scholarly journals Propriedade diagnóstica dos indicadores antropométricos na predição do excesso de gordura corporal estimado por meio do DXA em mulheres hipertensas

2017 ◽  
Vol 19 (3) ◽  
pp. 299
Author(s):  
Camila Tomicki ◽  
Aline Mendes Gerage ◽  
Raphael Mendes Ritti-Dias ◽  
Diego Augusto Santos Silva ◽  
Tânia Rosane Bertoldo Benedetti
Keyword(s):  
Body Fat ◽  
Roc Curve ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio ◽  
Total Fat ◽  
Conicity Index

Excess body fat is an important risk factor for the development of arterial hypertension. The aim of this study was to verify the diagnostic performance of anthropometric indicators in the prediction of excess body fat estimated by Dual-energy Radiometric Absorptiometry (DXA) in hypertensive women. A cross-sectional study with 71 hypertensive women (57.9 ± 10.1 years; 77.8 ± 15.1 kg; 156.8 ± 5.2 cm) was carried out. he anthropometric indicators analyzed were: Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR) and Conicity Index (C Index). Body fat measured by DXA was used as the reference method. Descriptive statistics and ROC curve were used for data analysis. Comparing the anthropometric indicators with the percentage of total fat estimated by DXA, signiicant diferences were observed in BMI, WC and WHR (P <0.05). In relation to the percentage of trunk fat, a diference was identiied in BMI and WC (P <0.05). Among the anthropometric indicators analyzed, BMI (0.83), WC (0.79) and WHtR (0.80) had the largest areas under the ROC curve in relation to excess body fat determined by DXA. he cutof points were conservative in relation to those suggested in literature. Anthropometric indicators BMI (24.72 kg/m²), WC (87.81 cm) and WHtR (0.55) can be adopted in the evaluation of excess body fat in hypertensive women, since they demonstrated to be good predictors when confronted with DXA.

scholarly journals Using Anthropometric Indicator to Identify Hypertension in Adolescents: A Study in Sarawak, Malaysia

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Whye Lian Cheah ◽  
Ching Thon Chang ◽  
Helmy Hazmi ◽  
Grace Woei Feng Kho
Keyword(s):  
Predictive Power ◽  
School Setting ◽  
Cross Sectional Study ◽  
Cutoff Point ◽  
Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Anthropometric Indicators ◽  
Significant Area ◽  
Waist To Height Ratio

This cross-sectional study was conducted to determine the predictive power of anthropometric indicators and recommend cutoff points to discriminate hypertension among adolescents in Sarawak, Malaysia. A total of 2461 respondents aged 12-17 years participated in this study with mean age of 14.5±1.50 years. All anthropometric indicators had significant area under the ROC curve, with body mass index (BMI) and waist circumference (WC) ranging from 0.7 to 0.8. The best anthropometric indicators for predicting hypertension for boys were WC, BMI, and waist-to-height ratio (WHtR). For girls, BMI was the best indicators followed by WHtR and WC. The recommended BMI cutoff point for boys was 20 kg/m2 and 20.7 kg/m2 for girls. For WC, the recommended cutoff point was 67.1 cm for boys and 68.2 cm for girls. BMI and WC indicators were recommended to be used at the school setting where the measurement can easily be conducted.

scholarly journals Acurácia de indicadores antropométricos de obesidade para predição do excesso de gordura corporal em adolescentes de onze a catorze anos

2016 ◽  
Vol 18 (5) ◽  
pp. 548
Author(s):  
Kethrin Maila Weiss ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis ◽  
Andreia Pelegrini
Keyword(s):  
Body Mass Index ◽  
Body Fat ◽  
Roc Curves ◽  
Skinfold Thickness ◽  
Southern Brazil ◽  
Height Ratio ◽  
Public And Private ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio ◽  
Conicity Index

