20 resultados para Antropometria


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A obesidade é uma epidemia global em alarmante ascensão. Caracterizada pelo excesso de gordura corporal subcutânea, de caráter multifatorial, está relacionada ao surgimento de diversas co-morbidades, entre elas, várias alterações respiratórias, estas se tornam mais intensas quanto maior o grau de obesidade. Não há consenso na relação entre os marcadores de adiposidade geral ou específicos e suas repercussões sobre a função ventilatória, especialmente em relação à sobrecarga muscular respiratória. Objetivo: Analisar a relação entre marcadores antropométricos e variáveis espirométricas e de força muscular respiratória em indivíduos com obesidade mórbida. Métodos: Estudo transversal entre setembro de 2007 e outubro de 2012. Participaram da pesquisa 163 obesos mórbidos (37.1±9.8 anos e IMC=49.0±5.88 Kg/m2) sem alterações espirométricas. Foram observadas as associações entre Índice de Massa Corporal-IMC, adiposidade localizada (Circunferências de Pescoço-CP, Cintura-CC e Quadril-CQ), percentual de gordura corporal através do Índice de Adiposidade Corporal-IAC, volumes e capacidades pulmonares (CVF, VEF1 e VRE) e pressões respiratória estática (PIM e PEM) e dinâmica (VVM). Resultados: O VRE foi o volume mais afetado pela obesidade (apenas 41%predito) e mostrou associação negativa nas relações com todos os marcadores de adiposidade (IMC: r=-0.52; IAC: r=-0.21; CC: r=-0.44; CP: r=-0.25 e CQ: r=-0.28). Há relação inversa entre o percentual de gordura corporal (IAC) com a CVF (r=-0.59), o VEF1(r=-0.56) e o VVM (r=-0.43). As pressões respiratórias são justificadas principalmente pela adiposidade ao redor do pescoço e o IAC. Nossos dados de força muscular respiratória foram melhores associados aos valores de referências sugeridos pelas equações de Harik-Klan et al (1998) para PIM (R²=0.72) e com a equação proposta por Neder et al (1999) para PEM (R²=0.52). Em um modelo de regressão linear, as variáveis de adiposidade não justificam a VVM, já o VEF1 explica 62% da variância da VVM em obesos mórbidos. Conclusão: O percentual da adiposidade corporal e a circunferência do pescoço estão associados com a força muscular e capacidade de gerar fluxo respiratório de obesos mórbidos. Sugerimos a equação elaborada por Harik-Klan et al (1998) para obtenção de valores preditos de PIM e a equação proposta por Neder et al (1999) para valores de normalidade da PEM em sujeitos com obesidade mórbida. Foi possível fornecer uma equação de referência específica para VVM em obesos mórbidos

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Introduction: Obesity shows changes in pulmonary function and respiratory mechanics, however, little is known regarding the prevalence of worsening respiratory function when considering the increase in central or peripheral adiposity or general obesity. Objectives: To analyze the association between anthropometric adiposity and decreased lung function in obese. Materials and Methods: Patients eligible for this study obese individuals (IMC≥30kg/m2) in pre-bariatric surgery and referred for Treatment Clinic of Obesity and Related Diseases, located at the University Hospital Onofre Lopes (HUOL), from October 2005 and July 2014. The evaluation included clinical information and measurement of anthropometric measures (body mass index (BMI), body fat index (BFI) and waist circumference (WC) and neck (NC)) and spirometric. The prevalence and analysis by Poisson regression was performed considering the following outcome variables: forced vital capacity (FVC), forced expiratory volume in one second (FEV1) and Maximum Voluntary Ventilation (MVV) and as predictor variables were considered: BMI, IAC, WC and NC and as control variables: age, gender, smoking history and comorbidities (diabetes mellitus, dyslipidemia and hypertension). Statistical analysis was performed using Statistical Package for Social Sciences software (SPSS - version 20.0). Results: We analyzed 384 individuals, 75% women, mean BMI: 46.6 (± 8.7) kg/m2, IAC: 49.26 (± 9.48)%, WC: 130.84 (± 16.23) cm and NC: 42.3 (± 4.6) cm. The higher prevalence of FVC and FEV1 <80% was observed in individuals with NC above 42 cm, followed those with a BMI above 45 kg/m2. Multivariate analysis using Poisson regression showed as risk factors associated with FVC <80%, the variables: NC above 42 cm (odds ratio (OR) 2.41) and BMI over 45Kg/m2 (OR 1.71 ). As for FEV1 <80% predicted, all predictor variables were associated, with the largest odds presented by the NC (3.40). MVVV was not associated with any studied varaible. Conclusion: Individuals with NC above 42 cm had higher prevalence of reduced lung function and the NC was the measure with the highest association with reduced lung function in obese.

