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The aim of this study was to investigate the metabolic and inflammatory fluctuations in two seasonal phases of badminton training, and the ability of youth badminton athletes to respond to an inflammatory challenge given by acute exercise on these markers. Thirteen youth badminton athletes who participated in national and international competitions were recruited. Metabolic and cytokine profile were measured at rest and in response to a maximal exercise intermittent test, in the pre- and final phases of a badminton annual season. At rest, glucose (–7.58 mg/dL; p = 0.045) and HDL-cholesterol (HDL-c) (–26.87 mg/dL; p

The present systematic review and meta-analysis aimed to compare the impact of exercise intensity and mode (high-intensity interval exercise-HIIE or sprint interval exercise-SIE versus moderate-intensity continuous exercise-MICE) on post-exercise ad libitum energy intake. The studies were required to have at least two exercise conditions (HIIE or SIE vs MICE). Overall, 642 manuscripts were initially identified and 17 met the eligibility criteria. The random effect meta-analysis did not reveal differences for absolute energy intake (28 pairwise comparisons) between HIIE (p = 0.54; 95% Confidence Interval - CI: -0.14 to 0.26; 22 pairwise comparisons) or SIE (p = 0.08; 95% CI -0.65 to 0.03; 6 pairwise comparisons) versus MICE, neither for relative energy intake (p = 0.97; 95% CI: -0.35 to 0.10 for HIIE; p = 0.28; 95% CI: -1.03 to 0.06 for SIE) with five and one pairwise comparisons, respectively. Subgroup analyses for methods to evaluate ad libitum energy intake, body mass, sex, volume, and timing of exercise were non-significant. Inspecting each study, two pairwise comparisons reported lower post-exercise absolute energy intake in HIIE compared to control (CRTL), and three pairwise comparisons reported lower absolute energy intake after SIE compared to MICE. None pairwise comparison reported differences between protocols (HIIE or SIE versus MICE) for relative energy intake. In conclusion, the meta-analysis did not show differences between protocols for absolute and relative energy intake; five pairwise comparisons from 28 demonstrated lower absolute energy intake in HIIE or SIE compared to CRTL or MICE. Further studies are needed to address the key relevant variables in which exercise intensity and mode may impact energy intake.

The purpose of this study was to investigate the influence of short and moderate recovery intervals during heavy strength exercise on performance, inflammatory, and metabolic responses in recreational weightlifters. Eight healthy subjects (age = 24.6 ± 4.1 years) performed 2 randomized sequences with different rest intervals: short = 90% of 1RM and 30 seconds rest allowed between sets; moderate = 90% of 1RM and 90 seconds rest allowed between sets. All sequences of exercises were performed over 4 sets until movement failure in the squat and bench press exercises, respectively. Glucose, TNF-α, IL-6, IL-10, IL-10/TNF-α ratio, and nonester fatty acid concentrations were assessed at the baseline, immediately postexercise, post-15 and post-30 minutes. We observed a statistically significant decrease after 30 seconds on maximum number of repetitions (p = 0.003) and total weight lifted (p = 0.006) after the bench press, and there was a marginal decrease in the squat (p = 0.055). The glucose concentrations showed a significant increase post-15 minutes in the 30-second condition (pre-exercise = 86.1 ± 9.1, immediately = 85.3 ± 8.2, post-15 = 97.0 ± 9.0, post-30 = 87.1 ± 5.3 mg/dl; p = 0.015); on the other hand, IL-10 increased post-30 minutes in the 90-second condition (pre-exercise = 18.2 ± 12.7, immediately = 16.4 ± 10.7, post-15 = 16.8 ± 12.2, post-30 = 35.0 ± 13.1 pg/ml; p0.001). In addition, the 90-second condition showed anti-inflammatory effects (as indicated by IL-10/TNF-α ratio: pre-exercise = 1.08 ± 1.32, immediately = 1.23 ± 1.20, post-15 = 1.15 ± 1.14, post-30 = 2.48 ± 2.07; p = 0.020) compared with the 30-second condition (pre-exercise = 1.30 ± 2.04, immediately = 0.99 ± 1.27, post-15 = 1.23 ± 1.82, post-30 = 1.28 ± 1.28; p = 0.635). Thus, we concluded that a moderate interval of recovery (90 seconds) during heavy strength exercise allowed higher workload, IL-10 levels, and IL-10/TNF-α ratio in recreational weightlifters.

to analize the level of functional fitness of a group of postmenopausal women in the city of Presidente Prudente using the set of functional fitness tests of the American Alliance for Health, Physical Education, Recreation and Dance and to check whether there are differences between groups of women in the fifth and sixth decade of life.This was a cross-sectional study conducted on 175 postmenopausal women (follicle stimulating hormone level26.72 mIU/L) in the city of Presidente Prudente in 2013. The inclusion criteria were not being part of any type of systematic motor intervention for at least six months before the collection of research data; absence of motor or cognitive impairment that would prevent the evaluation protocols, and absence of chronic or degenerative disease, musculoskeletal injury or comorbidity that could prevent or limit the evaluations. The women were evaluated by the same trained examiners. The 50 to 59 year group showed a mean age of 55.3 ± 4.5 years, mean FSH values of 53.5 ± 21.1 mIU/mL, mean coordination of 11.4 ± 2.2 seconds, mean strength of 20.1 ± 3.9 repetitions, mean flexibility of 51.7 ± 11.8 cm, mean 23.2 ± 2.8 seconds agility and mean aerobic resistance of 500 ± 43/2. The 60 to 69 year group had a mean age of 65.1 ± 4.1 years with FSH 54.9 ± 15.9, 11.6 ± 2.6 seconds coordination, strength 20.3 ± 4.7 repetitions, 54.6 ± 11.2 cm flexibility, agility 24.7 ± 4.3 seconds, and aerobic resistance of 508 ± 51 seconds.It was possible to analyze the functional fitness of postmenopausal women through the set of the American Alliance testing for Health, Physical Education, Recreation and Dance with no significant differences between groups for the variables strength, flexibility, aerobic capacity and coordination, and with only the speed variable showing significant differences. We recommend further studies seeking to formulate normative values for the population in question.

