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 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 Association of eating patterns and abdominal adiposity in Brazilian

2017 ◽  
Vol 30 (6) ◽  
pp. 783-793 ◽  
Author(s):  
Danielle Cristina Guimarães da SILVA ◽  
Kelly Aparecida da Cunha PEREIRA ◽  
Wellington SEGHETO ◽  
Fabrícia Geralda FERREIRA ◽  
Kátia Josiany SEGHETO ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Dietary Patterns ◽  
Population Based ◽  
Cross Sectional Study ◽  
Eating Patterns ◽  
Abdominal Adiposity ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

ABSTRACT Objective To examine the relationship between dietary patterns and abdominal adiposity among adults living in the urban area of Viçosa, Minas Gerais, Brazil. Methods A population-based, cross-sectional study of 959 adults of both sexes. Information on sociodemographic characteristics and dietary intake was collected through questionnaires. Abdominal adiposity was evaluated using waist circumference and the anthropometric indices waist-to-hip ratio and waist-to-height ratio. Food patterns were identified by factor analysis. Poisson regression was used for multivariate analysis. Results Abdominal adiposity was identified by waist circumference in 59.06% (95%CI=52.77–65.08) of the sample, by waist-to-hip ratio in 54.65% (95%CI=47.92–61.21), and by waist-to-height ratio in 9% (95%CI=54.61–69.03). Two dietary patterns, named as traditional Brazilian and bar, were identified in the sample, but only the latter was statistically associated with abdominal adiposity determined by the three parameters. Conclusion The study identified two eating patterns in the population, a healthy and an unhealthy pattern, the latter being associated with greater odds of abdominal adiposity. Thus, it is important to take measures to reverse this trend.

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 Factor ◽  
Waist Circumference ◽  
Low Income ◽  
Cross Sectional Study ◽  
Anthropometric Measurement ◽  
Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obesity And Overweight ◽  
Waist To Height Ratio

Abstract BackgroundObesity has become a global epidemic and an important risk factor for non-communicable diseases. Earlier thought to be a problem of developed world, it has now become a problem of low- and middle-income countries like Nepal. In absence of a routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized risk factors for hypertension and associated with cardiovascular disease. The aim of the study was to find out burden of obesity, using three commonly employed metrics in hospital outpatient setting of a low-income country as predictors of hypertension, and compare ability of different anthropometric measurements through a non-inferiority study to predict hypertension.MethodsThis cross-sectional study was conducted among 40-69 years outpatients in a tertiary Eye and ENT hospital in a semi-urban area of Nepal among randomly selected 2,256 participants from 6,769 outpatients who were evaluated in Health Promotion and risk factor screening service. We did correlation analysis to determine the relationship between anthropometric measurement and blood pressure. The area under the Receiver Operating characteristic curve of Body Mass Index (BMI), Waist to Height Ratio (WHtR) and Waist Circumference (WC) was calculated and compared. ResultsThe prevalence of obesity and overweight by BMI was 16.09% and 42.20% respectively; by Waist-to-Height-Ratio was 32.76% which is two times higher than obesity measured by BMI. High waist circumference was observed among 66.76% participants. Female participants had greater prevalence of high WC (77.46%) than male (53.73%) (p<0.001). Prevalence of hypertension and pre-hypertension was 40.67% and 36.77% respectively. The areas under the curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionWaist circumference correlated well with obesity and hypertension. It also had higher predicting ability than WHtR and BMI to predict hypertension. Waist circumference thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This simple and inexpensive tape measurement may play an important role in future diagnosis of obesity and prediction of HTN in resource constrained settings of developing countries.

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.

scholarly journals Hypertriglyceridemic Waist and Associated Factors: A Cross-Sectional Study of Bank Employees

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1398-1398
Author(s):  
Júlia Ferreira ◽  
Rebeca Oliveira ◽  
Monica Cattafesta ◽  
Luciane Salaroli
Keyword(s):  
Elevated Serum ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Health Condition ◽  
Sectional Study ◽  
Serum Triglycerides ◽  
Cross Sectional ◽  
Hypertriglyceridemic Waist ◽  
Low Hdl ◽  
Men Elderly

Abstract Objectives This paper investigates the prevalence of hypertriglyceridemic waist in bank workers and its association with socioeconomic, labor, behavioral, anthropometric and health condition factors. Methods This is a cross-sectional study based on information from 525 bank workers. Hypertriglyceridemic waist was defined by the simultaneous presence of abdominal obesity, verified by the waist circumference, and elevated serum triglycerides. Associations were verified with sociodemographic, labor, behavioral, anthropometric and health condition variables. Results The investigation resulted in a phenotype prevalence of 19.4%, being higher in men, elderly, married and working in the bank for more than 5 years. The phenotype was also associated with overweight, low HDL-c (high-density lipoprotein), mixed hyperlipidemia, high triglyceride/HDL-c ratio and arterial hypertension. Being over 50 years of age and being overweight increased the chances of the bankers presenting the phenotype. Being female and having adequate levels of HDL-c were shown to be protective factors against the phenotype. Conclusions It was concluded that the prevalence of hypertriglyceridemic waist is high and is associated mainly with the excess weight and unfavorable lipid profile of this population. Funding Sources This research received no external funding.

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.

Sign in / Sign up

Export Citation Format

Share Document