scholarly journals Adiposity indices in the prediction of insulin resistance in prepubertal Colombian children

2012 ◽  
Vol 16 (2) ◽  
pp. 248-255 ◽  
Author(s):  
Noel T Mueller ◽  
Mark A Pereira ◽  
Adriana Buitrago-Lopez ◽  
Diana C Rodríguez ◽  
Alvaro E Duran ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Skinfold Thickness ◽  
Model Assessment ◽  
Height Ratio ◽  
Prepubertal Children ◽  
Stepwise Selection ◽  
Waist To Height Ratio ◽  
Age And Sex

AbstractObjectiveTo compare BMI with abdominal skinfold thickness (ASF), waist circumference and waist-to-height ratio in the prediction of insulin resistance (IR) in prepubertal Colombian children.DesignWe calculated age- and sex-specific Z-scores for BMI, ASF, waist circumference, waist-to-height ratio and three other skinfold-thickness sites. Logistic regression with stepwise selection (P = 0·80 for entry and P = 0·05 for retention) was performed to identify predictors of IR and extreme IR, which were determined by age- and sex-specific Z-scores to identify the ≥ 90th and ≥ 95th percentile of homeostasis model assessment (HOMAIR), respectively. We used receiver operating characteristic curves to compare the area under the curve between models.SettingBucaramanga, Colombia.SubjectsChildren (n 1261) aged 6–10 years in Tanner stage 1 from a population-based study.ResultsA total of 127 children (seventy girls and fifty-seven boys) were classified with IR, including sixty-three children (thirty-three girls and thirty boys) classified with extreme IR. Only ASF and BMI Z-scores were retained as predictors of IR by stepwise selection. Adding ASF Z-score to BMI Z-score improved the area under the curve from 0·794 (95 % CI 0·752, 0·837) to 0·811 (95 % CI 0·770, 0·851; P for contrast = 0·01). In predicting extreme IR, the addition of ASF Z-score to BMI Z-score improved the area under the curve from 0·837 (95 % CI 0·790, 0·884) to 0·864 (95 % CI 0·823, 0·905; P for contrast = 0·01).ConclusionsASF Z-score predicted IR independent of BMI Z-score in our population of prepubertal children. ASF and BMI Z-scores together improved IR risk stratification compared with BMI Z-score alone, opening new perspectives in the prediction of cardiometabolic risk in prepubertal children.

scholarly journals KEJADIAN RESISTENSI INSULIN PADA ANAK OBESITAS USIA 9-12 TAHUN DI KOTA SEMARANG

2017 ◽  
Vol 6 (4) ◽  
pp. 391
Author(s):  
Hana Asnelviana ◽  
Muhammad Sulchan ◽  
Binar Panunggal
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Energy Requirement ◽  
The Body ◽  
Model Assessment ◽  
Height Ratio ◽  
Cross Sectional ◽  
Z Scores ◽  
Waist To Height Ratio ◽  
Cross Sectional Design

Introduction: Obesity is caused by imbalance amount of energy intake and energy requirement of the body. Obesity in children has high risk to become obesity in adult and results in degenerative diseases. In obese children have higher of getting insulin  resistance. This study was aimed to determine insulin resistance in obesity children aged 9-12 years in Semarang.Methods: This study used a cross-sectional design with two groups: height below the median-obesity circumference (TBBM-obesity) and height above the median-obesity (TBAM-obesity). Screening was done in 602 children aged 9-12 years in urban and suburban areas of Semarang. Nutritional status was determined with measurements of z-scores of height-for-age (HAZ) and waist circumference. To define insulin resistance were measured using homeostasis model assessment of insulin resistance (HOMA-IR). Data were then analyzed by Mann-Whitney test and Spearman test.Results: There was found 75% subjects with high HOMA-IR value. HOMA-IR value in TBAM-obesity was 42.5% higher than TBBM-obesity was 32.5% (p= 0,088). Waist circumference and Waist to Height Ratio(WHtR) has a correlation on the increased HOMA-IR value (r= 0.662 p=0.000 and  r= 0.333 p=0.036) and height does not has a correlation on the increased HOMA-IR value (r=0.235; p= 0.144). Conclusion: Insulin resistance from all subject were found 75%. Waist circumference and Waist to Height Ratio(WHtR) has a correlation on the increased HOMA-IR value and height does not has a correlation on the increased HOMA-IR value.

