182 resultados para Waist Circumference
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objective: The impact of obesity on ventricular remodeling after myocardial infarction (MI) is still poorly understood. Therefore, the aim of this study was to evaluate the role of waist circumference (WC) and body mass index as predictors of cardiac remodeling in patients after an anterior MI. Methods: Eighty-three consecutive patients with anterior MI were prospectively evaluated. Clinical characteristics and echocardiographic data were analyzed at admission and at a 6-mo follow-up. Ventricular remodeling was defined as a 10% increase in left ventricular end-systolic or end-diastolic diameter at the 6-mo follow-up. Results: In our study, 83 consecutive patients were evaluated (72% men). Ventricular remodeling was present in 31% of the patients (77% men). Patients with remodeling had higher creatine phosphokinase and creatine phosphokinase-MB peak values, a higher resting heart rate, a larger left atrial diameter, and a larger interventricular septum diastolic thickness. In addition, patients with remodeling had lower peak velocity of early ventricular filling deceleration time and ejection fraction. Patients with remodeling presented higher WC values (with remodeling, 99.2 ± 10.4 cm; without remodeling, 93.9 ± 10.8 cm, P = 0.04), but there were no differences in the body mass index values. In the logistic regression analysis, WC, adjusted by age, gender, ejection fraction, and creatine phosphokinase levels, was an independent predictor of left ventricular remodeling (odds ratio 1.067, 95% confidence interval 1.001-1.129, P = 0.02). Conclusion: Waist circumference, but not body mass index, is a predictor of ventricular remodeling after an anterior MI. Therefore, the WC of these patients should be measured in clinical practice. © 2013 Elsevier Inc.
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Background: To evaluate waist circumference (WC) measured at 20-24 weeks of gestation as a predictor of gestational diabetes mellitus (GDM).Methods: This cross-sectional study included 240 women at 20-24 weeks of gestation. At enrollment, WC was measured, and both prepregnancy and gestational body mass index (BMI) were estimated. According to the results of 75-g oral glucose tolerance test (OGTT) performed at 24-28 weeks, subjects were allocated into two groups, non-GDM and GDM. WC sensitivity and specificity, and odds ratios (OR) and 95% confidence intervals for BMI and WC were estimated, and a receiver operating characteristics curve was generated.Results: Of the 240 pregnant women enrolled, 31 (13%) had GDM. Prepregnancy BMI (OR = 4.21), gestational BMI (OR = 3.17) and WC at 20-24 weeks (OR = 4.02) correlated with GDM risk. At 20-24 weeks, a WC of 85.5-88.5 cm was the optimal cutoff point for predicting GDM (Sens/Spec balance between 87.1/41.1% and 77.4/56.9%).Conclusion: At 20-24 weeks of gestation, WC values in the range of 86-88 cm showed to be a good performance in predicting GDM.
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ObjectiveFindings on weight training and waist circumference (WC) change are controversial. This study examined prospectively whether weight training, moderate to vigorous aerobic activity (MVAA), and replacement of one activity for another were associated with favorable changes in WC and body weight (BW).MethodsPhysical activity, WC, and BW were reported in 1996 and 2008 in a cohort of 10,500 healthy U.S. men in the Health Professionals Follow-up Study. Multiple linear regression models (partition/substitution) to assess these associations were used.ResultsAfter adjusting for potential confounders, a significant inverse dose-response relationship between weight training and WC change (P-trend<0.001) was observed. Less age-associated WC increase was seen with a 20-min/day activity increase; this benefit was significantly stronger for weight training (-0.67 cm, 95% CI -0.93, -0.41) than for MVAA (-0.33 cm, 95% CI -0.40, -0.27), other activities (-0.16 cm, 95% CI -0.28, -0.03), or TV watching (0.08 cm, 95% CI 0.05, 0.12). Substituting 20 min/day of weight training for any other discretionary activity had the strongest inverse association with WC change. MVAA had the strongest inverse association with BW change (-0.23 kg, 95% CI -0.29, -0.17).ConclusionsAmong various activities, weight training had the strongest association with less WC increase. Studies on frequency/volume of weight training and WC change are warranted.
