist-to-height ratio (WHtR) in discriminating clusters of cardiometabolic risk factors (CMRs) and promote WHtR in routine primary health care practice in children, a meta-analysis was used.

METHODS

Searches was performed in eight databases from inception to July 03, 2020. Inclusion criteria were: (1) observational study, (2) children and adolescents, (3) provided WHtR measurements, (4) had CMRs as outcomes, and (5) diagnostic studies. Exclusion criteria were: (1) non-original articles, (2) unable to extract 2 × 2 contingency tables, (3) not in English or Chinese language, (4) populations comprising clinical patients, or (5) duplicate articles. WHtR cutoff points, 2 × 2 contingency tables were extracted from published reports. Outcomes included: CMR clusters of at least three CMRs (CMR₃), two (CMR₂), one (CMR₁), and CMR components. Bivariate mixed-effects models were performed to estimate the summarised area under the curves (AUSROC) with 95% CIs and related indexes. We conducted subgroup analyses by sex and East Asian ethnicity.

RESULTS

Fifty-three observational studies were included. The AUSROC reached 0.91 (95% CI: 0.88-0.93), 0.85 (95% CI: 0.81, 0.88) and 0.75 (95% CI: 0.71, 0.79) for CMR₃, CMR₂, and CMR₁, respectively. The pooled sensitivity and specificity for CMR₃ reached 0.84 and exceeded 0.75 for CMR₂. For CMR₁, the sensitivity achieved 0.55 with 0.84 for specificity. We had similar findings for our subgroup and sensitivity analyses.

CONCLUSIONS

WHtR shows good and robust performance in identifying CMRs clustering across racial populations, suggesting its promising utility in public health practice globally.

Overview of pediatric obesity: diagnosis, epidemiology, and significance

Background: The prevalence of pediatric obesity has increased over the past several decades worldwide and in Korea. Childhood obesity has become a serious social problem.Current Concepts: Diagnosis of obesity is based on body mass index (BMI) in children and adolescents aged ≥2 years. Overweight and obese are defined as BMI ≥85th percentile to <95th percentile and BMI ≥95th percentile, respectively, corresponding to sex and age. Obesity is further classified as Class I (BMI ≥95th percentile to <120% of 95th percentile), Class II (BMI ≥120% of 95th percentile to <140% of 95th percentile), and Class III (BMI ≥140% of 95th percentile). Waist circumference and waist-height ratio are used to evaluate abdominal obesity. Pediatric obesity can cause childhood comorbidities, including type 2 diabetes, dyslipidemia, non-alcoholic fatty liver disease, and hypertension. Adult obesity, cardiovascular diseases, and other adult comorbidities, together with increased medical costs are additional consequences of pediatric obesity.Discussion and Conclusion: Prevention, diagnosis, and proper management of pediatric obesity are important.

CARDIOMETABOLIC RISK AMONG MONTENEGRIN URBAN CHILDREN IN RELATION TO OBESITY AND GENDER

Considering previously reported discrepant results in the literature, we aimed to investigate the impact of gender and overweight/obesity on cardiometabolic risk (CMR) among Montenegrin urban children. The cross-sectional study included random sample of 201 schoolchildren aged 7-12 years (64% of boys) from Podgorica. Children's nutritional status was determined according to the International Obesity Task Force criteria. CMR was assessed using a sum of z values of the following five indicators: glucose, total cholesterol, inverted value of high-density lipoprotein cholesterol, triglycerides, and hypertension. Higher CMR was found among both overweight and obese boys compared to normal weight boys (p<0.001). The effect size of the difference in CMR between overweight and obese girls and normal weight counterparts was less prominent (p<0.05). Logistic regression analysis revealed that body mass index was independent predictor of high CMR [odds ratio (OR)=1.06; 95% confidence interval (CI)=1.02-1.10); p=0.002]. On the contrary, we found no impact of socioeconomic status, physical activity or sedentary time on CMR in the examined cohort of schoolchildren. In conclusion, both overweight and obesity even among young population are related to higher CMR and this effect is more prominent among boys as compared to girls.

Metabolic risk associated with liver enzymes, uric acid, and hemoglobin in adolescents

BACKGROUND

The associations of renal, hepatic, and hematologic markers with metabolic risk (MR) have already been shown in adolescents. However, it is still controversial which marker best predicts metabolic changes in youth. The aim of this study was to verify the association of MR with alanine aminotransferase (ALT), aspartate aminotransferase (AST), uric acid, and hemoglobin (Hb) in adolescents.

METHODS

We evaluated 1713 Brazilian adolescents aged 10 to 17 years. MR was calculated using a continuous metabolic risk score, including the sum of Z-scores of waist circumference, systolic blood pressure, fasting glucose, high-density lipoproteins, triglycerides, and cardiorespiratory fitness. Cutoff points were set for MR prediction for five metabolic components (ALT, AST, AST/ALT ratio, uric acid, and Hb).

