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SELECTED ASPECTS OF STATISTICAL ANALYSES IN SPORT WITH THE USE OF STATISTICA SOFTWARE

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Jascaniene N., Nowak R., Kostrzewa-Nowak D., Kolbowicz M.
Central European Journal of Sport Sciences and Medicine
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2013
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vol. 3
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issue 3
3-11
EN
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.
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Do G894T Polymorphisms of Endothelial Nitric Oxide Synthase 3 (NOS3) Influence Endurance Phenotypes?

88%
Cięszczyk P., Sawczuk M., Maciejewska A., Jascaniene N., Eider J.
Journal of Human Kinetics
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2010
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vol. 24
73-80
EN
Endothelial nitric oxide (NO) synthase gene (NOS3) is taken into account as one of the main regulators of blood pressure and basal vascular dilation - two main factors found to be limiting for endurance performance.We compared genotypic and allelic frequencies of the NOS3 G894T polymorphism in two groups of men of the same Caucasian descent: elite endurance athletes (rowers; n=63) and sedentary controls (n=160).We have not found any statistical difference in G894T genotype and allele frequencies in endurance orientated athletes compared to sedentary controls. The difference in G allele frequency between the rowers and controls did not reach statistical significance (73.5% vs. 67.2%, P = 0.307), similar to genotype distribution amongst the rowers (58.7% GG; 39.4% GT; 6.4% TT) compared to controls (43.7% GG; 46.9% GT; 9.4% TT) (P=0.129).In summary, our results are in contradiction to the hypothesis that NOS3 G894T polymorphism is associated with the physical performance status in rowing. Of course, our findings do not mean that other polymorphisms in NOS3 gene do not have any beneficial effect on performance parameters, but to confirm that hypothesis, we need further studies.
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