951 resultados para International Diabetes Federation


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Embora haja consenso sobre a validade e facilidade do uso da antropometria na classificação da obesidade abdominal, ainda não existe consenso sobre a nomenclatura da medida e os sítios anatômicos para sua obtenção. Desta forma, o objetivo deste estudo foi analisar de forma crítica o uso da circunferência da cintura ou abdominal em adultos para aferição da obesidade abdominal. Foi realizada uma revisão sistemática a partir de busca em bases de dados indexadas MEDLINE (PubMed) e Scientific Eletronic Library Online (SciELO). Foram revisados artigos publicados no período compreendido entre 2003 e 2009. Quanto à nomenclatura, apesar dos National Institutes Health tratarem circunferência da cintura e abdominal como sinônimos, os pesquisadores internacionais, tem preferido o uso do termo circunferência da cintura. Quanto ao sítio anatômico para a medida, falta ainda consenso entre os pesquisadores e orientação da International Diabetes Federation (IDF). Considerando que os atuais pontos de corte para as populações de origem européia foram elaborados a partir dos sítios anatômicos estabelecidos pela OMS 1989, torna-se razoável a adoção desta referência. Sobre os pontos de corte, a proposta da IDF representa resultado de um consenso internacional e avalizado pela Sociedade Brasileira de Cardiologia.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Objective Metabolic syndrome (MetS) is highly prevalent in rheumatic diseases and is recognized as a new independent cardiovascular risk factor. This study was undertaken to determine the clinical significance of MetS in patients with primary antiphospholipid syndrome (APS). Methods Seventy-one primary APS patients and 73 age- and sex-matched healthy controls were included. Serum samples were tested for lipid profile, Lp(a), glucose, insulin, thyroid-stimulating hormone, free T4, erythrocyte sedimentation rate, C-reactive protein level, and uric acid. MetS was defined by the International Diabetes Federation criteria, and insulin resistance was established using the homeostasis model assessment index. Results The prevalence of MetS was 33.8%, and further comparison between primary APS patients with and without MetS revealed that the former had a higher frequency of arterial events (79.2% versus 42.6%; P = 0.003), angina (29.2% versus 2.1%; P = 0.002), and positive lupus anticoagulant antibody (95.8% versus 76.6%; P = 0.049). In addition, primary APS patients with MetS, as expected, had a higher prevalence of cardiovascular risk factors. On multivariate analysis, only MetS was independently associated with arterial events in primary APS. Conclusion Coexistence of primary APS and MetS seems to identify a subgroup of patients with higher risk of arterial events, suggesting that MetS may aggravate existing endothelial abnormalities of primary APS.

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Objective This study was undertaken to evaluate a possible association of adipocytokines with metabolic syndrome (MetS), inflammation and other cardiovascular risk factors in primary antiphospholipid syndrome (PAPS). Methods Fifty-six PAPS patients and 72 controls were included. Adiponectin, leptin, visfatin, resistin, plasminogen activator inhibitor-1 (PAI-1), lipoprotein (a), glucose, ESR, CRP, uric acid and lipid profiles were measured. The presence of MetS was determined as defined by the International Diabetes Federation (IDF), and insulin resistance was rated using the homeostasis model assessment (HOMA) index. Results Concentrations of leptin were higher [21.5 (12.9-45.7) ng/mL] in PAPS patients than in the controls ([2.1 (6.9-26.8) ng/mL), p=0.001]. In PAPS patients, leptin and PAI-1 levels were positively correlated with BMI (r=0.61 and 0.29), HOMA-IR (r=0.71 and 0.28) and CRP (r=0.32 and 0.36). Adiponectin levels were negatively correlated with BMI (r=-0.28), triglycerides (r=-0.43) and HOMA-IR (r=-0.36) and positively correlated with HDL-c (r=0.37) and anti-beta 2GPI IgG (r=0.31). The presence of MetS in PAPS patients was associated with higher levels of leptin (p=0.002) and PAI-1 (p=0.03) levels and lower levels of adiponectin (p=0.042). Variables that independently influenced the adiponectin concentration were the triglyceride levels (p<0.001), VLDL-c (P=0.002) and anti-beta 2GPI IgG (p=0.042); the leptin levels were BMI (p<0.001), glucose (p=0.046), HOMA-IR (p<0.001) and ESR (p=0.006); and the PAI-1 levels were CRP (p=0.013) and MetS (p=0.048). Conclusion This study provides evidence that adipocytokines may be involved in low-grade inflammation, insulin resistance and MetS in PAPS patients.

