scholarly journals A population-based study of TyG index distribution and its relationship to cardiometabolic risk factors in children and adolescents

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jong Seo Yoon ◽  
Young Suk Shim ◽  
Hae Sang Lee ◽  
Il Tae Hwang ◽  
Jin Soon Hwang
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Standard Deviation Score ◽  
Cardiometabolic Risk Factors ◽  
Nutrition Survey ◽  
Linear Distribution ◽  
Tyg Index

AbstractThe purpose of this study was to present age- and sex-specific distributions of the triglyceride-glucose (TyG) index and to evaluate their relationship with cardiometabolic risk factors in children and adolescents. A total of 7404 participants aged 10–18 years from the Korean National Health and Nutrition Survey were included as the reference population. The TyG index was calculated as ln(fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). The percentile of the TyG index exhibited a steady linear relationship with age for both sexes. TyG index significantly correlated with waist circumference (WC) standard deviation score (SDS; r = 0.110, p < 0.001), systolic blood pressure (SBP; r = 0.104, p < 0.001), diastolic blood pressure (DBP; r = 0.083, p < 0.001), glucose (r = 0.220, p < 0.001), high-density lipoprotein cholesterol (HDL-C; r = − 0.325, p < 0.001), and triglycerides (TG; r = 0.926, p < 0.001). Multiple linear regression analysis revealed that the TyG index was significantly associated with WC SDS (β = 0.116, p < 0.001), SBP (β = 2.009, p < 0.001), DBP (β = 1.464, p < 0.001), glucose (β = 3.376, p < 0.001), HDL-C (β =  − 6.431, p < 0.001), and TG (β = 85.518, p < 0.001). Our results suggest that the TyG index has a steady linear distribution for sex and age in children and adolescents and constitutes an indicator for predicting metabolic disorders that could lead to cardiovascular disease later in life.

scholarly journals TyG Index Distributions and Relationship to Cardiometabolic Risk Factors in Children and Adolescents: A Population-Based Study

2021 ◽  
Author(s):  
Jong Seo Yoon ◽  
Young Suk Shim ◽  
Hae Sang Lee ◽  
Il Tae Hwang ◽  
Jin Soon Hwang
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Standard Deviation Score ◽  
Cardiometabolic Risk Factors ◽  
Multivariate Linear Regression Analysis ◽  
Nutrition Survey ◽  
Tyg Index

Abstract The purpose of this study was to present age- and sex-specific distributions of the triglyceride-glucose (TyG) index and to evaluate their relationship with cardiometabolic risk factors in children and adolescents. A total of 7,404 participants aged 10–18 years from the Korean National Health and Nutrition Survey were included as the reference population. The TyG index was calculated as ln(fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). The percentile of the TyG index exhibited a steady linear relationship with age for both sexes. TyG index significantly correlated with waist circumference (WC) standard deviation score (SDS; r = 0.110, p < 0.001), systolic blood pressure (SBP; r = 0.104, p < 0.001), diastolic blood pressure (DBP; r = 0.083, p < 0.001), glucose (r = 0.220, p < 0.001), high-density lipoprotein cholesterol (HDL-C; r=-0.325, p < 0.001), and triglycerides (TG; r = 0.926, p < 0.001). Multivariate linear regression analysis revealed that the TyG index was significantly associated with WC SDS (β = 0.116, p < 0.001), SBP (β = 2.009, p < 0.001), DBP (β = 1.464, p < 0.001), glucose (β = 3.376, p < 0.001), HDL-C (β=−6.431, p < 0.001), and TG (β = 85.518, p < 0.001). Our results suggest that the TyG index has a steady linear distribution for sex and age in children and adolescents and constitutes an indicator for predicting metabolic disorders that could lead to cardiovascular disease later in life.

scholarly journals Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.

scholarly journals Association of Thyroid-Stimulating Hormone and Thyroid Hormones with Cardiometabolic Risk Factors in Euthyroid Children and Adolescents Aged 10–18 Years: A Population-Based Study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cheol Gyu Ma ◽  
Young Suk Shim
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Thyroid Stimulating Hormone ◽  
Cardiometabolic Risk Factors ◽  
Reference Ranges ◽  
Glucose Levels ◽  
Elevated Glucose