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Background: Zinc is an essential nutrient that is required for numerous metabolic functions, and zinc deficiency results in growth retardation, cellmediated immune dysfunction, and cognitive impairment. Objective: This study evaluated nutritional assessment methods for zinc supplementation in prepubertal nonzinc- deficient children. Design: We performed a randomised, controlled, triple-blind study. The children were divided into a control group (10% sorbitol, n = 31) and an experimental group (10 mg Zn/day, n = 31) for 3 months. Anthropometric and dietary assessments as well as bioelectrical measurements were performed in all children. Results: Our study showed (1) an increased body mass index for age and an increased phase angle in the experimental group; (2) a positive correlation between nutritional assessment parameters in both groups; (3) increased soft tissue, and mainly fat-free mass, in the body composition of the experimental group, as determined using bioelectrical impedance vector analysis; (4) increased consumption of all nutrients, including zinc, in the experimental group; and (5) an increased serum zinc concentration in both groups (p < 0.0001). Conclusions: Given that a reference for body composition analysis does not exist for intervention studies, longitudinal studies are needed to investigate vector migration during zinc supplementation. These results reinforce the importance of employing multiple techniques to assess the nutritional status of populations.

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Background: Zinc is an essential nutrient that is required for numerous metabolic functions, and zinc deficiency results in growth retardation, cellmediated immune dysfunction, and cognitive impairment. Objective: This study evaluated nutritional assessment methods for zinc supplementation in prepubertal nonzinc- deficient children. Design: We performed a randomised, controlled, triple-blind study. The children were divided into a control group (10% sorbitol, n = 31) and an experimental group (10 mg Zn/day, n = 31) for 3 months. Anthropometric and dietary assessments as well as bioelectrical measurements were performed in all children. Results: Our study showed (1) an increased body mass index for age and an increased phase angle in the experimental group; (2) a positive correlation between nutritional assessment parameters in both groups; (3) increased soft tissue, and mainly fat-free mass, in the body composition of the experimental group, as determined using bioelectrical impedance vector analysis; (4) increased consumption of all nutrients, including zinc, in the experimental group; and (5) an increased serum zinc concentration in both groups (p < 0.0001). Conclusions: Given that a reference for body composition analysis does not exist for intervention studies, longitudinal studies are needed to investigate vector migration during zinc supplementation. These results reinforce the importance of employing multiple techniques to assess the nutritional status of populations.

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Fundamento: A obesidade abdominal apresenta elevada prevalência em mulheres com síndrome dos ovários policísticos (SOP) e está associada a um aumento do risco cardiovascular. Objetivo: Verificar a acurácia da circunferência da cintura (CC), da relação cintura-quadril (RCQ), da relação cinturaestatura (RCEST) e do índice de conicidade (índice C), no que se refere à detecção de fatores de risco cardiovascular (FRCV) em mulheres com SOP. Métodos: Por meio de estudo transversal, foram alocadas 102 mulheres (26,5 ± 5 anos) com diagnóstico de SOP, de acordo com o consenso de Rotterdam. O colesterol total (CT), os triglicerídeos (TG), o LDL-colesterol (LDL-C), o HDLcolesterol (HDL-C), a glicemia de jejum, a glicemia após teste oral de tolerância à glicose (TOTG) e a pressão arterial (PA) foram avaliados em todas as pacientes, além das variáveis antropométricas. Resultados: A relação cintura-estatura foi o marcador que apresentou correlações positivas significativas com o maior número de FRCV (PA, TG e glicemia após TOTG), destacando-se ainda a correlação negativa com HDL-C. Todos os marcadores antropométricos avaliados se correlacionaram positivamente com PA, enquanto CC e RCQ apresentaram correlação positiva também com TG. No tocante à acurácia para detecção de FRCV, os indicadores antropométricos considerados apresentaram taxas de sensibilidade superiores a 60%, com destaque para a RCEST, que apresentou sensibilidade superior a 70%. Conclusão: A RCEST demonstrou ser o indicador antropométrico com a melhor acurácia para a predição de FRCV. Nesse sentido, propõe-se a inclusão desse parâmetro de fácil mensuração na avaliação clínica para o rastreamento de mulheres com SOP e FRCV----------------------ABSTRACT Background: Women with polycystic ovary syndrome (PCOS) present a high prevalence of abdominal obesity, which is associated with an increased cardiovascular risk. Objective: To verify the accuracy of the waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and the conicity index (CI) in the detection of cardiovascular risk factors (CVRF) in women with PCOS. Methods: The present transversal study allocated 102 women (26.5 ± 5 years) with a diagnosis of PCOS, according to the Rotterdam criteria. Total cholesterol (TC), triglycerides (TG), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), fasting glucose, glucose after the oral glucose tolerance test (OGTT) and blood pressure (BP) were evaluated in all patients, in addition to the anthropometric variables. Results: The WHtR was the marker that presented significant positive correlations with the highest number of CVRF (BP, TG and post-OGTT glucose), whereas there was a negative correlation with HDL-C. All the evaluated anthropometric markers were positively correlated with BP, whereas WC and WHR also presented a positive correlation with TG. Regarding the accuracy for the detection of CVRF, the anthropometric markers presented a sensibility > 60%, especially the WHtR, which had a sensibility > 70%. Conclusion: The WHtR showed to be the most accurate anthropometric indicator for the prediction of CVRF. In this sense, we propose the inclusion of this easily-measured parameter in the clinical assessment for the screening of women with PCOS and CVRF