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OBJETIVO: O objetivo do presente estudo foi analisar a eficiência de diferentes equações antropométricas para a identificação de excesso de gordura corporal entre crianças e adolescentes. MÉTODOS: A amostra foi composta por 1.498 indivíduos (678 meninos e 820 meninas), com idade entre 7 e 17 anos (M=13,7, DP=2,0), da cidade de Presidente Prudente (SP). A massa corporal e a estatura foram mensuradas para o cálculo do Índice de Massa Corporal. Também foi realizada a mensuração da circunferência de cintura e das dobras cutâneas subescapular, tricipital, abdominal e da panturrilha. O percentual de gordura corporal foi calculado por meio de quatro equações: Slaughter et al., Slaughter II et al., Dezenberg et al., e Deurenberg et al.. Para indicar a eficiência das diferentes equações antropométricas na indicação da obesidade, foi utilizada a análise da curva Receiver Operating Characteristic Curve. RESULTADOS: No grupo masculino, foram observados valores de sensibilidade elevados (82,4% a 100,0%) e valores oscilando de baixo a alto, para a especificidade (20,9% a 94,9%). Para o sexo feminino, os valores de sensibilidade variaram entre moderado e alto (72,2% a 99,4%); e os de especificidade apresentaram, também, grande oscilação entre baixo e alto (21,6% a 98,2%). CONCLSÃO: A equação proposta por Deurenberg et al., apresentou o melhor desempenho no diagnóstico tanto da presença como da ausência de obesidade na amostra investigada.
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To analyze influences of the physical activity and sedentary behaviors on indicators of both central and total body fat in male adolescents. Cross-sectional study with 60 male students of age range from 11 to 14 years old. It were evaluated the body mass, height, triceps skinfold, waist circumference, body fat percentage (bioelectrical impedance) and the physical activity level through questionnaire. The physical inactivity prevalence was of 35%, and the excessive total and central body fat were observed in 38.3% and 48.3% of the sample, respectively. There was association of the sedentary behaviors with the excessive total and central body fat (OR = 5.2 e OR = 6.4, respectively), however there was not for physical activity. The adoption of sedentary behaviors is associated at the development of the total and central obesity among male adolescents.
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Objectives: To analyze different physical activities domains in healthy adults and correlate with cardiovascular risk factors. Methods: The sample was composed by 32 Physical Education undergraduate students, with mean age of 22.6 years old. Adiposity was assessed by waist circumference (WC), body mass index (BMI) and bioelectrical impedance. Additionally, fast glucose (10-12 hours), systolic (SBP) and diastolic (DBP) blood pressure were assessed. Physical activity level was assessed by questionnaire (Baecke et al., 1982). Results: sports activities and leisure time were not related with cardiovascular risk factors. However, job activities were negatively related with %BF, SBP and DBP. Conclusion: Different physical activity domains should be considered when analyzing its associations with health indicators.
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Objetivos Neste estudo foi investigado o efeito do consumo habitual de suco de laranja no perfil dos lípides e lipoproteínas em homens e mulheres normolipidêmicos. Métodos Todos os voluntários (n=29) consumiram 750mL/dia de suco de laranja durante 60 dias. Variáveis bioquímicas como perfil lipídico, apolipoproteínas, glicose, paraoxonase1 e o tamanho de HDL foram medidas antes e após o período de suplementação com suco de laranja. Também foram realizadas medidas antropométricas e inquéritos dietéticos. Resultados O consumo crônico de suco de laranja reduziu significativamente o colesterol total nos homens (11%, p<0,05) e nas mulheres (10%, p<0,05) e o LDL-C nos homens e mulheres (15%, p<0,05). O HDL-C e a apoA-I também diminuíram, refletindo a redução do colesterol total. Os triacilgliceróis, apo B, PON1, tamanho da HDL, IMC, gordura corporal e circunferência abdominal não foram modificados com o tratamento com suco de laranja. Conclusão Neste estudo, mostrou-se que o suco de laranja apresenta propriedade redutora sobre o colesterol, e foi sugerido que a associação dos flavonóides cítricos com a vitamina C previne o estresse oxidativo e o desenvolvimento da aterosclerose.
