Match analysis The activity profile (specific measures of this profile are described later in this section) of each match was determined by filming the matches with two video cameras (DCR-HC17E, Sony©, Japan) positioned
2 meters away from the side of the court, at the level with the service line and approximately 6 meters above the court. Each player was individually ‘tracked’ to record for the activity profile measures for the entire duration of each match. The video recordings were replayed on a monitor to measure each player’s activity profile in detail. The same researcher performed the video analysis of each player’s activity profile. PI3K Inhibitor Library screening A modified match analysis protocol developed by Smekal et al. was used to extract the following information
as variables of a tennis match to comprise the activity profile: 1. games won; 2. rally duration (seconds); 3. strokes per rally; 4. effective playing time (%); 5. aces; 6. double faults; 7. first service in; 8. second service in; 9. first return in and 10. second return in. The validity and reliability of this protocol has been previously described in the literature . Match analysis included (1) rally duration (s); (2) strokes per rally; (3) effective playing time (%). Rally duration was recorded from the time the service player served the first ball until the moment when one of the players won the point. Strokes per rally were Mocetinostat ic50 quantified as the number of balls hit by the players from the first Adenosine serve in to the end of the point. Therefore, for rally duration and strokes per rally, the time for first serve faults, as well as the stroke for the serve fault, and the time between first and second service were excluded from the analysis. Effective playing time was defined as the real playing time (sum of all the rally durations) divided by the total match duration multiplied by 100, as described by Fernandez-Fernandez et al. . Blood glucose
Glycemia was determined from a blood sample drawn from the ear lobe and analyzed in the Accu-Chek© monitor (Accu-Chek Active, Roche©, Germany). This method of analysis is in accordance with a previous study, which categorized this monitor as “clinically accurate” . Blood samples were drawn while the players were seated prior to and immediately after the matches. The glycemia test-retest had a coefficient of variation (CV) of 3.1%. Statistical analyses All variables were checked for normal distribution and extreme observations using standard procedures. Blood glucose level was analysed using linear mixed models having condition (i.e. CHO and PLA) and time (i.e. Pre and Post) as fixed factors and subjects as a random factor.