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Abstract Details

Abstract Title

Training load, salivary immunoglobulin A and illness incidence in elite paratriathletes: a longitudinal study

Abstract Theme

Elite performance

Type Presentation


Abstract Authors

Presenter Ben Thomas Stephenson - Loughborough University (School of Sport, Exercise & Health Sciences) - GB
Eleanor Hynes - University of Kent (School of Sport & Exercise Sciences) - GB
Christof Leicht - Loughborough University (School of Sport, Exercise & Health Sciences) - GB
Victoria L Goosey-Tolfrey - Loughborough University (School of Sport, Exercise & Health Sciences) - GB

Presentation Details

Poster Exhibition Site (Local): White - 19        Date: 1 September        Time: 8am to 7pm        Presenter: Ben Stephenson

Abstract Resume

Associations between training load and salivary secretory immunoglobulin A (sIgA) and upper respiratory symptoms (URS) have been demonstrated in a range of sports. High training loads are generally
related to lower sIgA concentration and secretion rate, consequently increasing the likelihood of URS. To date these relationships have not been investigated in paratriathlon, a variant of triathlon
modified for individuals with physical impairments. The aim of this study was to monitor paratriathletes’ training load and sIgA measures and investigate their effects on URS risk.

Weekly saliva samples were collected from ten elite paratriathletes over 23 consecutive weeks for measurement of sIgA. Occurrences of self-reported URS and training load were also recorded on a weekly
basis. Salivary measures were subsequently compared to URS and athletes’ individual weekly training load.

No significant relationship existed between athletes’ training load and sIgA concentration or secretion rate (P ≥ 0.625). In 65% of URS cases athletes reported their training to be affected. There was
no correlation between sIgA measures and URS incidence, and no differences in IgA measures between weeks preceding URS and weeks preceding no URS (P ≥ 0.510).

In contrast to existing literature outlining a relationship between depressions in sIgA and high training loads no relationships were found in the current study, and sIgA levels could not predict URS
incidence. As such it is not possible to identify paratriathletes at risk of URS based on their training load or sIgA.

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