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

Author(s):  
Kethrin Maila Weiss ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis ◽  
Andreia Pelegrini

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.

2018 ◽  
Vol 31 (1) ◽  
pp. 35-47
Author(s):  
Mara Lima DE CNOP ◽  
Luana Silva MONTEIRO ◽  
Paulo Rogério Melo RODRIGUES ◽  
Camilla Chermont Prochnik ESTIMA ◽  
Gloria Valeria da VEIGA ◽  
...  

ABSTRACT Objective To describe meal consumption habits and assess their associations with anthropometric indicators. Methods A cross-sectional study was performed on 1,749 elementary and high school students from public and private schools in the city of Rio de Janeiro, Brazil (mean age=15.3 years), who were selected for the baseline of the Longitudinal Study for Nutritional Assessment of Adolescents. Meal habits and meals consumed in the company of parents were assessed using a self-administered questionnaire. The consumption of the main meals was categorized as regular (daily) or irregular (≤6 times a week). The meal consumption profile was considered either satisfactory (breakfast, lunch, and dinner consumed on a daily basis) or unsatisfactory. Body Mass Index, waist-to-height ratio, and body fat percentage were calculated. The association between meal consumption habits and anthropometric indicators was estimated using multivariate logistic regression models, adjusted for age and sex and stratified according to the type of school. Results Regular lunch consumption was more frequent among private schools students, who also had higher frequency of eating dinner irregularly. Among students from private schools, the unsatisfactory meal consumption profile and irregular meal habits were associated with being overweight, having a high waist-to-height ratio, and increased body fat percentage. Among students from public schools, it was observed association between being overweight with irregular breakfast habits. Conclusion In adolescents, the association between meal habits and weight status may be modulated by socioeconomic condition.


Author(s):  
Camila Tomicki ◽  
Aline Mendes Gerage ◽  
Raphael Mendes Ritti-Dias ◽  
Diego Augusto Santos Silva ◽  
Tânia Rosane Bertoldo Benedetti

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.


2017 ◽  
Vol 27 (3) ◽  
pp. 27527 ◽  
Author(s):  
Bruna Merten Padilha ◽  
Alcides Da Silva Diniz ◽  
Haroldo Da Silva Ferreira ◽  
Marília Tokiko Oliveira Tomiya ◽  
Poliana Coelho Cabral

***Anthropometric predictors of hypertension in afro-descendant women***AIMS: To determine the association between anthropometric parameters and systemic arterial hypertension and to identify the best anthropometrics predictors of this disease in afro-descendant women from remaining quilombo communities.METHODS: A cross-sectional study was conducted with quilombola women from Alagoas State. Blood pressure, anthropometric parameters (body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, conicity index, body fat), sociodemographic variables, smoking and parity were investigated. The associations between anthropometric parameters and systemic arterial hypertension were investigated using Poisson regression with robust variance adjustment. The ability of these parameters to predict the presence of systemic arterial hypertension was analyzed using Receiver Operating Characteristic (ROC) curves.RESULTS: A total of 1,553 women, aged between 20 and 59 years, were evaluated. The prevalence of systemic arterial hypertension was 35.8% and that of overweight was 48.5%. The presence of systemic arterial hypertension was associated with body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, and body fat, even after adjusting for age, socioeconomic class, and smoking status. From the ROC curves, the following cutoff points were found: body mass index ≥26.2 kg/m², waist circumference ≥81.6 cm, waist-to-hip ratio ≥0.84, waist-to-height ratio ≥0.54, conicity index ≥1.20 and body fat ≥35.4%. Body fat, waist-to-hip ratio and waist-to-waist ratio were equally able to predict systemic arterial hypertension.CONCLUSIONS: All indicators of global obesity and those of central obesity, except for the conicity index, were associated with systemic arterial hypertension in this sample of Afro-descendant quilombola women. Percentage of body fat, waist-to-hip ratio and waist-to-height ratio were the best anthropometric predictors of systemic arterial hypertension. These measures had equal, albeit low, discriminatory power for the presence of systemic arterial hypertension in this population.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 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 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.


2019 ◽  
Vol 75 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Zhi-pei Huang ◽  
Bi-xia Huang ◽  
Hui Zhang ◽  
Ming-fan Zhu ◽  
Hui-lian Zhu

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.


2022 ◽  
Vol 40 ◽  
Author(s):  
Mateus Augusto Bim ◽  
André de Araújo Pinto ◽  
Gaia Salvador Claumann ◽  
Andreia Pelegrini

ABSTRACT Objective: To verify the prevalence of abdominal obesity with the waist-to-height ratio (WHtR) and associated factors in adolescents from a city in Southern Brazil. Methods: A total of 960 adolescents (494 boys) aged 15–18 years old participated in this study. The dependent variable was WHtR; independent variables were self-reported age, economic level, sexual maturation, physical activity level, screen time, and body fat. Data were analyzed using descriptive statistics and logistic regression. Results: It was observed that 36.7% of the adolescents presented high WHtR (50.2% in girls and 23.9% in boys). Regardless of sex, adolescents with high body fat were more likely of having high WHtR (boys: Odds Ratio [OR] 29.79; 95% confidence interval [95%CI] 16.87–52.62; girls: OR 19.43; 95%CI 10.51–35.94). In girls, high WHtR was associated with age (OR 1.83; 95%CI 1.17–2.87), and in boys, with economic level (OR 2.34; 95%CI 1.01–5.45). Conclusions: One in each three adolescents has abdominal obesity. Among adolescents with high body fat, girls aged 15–16 and boys with high-income are the groups most exposed to abdominal obesity.


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