Individual Study / Hulin et al.; Br J Sports Med. 2016

Low Chronic Workload and the Acute:chronic Workload Ratio Are More Predictive of Injury Than Between-Match Recovery Time: A Two-Season Prospective Cohort Study in Elite Rugby League Players

Low Chronic Workload and the Acute:chronic Workload Ratio Are More Predictive of Injury Than Between-Match Recovery Time: A Two-Season Prospective Cohort Study in Elite Rugby League Players

Initiatives -
Between-match recovery time, and acute and chronic workloads likely affect subsequent match injury risk in elite rugby league players. 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
2016
Funding
Technical or equipment support for this study was not provided by any outside companies, manufacturers or organisations. BTH was funded by a postgraduate research scholarship supported by the University of Wollongong and the St. George Illawarra Dragons Rugby League Football Club.

Design

Study design
Population cohort

Marker Paper

Hulin BT, Gabbett TJ, Caputi P, Lawson DW, Sampson JA. Low chronic workload and the acute:chronic workload ratio are more predictive of injury than between-match recovery time: a two-season prospective cohort study in elite rugby league players. Br J Sports Med. 2016;50(16):1008‐1012. doi:10.1136/bjsports-2015-095364

PUBMED 26851288

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
28
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Population

Workloads of 28 players throughout two seasons were calculated during short (<7 days), and long (≥7 days) between-match recovery times. ‘Acute’ workloads (1 week) greater than ‘chronic’ workloads (4-week rolling average acute workload) resulted in acute: chronic workload ratios above 1.
Selection Criteria
Newborns
Twins
Countries
  • Australia
Ethnic Origin
Health Status

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
28
Number of participants with biosamples
Data Collection Event
Start Date
2016
End Date
2016
Data sources
  • Geospatial technology
    • Global navigation satellite systems (GNSS) (e.g. GPS, GLONASS, Galileo, etc.)