22 research outputs found
Effects of playing surface on physical, physiological and perceptual responses to a repeated sprint ability test: natural grass versus artificial turf
Purpose: The effect of playing surface on physical performance during a repeated sprint ability (RSA) test, and the mechanisms for any potential playing-surface-dependent effects on RSA performance, is equivocal. The purpose of this study was to investigate the effect of natural grass (NG) and artificial turf (AT) on physical performance, ratings of perceived exertion (RPE), feeling scale (FS) and blood biomarkers related to anaerobic contribution [lactate (Lac)], muscle damage [creatine kinase (CK) and lactate dehydrogenase (LDH)], inflammation [c-reactive protein (CRP)] and immune function [neutrophils (NEU), lymphocytes (LYM) and monocytes (MON)] in response to a RSA test. Methods: Nine male professional football players from the same regional team completed two sessions of RSA testing (6 × 30 s interspersed by 35 s recovery) on NG and AT in a randomized order. During the RSA test, total (sum of distances) and peak (highest distance covered in a single repetition) distance covered were determined using a measuring tape and the decrement in sprinting performance from the first to the last repetition was calculated. Before and after the RSA test, RPE, FS, and blood [Lac], [CK], [LDH], [CRP], [NEU], [LYM] and [MON] were recorded in both NG and AT conditions. Results: Although physical performance declined during the RSA blocks on both surfaces (p=0.001), the distance covered declined more on NG (15%) compared to AT [11%; p=0.04, ES=-0.34, 95% CI (-1.21, 0.56)] with a higher total distance covered (+6 ± 2%) on AT [p=0.018, ES=1.15, 95% CI (0.16, 2.04)]. In addition, lower RPE [p=0.04, ES=-0.49, 95% CI (-1.36, 0.42)] and blood [Lac], [NEU] and [LYM] [p=0.03; ES=-0.80, 95% CI (-1.67, 0.14); ES=-0.16, 95% CI (-1.03, 0.72) and ES=-0.94, 95% CI (-1.82, 0.02), respectively)] and more positive feelings [p=0.02, ES=0.81, 95%CI (-0.13, 1.69)] were observed following the RSA test performed on AT compared to NG. No differences were observed in the remaining physical and blood markers. Conclusion: These findings suggest that RSA performance is enhanced on AT compared to NG. This effect was accompanied by lower fatigue perception and blood [Lac], [NEU] and [LYM], and a more pleasurable feeling. These observations might have implications for physical performance in intermittent team sports athletes who train and compete on different playing surfaces
Effects of pomegranate juice supplementation on oxidative stress biomarkers following weightlifting exercise
The aim of this study was to test the hypothesis that pomegranate juice supplementation would blunt acute and delayed oxidative stress responses after a weightlifting training session. Nine elite weightlifters (21.0 ±1 years) performed two Olympic-Weightlifting sessions after ingesting either the placebo or pomegranate juice supplements. Venous blood samples were collected at rest and 3 min and 48 h after each session. Compared to the placebo condition, pomegranate juice supplementation
attenuated the increase in malondialdehyde (-12.5%; p < 0.01) and enhanced the enzymatic (+8.6% for catalase and +6.8% for glutathione peroxidase; p < 0.05) and non-enzymatic (+12.6% for uric acid and +5.7% for total bilirubin; p < 0.01) antioxidant responses shortly (3 min) after completion of the training session. Additionally, during the 48 h recovery period, pomegranate juice supplementation accelerated (p < 0.05) the recovery kinetics of the malondialdehyde (5.6%) and the enzymatic antioxidant defenses compared to the placebo condition (9 to 10%). In conclusion, supplementation with pomegranate juice has the potential to attenuate oxidative stress by enhancing antioxidant responses assessed acutely and up to 48 h following an intensive weightlifting training session. Therefore, elite weightlifters might benefit from blunted oxidative stress responses following intensive weightlifting sessions, which could have implications for recovery between training sessions
Anthropometric and physiological parameters for the two groups (mean ± SD).
##<p>: significant difference between young and elderly subjects at p<0.01.</p
Correlation between oxidative stress markers and biomarkers of muscle injury at the recovery period.
<p>*: Significant correlation at p<0.05.</p><p>**: Significant correlation at p<0.01.</p
Ascorbic acid and α-Tocopherol at rest and at the recovery in the young and the elderly subjects.
<p>A = Ascorbic acid, B = α-Tocopherol.</p
CK at rest and at the recovery in the young and the elderly subjects.
<p>**: significant difference between rest and recovery period (p<0.01). #: Significant difference between young and elderly subjects (p<0.05).</p
Mean ± SD for squat jump (SJ) performances recorded at 07:00 h and 17:00 h after the no-stretching, static stretching, and dynamic stretching protocols.
<p>***: significant difference between 07:00 and 17:00 h at p<0.001. +, ++, +++: Significant differences in comparison with NS at p<0.05, p<0.01, and p<0.001 respectively.</p
Mean ± SD for counter-movement jump (CMJ) performances recorded at 07:00 h and 17:00 h after the no-stretching, static stretching, and dynamic stretching protocols.
<p>**, ***: significant difference between 07:00 and 17:00 h at p<0.01 and p<0.001 respectively. +, +++: Significant differences in comparison with NS at p<0.05 and p<0.001 respectively.</p
Mean ± SD for core temperature recorded at 07:00 h and 17:00 h before and after the no-stretching, static stretching, and dynamic stretching sessions.
<p>***: significant difference between 07:00 and 17:00 h at p<0.001. $: Significant differences between before and after each stretching protocol at p<0.001.</p