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dc.contributor.authorDrew, Michael K
dc.contributor.authorVlahovich, Nicole
dc.contributor.authorHughes, David
dc.contributor.authorAppaneal, Renee
dc.contributor.authorPeterson, Kirsten
dc.contributor.authorBurke, Louise
dc.contributor.authorLundy, Bronwen
dc.contributor.authorToomey, Mary
dc.contributor.authorWatts, David
dc.contributor.authorLovell, Gregory
dc.contributor.authorPraet, Stephan
dc.contributor.authorHalson, Shona
dc.contributor.authorColbey, Candice
dc.contributor.authorManzanero, Silvia
dc.contributor.authorWelvaert, Marijke
dc.contributor.authorWest, Nic
dc.contributor.authorPyne, David B
dc.contributor.authorWaddington, Gordon
dc.description.abstractObjectives: 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.
dc.relation.ispartofjournalJournal of Science and Medicine in Sport
dc.subject.fieldofresearchHuman Movement and Sports Science not elsewhere classified
dc.subject.fieldofresearchHuman Movement and Sports Sciences
dc.subject.fieldofresearchPublic Health and Health Services
dc.titleA multifactorial evaluation of illness risk factors in athletes preparing for the Summer Olympic Games
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.hasfulltextNo Full Text
gro.griffith.authorWest, Nic P.
gro.griffith.authorColbey, Candice M.
gro.griffith.authorPyne, David B.

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