ABSTRACT
[Purpose] The aim of the present study was to examine the effects of respiratory muscle warm-up on anaerobic power. [Subjects and Methods] Thirty male field hockey players (age, 20.5 ± 2.0â years) each participated in a control (CAN) trial and an experimental (EAN) trial. The EAN trial involved respiratory muscle warm-up, while the CAN trial did not. Anaerobic power was measured using the Wingate protocol. Paired sample t-tests were used to compare the EAN and CAN trials. [Results] There were significant increases in peak power and relative peak power, and decreases in the time to peak after the EAN trial by 8.9%, 9.6%, and 28.8% respectively. [Conclusion] Respiratory muscle warm-up may positively affect anaerobic power due to faster attainment of peak power.
ABSTRACT
The aim of this study was to investigate the effect of PPAR-α intron 7G>C and PPARGC1A gene Gly482Ser polymorphisms on aerobic performance of elite level endurance athletes. This study was carried out on 170 individuals (60 elite level endurance athletes and 110 sedentary controls). Aerobic performance of athletes and sedentary control groups were defined by maximal oxygen uptake capacity. DNA was isolated from peripheral blood using GeneJet Genomic DNA Purification kit. Genotyping of the PPAR-α intron 7G>C and PPARGC1A Gly482Ser polymorphisms was performed using PCR-RFLP methods, and statistical evaluations were carried out using SPSS 15.0. Mean age of athletes were 21.38 ± 2.83 (18-29) and control mean age were 25.92 ± 4.88 (18-35). Mean maximal oxygen consumption of athletes were 42.14 ± 7.6 ml/(kg min) and controls were 34.33 ± 5.43 ml/(kg min). We found statistically significant differences between the athlete and control groups with respect to both PPAR-α and PPARGC1A genotype distributions (p = 0.006, <0.001, respectively) and allele frequencies (<0.001, <0.001, respectively). Additionally, when we examined PPAR-α and PPARGC1A genotype distributions according to the aerobic performance test parameters, we found a statistically significant association between velocity, time and maximal oxygen consumption and PPAR-α and PPARGC1A genotypes (p < 0.001). To our knowledge, this is the first study in Turkey examined PPAR-α intron 7G>C and PPARGC1A Gly482Ser gene polymorphisms in elite level endurance athletes. Our results suggest that PPAR-α and PPARGC1A genes have strong effect on aerobic performance of elit level athletes.
