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Diagnostic property of anthropometric indicators in the prediction of high body fat estimated by DXA in hypertensive women / Propriedade diagnostica dos indicadores antropométricos na predição do excesso de gordura corporal estimado por meio do DXA em mulheres hipertensas
Tomicki, Camila; Gerage, Aline Mendes; Ritti-Dias, Raphael Mendes; Silva, Diego Augusto Santos; Benedetti, Tânia Rosane Bertoldo.
  • Tomicki, Camila; Federal University of Santa Catarina. Florianópolis. BR
  • Gerage, Aline Mendes; Federal University of Santa Catarina. Florianópolis. BR
  • Ritti-Dias, Raphael Mendes; Albert Einstein Institute for Teaching and Research. São Paulo. BR
  • Silva, Diego Augusto Santos; Federal University of Santa Catarina. Florianópolis. BR
  • Benedetti, Tânia Rosane Bertoldo; Federal University of Santa Catarina. Florianópolis. BR
Rev. bras. cineantropom. desempenho hum ; 19(3): 299-308, May-June 2017. tab, graf
Article in English | LILACS | ID: biblio-897839
ABSTRACT
Abstract Excess body fat is an important risk factor for the development of arterial hypertension. he 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, significant differences were observed in BMI, WC and WHR (P <0.05). In relation to the percentage of trunk fat, a difference was identified 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 cutoff 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.
RESUMO
Resumo O excesso de gordura corporal é importante fator de risco para o desenvolvimento e agravamento da hipertensão arterial. Objetivou-se verificar o desempenho diagnóstico dos indicadores antropométricos na predição de excesso de gordura corporal estimado por meio do absortometria radiológica de dupla energia (DXA) em mulheres hipertensas. Realizou-se estudo transversal com 71 mulheres hipertensas (57,9 ± 10,1 anos; 77,8 ± 15,1 kg; 156,8 ± 5,2 cm). Os indicadores antropométricos analisados foram Índice de Massa Corporal (IMC), Circunferência da Cintura (CC), Relação Cintura-Quadril (RCQ), Relação Cintura-Estatura (RCEst) e Índice de Conicidade (IC). A gordura corporal mensurada por meio da DXA foi utilizada como método de referência. Utilizou-se estatística descritiva e curva ROC para a análise dos dados. Comparando os indicadores antropométricos com o percentual de gordura total estimado pelo DXA, observou-se diferenças significativas no IMC, na CC e na RCEst (P < 0,05). Em relação ao percentual de gordura de tronco, identificou-se diferença no IMC e na CC (P < 0,05). Dos indicadores antropométricos estudados, o IMC (0,83), a CC (0,79) e a RCEst (0,80) tiveram as maiores áreas sob a curva ROC quando comparados a RCQ (0,50) e ao IC (0,55). Os pontos de corte se mostraram conservadores em relação àqueles sugeridos pela literatura. Os indicadores antropométricos IMC (24,72 kg/m2), CC (87,81 cm) e RCEst (0,55) podem ser adotados na avaliação do excesso de gordura corporal em mulheres hipertensas, uma vez que demonstraram ser bons preditores quando confrontados com DXA.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Body Fat Distribution Type of study: Diagnostic study / Observational study / Prevalence study / Prognostic study / Risk factors Limits: Female / Humans Language: English Journal: Rev. bras. cineantropom. desempenho hum Journal subject: Physical Education / Sports Medicine / MEDICINA FISICA E REABILITACAO Year: 2017 Type: Article Affiliation country: Brazil Institution/Affiliation country: Albert Einstein Institute for Teaching and Research/BR / Federal University of Santa Catarina/BR

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Full text: Available Index: LILACS (Americas) Main subject: Body Fat Distribution Type of study: Diagnostic study / Observational study / Prevalence study / Prognostic study / Risk factors Limits: Female / Humans Language: English Journal: Rev. bras. cineantropom. desempenho hum Journal subject: Physical Education / Sports Medicine / MEDICINA FISICA E REABILITACAO Year: 2017 Type: Article Affiliation country: Brazil Institution/Affiliation country: Albert Einstein Institute for Teaching and Research/BR / Federal University of Santa Catarina/BR