Individual Study / Malone et al.; J Sci Med Sport. 2017

High Chronic Training Loads and Exposure to Bouts of Maximal Velocity Running Reduce Injury Risk in Elite Gaelic Football

High Chronic Training Loads and Exposure to Bouts of Maximal Velocity Running Reduce Injury Risk in Elite Gaelic Football

Initiatives -
To examine the relationship between chronic training loads, number of exposures to maximal velocity, the distance covered at maximal velocity, percentage of maximal velocity in training and match-play and subsequent injury risk in elite Gaelic footballers. Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
Start Year
2017
End Year
2017

Design

Study design
Population cohort

Marker Paper

Malone S, Roe M, Doran DA, Gabbett TJ, Collins K. High chronic training loads and exposure to bouts of maximal velocity running reduce injury risk in elite Gaelic football. J Sci Med Sport. 2017;20(3):250‐254. doi:10.1016/j.jsams.2016.08.005

PUBMED 27554923

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
37
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Population

Thirty-seven elite Gaelic footballers from one elite squad were involved in a one-season study.
Selection Criteria
Gender
men
Newborns
Twins
Countries
  • Ireland
Ethnic Origin
Health Status

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
37
Number of participants with biosamples
Data Collection Event
Training and game loads (session-RPE multiplied by duration in min) were recorded in conjunction with external match and training loads (using global positioning system technology) to measure the distance covered at maximal velocity, relative maximal velocity and the number of player exposures to maximal velocity across weekly periods during the season.
Start Date
2017
End Date
2017
Data sources
  • Geospatial technology
    • Global navigation satellite systems (GNSS) (e.g. GPS, GLONASS, Galileo, etc.)