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Sport science and medicine practitioners are interested in the relationships between training load, injury, and illness. The extent to which training preparedness is associated with workload‐related injury and illness risk is debated. Therefore, this study applied multi‐level mixed effect logistic regression to investigate time‐dependent (±7‐ and ±28‐day) relationships between training preparedness (fatigue, mood, motivation, soreness, stress, sleep duration, and quality), training load, injury, and illness in 536 elite and pre‐elite female netball athletes. Absolute risk (AR ± 95% CI) of sustaining an injury (0.98 ± 0.06%, n = 1122 injuries, N = 254 athletes) or illness (1.09 ± 0.10%, n = 2881, N = 432 athletes) was calculated. All training preparedness variables combined resulted in an absolute risk of 0.88%‐5.88% and 0.87%‐20% for injury and illness, respectively. Injury and illness had significant (P <.05) bidirectional (ie, both increased and decreased) associations with physical (soreness) and physiological (sleep duration and quality), while illness also had negative (mood, motivation) and positive (stress) associations with psychological training preparedness variables. Low sleep duration in the 48‐h period prior was associated (P =.005) with increased injury risk (OR = 0.91 ± 0.03; AR = 4.00%), while "very poor" sleep quality (OR = 0.59 ± 0.02; AR = 7.83%) or extremes of too little (<5 hours, OR = 1.01 ± 0.03; AR = 3.13%‐14.29%) and too much (>10 hours, OR = 1.01 ± 0.03; AR = 2.61%‐10.98%) sleep had bidirectional associations (P <.001) with an increased illness risk. Changes in training preparedness variables demonstrated bidirectional associations with injury and illness. These outcomes suggest that sport science and medicine practitioners should monitor sleep, physical, and psychological recovery status, to aid early detection and intervention regarding injury and illness symptomology. [ABSTRACT FROM AUTHOR]

Purpose: Habitual intense exercise may increase the incidence of upper respiratory symptoms (URS) in elite athletes. This study investigated whether immune gene expression could identify gene markers that discriminate athletes with a higher prevalence of URS. Methods: This cross-sectional analysis of elite Australian athletes from various sports investigated whether athletes retrospectively reporting URS for two days or more in a month (n=38), had an altered immune gene expression profile compared with asymptomatic athletes (n=33). Peripheral blood samples were collected during Olympic selection events with corresponding URS data collected for the one-month period before sampling. Digital immune gene expression analysis was undertaken using the NanoString PanCancer Immune Profiling panel. Results: Fifty immune genes were differentially expressed between the groups (p<0.05) and approximately 78% of these genes were more highly expressed in athletes reporting URS. Many of these genes were interferon-stimulated genes or genes involved in the Jak/Stat signalling pathway. Only interferon alpha inducible protein 27 (IFI27), an interferon stimulated gene involved in viral response, remained significantly higher in athletes reporting URS (log2 fold-difference=2.49, odds ratio 1.02 per unit increase; p<0.01) post-adjustment and discriminated athletes reporting URS from asymptomatic athletes with 78% accuracy. Conclusion: Expression of IFI27 could differentiate athletes reporting URS from asymptomatic athletes, a gene that is upregulated in the immune response to viral infection. Upregulation of viral signalling pathways provides novel information on the potential aetiology of URS in elite Olympic athletes. [ABSTRACT FROM AUTHOR]

To investigate: (1) the injury epidemiology in an Australian academy; (2) how athletes transition through the high-performance sport (HPS) pathway; and (3) why athletes leave this HPS program. This retrospective cohort study was conducted at an Australian HPS academy over a 4-year period. Medical attention injuries were prospectively recorded. Injury incidence rates (IIR) and burden were calculated per 365 athlete-days, according to sport, sex, and pathway level. Athlete pathway levels were mapped to the Foundations, Talent, Elite, and Mastery (FTEM) framework. Reasons for athletes transitioning out were reported. Four hundred and eighty-one injuries were reported across 124 athletes at an IIR of 2.09 injuries per 365 athlete-days (95% CI = 1.91-2.29). Most athletes (103, 83.1%) were injured at least once over the 4-year period. IIRs increased (IRR = 1.17, 95% CI = 1.06-1.29, p = 0.001) as athletes progressed through the pathway. The most common reason for athlete attrition was deselection due to performance (n = 18), with 55.6% of these athletes sustaining an injury in the season prior to deselection. Injury burden was highest at E2 (119.5 days absence per 365 athlete-days (95% CI = 62.18-229.67)) and lowest at T4 (30.47 days absence per 365 athlete-days (95% CI = 21.98-42.24)). Injury occurrence is common across HPS, with IIRs increasing as athletes progressed to higher talent levels. Deselection due to poor performance was the main attrition factor, with more than half the deselected athletes impacted by injury prior to deselection. This study highlights an increased risk of deselection, following injury, and indicates the need for further development of prevention strategies targeting pathway athletes., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)