Search Results

You are looking at 1 - 10 of 22 items for :

  • "blood metabolites" x
Clear All
Restricted access

Andreas Apostolidis, Vassilis Mougios, Ilias Smilios, Johanna Rodosthenous and Marios Hadjicharalambous

oxidation 1.4 (0.5) g·min −1 . Blood Metabolites Plasma glucose (Figure  3A ) exhibited significant treatment ( F 1,18  = 12.78; P  = .002) and time ( F 3,60  = 13.17, P  < .001) main effects, and an interaction between treatment and time ( F 2,45  = 5.01; P  = .007). Plasma glucose was higher with

Restricted access

Hui Ying Wu, Jui Hung Tu, Chin Hsing Hsu and Te Hung Tsao

The effect of low-impact dance on blood metabolites, the joint range of motion (ROM) of the lower extremities, knee extension torque, bone mass density (BMD), the number of falls, and the confidence to perform daily activities (Modified Falls Efficacy Scale [MFES]) was examined in older sedentary women (age: 59 ± 4 years) before and after a 16-week intervention. Results showed that the average score for the MFES, some parameters of blood chemistry, and joint ROM were significantly improved after low-impact intervention. In addition to improvements in blood lipids and body fat percentages, the increases shown in the parameters regarding the lower extremities may contribute to confidence in performing common daily activities in older women, although the number of falls did not significantly differ between the two groups during the 16-week period.

Restricted access

Anthony Couderc, Claire Thomas, Mathieu Lacome, Julien Piscione, Julien Robineau, Rémi Delfour-Peyrethon, Rachel Borne and Christine Hanon

Purpose:

To investigate the running demands and associated metabolic perturbations during an official rugby sevens tournament.

Methods:

Twelve elite players participated in 7 matches wearing GPS units. Maximal sprinting speed (MSS) and maximal aerobic speed (MAS) were measured. High-intensity threshold was individualized relative to MAS (>100% of MAS), and very-high-intensity distance was reported relative to both MAS and MSS. Blood samples were taken at rest and after each match.

Results:

Comparison of prematch and postmatch samples revealed significant (P < .01) changes in pH (7.41–7.25), bicarbonate concentration ([HCO3]) (24.8–13.6 mmol/L), and lactate concentration ([La]) (2.4–11.9 mmol/L). Mean relative total distance covered was 91 ± 13 m/min with ~17 m/min at high-intensity. Player status (whole-match or interchanged players), match time, and total distance covered had no significant impact on metabolic indices. Relative distance covered at high intensity was negatively correlated with pH and [HCO3] (r = .44 and r = .42, respectively; P < .01) and positively correlated with [La] (r = .36; P < .01). Total distance covered and distance covered at very high intensity during the 1-min peak activity in the last 3 min of play were correlated with [La] (r = .39 and r = .39, respectively; P < .01).

Conclusions:

Significant alterations in blood-metabolite indices from prematch to postmatch sampling suggest that players were required to tolerate a substantial level of acidosis related to metabolite accumulation. In addition, the ability to produce energy via the glycolytic energy pathway seems to be a major determinant in match-related running performance.

Restricted access

Harry E. Routledge, Jill J. Leckey, Matt J. Lee, Andrew Garnham, Stuart Graham, Darren Burgess, Louise M. Burke, Robert M. Erskine, Graeme L. Close and James P. Morton

match play: effects of pre-game carbohydrate . J Sci Med Sport . 2016 ; 19 ( 12 ): 1033 – 1038 . PubMed ID: 27134132 doi:10.1016/j.jsams.2016.03.008 10.1016/j.jsams.2016.03.008 27134132 7. Krustrup P , Mohr M , Steensberg A , Bencke J , Kjaer M , Bangsbo J . Muscle and blood

Restricted access

Manuel D. Quinones and Peter W.R. Lemon

. Statistical Analysis Statistical analyses were performed using SigmaPlot for Windows (version 12.0, SYSTAT, San Jose, CA). All data were tested for normality and a nonparametric test (analysis of variance on ranks test) was used if a data set was not normally distributed. Blood metabolite concentrations and

Restricted access

Edward A. Gray, Thomas A. Green, James A. Betts and Javier T. Gonzalez

displayed as dashed lines or open circles, respectively. Blood metabolites During recovery, blood glucose concentrations increased to a peak at ∼60 min before decreasing to baseline concentrations (time effect, p  < .01), with no differences between trials during recovery or during the exercise capacity

Restricted access

Blair Crewther, Konrad Witek, Paweł Draga, Piotr Zmijewski and Zbigniew Obmiński

unusual symptoms immediately after the DAA block or between treatments. One study conducted a full clinical analysis of blood metabolites in men taking DAA (2.66 g/day) for 90 days, including TC, TG, urea, AST, and ALT ( D’Aniello et al., 2012 ). All parameters were apparently within a normal

Restricted access

Kristin L. Jonvik, Jan-Willem van Dijk, Joan M.G. Senden, Luc J.C. van Loon and Lex B. Verdijk

. , Kjaer , M. , & Bangsbo , J. ( 2006 ). Muscle and blood metabolites during a soccer game: Implications for sprint performance . Medicine & Science in Sports & Exercise, 38 ( 6 ), 1165 – 1174 . PubMed ID: 16775559 doi:10.1249/01.mss.0000222845.89262.cd 10.1249/01.mss.0000222845.89262.cd

Restricted access

Achraf Ammar, Stephen J. Bailey, Omar Hammouda, Khaled Trabelsi, Nabil Merzigui, Kais El Abed, Tarak Driss, Anita Hökelmann, Fatma Ayadi, Hamdi Chtourou, Adnen Gharbi and Mouna Turki

JA , Jimenez-Reyes P , Cuadrado-Penafiel V , Lozano E , Ortega-Becerra M , Párraga J . Relationships between repeated sprint ability, mechanical parameters, and blood metabolites in professional soccer players . J Strength Cond Res . 2015 ; 29 ( 6 ): 1673 – 1682 . PubMed ID

Restricted access

Peter Ibbott, Nick Ball, Marijke Welvaert and Kevin G. Thompson

. Izquierdo M , González-Izal M , Navarro-Amezqueta I , et al . Effects of strength training on muscle fatigue mapping from surface EMG and blood metabolites . Med Sci Sports Exerc . 2011 ; 43 ( 2 ): 303 – 311 . PubMed ID: 20581711 doi:10.1249/MSS.0b013e3181edfa96 10.1249/MSS.0b013e3181edfa96