Mucosal immunity and illness incidence in elite rugby union players across a season.

PURPOSE: To examine the relationship between upper respiratory illness (URI) incidence with changes in mucosal immunity (saliva immunoglobulin A (s-IgA) and saliva lysozyme (s-Lys)) and training load (TL) in a squad of elite rugby union players. METHODS: Timed resting morning saliva samples were taken from players (n = 31) at preselected time points for 11 months. Weekly illness rates and TL were assessed using a Web-based diary and from medical/coaching staff reports. RESULTS: No significant correlation was found between absolute s-IgA or s-Lys concentrations and URI incidence. Peaks in URI (December and March) were preceded by periods of increased training intensity and reduced game activity. In 23% of all URI episodes, players reported that presence of an illness either reduced activity (14.4%) or felt the need to go to bed (8.6%). When s-IgA concentration was expressed relative to that when in a URI-free state, a 15% reduction (P = 0.08) was observed in individuals who had present URI symptoms. Decreases in absolute s-IgA (December) and s-Lys (November and February) concentrations were associated with a corresponding increase in saliva cortisol (P < 0.05). Lower s-IgA (P < 0.05) and s-Lys concentrations were consistently observed in backs than forwards, whereas URI incidence also differed for player position (3.4 forwards vs 4.3 backs). CONCLUSIONS: Regular monitoring of s-IgA and s-Lys may be useful in the assessment of exercise stress and URI risk status in elite team sport athletes. A combination of alterations in training intensity and seasonal influence is a likely contributor to observed peaks in URI incidence. It is probable that stress-induced increases in cortisol release contribute to reductions in mucosal immunity, which, when lowered, predispose rugby players to increased risk of illness.

Illness monitoring in team sports using a Web-based training diary.

OBJECTIVE: Use of Web-based data recording systems has received little attention in sport. An "online" training diary could provide a valuable alternative to pen-paper methods in the regular assessment of physical activity and illness occurrence in athletes. The objective of this study was to design and implement a user-friendly and efficient system to monitor incidences of illness in team sport athletes. DESIGN: Prospective monitoring study over a 48-week rugby season. Players were asked to register presence/absence of weekly illness symptoms with medical staff and also use an online training diary. Submitted self-reported diary illness data were compared with illness complaint data recorded by medical staff. Diary response rates were calculated from the number of completed diary entries against the number of available/required entries over the season. SETTING: Web-based training diary. PARTICIPANTS: Thirty professional rugby union players. INTERVENTION: Comparison of gastrointestinal and upper respiratory illnesses (URIs) reported by players using an online diary and to medical staff. MAIN OUTCOME MEASURES: Incidences of URIs. RESULTS: The diary response rate in the reporting of weekly illnesses was 79% over the study period. Discrepancy existed between the number of self-reported URIs by players using the diary (118 URI incidences) compared with those reported to medical staff (23 URI incidences). Totaling all URI episodes (those self-reported + those registered by medical staff) revealed that players reported just 19% of URI episodes to medical staff. CONCLUSIONS: Players tend to underreport incidences of banal infections. Closer monitoring of self-reported illnesses using a similar system in the present study may provide a better alternative to previous methods in nonclinical illness assessment.

An evaluation of the physiological demands of elite rugby union using Global Positioning System tracking software.

The current case study attempted to document the contemporary demands of elite rugby union. Players (n = 2) were tracked continuously during a competitive team selection game using Global Positioning System (GPS) software. Data revealed that players covered on average 6,953 m during play (83 minutes). Of this distance, 37% (2,800 m) was spent standing and walking, 27% (1,900 m) jogging, 10% (700 m) cruising, 14% (990 m) striding, 5% (320 m) high-intensity running, and 6% (420 m) sprinting. Greater running distances were observed for both players (6.7% back; 10% forward) in the second half of the game. Positional data revealed that the back performed a greater number of sprints (>20 km x h(-1)) than the forward (34 vs. 19) during the game. Conversely, the forward entered the lower speed zone (6-12 km x h(-1)) on a greater number of occasions than the back (315 vs. 229) but spent less time standing and walking (66.5 vs. 77.8%). Players were found to perform 87 moderate-intensity runs (>14 km x h(-1)) covering an average distance of 19.7 m (SD = 14.6). Average distances of 15.3 m (back) and 17.3 m (forward) were recorded for each sprint burst (>20 km x h(-1)), respectively. Players exercised at approximately 80 to 85% VO2max during the course of the game with a mean heart rate of 172 b x min(-1) ( approximately 88% HRmax). This corresponded to an estimated energy expenditure of 6.9 and 8.2 MJ, back and forward, respectively. The current study provides insight into the intense and physical nature of elite rugby using "on the field" assessment of physical exertion. Future use of this technology may help practitioners in design and implementation of individual position-specific training programs with appropriate management of player exercise load.