786 resultados para Fat percentage


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The use of markers distributed all long the genome may increase the accuracy of the predicted additive genetic value of young animals that are candidates to be selected as reproducers. In commercial herds, due to the cost of genotyping, only some animals are genotyped and procedures, divided in two or three steps, are done in order to include these genomic data in genetic evaluation. However, genomic evaluation may be calculated using one unified step that combines phenotypic data, pedigree and genomics. The aim of the study was to compare a multiple-trait model using only pedigree information with another using pedigree and genomic data. In this study, 9,318 lactations from 3061 buffaloes were used, 384 buffaloes were genotyped using a Illumina bovine chip (Illumina Infinium (R) bovineHD BeadChip). Seven traits were analyzed milk yield (MY), fat yield (FY), protein yield (PY), lactose yield (LY), fat percentage (F%), protein percentage (P%) and somatic cell score (SCSt). Two analyses were done: one using phenotypic and pedigree information (matrix A) and in the other using a matrix based in pedigree and genomic information (one step, matrix H). The (co) variance components were estimated using multiple-trait analysis by Bayesian inference method, applying an animal model, through Gibbs sampling. The model included the fixed effects of contemporary groups (herd-year-calving season), number of milking (2 levels), and age of buffalo at calving as (co) variable (quadratic and linear effect). The additive genetic, permanent environmental, and residual effects were included as random effects in the model. The heritability estimates using matrix A were 0.25, 0.22, 0.26, 0.17, 0.37, 0.42 and 0.26 and using matrix H were 0.25, 0.24, 0.26, 0.18, 0.38, 0.46 and 0.26 for MY, FY, PY, LY, % F, % P and SCCt, respectively. The estimates of the additive genetic effect for the traits were similar in both analyses, but the accuracy were bigger using matrix H (superior to 15% for traits studied). The heritability estimates were moderated indicating genetic gain under selection. The use of genomic information in the analyses increases the accuracy. It permits a better estimation of the additive genetic value of the animals.

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Body composition has fundamental importance in the quality of life and is a powerful predictor of mortality and morbidity in humans. The identification and monitoring of the amount of body fat have been receiving special attention in aspects related to health promotion, not just for its actions in the prevention and in the control of cardiovascular diseases but also for their induction and association with risk factors, especially in the plasmatic lipid levels and arterial pressure. It was investigated the relationship between body mass index (BMI) and body fat percentage (%BF) by bioelectrical impedance analysis (BIA) with the blood pressure levels (systolic and diastolic) and serum lipids (TC, HDL-c, LDL-c, VLDL-c, TG). In a group of fifty seven women (aged 18 to 26 years old ), obesity was detected in 5 and 19 women by BMI (≥ 30 kg/m2) and %BF (≥ 30%), respectively. BMI and % BF were positively correlated with blood pressure (systolic and diastolic), and highly significant in the obese group by %BF. Moreover, BMI and % BF were significantly correlated with all lipids and lipoprotein fractions VLDL-c and triglyceride, respectively. These results suggest that %BF is a good indicator of “occult obesity” in subjects with normal body mass index. The associated use of BMI and %BF to better evaluate obesity may improve the study of blood pressure levels and serum lipid changes that are commonly associated with obesity.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

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Soccer is the most popular sport in Brazil and one of the most popular in the world. Within this context, the practice of university soccer has increased the number of practitioners. A methodology widely used in the training of high performance teams are games reduced field ( JCR). The objective of this study was to evaluate the intensity of physical effort of football players during a small side game, 4x4, check the correlation between [La], HR PSE and the players and the floater influence on the intensity of the small side game. We analyzed eight players of UNESP in Bauru mean age 21.2+1.5 years, weight 75.8+11.6 kg, height 1.77±8cm, body fat percentage 12.3+5.5%, VO2max 37.1 ml/kg/min. The training was performed in 4 x 6 min with an interval of between one minute for recovery. The [La] and PSE were collected between the second and third time and after the end of training, the HR was measured every five seconds throughout the training through the RS400 heart rate monitor. A training session player floater participation (4x4+1) and the other not (4x4). The results presented showed no correlation with the HR [La] and PSE. HR significantly different, being 157+10 in the game 4x4+1 and 146+13 in the game 4x4. The percentage of HRmax in the game with floater was 81.3% and 75.7% in the game without. The players were most of the time in a higher intensity in the JCR with a floater, 37.8% of playing time over 85% HRmax, and 22.5% of playing time over 85% of HRmax in the JCR without floater, demonstrating that the use of a floater player made the game more intense and efficient to increase the intensity of the game

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Futsal is one of the most popular sports in Brazil, played on five continents, in hundreds of countries, but is still a poorly studied sports science. Among the types of training used in the preparation of soccer players, the collective training is one of the most used because it is a simulation game. The application of the training load is often made in large quantities (volume) with exercise duration and intensity greater than what the athlete can handle. Thus, this study aimed to evaluate the intensity of physical exertion of futsal players of basic category during collective training. We evaluated twenty (N=20) soccer players from two teams with different levels of training. There were ten players on a team federated (FED) and ten players on a team for a project extension (EXT). Samples were collected at the respective locations of training. An evaluation of anthropometric and during collective training heart rate was measured and at the end of each training time blood samples were collected for analysis of blood lactate concentration and perceived exertion of the players. There was significant difference between the two teams only in fat percentage (FED=13,4 e EXT=21,2). The average heart rate during training was 174 ± 12.2 bpm, which corresponds to 84% HRmax. There was significant difference between heart rate and the percentage of HRmax in the two parts of training in both teams. The Federated team players remained most of the time in more intense intensity zone (above 85% HRmax), while the EXT players were most of the time zone of moderate intensity (65-85% HRmax). The rating of perceived exertion (FED=3,5 e EXT=3,2) and blood lactate concentration (FED=2.4 mmol/L and EXT=2.9 mmol/L) showed no significant difference between the two teams and between the two times. During training there was a significant correlation (p= 0.71) between heart rate and lactate concentration. The collective training showed an intensity that is supposed to be...

