scholarly journals Waist-to-Height Ratio Is a Better Anthropometric Index than Waist Circumference and BMI in Predicting Metabolic Syndrome among Obese Mexican Adolescents

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Edel Rafael Rodea-Montero ◽  
María Lola Evia-Viscarra ◽  
Evelia Apolinar-Jiménez
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Waist To Height Ratio ◽  
Mexican Adolescents

Objective. To identify the degree of association between anthropometric indices and components of metabolic syndrome (MS) and to determine optimal cut-off points of these indices for predicting MS in obese adolescents.Methods. A cross-sectional study with a sample of (n=110) Mexican obese adolescents grouped by sex and the presence/absence of MS. BMI percentile, waist circumference (WC), and waist-to-height ratio (WHtR) were tested. ROC curves of the anthropometric indices were created to identify whether an index was a significant predictor of MS.Results. BMI percentile, WC, and WHtR were significantly correlated with systolic and diastolic blood pressure. As predictors of MS overall patients, the BMI percentile generated an area under curve (AUC) of 0.651 (P=0.008), cut-off point above the 99th percentile. WC generated an AUC of 0.704 (P<0.001), cut-off point of ≥90 cm. WHtR demonstrated an AUC of 0.652 (P=0.008), cut-off point of 0.60. WHtR ≥0.62 and WHtR ≥0.61 generate AUC of 0.737 (P=0.006) and AUC of 0.717 (P=0.014) for predicting hypertension and insulin resistance, respectively, in females.Conclusion. WHtR is a better tool than WC and BMI for identifying cardiometabolic risk. The overall criterion (WHtR ≥ 0.6) could be appropriate for predicting MS in obese Mexican adolescents.

scholarly journals Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sara Khosravian ◽  
Mohammad Ali Bayani ◽  
Seyed Reza Hosseini ◽  
Ali Bijani ◽  
Simin Mouodi ◽  
...  
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Neck Circumference ◽  
Volume Index ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Significant Difference ◽  
Waist To Height Ratio

AbstractBackground: The prevalence of obesity and metabolic syndrome (MetS) are increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.Methods: This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011-2016). Of total, 1488 older people aged 60-92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.Results: Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p=0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p<0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76-0.81) followed by BMI (0.746; 95% CI: 0.71-0.77), AVI (0.745; 95% CI: 0.71-0.77), and waist circumference (0.743; 95% CI: 0.71-0.77).Conclusion: Waist to height ratio was the best predictor of MetS in older adults.

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 Comparisons of body mass index, waist circumference, waist-to-height ratio and a body shape index (ABSI) in predicting high blood pressure among Malaysian adolescents: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e032874 ◽  
Author(s):  
Joyce Ying Hui Tee ◽  
Wan Ying Gan ◽  
Poh Ying Lim
Keyword(s):  
Blood Pressure ◽  
High Blood Pressure ◽  
Body Shape ◽  
Shape Index ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
A Body Shape Index

ObjectiveTo compare the performance of different anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and a body shape index to predict high blood pressure (BP) in adolescents using the 90th and 95th percentiles as two different thresholds.DesignCross-sectional study.SettingProbability proportionate to size was used to randomly select two schools in Selangor state, Malaysia.ParticipantsA total of 513 adolescents (58.9% women and 41.1% men) aged 12–16 years were recruited.Primary and secondary outcome measuresWeight, height, WC and BP of the adolescents were measured. The predictive power of anthropometric indices was analysed by sex using the receiver operating characteristic curve.ResultsBMI and WHtR were the indices with higher areas under the curve (AUCs), yet the optimal cut-offs to predict high BP using the 95th percentile were higher than the threshold for overweight/obesity. Most indices showed poor sensitivity under the suggested cut-offs. In contrast, the optimal BMI and WHtR cut-offs to predict high BP using the 90th percentile were lower (men: BMI-for-age=0.79, WHtR=0.46; women: BMI-for-age=0.92, WHtR=0.45). BMI showed the highest AUC in both sexes but had poor sensitivity among women. WHtR presented good sensitivity and specificity in both sexes.ConclusionsThese findings suggested that WHtR might be a useful indicator for screening high blood pressure risk in the routine primary-level health services for adolescents. Future studies are warranted to involve a larger sample size to confirm these findings.

scholarly journals An Interrelationship between Blood Pressure, Body Roundness Index, Waist Circumference, and Waist to Height Ratio

