Predicting Self-Reported Illness for Professional Team-Sport Athletes

Thornton, Heidi R.; Delaney, Jace A.; Duthie, Grant M.; Scott, Brendan R.; Chivers, William; Sanctuary, Colin; Dascombe, Ben J.

doi:10.1123/ijspp.2015-0330

Cited by 35 publications

(35 citation statements)

References 23 publications

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“…Based on the results of the current study an increase of this amount in weekly or monthly TL would be accompanied by an increased illness risk of 50% and 54%, respectively. This is similar to studies in adult athletes which identified increased illness risk during times of increased weekly TL,26 28 29 31 and a recent systematic review which found a similar relationship in the majority of included studies of adult athletes 9. Our findings are also consistent with the only prior study of TL and illness in youth athletes of which we are aware found that increased training duration was associated with illness risk 24.…”

Section: Discussionsupporting

confidence: 90%

“…In adult athletes, it has been suggested that higher volumes of exercise and impaired well-being may be associated with an increased susceptibility to viral infections 25–27. Illness in adult athletes from multiple sports has been associated with increased weekly TLs in some studies,26 28–30 but not others 31 32. However, there is a paucity of research in this area on youth athletes.…”

Section: Introductionmentioning

confidence: 99%

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Subjective well-being and training load predict in-season injury and illness risk in female youth soccer players

et al. 2016

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Subjective well-being and training load predict in-season injury and illness risk in female youth soccer players

et al. 2016

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“…70 In elite crosscountry skiers, training monotony, reflecting little change in training load, was associated with a lower risk of illness, 3 but this was not confirmed in another 29-week prospective study in 32 rugby league players, where training monotony, together with overall increased internal load and load strain were all associated with an increased risk for self-reported illness. 79 In summary, there is some evidence that changes in external (increased volume and intensity of training) and internal training loads are associated with an increased risk of illness. However, given the current data it is not yet possible to quantify which amount of training load increase is related to increased risk of a specific illness, or in a specific sport.…”

Section: Evidence Relating Changes In Training Load and The Risk Of Imentioning

confidence: 99%

How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness

et al. 2016

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The modern-day athlete participating in elite sports is exposed to high training loads and increasingly saturated competition calendar. Emerging evidence indicates that inappropriate load management is a significant risk factor for acute illness and the overtraining syndrome. The IOC convened an expert group to review the scientific evidence for the relationship of load—including rapid changes in training and competition load, competition calendar congestion, psychological load and travel—and health outcomes in sport. This paper summarises the results linking load to risk of illness and overtraining in athletes, and provides athletes, coaches and support staff with practical guidelines for appropriate load management to reduce the risk of illness and overtraining in sport. These include guidelines for prescription of training and competition load, as well as for monitoring of training, competition and psychological load, athlete well-being and illness. In the process, urgent research priorities were identified.

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“…21,23,25 Further importance of ASRM and relationship with injury/illness has been observed in Rugby League, in this study fluctuations in ASRM between macrocycles were shown to provide useful insights into possible illness risk in players. 26 Further work is required to examine the relationships between ASRM and injury/illness risk in team-sport athletes.…”

Section: Athlete Self-report Measuresmentioning

confidence: 99%

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

Thorpe¹,

Atkinson²,

Drust³

et al. 2017

International Journal of Sports Physiology and Performance

221

229

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The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners to the monitoring of adaptation and fatigue in athletes. Monitoring fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury, and illness risk. Traditional methods used to quantify recovery and fatigue in team sports, such as maximal physical-performance assessments, may not be feasible to detect variations in fatigue status throughout competitive periods. Faster, simpler, and nonexhaustive tests such as athlete self-report measures, autonomic nervous system response via heart-rate-derived indices, and to a lesser extent, jump protocols may serve as promising tools to quantify and establish fatigue status in elite team-sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference, but these have been rarely adopted by sport scientists and practitioners. The implementation of appropriate, reliable, and sensitive measures of fatigue can provide important information to key stakeholders in team-sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury, and illness.Keywords: training, performance, wellness, recovery, injury, illness Elite team-sport athletes, particularly those in the professional football codes, are exposed to high competition loads, particularly in recent years. These high loads reflect a number of factors, including an increased frequency of domestic competitions, particularly for higher-level athletes, as well as a higher intensity of competition due to enhanced player preparation strategies. 1 Higher loads may also result from the increased demands of international competition during both the domestic season and the off-season period.An increased availability of athletes for selection, as a result of a reduction in injuries, substantially increases a team's chance of success. 2 Therefore, injury prevention strategies are fundamental to the work of the athlete's support team. Routine modifications in training load (frequency, duration, intensity) occur during the training cycle and these subsequently increase or decrease fatigue. Management of fatigue is important in mediating adaption to training and ensuring the athlete is prepared for competition, 3 as well as for reducing the athletes' susceptibility to nonfunctional overreaching, injury, and illness. 4 The importance of managing athlete fatigue has led to an increase in interest in monitoring athlete loads, particularly in terms of the measures which may offer insights into whether the athlete is adapting positively or negatively to the collective stresses of training and competition. In the pr...

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Predicting Self-Reported Illness for Professional Team-Sport Athletes

Cited by 35 publications

References 23 publications

Subjective well-being and training load predict in-season injury and illness risk in female youth soccer players

Subjective well-being and training load predict in-season injury and illness risk in female youth soccer players

How much is too much? (Part 2) International Olympic Committee consensus statement on load in sport and risk of illness

Monitoring Fatigue Status in Elite Team-Sport Athletes: Implications for Practice

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