3 resultados para high fat meal

em Scielo España


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Introduction: There are few studies on body composition and the effects of diet on weight postpartum women. The aim was to evaluate the body composition and bone parameters in lactating rats treated with diet containing flaxseed flour during postweaning period. Methods: After weaning, the lactating rat were divided in control (n = 6) and experimental (F, n = 6) group, treated with 25% flaxseed flour diet. After 30 days, body composition by dual-energy X-ray absorptiometry, serum analysis, organs and intra-abdominal fat mass, femur and lumbar vertebra parameters were determined. Results: The groups showed similar food intake, body mass and bone parameters. While F group showed the following: lower body (-5%), gonadal (-17%), mesenteric (-23%) and intra-abdominal (-6%) fat mass. Increase of HDL-cholesterol (+10%) and lower glucose (-15%), triglycerides (P < 0.05, -37%) and cholesterol (P < 0.05, -21%). Conclusions: The findings highlight the effects of flaxseed for control of adiposity and to maintain a healthy biochemical profile during the postnatal period.

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Introduction: Body mass index (BMI) has been one of the methods most frequently used for diagnose obesity, but it isn't consider body composition. Objective: This study intends to apply one new adiposity index, the BMI adjusted for fat mass (BMIfat) developed by Mialich, et al. (2011), in a adult Brazilian sample. Methods: A cross-sectional study with 501 individuals of both genders (366 women, 135 men) aged 17 to 38 years and mean age was 20.4 ± 2.8 years, mean weight 63.0 ± 13.5 kg, mean height 166.9 ± 9.0 cm, and BMI 22.4 ± 3.4 kg/m². Results and discussion: High and satisfactory R2 values were obtained, i.e., 91.1%, 91.9% and 88.8% for the sample as a whole and for men and women, respectively. Considering this BMIfat were developed new ranges, as follows: 1.35 to 1.65 (nutritional risk for malnutrition), > 1.65 and ≤ 2.0 (normal weight) and > 2.0 (obesity). The BMIfat had a more accurate capacity of detecting obese individuals (0.980. 0.993, 0.974) considering the sample as a whole and women and men, respectively, compared to the traditional BMI (0.932, 0.956, 0.95). Were also defined new cut-off points for the traditional BMI for the classification of obesity, i.e.: 25.24 kg/m² and 28.38 kg/m² for men and women, respectively. Conclusion: The BMIfat was applied for the present population and can be adopted in clinical practice. Further studies are needed to determine its application to different ethnic groups and to compare this index to others previously described in the scientific literature.

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Background: Vaspin is a newly-identified adipocytokine associated with insulin resistance (IR). Objective: The aim of this study was to investigate the correlation between plasma vaspin concentrations and IR and determine whether this association is affected by body composition, physical activity and pubertal stage in adolescents. Methods: Were studied 484 Brazilian adolescents aged 10-14 years whose anthropometric, clinical, biochemical, and lifestyle measurements were analized. We evaluated the correlation between vaspin and risk factors for IR in adolescents with normal and high body fat percentage (%BF) and did a logistic regression to calculate the odds ratio for IR according to vaspin quartiles sex specific for the sample. Results: Vaspin was positively correlated with IR in adolescents with high %BF (r = 0.23, p = 0.003). The logistic regression analysis adjusted for sex, age, BMI, and pubertal stage showed that adolescents in the 2nd (OR = 0.43, 95% CI = 0.23-0.80, p = 0.008) and 3rd (OR = 0.46, 95% CI = 0.25-0.85, p = 0.014) quartile of vaspin concentration had a lower risk for IR. When the model was adjusted for %BF and physical activity, the association remained statically significant only for adolescents in the 2nd quartile. Conclusion: Vaspin was correlated positively with risk factors associated with insulin metabolism in adolescents with high %BF. Vaspin was associated with a reduced risk of IR independently of BMI and pubertal stage and the association was influenced by body fat and physical activity in these adolescents.