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Obesity has been considered the key in metabolic syndrome (MetS) development, and fat accumulation may be responsible for the occurrence of metabolic abnormalities in hemodialysis patients. The use of gold-standard methods to evaluate obesity is limited, and anthropometric measures may be the simplest methods. However, no study has investigated the association between anthropometric indexes and MetS in these patients. Therefore, the aim was to determine which anthropometric indexes had the best association and prediction for MetS in patients undergoing hemodialysis. Cross-sectional study that included patients older than 18 years, undergoing hemodialysis for at least 3 months. Patients with liver disease and cancer or those receiving corticosteroids or antiretroviral therapy were excluded. Diagnostic criteria from Harmonizing Metabolic Syndrome were used for the diagnosis of MetS. Anthropometric indexes evaluated were body mass index (BMI); percent standard of triceps skinfold thickness and of middle arm muscle circumference; waist circumference (WC); sagittal abdominal diameter; neck circumference; waist-to-hip, waist-to-thigh, and waist-to-height ratios; sagittal index; conicity index; and body fat percentage. Ninety-eight patients were included, 54.1% male, and mean age was 57.8 ± 12.9 years. The prevalence of MetS was 74.5%. Individuals with MetS had increased accumulation of abdominal fat and general obesity. Waist-to-height ratio was the variable independently associated with MetS diagnosis (odds ratio, 1.21; 95% confidence interval, 1.09-1.34; P < .01) and that better predicts MetS, followed by WC and BMI (area under the curve of 0.840, 0.836, and 0.798, respectively, P < .01). Waist-to-height ratio was the best anthropometric predictor of MetS in maintenance hemodialysis patients.

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Pós-graduação em Fisioterapia - FCT

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Abstract Background: Several mechanisms have been proposed to contribute to cardiac dysfunction in obesity models, such as alterations in calcium (Ca2+) handling proteins and β-adrenergic receptors. Nevertheless, the role of these factors in the development of myocardial dysfunction induced by obesity is still not clear. Objective: The purpose of this study was to investigate whether obesity induced by hypercaloric diets results in cardiac dysfunction. Furthermore, it was evaluated whether this functional abnormality in obese rats is related to abnormal Ca2+ handling and the β-adrenoceptor system. Methods: Male 30-day-old Wistar rats were fed with standard food (C) and a cycle of five hypercaloric diets (Ob) for 15 weeks. Obesity was defined as increases in body fat percentage in rats. Cardiac function was evaluated by isolated analysis of the left ventricle papillary muscle under basal conditions and after inotropic and lusitropic maneuvers. Results: Compared with the control group, the obese rats had increased body fat and glucose intolerance. The muscles of obese rats developed similar baseline data, but the myocardial responsiveness to post-rest contraction stimulus and increased extracellular Ca2+ were compromised. There were no changes in cardiac function between groups after β-adrenergic stimulation. Conclusion: Obesity promotes cardiac dysfunction related to changes in intracellular Ca2+ handling. This functional damage is probably caused by reduced cardiac sarcoplasmic reticulum Ca2+ ATPase (SERCA2) activation via Ca2+ calmodulin kinase. (Arq Bras Cardiol 2011; 97(3) : 232-240).

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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OBJECTIVE: The aim of the present study was to evaluate the influence of anthropometric characteristics and gender on postural balance in adults. One hundred individuals were examined (50 males, 50 females; age range 20-40 years). METHODS: The following body composition measurements were collected (using bone densitometry measurements): fat percentage (% fat), tissue (g), fat (g), lean mass (g), bone mineral content (g), and bone mineral density (g/cm(2)). In addition, the following anthropometric measurements were collected: body mass (kg), height (cm), length of the trunk-cephalic region (cm), length of the lower limbs (cm) and length of the upper limbs (cm). The following indices were calculated: body mass index (kg/m(2)), waist-hip ratio and the support base (cm 2). Also, a postural balance test was performed using posturography variables with open and closed eyes. RESULTS: The analysis revealed poor correlations between postural balance and the anthropometric variables. A multiple linear regression analysis demonstrated that the whole group (female and male) height explained 12% of the medial-lateral displacement, 10% of the speed of oscillation, and 11% of the displacement area. The length of the trunk-cephalic length explained 6% of the displacement in the anteroposterior direction. With eyes closed, the support base and height explained 18% of the medial displacement, and the lateral height explained 10% of the displacement speed and 5% of the scroll area. CONCLUSION: Measured using posturography, the postural balance was only slightly influenced by the anthropometric variables, both with open and closed eyes. Height was the anthropometric variable that most influenced postural balance, both in the whole group and separately for each gender. Postural balance was more influenced by anthropometric factors in males than females.