Fatores de risco para síndrome metabólica em cadeirantes: jogadores de basquetebol e não praticantes
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A atividade física tem sido sistematicamente estudada como fator preventivo no acometimento de enfermidades crônico-degenerativas, especialmente a síndrome metabólica e doenças cardiovasculares. Sedentarismo está relacionado à diminuição ou ausência de parâmetros mínimos de exigência física diária além do estado de repouso, sendo este fortemente associado à redução na condição de saúde dos indivíduos portadores de deficiência física. As respostas metabólicas do organismo mediante a ausência de determinada musculatura, ou sua inatividade pela falta de estímulos, conduzem a diferenças significativas na estruturação da composição corporal. Esta pesquisa teve como objeto o exercício físico regular e a condição de saúde de indivíduos portadores de deficiência física, através da determinação do perfil antropométrico e bioquímico sangüíneo, e ainda pela determinação da prevalência de fatores de risco para síndrome metabólica. Foram estudados 27 homens com paraplegia (T2-L1), portadores de seqüelas de poliomielite ou amputados, divididos em jogadores de basquetebol cadeirantes (JBC) e não jogadores de basquetebol cadeirantes (NJBC). Os JBC apresentaram circunferência de cintura menor comparada aos NJBC, 76,40±8,44 e 89,25±9,73 cm respectivamente (p<0,05). A pressão arterial sistólica foi significativamente maior nos NJBC 123,33±13,70 e 114,00±9,85 mmHg para JBC (p<0,05), não sendo verificada diferença para PAD. Os NJBC apresentaram valores superiores aos JBC para a bioquímica sangüínea de glicemia, TG, CT e frações, exceto para HDL-C (p<0,05). Os indivíduos NJBC apresentaram alta prevalência para fatores de risco da SM, sendo hipertensão arterial prevalente em 58,33% dos indivíduos, dislipidemia de HDL-C presente em 50% e circunferência de cintura acima da normalidade em 41,66%. Os achados do presente estudo sugerem um papel importante do exercício físico na prevenção da síndrome metabólica, embora estudos adicionais devam ser realizados para a melhor compreensão dos mecanismos que promovem a saúde dos deficientes físicos ativos.
Different nutritional-state indicators of HIV-positive individuals undergoing antiretroviral therapy
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This study aimed at learning about the nutritional profile of HIV-positive individuals undergoing antiretroviral therapy and at comparing the performance of nutritional-state indicators. A transversal study was performed on 94 patients attending the Tropical Diseases Outpatient Hospital of Botucatu Medical School (FMB)-UNESP. The body mass index (BMI) and the classification by Papini-Berto (PB) were used to evaluate nutritional state, aiming at detecting malnutrition and obesity. The waist-to-hips ratio (W/HR) and waist circumference (WC) were adopted for identification of abdominal obesity and lipodystrophy. According to BMI, most of the individuals were eutrophic, followed by 30.9% overweight and 6.4% malnourished. By using the PB classification, the frequency of malnourished increased (22.3%). The analysis of the PB classification in relation to BMI indicated that the former presented high sensitivity and good specificity for malnutrition diagnosis, namely 100% and 83%, respectively. The prevalence of abdominal obesity was 7.44% according to WC, and a higher prevalence (38.3%) was observed when taking W/HR into account. There was significant positive association between nutritional diagnosis according to PB and T CD4(+) lymphocyte. The results support the use of PB classification for malnutrition detection as well as that of BMI and W/HR for overweight and fat redistribution.
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OBJETIVO: avaliar a influência dos indicadores antropométricos sobre os marcadores de risco cardiovascular e metabólico para doenças crônicas não-transmissíveis em mulheres na pós-menopausa. MÉTODOS: realizou-se estudo clínico transversal, com 120 mulheres sedentárias na pós-menopausa (com idades entre 45 e 70 anos e última menstruação há, pelo menos, 12 meses). Foram excluídas as diabéticas insulino-dependentes e usuárias de estatinas ou terapia hormonal até seis meses prévios. Para avaliação antropométrica, foram obtidos peso, estatura, índice de massa corpórea (IMC=peso/altura²) e circunferência da cintura (CC). As variáveis metabólicas avaliadas foram colesterol total (CT), HDL, LDL, triglicérides (TG), glicemia e insulina, para os cálculos do índice aterogênico plasmático (IAP) e resistência insulínica (Homeostasis model assessment-insulin resistance, HOMA-IR). Na análise estatística, utilizara-se análise de variância one-way (ANOVA) e Odds Ratio (OR). RESULTADOS: os dados médios caracterizaram amostra com sobrepeso, com obesidade central e dislipidêmica. Sobrepeso e obesidade estiveram presentes em 77,1% e deposição central de gordura ocorreu em 87,3% das participantes. Os valores médios de CT, LDL e TG estavam acima do recomendável em 67,8, 55,9 e 45,8% das mulheres, respectivamente, com HDL abaixo dos valores adequados em 40,7%. Valores de CC >88 cm ocorreram em 14,8% das mulheres eutróficas, 62,5% no grupo com sobrepeso e 100% nas obesas (p>0,05). Os valores médios de IAP, TG e HOMA-IR aumentaram significativamente com o aumento do IMC e da CC, enquanto que o HDL diminuiu (p<0,05). Na presença da CC >88 cm, encontrou-se risco de 5,8 (IC95%=2,3-14,8), 2,61 (IC95%=1,2-5,78), 3,4 (IC95%=1,2-9,7) e 3,6 (IC95%=1,3-10,3) para HDL reduzido, hipertrigliceridemia, IAP elevado e resistência a insulina, respectivamente (p<0,05). O IMC >30 kg/m² associou-se apenas com HDL reduzido (OR=3,1; IC95%=1,44-6,85). CONCLUSÕES: a associação de duas medidas antropométricas (CC e IMC) foi eficiente para adequado diagnóstico de obesidade relacionada a alterações metabólicas em mulheres na pós-menopausa. Contudo, a simples avaliação da CC pode ser indicativo do risco cardiovascular e metabólico das doenças crônicas não transmissíveis.