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n5p548 The aim of this study was to evaluate the diagnostic accuracy of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and conicity index (C index) for the prediction of excess body fat (estimated by skinfold thickness) and determine the cutoffs of anthropometric indicators (BMI, WC, WHtR and C index) that best predict excess body fat. Overall, 1,589 students (11-14 years old) from public and private schools of Florianopolis (southern Brazil) participated in this study. Anthropometric measurements of body weight, height, WC, and skinfolds (triceps and medial calf) were collected. ROC curves were used to compare the discriminatory power of BMI, WC, WHtR and C index in detecting adolescents with excess body fat (relative body fat estimated with skinfold thickness). All anthropometric indicators, except for C index in females, obtained good performance in the detection of excess body fat in both sexes, expressed as the area under the ROC curve. Cutoffs for boys and girls, respectively, associated with high excess body fat were BMI (20.7 and 19.7kg/m²), WC (68.7 and 65.9cm), WHtR (0.43 and 0.41cm), and C index (1.13 and 1.11). The study showed that, except for C index in females, BMI, WC and WHtR can be used to identify excess body fat in adolescents, considering the suggested cutoffs from this research.

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

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e050096
Author(s):  
Rajan Shrestha ◽  
Sanjib Kumar Upadhyay ◽  
Bijay Khatri ◽  
Janak Raj Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Low Income ◽  
Roc Curve ◽  
Low Cost ◽  
Tertiary Hospital ◽  
Cross Sectional Study ◽  
Outpatient Setting ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Height Ratio

ObjectiveThis non-inferiority study aimed to determine the burden of obesity in a hospital outpatient setting of a developing country, using three commonly employed metrics as predictors of hypertension (HTN).DesignA cross-sectional study design was adopted.SettingThis study was conducted in Health Promotion and Risk Factor Screening Services of a tertiary hospital for eye and ear, nose, throat in a semiurban area of Nepal.Participants2256 randomly selected outpatients between 40 and 69 years old.Outcome measuresThe three obesity metrics and HTN were analysed for association using correlation, the area under the receiver operating characteristic (ROC) curve and ORs.ResultsThe prevalence of obesity or overweight by body mass index (BMI) was 58.29%; by waist-to-height ratio (WHtR) was 85.95%, high waist circumference (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 HTN and pre-HTN were 40.67% and 36.77%, respectively. The areas under the ROC curve were significantly higher than 0.5 for BMI (0.593), WHtR (0.602) and WC (0.610).ConclusionThis study showed that WHtR and WC measured were not inferior to BMI as a metric for obesity detection and HTN prediction. Because of its low cost, simplicity of measurement and better ability to predict HTN, it may become a more usable metric in health facilities of low-income and middle-income countries.

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 Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline

2018 ◽  
Vol 21 (6) ◽  
pp. 1028-1035 ◽  
Author(s):  
Marcelo Castanheira ◽  
Dóra Chor ◽  
José Uéleres Braga ◽  
Letícia de Oliveira Cardoso ◽  
Rosane Härter Griep ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
False Negative ◽  
False Negative Rate ◽  
Cross Sectional Study ◽  
Discriminatory Power ◽  
Adult Health ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
Better Than

AbstractObjectiveTo evaluate the performance of waist-to-height ratio (WHtR) in predicting cardiometabolic outcomes and compare cut-off points for Brazilian adults.DesignCross-sectional study. WHtR areas under the curve (AUC) were compared with those for BMI, waist circumference (WC) and waist-to-hip ratio (WHR). The outcomes of interest were hypertension, diabetes, hypertriacylglycerolaemia and presence of at least two components of metabolic syndrome (≥2 MetS). Cut-offs for WHtR were compared and validity measures were estimated for each point.SettingTeaching and research institutions in six Brazilian state capitals, 2008–2010.SubjectsWomen (n 5026) and men (n 4238) aged 35–54 years who participated in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) at baseline.ResultsWHtR age-adjusted AUC ranged from 0·68 to 0·72 in men and 0·69 to 0·75 in women, with smaller AUC for hypertriacylglycerolaemia and the largest for ≥2 MetS. WHtR performed better than BMI for practically all outcomes; better than WHR for hypertension in both sexes; and displayed larger AUC than WC in predicting diabetes mellitus. It also offered better discriminatory power for ≥2 MetS in men; and was better than WC, but not WHR, in women. Optimal cut-off points of WHtR were 0·55 (women) and 0·54 (men), but they presented high false-negative rate compared with 0·50.ConclusionsWe recommend using WHtR (which performed similarly to, or better than, other available indices of adiposity) as an anthropometric index with good discriminatory power for cardiometabolic outcomes in Brazilian adults, indicating the already referenced limit of WHtR≥0·50.