Association between waist circumference and waist-to-height ratio with insulin resistance biomarkers in normal-weight adults working in a private educational institution

2019 ◽  
Vol 13 (3) ◽  
pp. 2041-2047 ◽  
Author(s):  
Diego Urrunaga-Pastor ◽  
Luciana De La Fuente-Carmelino ◽  
Carlos J. Toro-Huamanchumo ◽  
Miriam Pérez-Zavala ◽  
Vicente A. Benites-Zapata
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Educational Institution ◽  
Normal Weight ◽  
Height Ratio ◽  
Waist To Height Ratio

scholarly journals BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Overweight And Obesity ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Cross Sectional ◽  
High Waist Circumference ◽  
Waist To Height Ratio

Abstract Background: Obesity has become a global epidemic with a rise in noncommunicable diseases. It is now becoming the problem of low- and middle-income countries such as Nepal. Conventional risk factors are present in a high proportion in the Nepalese population. As a routine surveillance or registry system is absent, the actual burden and trend of obesity and hypertension in Nepal are unknown. Hypertension and other cardiovascular diseases can be prevented by detecting risk factors such as obesity and high blood pressure. A simple anthropometric measurement could be used to determine the risk of hypertension. However, the best predictor of hypertension remains contentious and controversial. We aimed to determine the burden of obesity and hypertension and test the ability to determine hypertension through different anthropometric measurements in hospital outpatients in a low-income setting.Methods: This hospital-based cross-sectional descriptive study was conducted from June to December 2019 among 40-69 year outpatients in a tertiary eye and ENT hospital in a semi-urban area of Nepal among a randomly selected sample of 2,256 participants from 6,769 outpatients visited in Health Promotion and risked factor screening service. We performed a correlation analysis to determine the relationship between anthropometric measurements and blood pressure. The area under the receiver operating characteristic (ROC) curve of body mass index (BMI), waist to height ratio (WHtR) and waist circumference (WC) was calculated and compared.Results: The mean (SD) age of the participants was 51.75 (8.47) years. The overall prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively. The overall prevalence of abdominal obesity by waist-to-height ratio was 32.76%, which is higher than obesity by BMI. High waist circumference was observed among 66.76% participants, whereas female participants had a very higher prevalence of high waist circumference (77.46%) and male participants (53.73%) (p<0.001). The prevalence of hypertension among the participants with BMI≥25 kg/m2, WHtR≥0.5 and WC≥ cutoff values was 45.97%, 42.52% and 45.28%, respectively. The overall prevalence of hypertension and prehypertension was 40.67% and 36.77%, respectively. Male participants had a slightly higher prevalence of hypertension (42.72%) than female participants (39.00%). The areas under the curve (AUCs) were significantly higher than 0.5 for BMI (0.570, 95% CI: 0.548-0.592), WC (0.585, 95% CI: 0.563-0.607) and WHtR (0.586, 95% CI: 0.564-0.608). In both genders, the area under the curve was significantly higher than 0.5 (P<0.01). In all age groups, the area under the curve was also significantly higher than 0.5.Conclusion: Waist circumference was both correlated as well as had higher predictive capacity amongst WHtR and BMI and may play a major role in the future diagnosis of HTN in Nepali adults. Regardless of the anthropometric metrics used to measure overweight and obesity, the hospital setting is an opportunity centre to screen for overweight, obesity and hypertension, which are major risk factors for NCDs.

scholarly journals Endothelial dysfunction is related to insulin resistance and inflammatory biomarker levels in obese prepubertal children

