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Statistical analysis is a crucial step in all experimental studies, including sport sciences, because inappropriate analysis can lead to erroneous assumptions of performed experiments. Statistical analyses of the training-related data are required to make the training process more efficient. The analyses of various parameters are performed in repeated cycles, requiring appropriate statistical tests. STATISTICA software (version 10) offers a Friedman test for non-parametric analyses of more than 2 groups of repeated measures (which often takes place). Unfortunately, there is no post hoc test to verify which groups decide of the statistical significance of the results. The solution to this problem may lie in the normalization of the data with one of the most popular logarithmic transformations. It allows performing multiple comparisons for the 1-way ANOVA with repeated measures, as well as appropriate post hoc test to precisely determine which group of data is responsible for the statistical significance of the differences.
Introduction. Aerobic training plays an important role in soccer and is designed to improve players’ cardiovascular health. Aim of Study. The aim of this study was to assess the impact of a semi-long distance outdoor run on the lipid profile of soccer players. Material and Methods. Plasma activity of lipase (LP) and blood levels of triglycerides (TG), total cholesterol (TC), lipoproteins cholesterol: HDL-C and LDL-C, were determined among sixteen (8 male and 8 female) soccer players, before, immediately after the run, and at the beginning of recovery time (30 minutes after the run). Results. The semi-long distance outdoor run caused a 30% decrease in the TG level in both studied groups (p = 0.0019 and p = 0.0002, pre-exercise vs. post-exercise for males and females, respectively). Post-exercise changes in TC (p = 0.0121 and p = 0.0158, pre-exercise vs. post-exercise for males and females, respectively) were observed. The changes in HDL-C level (p = 0.0001 pre-exercise vs. post-exercise) in males and LDL-C level (p = 0.00003 pre-exercise vs. postexercise) in female soccer players were also found. Additionally, there were no post-exercise changes in LP activity among the studied female players, however, a significant (p = 0.0119) post-exercise decrease in LP activity among the male players was found. Conclusions. Post-exercise changes in lipid profile and LP activity (at least among males) are markers of soccer players’ biochemical adaptation to the training process.
Introduction. A football match as well as long-term football training are known to influence players’ cellular metabolism and can lead to muscle damage, oxidative stress as well as biochemical and hormonal changes. Aim of Study. Considering the importance of aerobic training for football players, the aim of this study was to evaluate changes in plasma creatinine, uric acid (UA), and urea levels in response to a semi-long distance outdoor run in aerobic conditions in both female and male football players. Material and Methods. 16 voluntarily recruited football players aged 22.50 (women) and 18.35 (men) years, took part in an outdoor run. The female players covered a distance of 7.4 ± 0.3 km, while the male players covered a distance of 10.7 ± 1.0 km. Plasma levels of the studied biochemical parameters were determined using an appropriate diagnostic assay kit. Results. Aerobic exercise did not influence the creatinine level of football players, whereas a significant decrease in median post-exercise UA level was found only in the group of female players. The outdoor run caused a systematic increase in urea plasma concentration during the experiment in both studied groups. Conclusions. The obtained results confirm that UA and urea blood plasma levels could be effective diagnostic markers for evaluation of metabolic response to aerobic exercise, at least among female athletes. The correlations found in this study point to urea as a potential marker of overtraining syndrome in athletes.
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