ORCID Profile
0000-0002-4557-2921
Current Organisation
Universidade Estadual Paulista
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Publisher: MDPI AG
Date: 20-01-2021
Abstract: The aim of this study was to analyse the impact of sex hormone fluctuations throughout the menstrual cycle on cardiorespiratory response to high-intensity interval exercise in athletes. Twenty-one eumenorrheic endurance-trained females performed an interval running protocol in three menstrual cycle phases: early-follicular phase (EFP), late-follicular phase (LFP) and mid-luteal phase (MLP). It consisted of 8 × 3-min bouts at 85% of their maximal aerobic speed with 90-s recovery at 30% of their maximal aerobic speed. To verify menstrual cycle phase, we applied a three-step method: calendar-based counting, urinary luteinizing hormone measurement and serum hormone analysis. Mixed-linear model for repeated measures showed menstrual cycle impact on ventilatory (EFP: 78.61 ± 11.09 LFP: 76.45 ± 11.37 MLP: 78.59 ± 13.43) and heart rate (EFP: 167.29 ± 11.44 LFP: 169.89 ± 10.62 MLP: 169.89 ± 11.35) response to high-intensity interval exercise (F2.59 = 4.300 p = 0.018 and F2.61 = 4.648 p = 0.013, respectively). Oxygen consumption, carbon dioxide production, respiratory exchange ratio, breathing frequency, energy expenditure, relative perceived exertion and perceived readiness were unaltered by menstrual cycle phase. Most of the cardiorespiratory variables measured appear to be impassive by menstrual cycle phases throughout a high-intensity interval exercise in endurance-trained athletes. It seems that sex hormone fluctuations throughout the menstrual cycle are not high enough to disrupt tissues’ adjustments caused by the high-intensity exercise. Nevertheless, HR based training programs should consider menstrual cycle phase.
Publisher: Wiley
Date: 13-08-2013
DOI: 10.1002/OBY.20543
Abstract: This study aimed to verify the validity of BAI in predicting %BF in a s le of Brazilian women A total of 102 women (average age 60.3 ± 9.8) were assessed. To determine percentage body fat (% BF), dual-energy X-ray absorptiometry (DXA) was used as the "gold standard." To evaluate the association between body adiposity index (BAI) and % BF assessed by DXA, we used Pearson's correlation coefficient. Paired s le t-test was used to test differences in mean % BF between BAI and DXA. To evaluate the concordance between % BF measured by DXA and estimated by BAI, we used the Lin's concordance correlation coefficient and the agreement analysis of Bland-Altman. The correlation between % BF obtained by DXA and that estimated by BAI was r = 0.65, P < 0.001. Paired t-test showed significant mean difference between methods (P < 0.0001). Lin's concordance correlation coefficient was C_b = 0.73, which is classified as poor, while the Bland-Altman plots showed BAI underestimating % BF in relation to the used criterion measure in a large portion of the s le. Results of the present study show that BAI presented low agreement with % BF measured by DXA, which is not recommended for % BF prediction in this studied s le.
Publisher: Springer Science and Business Media LLC
Date: 31-05-2017
DOI: 10.1038/EJCN.2017.84
Abstract: To examine compensatory changes in sedentary behavior (SB) and light-intensity physical activities (LIPA) in response to a 22-week exercise training program in overweight/obese adults and to determine if different forms of exercise training and physical activity recommendations interact with these compensatory changes. Eighty-nine overweight and obese in iduals (body mass index (BMI): 25-34.9 kg/m LIPA increased significantly (P<0.001) after three months and at the end of intervention compared to baseline (pre: 281±9 min 3 months: 303±9 min post: 312±8 min). SB percentage decreased by 5.3 at the end of the intervention (P=0.002). No interactions were observed between groups or sexes. Significant correlations were found between SB and body weight, fat mass, android fat mass and lean body mass before and after the intervention (P<0.05). LIPA was also significantly correlated with all these body composition variables in the pre-intervention, but only correlated with body weight at the end of intervention. There were no compensatory changes after a combined exercise and diet program where minutes in LIPA increased and %SB decreased after the program, without differences among exercise modes. Greater physical activity levels can contribute to a better percentage and distribution of body tissues.
No related grants have been discovered for Eliane Aparecida Castro.