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Background: Since human diets contain many components that may work synergistically to prevent or promote disease, assessing diet quality may be informative. The purpose of this study was to investigate the association between quality diet, by using Healthy Eating Index (HEI), and metabolic risk indicators in postmenopausal women.Methods: This cross-sectional study included a total of 173 Brazilian women, aged 45-75 years, seeking healthcare at a public outpatient center. Food consumption assessed by 24 h-recall food inquiry was used to calculate HEI scores: >80 implied diet good, 80-51 diet needed improvement, and <51 diet poor. Anthropometric data included: body mass index (BMI = weight/height(2)), waist-circumference (WC), body fat (%BF) and lean mass (%LM). Data on total cholesterol (TC), high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), and triglycerides (TG) were also collected. Fisher's Exact test, and logistic regression method (to determine odds ratio, OR) were used in the statistical analysis.Results: Overweight and obesity were observed in 75.7% of the participants. Excessive %BF (> 35%) was observed in 56.1%, while %LM was reduced (<70%) in 78.1%. WC was elevated (= 88 cm) in 72.3%. Based on HEI values, diet quality was good in 3% (5/173), needed improvement in 48.5% (84/173), and was poor in 48.5% (84/173) of the cases. In this group, 75% of women had high intakes of lipids (> 35%), predominantly saturated and monounsaturated fat. on average, plasma TC, LDLC, and TG levels were higher than recommended in 57.2%, 79.2% and 45.1% of the women, respectively, while HDLC was low in 50.8%. There was association between HEI scores and the %BF that it was higher among women with HEI score < 80 (p = 0.021). There were not observed significant risk associations between HEI and lipid profile.Conclusion: Among the Brazilian postmenopausal women attending a public outpatient clinic, diet was considered to need improvement or to be of poor quality, attributed to high saturated fat ingestion, which probably caused a negative impact on metabolic risk indicators, namely body composition.
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Objective. to evaluate anthropometric indicators of body fat and their association with metabolic risk markers in postmenopausal women.Methods. A cross-sectional study with 80 Brazilian women (40-70 years) was carried out. Body mass index (BMI = weight/height(2)), waist circumference (WC) and waist-to-hip ratio (WHR) were obtained for anthropometric evaluation. Trunk fat mass (TFM) was measured by dual-energy X-ray absorptiometry. The following metabolic variables were evaluated: total cholesterol (TC), HDL, LDL, triglycerides (TG), as well as glycemia and insulin to determine insulin resistance (HOMA-IR).Results. Overweight and obesity were observed in 81% of the women. Values of WC >88 cm were observed in 68.5% of the women. on average, TC, LDL and TG levels were above normal levels in 60, 50 and 42.5% of the women, respectively; and HDL was normal in 82.5%. IR was observed in 37.5% of the women. Positive correlations were found between anthropometric indicators and TFM (P < 0.05). WC was most correlated with TFM (r = 0.92), followed by BMI (r = 0.88) and by WHR (r = 0.48; P < 0.05). All anthropometric indicators and TFM showed significant negative correlations with HDL and significant positive correlations with HOMA-IR (P < 0.05). Only WHR was significantly associated with dysglycemia (R(2) = 12%), hypertriglyceridemia (R(2) = 17%) and decreased HDL (R(2) = 27%). WC was significantly associated with HOMA-IR (R(2) = 34%).Conclusion. WC and WHR are anthropometric measures that showed strong correlation with TFM and with metabolic risk markers in postmenopausal women.