Abstract Recent evidence indicates that low-normal thyroid function test results within the reference ranges may be related to increased cardiometabolic risk factors. The current study aimed to evaluate the relationship between thyroid function using thyroid-stimulating hormone (TSH) and free thyroxine (FT4) and cardiometabolic risk factors and the clustering of these risk factors (metabolic syndrome) in euthyroid children and adolescents. A total of 250 euthyroid children and adolescents aged 10–18 years were included using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2015. In the unadjusted correlation analyses, TSH was positively correlated with glucose (r = 0.172, P = 0.006), hemoglobin A1c (HbA1c) (r = 0.149, P = 0.018), insulin (r = 0.144, P = 0.023), homeostatic model assessment for insulin resistance (HOMA-IR) (r = 0.163, P = 0.010), and triglyceride (TG) (r = 0.155, P = 0.014), whereas FT4 was negatively associated with the waist circumference (WC) standard deviation score (SDS) (r = −0.134, P = 0.035), body mass index (BMI) SDS (r = −0.126, P = 0.046), insulin (r = −0.219, P < 0.001), and HOMA-IR (r = −0.211, P < 0.001). In the multiple linear regression analysis, TSH was positively associated with glucose (β = 1.179, P = 0.021), HbA1c (β = 0.044, P = 0.039), and TG (β = 8.158, P = 0.041) after adjustment for possible confounders. FT4 was negatively associated with serum fasting insulin (β = −5.884, P = 0.017) and HOMA-IR (β = −1.364, P = 0.023) in the multiple linear regression analysis. Boys and girls with elevated glucose levels had a higher adjusted mean TSH level compared to those without elevated glucose levels after controlling for confounding factors in the analysis of covariance (2.16 mIU/L vs 3.88 mIU/L, P = 0.004). Our results suggest that higher TSH and/or lower FT4 levels, even within the reference ranges, may be related to increased cardiometabolic risk factors.

scholarly journals Effects of High-Intensity Interval Training and Moderate-Intensity Continuous Training on Cardiometabolic Risk Factors in Overweight and Obesity Children and Adolescents: A Meta-Analysis of Randomized Controlled Trials

2021 ◽  
Vol 18 (22) ◽  
pp. 11905
Author(s):  
Meng Cao ◽  
Yucheng Tang ◽  
Shu Li ◽  
Yu Zou
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
Moderate Intensity ◽  
Continuous Training ◽  
High Intensity Interval

Background: The purpose of this review was to compare the effectiveness of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on cardiometabolic risk factors of obese children and adolescents. Methods: Relevant studies published in PubMed, MEDLINE and Web of Science databases were searched. Only randomized controlled trials (RCTs) that examined the effect of HIIT and MICT on children and adolescents with obesity were included. Meta-analyses were conducted to determine the effect of HIIT on cardiometabolic risk factors using STATA software and potential moderators were explored (i.e., study duration, training modalities, work/rest ratio and work duration time). Results: Twelve RCTs involving 325 participants were included in the meta-analysis. HIIT showed more positive effects on maximal oxygen uptake (VO2max; SMD = 0.87, 95% CI: 0.39 to 1.35, p = 0.000) and systolic blood pressure (SBP; SMD = −0.64, 95% CI: −1.05 to −0.22, p = 0.003) than MICT. However, when compared with MICT, HIIT caused no significant differences in body weight, body mass index, body fat percentage, diastolic blood pressure and glycolipid metabolism markers. Furthermore, subgroup analysis showed that the effects of HIIT on VO2max and SBP were significantly different regarding protocol factors, such as modality, duration, training time, training settings, work/rest ratio and work duration. Conclusions: HIIT has a positive role in promoting cardiometabolic risk factors in obese children and adolescents. Moreover, when compared with MICT, HIIT had a more significant effect on improving cardiorespiratory fitness and systolic blood pressure. The factors of HIIT protocol had an important influence on the intervention effects of childhood obesity.

scholarly journals Uric Acid Associates With Executive Function in Children and Adolescents With Hypertension

Hypertension ◽  
2021 ◽  
Author(s):  
Stella Stabouli ◽  
Katerina Chrysaidou ◽  
Athanasia Chainoglou ◽  
Dimos Gidaris ◽  
Vasilios Kotsis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Systolic Blood Pressure ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Behavior Regulation ◽  
Executive Performance ◽  
High Uric Acid

Observational studies show that serum uric acid levels associate with cardiometabolic risk factors and subclinical target organ damage. The aim of the present study is to investigate the association of traditional cardiometabolic risk factors and uric acid with the executive performance in children and adolescents. Ninety-nine children and adolescents aged 5 to 18 years referred for assessment of primary hypertension were included. Traditional cardiometabolic risk factors, uric acid, and ambulatory blood pressure parameters were assessed. Executive performance was assessed by the validated Behavior Rating Inventory of Executive Function parent questionnaire. Serum uric acid correlated with cardiometabolic parameters, daytime and nighttime systolic blood pressure. High uric acid levels and ambulatory hypertension were associated with behavior regulation independently of other cardiometabolic risk factors or presence of metabolic syndrome. Participants with combined hypertension and high uric acid levels presented the lowest behavior regulation performance. Children with high uric acid had worse behavior regulation indices T scores with estimated marginal means 56.47 (95% CI, 51.68–61.27) compared with 49.22 (95% CI, 45.91–52.53) in those with low uric acid levels ( P =0.023, adjusted for age, sex, nighttime systolic blood pressure, daytime and nighttime heart rate). Mediation analysis showed that part of the effect of high uric acid levels on behavior regulation was mediated by nighttime systolic blood pressure. In conclusion, we found a positive association of serum uric acid with worse executive performance in children at risk for primary hypertension. Extending these cross-sectional findings with longitudinal studies may determine whether high uric acid levels increases the risk of cognitive decline in youth.