2019 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Ashok K. Jeppu ◽  
Kavitha A. Kumar ◽  
◽  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Cardiovascular Complications ◽  
Cross Sectional Study ◽  
The Body ◽  
Abdominal Adiposity ◽  
Height Ratio ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Waist To Height Ratio

Obesity is a global epidemic. Obesity related comorbidities include hypertension, diabetes, dyslipidemia, obstructive sleep apnea, and sudden death. Abdominal adiposity has been blamed for causing cardiovascular complications. The body roundness index (BRI) has been considered to be a superior anthropometric measure for abdominal adiposity. The aim of the study was to find the relationship of blood pressure in healthy individuals to BRI, waist circumference (WC), and waist to height Ratio (WHtR). It also tried to find out the relation of BRI to WC and WHtR. This cross-sectional study was conducted on 300 individuals aged between 18 and 60 years who were apparently healthy (not on any treatment or physical training) and willing to participate in this study. A structured questionnaire was used to collect the data. Parameters like height, weight, and WC were measured. BRI and WHtR were calculated. The data was analyzed using descriptive and inferential statistics. We observed that BRI was well correlated to the WC, body mass index (BMI), and WHtR. Both the systolic and diastolic blood pressure correlated well with BRI. BRI and WHtR, both are good parameters to evaluate the blood pressure of an individual.

scholarly journals BMI, Waist to Height Ratio and Waist Circumference as a screening tool for Hypertension in Hospital out Patients: A Cross-Sectional, Non-inferiority study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Sanjib K. Upadhyay ◽  
Bijay Khatri ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factor ◽  
Waist Circumference ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Outpatient Setting ◽  
Anthropometric Measurement ◽  
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 in the developed world, it has become a problem in low-and middle-income countries, including Nepal. In the absence of routine surveillance or a registry system, the actual burden and trend of obesity in Nepal is unknown. Obesity and overweight are recognized as risk factors for hypertension and associated with cardiovascular diseases. The study aimed to find out the burden of obesity, using three commonly employed metrics in the hospital outpatient setting of a developing country as predictors of hypertension, and compare the 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 evaluated in Health Promotion and Risk Factor Screening Service. We did a 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 WHtR was 32.76%, which is two times higher than obesity measured by BMI. High WC was observed among 66.76% of participants. Female participants had a greater prevalence of high WC (77.46%) than males (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).ConclusionWC correlated well with obesity and hypertension. It also had a higher predicting ability than WHtR and BMI to predict hypertension. WC thus proved to be non-inferior to two other commonly used metrics. It proved superior in detecting obesity in female. This inexpensive and simple non-tension 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 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.

Waist-to-Height Ratio Is a Better Predictor of Hyperuricemia than Body Mass Index and Waist Circumference in Chinese

2019 ◽  
Vol 75 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Zhi-pei Huang ◽  
Bi-xia Huang ◽  
Hui Zhang ◽  
Ming-fan Zhu ◽  
Hui-lian Zhu
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Linear Trend ◽  
Roc Curves ◽  
Height Ratio ◽  
Cross Sectional ◽  
Predictive Values ◽  
Significant Difference ◽  
Waist To Height Ratio

Objective: Our study aimed to compare the predictive value of waist-to-height ratio (WHtR) for hyperuricemia with body mass index (BMI) and waist circumference (WC). Methods: This is a cross-sectional study of 9,206 South China residents (male/female: 4,433/4,773) aged 18–89 years recruited during years 2009–2010 and 2014–2015. Anthropometric measurements, serum uric acid, blood pressure, and plasma glucose, lipid, lipoprotein, and transferase levels were measured. Receiver operating characteristic (ROC) curve and logistic regression analyses were applied to evaluate the predictive values of anthropometric indices for hyperuricemia. Results: The prevalence of hyperuricemia increased significantly with higher quartiles of WHtR in both genders. The best cutoff points of WHtR to predict hyperuricemia are 0.52 for men and 0.49 for women and differed between different BMI and WC stratums. Although there was no significant difference between the area under the ROC curves, subjects in the top quartile of WHtR were at a highest risk of hyperuricemia (p for linear trend <0.001) and the adjusted ORs of WHtR (2.24–2.77 in men and 2.66–4.95 in women) were higher than those of BMI or WC in the multivariable regression model. Conclusions: WHtR was an independent and better predictor of hyperuricemia compared with BMI and WC.

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