2007 ◽  
Vol 156 (4) ◽  
pp. 497-502 ◽  
Author(s):  
Miguel Valle Jiménez ◽  
Rosario Martos Estepa ◽  
Rosario MaMorales Camacho ◽  
Ramón Cañete Estrada ◽  
Félix Gascón Luna ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Endothelial Dysfunction ◽  
Intercellular Adhesion Molecule ◽  
Low Grade ◽  
Model Assessment ◽  
Obese Children ◽  
Prepubertal Children ◽  
The Metabolic Syndrome ◽  
Pai 1 ◽  
Age And Sex

Background: The metabolic syndrome (MS) is associated with insulin resistance (IR), a systemic low-grade inflammatory state and endothelial dysfunction. These disorders may arise at a very early age in obese children. This study aimed to investigate the relationship between endothelial dysfunction and both IR and inflammation in prepubertal obese children. Methods and results: Von Willebrand factor (vWF) and soluble intercellular adhesion molecule-1 (sICAM-1) levels were measured in 46 obese prepubertal children aged 6–9, and in 46 non-obese, age-and sex-matched controls; the possible association of these levels with MS, various inflammatory biomarkers and plasminogen activator inhibitor-1 (PAI-1) was analyzed. Obese children displayed significantly elevated values for sICAM-1 (P = 0.008), vWF (P = 0.034), insulin (P = 0.006), homeostasis model assessment for IR (HOMA-IR; P = 0.003), C-reactive protein (CRP) (P < 0.001), PAI-1 (P = 0.002) and leptin (P < 0.001). Nonsignificant differences were found in interleukin 6 (IL-6) levels. In the obese group, sICAM-1 showed a positive correlation with insulin (P = 0.013), HOMA-IR (P = 0.015), CRP (P = 0.020), IL-6 (P = 0.023) and PAI-1 (P = 0.015). Corrected for age and sex, insulin, HOMA-IR, IL-6 and CPR were found to be independent predictive factors for sICAM-1. Conclusions: Prepubertal obese children displayed alterations indicative of endothelial dysfunction as well as disorders typical of MS. An association was established between endothelial dysfunction, IR, inflammation and inappropriate fibrinolysis in the children studied.

scholarly journals Waist-to-height ratio as a clinical predictor for cardiovascular risks and insulin resistance in children and adolescents with exogenous obesity

2021 ◽  
Vol 69 (1) ◽  
Author(s):  
Hend Soliman ◽  
Samah Ahmed ◽  
Amany Ibrahim
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Risk ◽  
Lipid Profile ◽  
Children And Adolescents ◽  
Density Lipoprotein ◽  
Model Assessment ◽  
Height Ratio ◽  
Clinical Predictor ◽  
Waist To Height Ratio ◽  
Risk Ratios

Abstract Background Obesity is one of the most challenging clinical syndromes associated with deleterious health problems. Waist-to-height ratio (WHtR), a newer index for abdominal fat assessment, can be a superior tool in the evaluation of cardiometabolic risk. This study aimed to determine the relation between WHtR and lipid cardiovascular risk ratios and insulin resistance (IR) in children and adolescents with exogenous obesity. Results This analytical cross-sectional study included 80 children and adolescents with exogenous obesity, compared to 80 age- and sex-matched healthy non-overweight non-obese controls. Fasting lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL)), fasting insulin, and fasting blood glucose were done and lipoprotein risk ratios were calculated; TC/HDL, LDL/HDL, non-HDL/HDL, and TG/HDL). In addition, homeostatic model assessment for IR (HOMA IR), triglyceride glucose index (TyG), TyG-BMI, and TyG-WC were calculated. The study group included 55 (34.4%) males and 105 (65.6%) females with a mean age of 13.6 ± 2.22 years. Obese group had significantly higher TC, TG, LDL, non-HDL, LDL/HDL, TC/HDL, non-HDL/HDL, and TG/HDL, with significantly lower HDL. In addition, they had significantly higher FBG, HOMA IR, TyG, TyG-BMI, and TyG-WC indices compared to the control group. There were statistically significant correlations between WHtR and lipid profile, lipid risk ratios and indices of IR. WHtR was found to be an independent predictor of IR by linear regression analysis. Conclusion WHtR can be an excellent, easy, and reliable clinical predictor for cardiovascular risk and IR in children and adolescents with exogenous obesity.