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Public health strategies to reduce cardiovascular morbidity and mortality should focus on global cardiometabolic risk reduction. The efficacy of lifestyle changes to prevent type 2 diabetes have been demonstrated, but low-cost interventions to reduce cardiometabolic risk in Latin-America have been rarely reported. Our group developed 2 programs to promote health of high-risk individuals attending a primary care center in Brazil. This study compared the effects of two 9-month lifestyle interventions, one based on medical consultations (traditional) and another with 13 multi-professional group sessions in addition to the medical consultations (intensive) on cardiometabolic parameters. Adults were eligible if they had pre-diabetes (according to the American Diabetes Association) and/or metabolic syndrome (International Diabetes Federation criteria for Latin-America). Data were expressed as means and standard deviations or percentages and compared between groups or testing visits. A p-value < 0.05 was considered significant. Results: 180 individuals agreed to participate (35.0% men, mean age 54.7 ± 12.3 years, 86.1% overweight or obese). 83 were allocated to the traditional and 97 to the intensive program. Both interventions reduced body mass index, waist circumference and tumor necrosis factor-α. Only intensive program reduced 2-hour plasma glucose and blood pressure and increased adiponectin values, but HDL-cholesterol increased only in the traditional. Also, responses to programs were better in intensive compared to traditional program in terms of blood pressure and adiponectin improvements. No new case of diabetes in intensive but 3 cases and one myocardial infarction in traditional program were detected. Both programs induced metabolic improvement in the short-term, but if better results in the intensive are due to higher awareness about risk and self-motivation deserves further investigation. In conclusion, these low-cost interventions are able to minimize cardiometabolic risk factors involved in the progression to type 2 diabetes and/or cardiovascular disease.

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Metabolic Syndrome (MetS) is associated with increased risk of morbi-mortality, thus the characterization of the population magnitude of this syndrome is critical for allocating health care. However, prevalence estimates of MetS in the same population could differ depending on the definition used. Therefore, we compared the prevalence of the MetS using definitions proposed by: National Cholesterol Education Panel Revised (NCEP) and International Diabetes Federation (IDF) 2009 in a Japanese-Brazilians community (131 individuals, age 57 ± 16 years, 1st and 2nd generation). All individuals went through a clinical and laboratorial evaluation for assessment of weigh, height, waist circumference, blood pressure, triglycerides, HDL-cholesterol and fasting plasma glucose. The prevalence of MetS was 26.7% (n = 35) and 37.4% (n = 49) under the NCEP and IDF definitions, respectively. Despite higher blood pressure measurements, waist circumference and serum triglyceride levels and lower HDL cholesterol levels (p < 0.01), individuals identified with MetS did not show increased blood glucose levels. IDF definition classified 14 individuals (10.7%) with MetS that were not classified under the NCEP and 35 individuals were identified with MetS by both criteria. We observed, in this group, more severe lipid disorders, compared to individuals identified only under the IDF definition, and the BMI and waist circumference (p = 0.01; p = 0.006, respectively) were lower. In conclusion, the IDF revised criteria, probably because of the ethnic specific values of waist circumference, was able to identify a larger number of individuals with MetS. However, our data suggesting that additional studies are necessary to define best MetS diagnostic criteria in this population.

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The constellation of adverse cardiovascular disease (CVD) and metabolic risk factors, including elevated abdominal obesity, blood pressure (BP), glucose, and triglycerides (TG) and lowered high-density lipoprotein-cholesterol (HDL-C), has been termed the metabolic syndrome (MetSyn) [1]. A number of different definitions have been developed by the World Health Organization (WHO) [2], the National Cholesterol Education Program Adult Treatment Panel III (ATP III) [3], the European Group for the Study of Insulin Resistance (EGIR) [4] and, most recently, the International Diabetes Federation (IDF) [5]. Since there is no universal definition of the Metabolic Syndrome, several authors have derived different risk scores to represent the clustering of its components [6-11].

