ABSTRACT
Physical activity is broadly recognized for promoting weight reduction and bestowing numerous health benefits. Nonetheless, robust evidence concerning the impact of physical activity on postmenopausal women, undergoing physiological shifts, remains scant. This study aimed to elucidate the relationship between physical activity and body composition among postmenopausal women. Employing a cross-sectional and retrospective design, 702 women were examined. Data on physical activity and body composition were amassed through anthropometric assessments and Dual-Energy X-ray Absorptiometry (DEXA). A significant proportion of women exhibited anthropometric alterations indicative of overweight/obesity, alongside elevated values in Waist Circumference (WC), Waist-to-Hip Ratio, Waist-to-Height, and bone mass, signifying a heightened risk for disease onset. While a majority engaged in some form of physical activity, this did not yield notable reductions in the assessed metrics. Noteworthy changes were only discerned in BMI and bone mass among pre-menopausal women; whereas among postmenopausal women, in addition to disparities in bone mass, those inactive were 1.18 times more prone to a very high disease risk, as gauged by WC.
ABSTRACT
Background: Active videogames (AVGs) have been primarily studied in healthy individuals. To use the technology in type 1 diabetes mellitus (T1DM) patients, cardiovascular and enjoyment responses should be studied and compared with traditional exercises. Objective: To compare the effects of AVG and running exercises on cardiovascular and enjoyment responses in T1DM patients. Methods: Cardiovascular (heart rate, HR; blood pressure, BP; double product, DP; vessel diameter, VD; % endothelial function, %EF) and enjoyment levels were recorded during 3 weeks and twice per week. On the first day, patients completed baseline assessments, familiarization, and a 30-minute control session. On the second day and after 24 hours, the measurements were repeated. Patients repeated the same protocol in the second and third weeks and performed randomized active sessions. Results: T1DM patients had similar cardiovascular responses during active exercises without significant postexercise hypotension to HR, BP, and DP over time. However, VD and %EF values were higher in AVG, followed by running and rest, 30 minutes and after 24 hours (VD-AVG: 39.6 ± 9.5, 48.8 ± 12.3 and 56.6 ± 13.9 mm; VD-running: 41.5 ± 9.9, 47.4 ± 10.1 and 46.4 ± 12.4 mm; %EF-AVG: 9.6 ± 8.5, 29.6 ± 17.1 and 45.4 ± 25.9%; %EF-running: 7.3 ± 9.4, 14.8 ± 14.1 and 26.8 ± 18.9%, p < 0.05). Enjoyment was also higher in AVG compared with the running session (9.4 ± 0.7 vs. 7.7 ± 1.6; p < 0.05). Conclusions: AVG presented similar cardiovascular responses to running with higher endothelial and enjoyment levels.
Subject(s)
Diabetes Mellitus, Type 1 , Video Games , Cross-Over Studies , Exercise , Humans , PleasureABSTRACT
The equipment for evaluating the propulsion of a wheelchair is very complex and expensive. To validate a new dynamometer prototype for assessing the propulsion capacity of wheelchairs, 21 healthy subjects (age: 20.9±2.4 yr; weight: 68.9±7.9 kg; height: 174.0±7.1 cm; BMI: 22.7±2.5 kg·m -2 ) who do not normally require wheelchairs performed a sprint protocol for 20 s after a 1-min warm-up. The power and rotation data acquired by the prototype (both right and left sides) were compared with those of a reference system via high-speed videography (240 fps). The results showed high levels of accordance (95% CI), excellent values for the intraclass correlation coefficient (ICC: .99; P <0.00), no significant differences in the rotation ( P =0.91) and power ( P =0.94) between the methods. The proposed equipment met the validation criteria and thus can be applied as a new tool for assessing wheelchair propulsion.
ABSTRACT
OBJECTIVE: To validate an equation to estimate the maximal oxygen consumption (VO2max) of nonexpert adult swimmers. METHODS: Participants were 22 nonexpert swimmers, male, aged between 18 and 30 years (age: 23.1 ± 3:59 years; body mass: 73.6 ± 7:39 kg; height 176.6 ± 5.53 cm; and body fat percentage: 15.9% ± 4.39%), divided into two subgroups: G1 - eleven swimmers for the VO2max oximetry and modeling of the equation; and G2 - eleven swimmers for application of the equation modeled on G1 and verification of their validation. The test used was the adapted Progressive Swim Test, in which there occurs an increase in the intensity of the swim every two laps. For normality and homogeneity of data, Shapiro-Wilk and Levene tests were used, the descriptive values of the average and standard deviation. The statistical steps were: (1) reliability of the Progressive Swim Test - through the paired t-test, intraclass correlation coefficient (ICC), and the Pearson linear correlation (R) relative to the reproducibility, the coefficient of variation (CV), and standard error measurement (SEM) for the absolute reproducibility; (2) in the model equation to estimate VO2max, a relative VO2 was established, and a stepwise multiple regression model was performed with G1 - so the variables used were analysis of variance regression (AR), coefficient of determination (R(2)), adjusted coefficient of determination (R(2)a), standard error of estimate (SEE), and Durbin-Watson (DW); (3) validation of the equation - the results were presented in graphs, where direct (G1) and estimated (G2) VO2max were compared using independent t-test, linear regression (stressing the correlation between groups), and Bland-Altman (the bias agreement of the results). All considered a statistical significance level of P < 0.05. RESULTS: On the trustworthiness of the Progressive Swim Test adapted presented as high as observed (R and ICC > 0.80, CV < 10%, and SEM < 2%). In the equation model, VO2max has been considered the third model as recommended due to the values found (AR < 0.01, R = 0795, R(2) = 0633; R(2)a = 0.624, SEE = 7.21, DW = 2.06). Upon validation of the equation, no significant differences occurred between G1 and G2 (P > 0.01), linear regression stressed a correlation between the groups (R > 0.80, P < 0.01), and Bland-Altman plotting of the results was within the correlation limits of 1.96 (95% confidence interval). CONCLUSION: The estimating equation for VO2max for nonexpert swimmers is valid for its application through the Progressive Swim Test, providing to contribute in prescribing the swimming lessons as a method of evaluating the physical condition of its practitioners.