Waist-to-height ratio as a screening measure for identifying adolescents with hypertriglyceridemic waist phenotype

2015 ◽  
Vol 28 (9-10) ◽  
Author(s):  
Xiao-li Liu ◽  
Fu-zai Yin ◽  
Chun-peng Ma ◽  
Guo-qin Gao ◽  
Chun-ming Ma ◽  
...  
Keyword(s):  
High Risk ◽  
Waist Circumference ◽  
Elevated Serum ◽  
Area Under The Curve ◽  
Population Based ◽  
Height Ratio ◽  
Serum Triglycerides ◽  
Cross Sectional ◽  
Hypertriglyceridemic Waist ◽  
Waist To Height Ratio

AbstractThe purpose of the present study was to investigate the relationship between waist-to-height ratio (WHtR) and the hypertriglyceridemic waist (HTGW) phenotype to test the hypothesis that WHtR can identify adolescents at high risk of the HTGW phenotype.In 2006, anthropometric measurements were assessed in a cross-sectional population-based study of 3136 Han adolescents aged 13–17 years. Blood samples were collected to measure triacylglycerol concentrations. WHtR was calculated by waist circumference/height. The HTGW phenotype was represented by the simultaneous presence of elevated serum triglycerides and increased waist circumference. The ability of WHtR to accurately define the HTGW phenotype was assessed by area under the curve (AUC).The prevalence of the HTGW phenotype was 3.3% (boys 3.6% vs. girls 2.9%, χWHtR is simpler than the HTGW phenotype and does not require blood tests. The prevalence of the HTGW phenotype increased with WHtR. Higher WHtR can identify adolescents with high risk of the HTGW phenotype.

scholarly journals Triglyceride Glucose-Waist Circumference Better Predicts Coronary Calcium Progression Compared with Other Indices of Insulin Resistance: A Longitudinal Observational Study

2020 ◽  
Vol 10 (1) ◽  
pp. 92
Author(s):  
Yun Kyung Cho ◽  
Jiwoo Lee ◽  
Hwi Seung Kim ◽  
Eun Hee Kim ◽  
Min Jung Lee ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Tyg Index ◽  
Longitudinal Observational Study ◽  
Potential Marker ◽  
Reliable Marker ◽  
Better Than

The triglyceride glucose (TyG) index, a product of triglyceride and fasting glucose, is a reliable marker for insulin resistance. We aimed to investigate the association between the TyG-related markers and coronary artery calcification (CAC) progression. We enrolled 1145 asymptomatic participants who underwent repeated CAC score measurements during routine health examinations. Homeostasis model assessment of insulin resistance (HOMA-IR), TyG index, TyG-BMI (body mass index), and TyG-WC (waist circumference) were calculated. Progression of CAC was defined as (1) incident CAC in a CAC-free population, or an (2) increase of ≥2.5 units between the baseline and final square root of the CAC scores in participants with detectable CAC. According to the quartiles of parameters, we stratified the subjects into four groups. The prevalence of progression increased with the TyG-WC quartile (15.0%, 24.1%, 31.0%, and 32.2% for each of the groups; p < 0.001). The multivariate-adjusted odds ratio (95% confidence interval) for CAC score progression was 1.66 (1.01–2.77) when the highest and lowest TyG-WC index quartiles were compared. Furthermore, the predictability of TyG-WC for CAC progression was better than the other indices in terms of the area under the curve. The TyG-WC index predicted CAC progression better than other indices and could be a potential marker of future coronary atherosclerosis.

scholarly journals Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?