RESULTS

MR was strongly associated with increased uric acid (odds ratio [OR]: 2.50; 95% confidence interval [CI]: 1.74-3.59), ALT (OR: 2.64; 95% CI: 1.63-4.27), and AST levels (OR: 2.53; 95% CI: 1.24-5.18). Uric acid was shown to be the best predictor for MR (sensitivity: 55.79%; specificity: 61.35%; area under the curve: 0.616).

CONCLUSION

Elevated hepatic, renal, and hematological markers were associated with MR in adolescents, especially ALT, AST, and uric acid levels.

IMPACT

Elevated hepatic, renal, and hematological markers were associated with metabolic risk in adolescents, especially ALT, AST, and uric acid levels. It is still controversial which marker best predicts metabolic changes in adolescents. In addition, association of Hb with metabolic risk is under-studied in this population. It is important to further investigate the relationship between elevated Hb and hepatic markers, since there are key aspects not addressed yet. Our results highlight the importance of creating public health policies aimed to child and adolescent population, to prevention of metabolic disorders from an early age.

Waist-to-height ratio as a screening tool for cardiometabolic risk in children and adolescents: a nationwide cross-sectional study in China

OBJECTIVES

To demonstrate the accuracy and flexibility of using waist-to-height ratio (WHtR) as a screening tool for identifying children and adolescents with cardiometabolic risk (CMR) across a wide range of prevalence levels among general paediatric populations.

DESIGN

A nationwide population-based cross-sectional study with all data collected at school settings in six cities of China.

PARTICIPANTS

A total of 8130 children and adolescents aged 7-18 years with complete anthropometric and CMR measurements based on blood tests were recruited.

OUTCOME MEASURES

Elevated blood pressure, dyslipidaemia, elevated fasting blood glucose and central obesity were measured. The primary outcome, CMRs, was defined as meeting three or more of the above risk factors. The accuracy of WHtR for identifying CMRs was evaluated using areas under the curves (AUCs) with 95% CI of the receiver operating characteristic curve. The predictability of WHtR at given CMRs prevalence levels was estimated by positive predictive value (PPV) and negative predictive value.

RESULTS

Overall, 6.1% of study participants were presented with CMRs. WHtR had high AUCs ranging from 0.84 (95% CI 0.81 to 0.88) to 0.88 (95% CI 0.86 to 0.90) in the total population and age-subgroup and gender-subgroup. The overall optimal WHtR cut-off value was 0.467, with boys having a higher cut-off than girls (0.481 vs 0.456). WHtR achieved an overall sensitivity of 0.89 and PPV of 18.8% at a specificity of 0.75. The screening performance of WHtR remained satisfactory across a wide range of given CMRs prevalence levels (5%, 10% and 20%).

CONCLUSION

WHtR as a screening tool could accurately and flexibly identify children affected with the clusters of three or more of CMR factors from the general paediatric population with various CMR prevalence levels. Our findings provide support for policy-making on early CMR identification and management in the high-risk group of children.

Presenting Health Status in Children Using a Radar Plot

BACKGROUND

To try out the feasibility of presenting the health status of children 6 to 12 years old by using radar plots.

METHODS

With data from the Health Oriented Pedagogical Project (HOPP) we have described the health status for 1340 children aged 6 to 12 years. We collected or calculated: stature, body mass, waist circumference, waist to height ratio, high density lipoprotein (HDL) and total cholesterol concentration, blood pressure, accelerometer assessed physical activity, endurance interval running performance, and quality of life. Pertinent variables were presented through a radar plot for both individual cases and groups.

RESULTS

The boys showed better endurance and recorded more moderate to vigorous physical activity than the girls. The activity level dropped from age 6 to age 12 for both sexes. The girls showed a lower systolic blood pressure compared with boys. Self-rated quality of life was high among boys and girls.

CONCLUSIONS

This cohort showed good health and the radar plot made it easy to visualise health status for groups and individuals.

Secular Trends in Pediatric Overweight and Obesity in Korea

Over the previous decades, the prevalence of pediatric obesity has been increased in Korea as well as worldwide. Pediatric obesity is associated with comorbidities in childhood and adulthood. We reviewed the prevalence of pediatric obesity using data from the National School Health Examination (NSHE) and the Korea National Health and Nutrition Examination Survey (KNHANES). Obesity was defined as a body mass index (BMI) ≥25 kg/m2; BMI ≥95th percentile for the corresponding sex and age in the 2007 growth charts for the NSHE; or BMI ≥95th percentile for the corresponding sex and age in the 2017 growth charts for the KNHANES. There was a slight discrepancy in the prevalence of obesity depending on the data source. The prevalence of obesity increased from 8.7% in 2007 to 15.0% in 2017 in the NSHE (in children aged 6-18 years) and from 8.6% in 2001 to 9.8% in 2017 in the KNHANES (in children aged 2-18 years). The increase in the prevalence of obesity was higher in boys and high school students. Accurate epidemiologic data analyzed using the new 2017 growth charts are essential in developing strategies for controlling obesity. Efforts to collect more reliable nationally representative data, including longitudinal studies, are warranted.

