scholarly journals Waist-to-height ratio is as reliable as biochemical markers to discriminate pediatric insulin resistance

2019 ◽  
Vol 95 (4) ◽  
pp. 428-434 ◽  
Author(s):  
Rafael de Oliveira Alvim ◽  
Divanei Zaniqueli ◽  
Felipe Silva Neves ◽  
Virgilia Oliveira Pani ◽  
Caroline Resende Martins ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Biochemical Markers ◽  
Height Ratio ◽  
Waist To Height Ratio

scholarly journals Waist‐to‐height ratio is as reliable as biochemical markers to discriminate pediatric insulin resistance

2019 ◽  
Vol 95 (4) ◽  
pp. 428-434
Author(s):  
Rafael de Oliveira Alvim ◽  
Divanei Zaniqueli ◽  
Felipe Silva Neves ◽  
Virgilia Oliveira Pani ◽  
Caroline Resende Martins ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Biochemical Markers ◽  
Height Ratio ◽  
Waist To Height Ratio

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 Body composition and risk for metabolic alterations in female adolescents

2014 ◽  
Vol 32 (2) ◽  
pp. 207-215 ◽  
Author(s):  
Eliane Rodrigues de Faria ◽  
Cristiana Araújo Gontijo ◽  
Sylvia do Carmo C. Franceschini ◽  
Maria do Carmo G. Peluzio ◽  
Silvia Eloiza Priore
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Composition ◽  
Density Lipoprotein ◽  
Female Adolescents ◽  
Fasting Insulin ◽  
Height Ratio ◽  
Metabolic Alterations ◽  
Waist To Height Ratio ◽  
Body Fat Percent

OBJECTIVE: To study anthropometrical and body composition variables as predictors of risk for metabolic alterations and metabolic syndrome in female adolescents.METHODS: Biochemical, clinical and corporal composition data of 100 adolescents from 14 to 17 years old, who attended public schools in Viçosa, Southeastern Brazil, were collected.RESULTS: Regarding nutritional status, 83, 11 and 6% showed eutrophia, overweight/obesity and low weight, respectively, and 61% presented high body fat percent. Total cholesterol presented the highest percentage of inadequacy (57%), followed by high-density lipoprotein (HDL - 50%), low-density lipoprotein (LDL - 47%) and triacylglycerol (22%). Inadequacy was observed in 11, 9, 3 and 4% in relation to insulin resistance, fasting insulin, blood pressure and glycemia, respectively. The highest values of the fasting insulin and the Homeostasis Model Assessment-Insulin Resistance(HOMA-IR) were verified at the highest quartiles of body mass index (BMI), waist perimeter, waist-to-height ratio and body fat percent. Body mass index, waist perimeter, and waist-to-height ratio were the better predictors for high levels of HOMA-IR, blood glucose and fasting insulin. Waist-to-hip ratio was associated to arterial hypertension diagnosis. All body composition variables were effective in metabolic syndrome diagnosis.CONCLUSIONS: Waist perimeter, BMI and waist-to-height ratio showed to be good predictors for metabolic alterations in female adolescents and then should be used together for the nutritional assessment in this age range.

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 Comparison of Waist-to-height Ratio, Hypertriglyceridemic Waist Phenotype, Triglycerides to HDL-C Ratio and Fasting Plasma Glucose With the Matsuda Index for the Prediction of Insulin Resistance/hyperinsulinemia

2020 ◽  
Author(s):  
Katharina Lechner ◽  
Benjamin Lechner ◽  
Alexander Crispin ◽  
Peter Schwarz ◽  
Helene Von Bibra
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Plasma Glucose ◽  
Fasting Glucose ◽  
Entire Group ◽  
Height Ratio ◽  
Hypertriglyceridemic Waist ◽  
Matsuda Index ◽  
Waist To Height Ratio ◽  
Hypertriglyceridemic Waist Phenotype