2019 ◽  
Vol 74 (3) ◽  
pp. 215-223 ◽  
Author(s):  
Na Li ◽  
Tian Yang ◽  
Wen-Qian Yu ◽  
Hao Liu
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Skinfold Thickness ◽  
Relative Power ◽  
Operating Characteristics ◽  
General Obesity ◽  
Height Ratio ◽  
Incident Hypertension ◽  
Waist To Height Ratio

Background: It is still controversial which anthropometric indicator could be the best predictor of the incident hypertension. Objectives: To examine the relative power of body mass index (BMI), waist circumference (WC), skinfold thickness, waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR) in predicting the incidence of hypertension in Chinese adults. Method: Data were obtained from the China Health and Nutrition Survey. Overweight was defined as BMI ≥23 kg/m2 and general obesity as BMI ≥27.5 kg/m2. Abdominal obesity was defined by WC values ≥90 cm for males and ≥80 cm for females. Skinfold thickness, WHR, and WHTR were divided into low and high groups according to receiver operating characteristics. Cox regressions and nomograms were employed to compare the relative power of 5 indicators in predicting incident hypertension. Results: When all indicators were analyzed simultaneously, the best predictor of incident hypertension was general obesity (p < 0.001, adjusted hazard ratio [HR] 1.9, 95% CI 1.6–2.2). The results stratified by sex showed that BMI and WC were the more powerful predictors of hypertension in males (adjusted HR 1.8 and 1.3, 95% CI 1.4–2.3 and 1.1–1.5, respectively) as well as in females (adjusted HR 2.0 and 1.4, 95% CI 1.6–2.4 and 1.2–1.6, respectively). Conclusions: BMI and WC may predict incident hypertension better than skinfold thickness, WHR, and WHTR in the Chinese population.

scholarly journals Marked Influence of Adiposity on Laboratory Biomarkers in a Healthy Cohort of Children and Adolescents

2019 ◽  
Vol 105 (4) ◽  
pp. e1781-e1797 ◽  
Author(s):  
Victoria Higgins ◽  
Arghavan Omidi ◽  
Houman Tahmasebi ◽  
Shervin Asgari ◽  
Kian Gordanifar ◽  
...  
Keyword(s):  
Uric Acid ◽  
Waist Circumference ◽  
Children And Adolescents ◽  
Biochemical Markers ◽  
Biochemical Marker ◽  
Reference Intervals ◽  
Healthy Children ◽  
Height Ratio ◽  
Waist To Height Ratio ◽  
Age And Sex

Abstract Background The prevalence of pediatric obesity is increasing worldwide and strongly associates with metabolic abnormalities, including inflammation, insulin resistance, and dyslipidemia. This study assessed the influence of 3 measures of adiposity on levels of routinely assessed biochemical markers in apparently healthy children and adolescents. Methods The influence of adiposity on 35 biochemical markers was examined in the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort of healthy children and adolescents by comparing serum biomarker levels between subjects with a normal weight, overweight, and obese body mass index (BMI). The cohort comprised 1332 subjects 5.1 to 19.0 years of age with a BMI ranging from 13.4 to 65.0 kg/m2. The association between each biochemical marker and BMI, waist circumference, and waist-to-height ratio z-scores was assessed, while adjusting for age and sex. Reference intervals were established for all biochemical markers before and after removing overweight/obese subjects. Results In children and adolescents, levels of 13 routinely assessed biochemical markers, including alanine aminotransferase, apolipoprotein B, complement components 3 and 4, cholinesterase, high sensitivity C-reactive protein, gamma-glutamyl transferase, haptoglobin, high-density lipoprotein cholesterol, iron, transferrin, triglycerides, and uric acid, were significantly different between BMI categories. BMI, waist circumference, and/or waist-to-height ratio were significantly associated with the serum concentration of 24 of the 35 markers examined, after adjusting for age and sex. Conclusions Excess adiposity significantly influences circulating levels of routinely assessed laboratory markers, most notably liver enzymes, lipids/lipoproteins, inflammatory markers, and uric acid in children and adolescents. Although it is unknown whether altered biochemical marker levels in subjects with overweight/obesity reflect health or indolent disease, clinicians should be aware of the effect of weight status on several laboratory tests.

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