The predictive value of anthropometric indices for cardiometabolic risk factors in Chinese children and adolescents: A national multicenter school-based study

Objectives

This study aimed to assess the accuracy of body mass index (BMI) percentile, waist circumference (WC) percentile, waist-height ratio, and waist-hip ratio for identifying cardiometabolic risk factors in Chinese children and adolescents stratified by sex and BMI categories.

Methods

We measured anthropometric indices, fasting plasma glucose, lipid profile and blood pressure for 15698 participants aged 6–17 in a national survey between September and December 2013. The predictive accuracy of anthropometric indices for cardiometabolic risk factors was examined using receiver operating characteristic (ROC) analyses. The DeLong test and Z test were used for the comparisons of areas under ROC curves (AUCs).

Results

The prevalence of impaired fasting glucose, dyslipidemia, hypertension and cluster of risk factors were 2.9%, 27.3%, 10.5% and 5.7% respectively. The four anthropometric indices showed poor to fair discriminatory ability for cardiometabolic risk factors with the AUCs ranging from 0.53–0.72. Each index performed significantly better AUCs for dyslipidemia (0.59–0.63 vs. 0.56–0.59), hypertension (0.62–0.70 vs. 0.55–0.65) and clustered risk factors (0.70–0.73 vs. 0.60–0.64) in boys than that in girls. BMI percentile performed the best accuracy for hypertension in both sexes; WC percentile had the highest AUC for dyslipidemia and BMI percentile and waist-height ratio performed similarly the best AUCs for clustered risk factors in boys while BMI percentile, WC percentile and waist-height ratio performed similar and better AUCs for dyslipidemia and clustered risk factors in girls; whereas waist-hip ratio was consistently the poorest predictor for them regardless of sex. Though the anthropometric indices were more predictive of dyslipidemia, hypertension and clustered risk factors in overweight/obese group compared to their normal BMI peers, the AUCs in overweight/obese group remained in the poor range below 0.70.

Conclusions

Anthropometric indices are not effective screening tools for pediatric cardiometabolic risk factors, even in overweight/obese children.

Association of sugar-sweetened beverage intake with risk of metabolic syndrome among children and adolescents in urban China

OBJECTIVE

High sugar-sweetened beverage (SSB) intake has been shown to correlate with a higher risk for CVD and metabolic disorders, while the association between SSB intake and the risk of metabolic syndrome (MetS) remains unclear. The present study aimed to explore the association between SSB intake and MetS among children and adolescents in urban China.

DESIGN

A cross-sectional study involving 7143 children and adolescents was conducted in urban China. MetS definition proposed by the International Diabetes Federation was adopted. Data on SSB intake, diet, physical activity and family environment factors were obtained through questionnaires. Logistic regression models with multivariable adjustment were adopted to analyse the association between SSB intake and the risk of MetS and its components.

SETTING

Primary and secondary schools in three urban cities of China.

PARTICIPANTS

Children and adolescents (n 5258) aged 7-18 years.

RESULTS

Among the participants, 29·9 % of them had high SSB intake (at least 0·3 servings/d) and the overall MetS prevalence was 2·7 %. Participants with high SSB intake were at higher risk for MetS (OR = 1·60; 95 % CI 1·03, 2·54) and abdominal obesity (OR = 1·55; 95 % CI 1·28, 1·83) compared with their counterparts with no SSB intake (0 servings/d).

CONCLUSIONS

High SSB intake is significantly associated with increased MetS and abdominal obesity risk among children and adolescents in urban China. These results suggest that strong policies focusing on controlling SSB intake might be effective in preventing MetS and abdominal obesity.

Alternative waist-to-height ratios associated with risk biomarkers in youth with diabetes: comparative models in the SEARCH for Diabetes in Youth Study

BACKGROUND/OBJECTIVES

The waist-to-height ratio (WHtR) estimates cardiometabolic risk in youth without need for growth charts by sex and age. Questions remain about whether waist circumference measured per protocol of the National Health and Nutrition Examination Survey (WNHAHtR) or World Health Organization (WWHOHtR) can better predict blood pressures and lipid parameters in youth.

