A multifactorial evaluation of illness risk factors in athletes preparing for the Summer Olympic Games
Author(s)
Drew, Michael K
Vlahovich, Nicole
Hughes, David
Appaneal, Renee
Peterson, Kirsten
Burke, Louise
Lundy, Bronwen
Toomey, Mary
Watts, David
Lovell, Gregory
Praet, Stephan
Halson, Shona
Colbey, Candice
Manzanero, Silvia
Welvaert, Marijke
West, Nic
Pyne, David B
Waddington, Gordon
Griffith University Author(s)
Year published
2017
Metadata
Show full item recordAbstract
Objectives: Illness can disrupt training and competition performance of athletes. Few studies have quantified the relative contribution of the known medical, behavioural and lifestyle risk factors. Design: Cross-sectional. Methods: Olympic athletes from 11 sports (n = 221) were invited to complete questionnaires administered ninemonths before theRio 2016 Olympic Games. These includedthe Depression,Anxiety andStress Questionnaire (DASS-21), Perceived Stress Scale (PSS), Dispositional Resilience Scale (DRS), Recovery-Stress Questionnaire (REST-Q-52 item), Low Energy in Females Questionnaire (LEAF-Q), a modified Personal and ...
View more >Objectives: Illness can disrupt training and competition performance of athletes. Few studies have quantified the relative contribution of the known medical, behavioural and lifestyle risk factors. Design: Cross-sectional. Methods: Olympic athletes from 11 sports (n = 221) were invited to complete questionnaires administered ninemonths before theRio 2016 Olympic Games. These includedthe Depression,Anxiety andStress Questionnaire (DASS-21), Perceived Stress Scale (PSS), Dispositional Resilience Scale (DRS), Recovery-Stress Questionnaire (REST-Q-52 item), Low Energy in Females Questionnaire (LEAF-Q), a modified Personal and Household Hygiene questionnaire, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, and custommade questionnaires on probiotic usage and travel.An illness (case) was defined as an event which limited training or competition for greater hours in the prior month. Odds ratios and attributable fractions in the population (AFP) were utilised for categorical variables with independent t-tests or Wilcoxon rank-sum for continuous variables. Results: Eighty-one athletes responded (male, n = 26; female, n = 55). There were 16 illness cases and 65 controls. Female athletes were at higher odds of illness (OR = 9.4, 95%CI 1.3–410, p = 0.01, AFP = 0.84). Low energy availability (LEAF-Q score ≥8: OR = 7.4, 95%CI 0.78–352, p = 0.04,AFP = 0.76), depression symptoms (DASS-21: depression score >4, OR = 8.4, 95%CI 1.1–59, p < 0.01; AFP = 0.39) and higher perceived stress (PSS: 10-item, p = 0.04) were significantly associated with illness. Conclusions: Female sex, low energy availability, and mental health are associated with sports incapacity (time loss) due to illness. Low energy availability had high attributable fractions in the population and stands out as a primary association with illness.
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View more >Objectives: Illness can disrupt training and competition performance of athletes. Few studies have quantified the relative contribution of the known medical, behavioural and lifestyle risk factors. Design: Cross-sectional. Methods: Olympic athletes from 11 sports (n = 221) were invited to complete questionnaires administered ninemonths before theRio 2016 Olympic Games. These includedthe Depression,Anxiety andStress Questionnaire (DASS-21), Perceived Stress Scale (PSS), Dispositional Resilience Scale (DRS), Recovery-Stress Questionnaire (REST-Q-52 item), Low Energy in Females Questionnaire (LEAF-Q), a modified Personal and Household Hygiene questionnaire, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, and custommade questionnaires on probiotic usage and travel.An illness (case) was defined as an event which limited training or competition for greater hours in the prior month. Odds ratios and attributable fractions in the population (AFP) were utilised for categorical variables with independent t-tests or Wilcoxon rank-sum for continuous variables. Results: Eighty-one athletes responded (male, n = 26; female, n = 55). There were 16 illness cases and 65 controls. Female athletes were at higher odds of illness (OR = 9.4, 95%CI 1.3–410, p = 0.01, AFP = 0.84). Low energy availability (LEAF-Q score ≥8: OR = 7.4, 95%CI 0.78–352, p = 0.04,AFP = 0.76), depression symptoms (DASS-21: depression score >4, OR = 8.4, 95%CI 1.1–59, p < 0.01; AFP = 0.39) and higher perceived stress (PSS: 10-item, p = 0.04) were significantly associated with illness. Conclusions: Female sex, low energy availability, and mental health are associated with sports incapacity (time loss) due to illness. Low energy availability had high attributable fractions in the population and stands out as a primary association with illness.
View less >
Journal Title
Journal of Science and Medicine in Sport
Note
This publication has been entered into Griffith Research Online as an Advanced Online Version.
Subject
Sports science and exercise
Sports science and exercise not elsewhere classified
Medical physiology
Health services and systems
Public health