Visceral adipose tissue (VAT) has high metabolic activity and secretes a larger number of adipokines that are related to the inflammatory process. Quantifying VAT could estimate the risk of developing Metabolic Syndrome (MetS). This study was designed to determine the VAT cut-off points assessed by DXA associated with MetS in military men. In total, 270 (37.5 ± 6.9 years) military men from the Brazilian Army (BA) participated in the study. Anthropometric measurements, assessment of body composition by dual X-ray absorptiometry (DXA), hemodynamics and biochemical tests were performed. The Student’s t test, independent samples, Person’s correlation, ROC curve, Youden Index and positive (PPV) and negative predictive value (NPV) were used. The MetS prevalence was 27.4%, which means that 74 (38.0 ± 7.3 years) military men had at least three risk factors of MetS present. The cutoff point of VAT with the highest balance between sensitivity (77.0%) and specificity (69.9%) was 1025.0 cm3 (1086.0 g). An area on the ROC curve was 0.801 (p < 0.000), which was very good precision. VAT ≥ 1025.0 cm3 (1086.0 g) is associated with the risk factors of MetS and is, therefore, a predictor of the disease with good indicators of sensitivity and specificity and a robust indicator of MetS.
Introduction: The objective was to verify the relationship between anthropometric parameters and biomarkers associated with cardiometabolic diseases in military personnel. Methods: This is an analytical cross-sectional study, which involved 26 male Brazilian Army (EB) soldiers, with a mean age of 32.7 ± 2.12, physically active and from various EB military organizations. Serological clinical biomarkers were evaluated: glucose (GLUC), insulin (INSUL), triglyceride (TRIG), total cholesterol (TC) and high-density lipoprotein (HDL-c) and anthropometric variables obtained with a dual energy X-ray absorption densitometer (DXA) and body circumferences. The Shapiro-Wilk test and the Pearson correlation test were applied using the software Statistics® version 12.0. Results: Significant negative correlations between GLUC and lean mass (LM) (r = -0.46; p = 0.031) and fat-free mass (FFM) (r = -0.46; p = 0.032) and positive with the percentage of fat (%F) (r = 0.43; p = 0.043). Insulin (INSUL) showed positive correlations with fat mass (FM) (r = 0.52; p = 0.012); visceral adipose tissue (VAT) (r = 0.48; p = 0.024), waist circumference (WC) (r = 0.53; p = 0.01) and body mass index (BMI) (r = 0, 54; p = 0.009). The index of the model for assessing insulin homeostasis (HOMA-IR) showed positive correlations with %F (r = 0.44; p = 0.04), FM (r = 0.55; p = 0.007), VAT ( r = 0.52; p = 0.014), WC (r = 0.54; p = 0.01) and with the BMI (r = 0.52; p = 0.014). Conclusion: There was a positive association between variables representing insulin resistance and those related to body fat. In addition to negative correlations between GLUC and variables related to muscle mass. Resumen. Introducción. El objetivo fue verificar la relación entre parámetros antropométricos y biomarcadores asociados a enfermedades cardiometabólicas en personal militar. Métodos: Se trata de un estudio analítico de corte transversal, que involucró a 26 hombres soldados del Ejército Brasileño (EB), con una edad media de 32,7 ± 2,12 años, físicamente activos y de diversas organizaciones militares de la EB. Se evaluaron biomarcadores clínicos serológicos: glucosa (GLIC), insulina (INSUL), triglicéridos (TRIG), colesterol total (CT) y lipoproteínas de alta densidad (HDL-c) y variables antropométricas obtenidas con densitómetro de absorción de rayos X de energía dual (DXA) y circunferencias corporales. La prueba de Shapiro-Wilk y la prueba de correlación de Pearson se aplicaron utilizando el software Statistics® versión 12.0. Resultados: Correlaciones negativas significativas entre GLIC y masa magra (LM) (r = -0.46; p = 0.031) y masa libre de grasa (FFM) (r = -0.46; p = 0.032) y positiva con el porcentaje de grasa (% F) (r = 0,43; p = 0,043). La insulina (INSUL) mostró correlaciones positivas con la masa grasa (MG) (r = 0,52; p = 0,012); tejido adiposo visceral (IVA) (r = 0,48; p = 0,024), circunferencia de cintura (CC) (r = 0,53; p = 0,01) e índice de masa corporal (IMC) (r = 0, 54; p = 0,009). El índice del modelo para evaluar la homeostasis de la insulina (HOMA-IR) mostró correlaciones positivas con% F (r = 0.44; p = 0.04), MG (r = 0.55; p = 0.007), TAV (r = 0.52; p = 0.014), CC (r = 0,54; p = 0,01) y con el IMC (r = 0,52; p = 0,014). Conclusión: Hubo una asociación positiva entre las variables que representan la resistencia a la insulina y las relacionadas con la grasa corporal. Además de correlaciones negativas entre GLIC y variables relacionadas con la masa muscular.
Foram comparados os perfis metabólico e cardiorrespiratório de 301 militares do sexo feminino, integrantes tanto de Organizações Militares Não-Operativas (OMNOP) quanto de Organizações Militares Operativas (OMOP) do Exército Brasileiro. Trata-se de um estudo transversal analítico, que analisou as seguintes variáveis: aptidão cardiorrespiratória, marcadores bioquímicos e composição corporal. Na diferença das médias do VO2máx, as militares das OMOP tiveram escores estatisticamente maiores (M = 36,2 ± 4,4 ml/kg/min) do que as das OMNOP (M = 34,2 ± 5,7 ml/kg/min). O VO2máx se correlacionou positivamente com o HDL-c (lipoproteína de alta densidade) e negativamente com triglicerídeo e o Índice de Massa Corpórea (IMC). Já o IMC se correlacionou negativamente com o HDL-c e positivamente com triglicerídeo e glicose. A glicose, por sua vez, se correlacionou negativamente com o HDL-c. Os resultados deste artigo corroboram as evidências da literatura em relação às associações significativas, positivas e negativas, entre VO2máx e indicadores de saúde cardiovascular.
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