PARTICIPANTS/METHODS

WHtR was measured under both anthropometric protocols among participants in the SEARCH Study, who were recently diagnosed with diabetes (ages 5-19 years; N = 2 773). Biomarkers were documented concurrently with baseline anthropometry and again ~7 years later (ages 10-30 years; N = 1 712). For prediction of continuous biomarker outcomes, baseline WNHAHtR or WWHOHtR entered semiparametric regression models employing restricted cubic splines. To predict binary biomarkers (high-risk group defined as the most adverse quartile) linear WNHAHtR or WWHOHtR terms entered logistic models. Model covariates included demographic characteristics, pertinent medication use, and (for prospective predictions) the follow-up time since baseline. We used measures of model fit, including the adjusted-R2 and the area under the receiver operator curves (AUC) to compare WNHAHtR and WWHOHtR.

RESULTS

For the concurrent biomarkers, the proportion of variation in each outcome explained by full regression models ranged from 23 to 46%; for the prospective biomarkers, the proportions varied from 11 to 30%. Nonlinear relationships were recognized with the lipid outcomes, both at baseline and at follow-up. In full logistic models, the AUCs ranged from 0.75 (diastolic pressure) to 0.85 (systolic pressure) at baseline, and from 0.69 (triglycerides) to 0.78 (systolic pressure) at the prospective follow-up. To predict baseline elevations of the triglycerides/HDL cholesterol ratio, the AUC was 0.816 for WWHOHtR compared with 0.810 for WNHAHtR (p = 0.003), but otherwise comparisons between alternative WHtR protocols were not significantly different.

CONCLUSIONS

Among youth with recently diagnosed diabetes, measurements of WHtR by either waist circumference protocol similarly helped estimate current and prospective cardiometabolic risk biomarkers.

Association between hemoglobin glycation index and cardiometabolic risk factors in Korean pediatric nondiabetic population

PURPOSE

The hemoglobin glycation index (HGI) represents the degree of nonenzymatic glycation and has been positively associated with cardiometabolic risk factors (CMRFs) and cardiovascular disease in adults. This study aimed to investigate the association between HGI, components of metabolic syndrome (MS), and alanine aminotransferase (ALT) in a pediatric nondiabetic population.

METHODS

Data from 3,885 subjects aged 10-18 years from the Korea National Health and Nutrition Examination Survey (2011-2016) were included. HGI was defined as subtraction of predicted glycated hemoglobin (HbA1c) from measured HbA1c. Participants were divided into 3 groups according to HGI tertile. Components of MS (abdominal obesity, fasting glucose, triglycerides, high-density lipoprotein cholesterol, and blood pressure), and proportion of MS, CMRF clustering (≥2 of MS components), and elevated ALT were compared among the groups.

RESULTS

Body mass index (BMI) z-score, obesity, total cholesterol, ALT, abdominal obesity, elevated triglycerides, and CMRF clustering showed increasing HGI trends from lower-to-higher tertiles. Multiple logistic regression analysis showed the upper HGI tertile was associated with elevated triglycerides (odds ratio, 1.65; 95% confidence interval, 1.18-2.30). Multiple linear regression analysis showed HGI level was significantly associated with BMI z-score, HbA1c, triglycerides, and ALT. When stratified by sex, age group, and BMI category, overweight/obese subjects showed linear HGI trends for presence of CMRF clustering and ALT elevation.

CONCLUSION

HGI was associated with CMRFs in a Korean pediatric population. High HGI might be an independent risk factor for CMRF clustering and ALT elevation in overweight/obese youth. Further studies are required to establish the clinical relevance of HGI for cardiometabolic health in youth.

Hypertriglyceridemia in Obese Children and Adolescents

The increasing prevalence of obesity in children and adolescents is a serious public health concern. Hypertriglyceridemia is common in obese children and adolescents, and elevated triglyceride (TG) level is a known biomarker of cardiometabolic risk. Results from genetic studies suggest that TG and TG-rich lipoproteins and, more specifically, remnant cholesterol are in the causal pathway of cardiovascular disease. However, simultaneous measurement of all remnants has not yet been established, and plasma TG level can be used as a useful marker of remnant cholesterol. Adipose tissue dysfunction, including impaired adipocyte TG storage and release of fatty acids, mediates the development of obesity-related complications. The prevalence of hypertriglyceridemia increases in overweight or obese children and is associated with other cardiometabolic risk factors. Recently, the TG/high-density lipoprotein cholesterol (HDL-C) ratio was recognized as a marker of structural vascular changes and insulin resistance in obese youth. Recent guidelines recommend universal lipid screening with nonfasting non-HDL-C measurement in children at 9–11 years of age; however, fasting lipid profiles should be measured in obese children and overweight adolescents and in those with high non-HDL-C in universal screening. The primary approach to lower TG in children includes dietary and lifestyle modifications; however, children with severe hypertriglyceridemia should also be referred to a pediatric lipid specialist.