Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: sport selection

Sortuj według:

Ogranicz wyniki do:

Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik

Dependence of aerobic performance of athletes on polymorphism of genes

100%

Drozdovska S. B., Lysenko O. M., Dosenko V. E., IIyin V. N.

Central European Journal of Sport Sciences and Medicine

2015

tom 09

nr 1

The adaptation of an athlete to systematic physical exercise has been shown to be determined by a combination of great many genes. The aim of our study was to investigate the dependence of the aerobic capacity parameters in sport on the set of gene polymorphisms. Cardio-respiratory system (CRS) adaptation reactions to exercise of 72 endurance athletes were assessed using the gas analysis. The analysis of the obtained results has shown both single and combined effect of the gene polymorphisms on the aerobic capacity. The impact of 6 polymorphisms on the aerobic performance level was analyzed: Т–786→С polymorphism of the promoter of еNOS gene as well as АСЕ I/D polymorphism, Рго/Ala polymorphism of PPARG gene, G/C polymorphism of PPARA gene, Pro582Ser polymorphism of HIF1α gene, and Ala203Pro polymorphism of PPARGC1B. It was found that a single impact on the HRmax providing АСЕ I/D polymorphism. Individual influence of АСЕ gene accounts for 2% of this index dissipation. Results showed that there is a dependence between the amount the maximum volume of consumed oxygen (VO2max) from the set of gene polymorphisms. Cumulative impact of these polymorphisms in the combination with the individual parameters (gender; qualification; kind of sport) stipulates 71% of dispersion of VO2max value.

The PPARa gene polymorphism in team sports athletes

100%

Ahmetov I. I., Egorova E. S., Mustafina L. J.

Central European Journal of Sport Sciences and Medicine

2013

tom 01

nr 1

Peroxisome proliferator-activated receptor α (PPARα) is a transcription factor that regulates lipid and glucose metabolism. Accumulating evidence suggests that the intron 7 C allele of the PPARA gene rs4253778 G/C polymorphism has an advantage for power-oriented athletes, presumably due to the hypertrophic effects on skeletal muscle and increase in glucose utilization in response to anaerobic exercise. The G allele, however, is said to be favorable for the endurance-oriented athletes. The metabolic demands of team sports involve aerobic and anaerobic energy pathways, as a result of the intermittent physical activity. The aim of the present study was to investigate the association between the PPARA gene polymorphism and team-sport athletic status. A total of 665 Russian athletes from 14 team sports and 1,706 controls were involved in the case-control study. We found that the frequency of the PPARA C allele was significantly higher in athletes compared to controls (20.5 vs. 16.4%, P = 0.0009), suggesting that anaerobic rather than aerobic metabolism may be crucial to the game performance in team sports. This means that our study indicates the association between the PPARA gene G/C polymorphism and team-sport athletic status. Although more replication studies are needed, the preliminary data suggest an opportunity to use the analysis of PPARA polymorphism, along with other gene variations and standard phenotypic assessment in team sports selection.

Predicting competitive swimming performance

84%

Wilk R., Fidos-Czuba O., Rutkowski L., Kozlowski K., Wisniewski P., Maszczyk A., Stanula A., Roczniok R.

Central European Journal of Sport Sciences and Medicine

2015

tom 09

nr 1

The aim of this study was to present the results of analyses conducted by means of complementary analytic tools in order to verify their efficacy and the hypothesis that Kohonen’s neural models may be applied in the classification process of swimmers. A group of 40 swimmers, aged 23 ±5 years took part in this research. For the purpose of verification of usefulness of Kohonen’s neural models, statistical analyses were carried out on the basis of results of the independent variables (physiological and physical profiles, specific tests in the water). In predicting the value of variables measured with the so called strong scale regression models, numerous variables were used. The construction of such models required strict determination of the endogenous variable (Y – results for swim distances of 200 m crawl), as well as the proper choice of variables in explaining the study’s phenomenon. The optimum choice of explanatory variables for the Kohonen’s networks was made on the grounds of regression analysis. During statistical analysis of the gathered material neural networks were used: Kohonen’s feature maps (data mining analysis). The obtained model has the form of a topological map, where certain areas can be separated, and the map constructed in this way can be used in the assessment of candidates for sports training.

Ograniczanie wyników

3 Central European Journal of Sport Sciences and Medicine

1 Ahmetov I. I.

1 Dosenko V. E.

1 Drozdovska S. B.

1 Egorova E. S.

1 Fidos-Czuba O.

1 IIyin V. N.

1 Kozlowski K.

1 Lysenko O. M.

1 Maszczyk A.

1 Mustafina L. J.

1 Roczniok R.

1 Rutkowski L.

1 Stanula A.

1 Wilk R.

1 Wisniewski P.

2 2015

1 2013

Wyniki wyszukiwania

Dependence of aerobic performance of athletes on polymorphism of genes

The PPARa gene polymorphism in team sports athletes

Predicting competitive swimming performance