To evaluate the effect of 8 weeks of functional training on body composition in postmenopausal women.The study was conducted on 38 postmenopausal women, divided into two groups: Training Group (TG) and Control Group (CG). TG women (n = 21) performed a program of physical exercise for a period of 8 weeks, 3 times a week on nonconsecutive days, with 90 minutes per session. For the same period, CG women (n = 17) did not perform any systematic physical activity. All participants were assessed at baseline and after 8 weeks. The evaluations were performed by the same trained raters. Analysis of body composition was performed using dual-energy X-ray absorptiometry (DEXA), which allows estimation of body composition in the whole body and by segment. TG participants performed a functional exercise program 3 days a week (non-consecutive), with 11 stations consisting of exercises developed in circuit format sessions. The objectives of the exercises were the development of strength, agility, coordination and proprioception, followed by aerobic exercise (walking). After normality of the data was determined by the Shapiro-Wilk test (p0.05), we applied the Student t-test for independent samples to check for possible differences in anthropometric variables and body composition between groups at both times of intervention (pre and post-test). All analyses were performed using the SPSS software v. 17.0 (SPSS Inc., Chicago, IL, USA) with the level of significance set at 5%.At baseline, no significant difference was observed between groups regarding anthropometric body variables or age composition, indicating homogeneity of the groups. After 8 weeks of training, significant differences were observed between TG and CG regarding fat - CG = 0.2 ± 0.7 and TG = -0.4 ± 0.5, total body fat (kg) - CG = 0.2 ± 1.3 and TG = -0.7 ± 0.8, and total weight - CG = 0.4 ± 1.4 and TG = -0.6 ± 1.1. Percent body fat was reduced in terms of absolute values, although without significance: CG = 0.1 ± 1.5 and TG = -0.8 ± 1.5.Functional training in circuit format can be used as a strategy to alter body composition in postmenopausal women, particularly in terms of reduction of adipose tissue. This is a model that promotes high adhesion on the part of the participants, suggesting that it is an attractive proposal for the investigated age group.

To determine the relationship between total body and trunk fat mass and gait performance in postmenopausal women.Thirty-nine postmenopausal women aged 50 years or more were studied. The following items were determined: weight and height to calculate body mass index (BMI), body composition using the technique of Dual-Energy X-ray Absorptiometry (DXA), and gait using baropodometry. The body composition variables used were total body fat, percent body fat and trunk fat, while the gait variables were percent double stance time and single stance time and gait speed. The women were divided into two groups according to the median for each body composition variable: less and more body fat, less and more percent body fat and less and more trunk fat. To compare the gait variables between groups, we used the Mann-Whitney test. To evaluate the possible relationships between body composition variables and gait variables, we used the Spearman correlation test. All analyses were performed with the level of significance set at 5%.The group with more trunk fat showed longer double stance time (p=0.007) and lower values of single stance time (0.033) than the group with less trunk fat. We found significant and positive correlations between trunk fat and double stance time (R=0.40) and negative correlations between trunk fat and single stance time (R=-0.32).Postmenopausal women with a greater amount of trunk fat tended to have impaired gait performance.

To analyze the relationship between physical activity and body composition in menopausal women.The study included 62 menopausal women aged 50 years or more (61.2±7.6). The practice of physical activity was assessed with an accelerometer and is reported as minutes per week of low physical activity and moderate plus vigorous physical activity, and total physical activity in counts. Lean mass and total fat mass were assessed by dual-energy X-ray absorptiometry, and are reported as percentages. The relation between body composition variables and physical activity was evaluated by Spearman and Pearson correlation. Comparisons between groups were performed using the independent t test and Mann-Whitney test.The age group 59 years or older had higher mean values of total physical activity in counts (1,307.081 versus 2,843.840) and of minutes per week of moderate-vigorous physical activity (273 versus 156 minutes). Women who completed 150 minutes or more of moderate-vigorous physical activity had significantly lower total fat mass (43.8 versus 47.2 kg), higher lean mass (53.8 versus 49.6 kg) and lower BMI (27.7 versus 30.5 kg/m²) when compared to those with less than 150 minutes of physical activity per week. Only time spent in moderate activities showed a significant negative correlation with the percentage of total fat (r=-0.26, p0.05), whereas total physical activity in counts correlated with the percentage of lean body mass (r=0,30), percentage of total fat (r=-0.32), trunk fat (r=-0.29), and BMI (r=-0.32); all correlations were statistically significant at p0.05.menopausal women aged 50 years or more who spent more minutes in moderate and vigorous activity and higher total physical activity counts showed lower fat mass and higher lean mass.