Illness in athletes and how to avoid them Flashcards
Explain the relevance of the J shaped model (Neiman 1994)
High intensity exercise is associated with an above average number of colds per year
What was the finding of Neiman et al 1990 study into illness in marathon runners
1 week after running the LA marathon, runners were 6 times more likely to experience a control than controls
positive correlation between OR of having URTI and km/week of training
What were the findings of Bury et al 1998 in a study into illness in footballers
77% of illness was during the cold season which is also when there is fixture congestion
players had more coughs and colds which also lasted longer vs playing staff
Outline the reasons why athletes have an increased exposure to pathogens
Increased rate of lung ventilation
Breath through mouth so bypass protective processes in nose
skin abrasions in certain sports
foreign travel so newly encountered pathogens
long haul flights with re-circulated air
crowds with new pathogens
team showers so pathogens in warm enviroment
Why do city marathon runners have an increased risk of becoming ill vs other athletes
increased pollution in the air
pollutants decrease the immune response in the lungs
Give reasons why athletes may be immune supressed
Physiological and psychological stress
enviromental stress e.g temperature
Inadequate diet (too much protein not enough carbs)
lack of sleep
What are the acute effects of exercise on the immune system and what is the implication of this
Elevated leukocyte count, but supressed function
elevated count means less are available later if needed
Need to allow adequate recovery time so leukocyte function can be restored, otherwise chronically supressed
What are the chronic effects of exercise on the immune system
Lower resting leukocyte count
decreased leukocyte function
supressed antibody function (IgA)
What is the importance of salivary IgA in relation to URTI
Low levels or poor salivary flow rates are associated with increased incidence of URTI
What were the findings of Gleeson 1999 in relation to salivary IgA
Inverse association between resting amount of salivary IgA and number of infections
Results demonstrated a substantial contribution for one aspect of the immune system alone
What were the findings of Engles and Fahlman 2005 when comparing American college Footballers and non-playing controls
controls = relativly constant IgA levels
Footballers = fall in IgA in autumn and spring which is also when training hardest and had most matches
Dip in IgA coincided with peak of infections with >50% having infection at this time
Explain the methods of Neville et al 2008
Found each athletes average natural level of IgA
then took IgA sample each week to find % of average IgA
documented when athlete had an infection
What were the findings of Neville et al 2008
low IgA = more colds
before a cold, levels of IgA were falling
40% fall in IgA = 50% chance of cold
How can the findings of Neville et al 2008 be used
Coaches can see when athlete IgA is falling and then implment stratergies or alter training load to decrease chance of infection developing
What is the limitation of trying to reduce transmission of pathogens as a way of decreasing infections
No always the easiest to implement in day to day work during sport