Abstract BackgroundCurrent screening algorithms for type 2 diabetes (T2D) rely on fasting plasma glucose (FPG) and/or HbA1c. This fails to identify a sizeable subgroup of individuals in early stages of metabolic derangement who are at high risk for developing diabetes or cardiovascular disease. The Matsuda index, a combination of parameters derived from a fasting and postprandial insulin assay, is an early biomarker for metabolic dysfunction (i.e. insulin resistance/compensatory hyperinsulinemia). We compared four widely available anthropometric and biochemical markers indicative of this condition (waist-to-height ratio (WHtR), hypertriglyceridemic waist phenotype (HTW), triglycerides to HDL-C ratio (TG/HDL-C) and FPG) to the Matsuda index.MethodsThis cross-sectional analysis included 2231 individuals with normal fasting glucose (NFG, n=1333), impaired fasting glucose (IFG, n = 599) and T2D (n=299) from an outpatient diabetes clinic in Germany and thus extended a prior analysis from our group done on the first two subgroups. We analyzed correlations of the Matsuda index with WHtR, HTW, TG/HDL-C and FPG and their predictive accuracies by correlation and logistic regression analyses and receiver operating characteristics.ResultsIn the entire group and in NFG, IFG and T2D, the best associations were observed between the Matsuda index and the WHtR (r=-0,458), followed by HTW phenotype (r=-0,438). As for prediction accuracy, WHtR was superior to HTW, TG/HDL-C and FPG in the entire group (area under the curve 0,801) and NFG, IFG and T2D. A multivariable risk score for the prediction of insulin resistance was tested and demonstrated an area under the ROC curve of 0.765 for WHtR and its interaction with sex as predictor controlled by age and sex. The predictive power increased to 0.845 when FPG and TG/HDL-C were included.ConclusionsUsing as a comparator the Matsuda index, WHtR, compared to HTW, TG/HDL-C and FPG, showed the best predictive value for detecting metabolic dysregulation. We conclude that WHtR, a widely available anthropometric index, could refine phenotypic screening for insulin resistance/hyperinsulinemia. This may ameliorate early identification of individuals who are candidates for appropriate therapeutic interventions aimed at addressing the twin epidemic of metabolic and cardiovascular disease in settings where more extended testing such as insulin assays are not feasible.

scholarly journals Insulin Resistance of Normal Weight Central Obese Adolescents in Korea Stratified by Waist to Height Ratio: Results from the Korea National Health and Nutrition Examination Surveys 2008–2010

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Won Kyoung Cho ◽  
Hyojin Kim ◽  
Hyun Young Lee ◽  
Kyung Do Han ◽  
Yeon Jin Jeon ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
National Health ◽  
Central Obesity ◽  
Normal Weight ◽  
Female Adolescents ◽  
Height Ratio ◽  
Health And Nutrition ◽  
High Insulin ◽  
Waist To Height Ratio ◽  
Wbc Count

Background. To evaluate insulin resistance of normal weight central obese 13–18-year-old male and female adolescents stratified by waist to height ratio (WHR).Methods. Data were obtained from the Korea National Health and Nutrition Examination Survey (K-NHANES) conducted during 2008–2010. Central obesity was defined as that in the upper quartile of age and sex specific WHR. Subjects were classified into no central obesity normal weight (NW), central obesity normal weight (CONW), no central obesity overweight (OW), and central obesity overweight (COOW).Results. The prevalence of CONW was 9.6% (83/832) in female and 7.0% (61/909) in male. CONW showed higher levels of insulin (P<0.006), HOMA-IR (P<0.006), and ALT (P<0.001) than NW in female. CONW had higher levels of insulin (P<0.0001), HOMA-IR (P<0.0001), and WBC count (P<0.021) and lower level of HDL (P<0.0001) than NW in male. WHR and BMI had similar significant correlations with MS components. CONW showed 2.5 times (95% confidence interval, 1.21–5.00) more likelihood to have high insulin resistance than NW in male.Conclusions. Screening for central obesity using WHR in clinical setting is recommended.

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