One way repeated ANOVA was used to compare time to exhaustion between sessions (S1, S2 and S3). Relative reliability was calculated with the intraclass correlation (ICC) model (3, 1) . Absolute reliability was calculated with the typical error of measurement (the standard deviation of the change scores divided by [28, 29]). Bland and Altman’s 95% limits of agreement were also used (calculated for S1 vs S2, S1 vs S3 and S2 vs S3) as an additional representation of measurement error and to identify the presence of heteroscedasticity . As data were heteroscedastic, both raw data and log transformed Bland and Altman’s plots are presented. Limit of agreement ratio (LOA) was also calculated from the log transformed data as follow: LOA = (1.96 × SDdiff / grand mean) × 100; where “SDdiff” represents the SD of the differences between tests (S1 vs S2, S1 vs S3, S2 vs S3) and “grand mean” represents (mean S1 + mean S2 + mean S3)/3. As time to exhaustion data were heteroscedastic, we also calculated the coefficient of variation (CV) for each subject as follow: CV = 100×(SD of the three measurements)/(mean of the three measurements). Mean CV for all subjects were also calculated. We also calculated the smallest worthwhile change (0.2 × between subjects SD) .
Squat Jacks are a surefire way to tone your legs and butt ,as well as your inner and outer thighs and provide a serious cardio blast and calorie burn in just 30 seconds. Marks says to do the following: Begin in a squat position, with your feet slightly wider than hip-width and place your hands behind your head, elbows wide. Keeping your core engaged, jump your feet in together, while maintaining a squat position. Quickly jump your feet back wide to the starting position. Be sure to keep your knees behind your toes the entire time.
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Recruitment criteria were one or both of sedentariness and dysmetabolism. Thus, we selected subjects who were not physically active or involved in any exercise program; that is, they had a sedentary lifestyle. Moreover, before entering the study, they were carefully screened for metabolic problems which attested a dysmetabolic status, as increased levels of plasma glucose, free fatty acids, triglyceride, and urate in fasting state. Both criteria were verified by means of family doctor databases of subjects.