scholarly journals A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations

2020 ◽  
Vol 17 (21) ◽  
pp. 7940
Author(s):  
Rafael Molina-Luque ◽  
Aina M Yañez ◽  
Miquel Bennasar-Veny ◽  
Manuel Romero-Saldaña ◽  
Guillermo Molina-Recio ◽  
...  
Keyword(s):  
Body Fat ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Population Characteristics ◽  
Concordance Correlation ◽  
Cross Sectional ◽  
Body Adiposity ◽  
Percentage Of Body Fat ◽  
Bland Altman Method ◽  
Cardiovascular Pathologies

There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics.

scholarly journals Optimal cut-off values for anthropometric indices of obesity as discriminators of cardiovascular risk factors in a Health Examinees study: a cross-sectional study

2020 ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Optimal Cutoff ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
Obesity Indices ◽  
Conicity Index

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff value for obesity indices to discriminate the presence of cardiovascular risk factors in a Health Examinees study.Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study. The presence of cardiovascular risk factors was defined as having at least one of the following: hypertension, hyperglycemia or hyperlipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals were calculated for body mass index (BMI), waist to hip ratio (WHR), waist to height ratio (WHtR), waist circumference (WC) and conicity index (C index).Results AUC of cardiovascular risk factors was the highest for WHtR (0.677 [0.672-0.683] among men; 0.691 [0.687-0.694] among women), and the lowest for the C index (0.616 [0.611-0.622] among men; 0.645 [0.641-0.649] among women) among both men and women. The optimal cutoff values were 24.3kg/m 2 for BMI, 0.887 for WHR, 0.499 for WHtR, 84.4cm for WC and 1.20m 3/2 /kg 1/2 for the C index among men, compared with 23.4kg/m 2 for BMI, 0.832 for WHR, 0.496 for WHtR, 77.0 cm for WC and 1.18m 3/2 /kg 1/2 for the C index among women.Conclusion Obesity indices can be considered a plausible discriminator of metabolic risks.

scholarly journals What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios

2020 ◽  
Vol 10 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Helda Tutunchi ◽  
Mehrangiz Ebrahimi-Mameghani ◽  
Alireza Ostadrahimi ◽  
Mohammad Asghari-Jafarabadi
Keyword(s):  
Waist Circumference ◽  
Roc Curve ◽  
Predictive Ability ◽  
Diagnostic Value ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Roc Curve Analysis ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Anthropometric Indicators

Background: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight and obesity. We also aimed to compare the predictive ability of these indices to introduce the best choice. Methods: In this cross-sectional study, a total of 500 subjects were investigated. Anthropometric indicators were measured using a standard protocol. We considered body mass index (BMI) as the simple and most commonly used index for measuring general obesity as the comparison indicator in the present study to assess the diagnostic value for other reported obesity indices.We also performed receiver operating characteristic (ROC) curve analysis to define the optimal cut-off points of the anthropometric indicators and the best indices for overweight and obesity. Results: The proposed optimal cut-offs for WC, WHtR, and WHR were 84 cm, 0.48 and 0.78for women and 98 cm, 0.56 and 0.87 for men, respectively. The area under the ROC curve ofWHtR (women: AUC=0.97, 95% CI: 0.96-0.99 vs. men: AUC=0.97, 95%CI: 0.96-0.99) and WC(women: AUC=0.97, 95% CI, 0.95-0.99 vs. men: AUC=0.98, 95% CI: 0.97-0.99) were greater than WHR (women: AUC=0.79, 95% CI =0.74-0.85 vs. men: AUC=0.84, 95% CI=0.79-0.88). Conclusion: This study demonstrated that the WC and WHtR indicators are stronger indicators compared to the others. However, further studies using desirable and also local cutoffs against more accurate techniques for body fat measurement such as computerized tumor (CT) scans and dual-energy x-ray absorptiometry (DEXA) are required.

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