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The diagnosis of nutritional status is extremely re levant in clinical practice and population assessment, due to the association betwe en body fat and metabolic alterations. The aim of this study is to analyze th e prevalence of metabolic syndrome (MS) and its components in the pubertal stages of f emale students in Rio Grande do Norte state, Brazil, in accordance with Internation al Diabetes Federation criteria. This is a cross-sectional study with 449 students aged betw een 8 and 19 years, stratified into pubertal stages systematized by Marshal and Tanner (1969), as follows: 27.6% prepubertal, 44.3% pubertal and 28.1% postpubertal, with mean ages of 9.4±1.27, 12.4±2.23 and 15.1±1.88 years, respectively. Preval ences were analyzed using distribution of frequencies and their respective 95 % confidence intervals, while the chi- square test and odds ratio were applied to analyze the associations between variables. The general prevalence of MS was 3.3% (CI: 2% - 5%) , without occurrences in the prepubertal stage, observing that it emerges from t he pubertal stage onwards with a prevalence of 2.5% (CI 95% 0.1% - 5%), 1% (CI 95% 0.4% - 2.3%) of cases with overweight and 1.5% (CI 95% -0.1% - 3.2%) with obes e individuals, while in the postpubertal stage the prevalence is 7.9% (CI 95% 3 .2% - 12.6%), 0.8% (CI 95% -0.8% - 2.3%) normal weight cases, 4% (CI 95% 0.6% - 7.4% ) overweight and 3.1% (CI 0.1% - 6.2%) obese individuals. There was an association (p<0.02) between pubertal stages and MS ( x 2 =5.2), with an OR of 3.3 (CI: 1.2 - 5), showing tha t postpubertal adolescents are more prone to SM than pubertals, while the OR i n obese individuals was 2.1 (CI: 2– 2.2) compared to the overweight. Body mass index (B MI) ( x 2 = 29.4; p<0.001) and age range ( x 2 = 13.1; p<0.001) showed a significant linear assoc iation with MS. Of the adolescents with MS, those aged ten years or younge r exhibited higher %G. The most prevalent components in all the stages were altered waist circumference (27.2% [CI 23% - 31%]) and low HDL cholesterol (39.6% [CI 35% – 44%]), which, coupled with hypertension, displayed significant differences in the postpubertal stage in relation to the other stages. The results show that MS emerges from the pubertal stage onwards in proportion to excess childhood body fat, a fact tha t calls for prevention strategies using an educational approach, reducing the large demand on the National Health System. Keywords: Metabolic syndrome, pubertal stages, risk factors.

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Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovascular risk. The accurate assessment of a child nutritional status using growth-curves can indicate individuals that are either obese or in risk of becoming obese, allowing an early intervention. Moreover, the association between the data obtained from growth-curves with specific metabolic risk factors further highlights the importance of these charts. This study aimed to evaluate the associations between body mass index z-score (BMIzsc), determined using the growth-curves from the Centre for Disease Control and Prevention (CDC) and from the World Health Organization (WHO), with cardiovascular risk factors, represented here by metabolic syndrome (MS) and insulin resistance (IR) related parameters. The study involved 246 obese adolescents (10-18 years, 122 females). MS was defined according to the International Diabetes Federation. IR was considered for HOMA-IR greater than 2.5.

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Chronic diseases, including diabetes, represent the most prevalent problem in healthcare today. They are the most common cause of disability and consume the largest part of health expenditures internationally. Most diabetes care is provided by people with diabetes and their family or supporters. Therefore, understanding how to enhance diabetes self-management is of primary importance in addressing this growing burden. The effective self-management of type 2 diabetes is closely linked to environmental factors and a person’s lifestyle. In this article, the authors describe the Flinders Chronic Condition Self-Management Program, which highlights the person’s perspective, and provide an example of its practical application in an Aboriginal population in South Australia.

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In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different operational definitions for these age groups and to examine the associated variables. A total of 673 children and 1,247 adolescents attending public schools in Bogota (54.4% girls; age range 9–17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the IDF, Cook et al., Ford et al., and de Ferranti et al. definitions, respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were abdominal obesity and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. In conclusion, MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity.

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Introducción: El tiempo promedio del efecto máximo de la insulina regular rápida en la glucemia postprandial ha sido considerado durante años de 120 minutos. En pacientes con Diabetes Mellitus (DM) que usan insulinas análogas este tiempo y los factores asociados no se encuentran reportados para ser aplicados en el automonitoreo. El objetivo de este estudio fue calcular el tiempo y factores relacionados al efecto máximo de la insulina en la glucemia postprandial. Metodología: Se desarrolló un estudio longitudinal retrospectivo a partir de una fuente secundaria donde se realizó un análisis descriptivo y bivariado con las variables demográficas y clínicas presentes en la población. Resultados: El tiempo promedio del pico máximo de insulina en pacientes con DM1 fue de 78.4 (DE± 16.512) y DM2 75.01(DE± 12.02) minutos. El 75% de la población con DM1 y el 54.2% en DM2 era de sexo femenino, la edad promedio en DM1 era 42.38 años y en DM2 68 años, en cuanto a la categorización del IMC el 50% de la población en DM1 y el 37.5% en DM2 estaban dentro del rango de obesidad y se encontró una relación con respecto al tipo de comida “desayuno-cena” vs el tiempo promedio del efecto máximo de la insulina calculado para ambos grupos (p:0.010). Conclusiones: El tiempo promedio del efecto máximo de la insulina calculado fue menor al tiempo reportado en la literatura clínica de 120 minutos. El tipo de comida principal mostró una relación con el tiempo promedio del efecto máximo en ambos grupos.