Increased monocyte to HDL cholesterol ratio in vitamin B12 deficiency: is it related to cardiometabolic risk?

2020 ◽  
pp. 1-8
Author(s):  
Sanem Kayhan ◽  
Nazli Gulsoy Kirnap ◽  
Mercan Tastemur
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Vitamin B12 ◽  
Cardiometabolic Risk ◽  
Vitamin B12 Deficiency ◽  
Left Ventricular ◽  
Cardiometabolic Risk Factors ◽  
B12 Deficiency ◽  
Deficiency Group

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.

Association between maternal prepregnancy body mass index with offspring cardiometabolic risk factors: analysis of three Brazilian birth cohorts

2021 ◽  
pp. 1-7
Author(s):  
Mariane da Silva Dias ◽  
Alicia Matijasevich ◽  
Ana Maria B. Menezes ◽  
Fernando C. Barros ◽  
Fernando C. Wehrmeister ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Diastolic Blood Pressure ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Birth Cohorts ◽  
Prepregnancy Bmi ◽  
Prepregnancy Body Mass Index

Abstract Evidence suggests that maternal prepregnancy body mass index (BMI) is associated with offspring cardiometabolic risk factors. This study was aimed at assessing the association of maternal prepregnancy BMI with offspring cardiometabolic risk factors in adolescence and adulthood. We also evaluated whether offspring BMI was a mediator in this association. The study included mother–offspring pairs from three Pelotas birth cohorts. Offspring cardiometabolic risk factors were collected in the last follow-up of each cohort [mean age (in years) 30.2, 22.6, 10.9]. Blood pressure was measured using an automatic device, cholesterol by using an enzymatic colorimetric method, and glucose from fingertip blood, using a portable glucose meter. In a pooled analysis of the cohorts, multiple linear regression was used to control for confounding. Mediation analysis was conducted using G-computation formula. In the adjusted model, mean systolic blood pressure of offspring from overweight and obese mothers was on average 1.25 (95% CI: 0.45; 2.05) and 2.13 (95% CI: 0.66; 3.59) mmHg higher than that of offspring from normal-weight mothers; for diastolic blood pressure, the means were 0.80 (95% CI: 0.26; 1.34) and 2.60 (95% CI: 1.62; 3.59) mmHg higher, respectively. Non-HDL cholesterol was positively associated with maternal BMI, whereas blood glucose was not associated. Mediation analyses showed that offspring BMI explained completely the association of maternal prepregnancy BMI with offspring systolic and diastolic blood pressure, and non-HDL cholesterol. Our findings suggest that maternal prepregnancy BMI is positively associated with offspring blood pressure, and blood lipids, and this association is explained by offspring BMI.

scholarly journals Associations between Dietary Glycemic Index and Glycemic Load Values and Cardiometabolic Risk Factors in Adults: Findings from the China Health and Nutrition Survey

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Minjuan Li ◽  
Zhixin Cui ◽  
Shuangli Meng ◽  
Ting Li ◽  
Tong Kang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glycemic Index ◽  
Cardiometabolic Risk ◽  
Glycemic Load ◽  
Cardiometabolic Risk Factors ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Dietary Glycemic Index ◽  
Apparently Healthy

Studies investigating the associations between dietary glycemic index (GI) and glycemic load (GL) values and cardiometabolic risk factors (CMRF) among Chinese populations are strikingly limited. To assess the associations between dietary GI and GL values and CMRF, including dyslipidemia, hyperglycemia, and hyperuricemia in Chinese adults, we extracted data of 7886 apparently healthy adults from the 2009 wave of the China Health and Nutrition Survey. Dietary GI and GL values were calculated using data collected from three consecutive 24 h dietary recalls. Fasting lipid, glucose, and uric acid concentrations were measured and CMRF were defined on the basis of established criteria. There were no significant associations between dietary GI values and CMRF, and analyzing the data by age, sex, body mass index (BMI), and region did not alter these results. Dietary GL values were positively associated with prevalence of hyperuricemia in all participants (Q4 compared with Q1: odds ratio (OR) = 1.46; 95% CI: 1.14, 1.87; p-trend = 0.0030) and prevalence of hypercholesterolemia in participants ≥ 60 years old (Q5 compared with Q1: OR = 1.72; 95% CI: 1.11, 2.68; p-trend < 0.0010). Higher dietary GL but not GI values were associated with increased prevalence of hyperuricemia in apparently healthy Chinese adults and hypercholesterolemia in older Chinese adults. Further studies are required to confirm the public health implication of these findings.

Abstract P148: Neck Circumference as an Independent Contributor to Cardio Metabolic Risk Factors - ELSA BRASIL

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Cristina P Baena ◽  
Paulo A Lotufo ◽  
Maria J Fonseca ◽  
Isabela J Benseñor
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Primary Care ◽  
Cardiometabolic Risk ◽  
Neck Circumference ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Men And Women ◽  
Low Hdl

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.

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