Computational protocol: IL-6, Antioxidant Capacity and Muscle Damage Markers Following High-Intensity Interval Training Protocols

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Protocol publication

[…] Collected data were checked to detect outliers and to verify sampling distribution (Shapiro-Wilk test; p < 0.05). The outliers were removed and not included in the statistical analysis. The data were log-transformed using the natural logarithm if the non-normality or heteroscedasticity was revealed. All variables were presented as mean ± standard deviation. The analysed differences were presented as standardized changes in mean (Effect size; ES). ES and 90% confidence intervals (90% CI) were calculated for the between time points changes. The threshold values for ES statistics were <0.2 trivial, ≥0.2 small, ≥0.6 moderate, ≥1.2 large, ≥2.0 very large, ≥4.0 nearly perfect (). The exact probabilities were expressed and the magnitude of the difference was also evaluated qualitatively as follows: 25-75% possibly, 75-95% likely, 95-99.5% very likely, >99.5% most likely (). The smallest worthwhile change/difference was considered 0.2 of the between-individual standard deviation. If the 90% confidence interval overlapped small positive and negative values, the magnitude of the outcome was deemed unclear. Statistical analyses were performed using a statistical spreadsheet () or Microsoft Office Excel 2010 and IBM SPSS Statistics 23. The figures were made with SigmaPlot 13.0. […]

Pipeline specifications

Software tools SPSS, SigmaPlot
Application Miscellaneous
Diseases Muscular Diseases
Chemicals Creatine, Lactic Acid