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Bradford Factor and seasonal injury risk in Division I-A collegiate American footballers

Bradford Factor and seasonal injury risk in Division I-A collegiate American footballers Purpose: To investigate if participation in a higher percentage of preseason sessions affects the injury profile within Division I-A American Collegiate and whether the Bradford Factor (BF) is viable for practitioner use.Methods: A retrospective research design was used. Training load and injury data were collected and analysed for two collegiate American football seasons for 70 players.Results: A total of 184 injuries were sustained across two seasons with 106 resulting in time loss (15.6 ± 5.4 time loss injuries per 1000 h). On average, athletes completed 93 ± 17% of preseason sessions. For injury likelihood in the following week, an increase in accumulated minutes in 7d increased the injury risk by 35%. For non-contact time-loss injuries, preseason completion showed a reduction in injury likelihood of 2% for additional 3 sessions completed. A high BF in preseason (>7) increases the risk compared to a low BF through the in-season period.Conclusion: Preseason completion was not associated with a substantial reduction in injury risk in-season. A clear difference in BF between groups was evident and may provide a practical “flagging” variable. The BF may provide a simple but practically meaningful measure to monitor adaptation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Science and Medicine in Football Taylor & Francis

Bradford Factor and seasonal injury risk in Division I-A collegiate American footballers

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Bradford Factor and seasonal injury risk in Division I-A collegiate American footballers

Abstract

Purpose: To investigate if participation in a higher percentage of preseason sessions affects the injury profile within Division I-A American Collegiate and whether the Bradford Factor (BF) is viable for practitioner use.Methods: A retrospective research design was used. Training load and injury data were collected and analysed for two collegiate American football seasons for 70 players.Results: A total of 184 injuries were sustained across two seasons with 106 resulting in time loss...
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Publisher
Taylor & Francis
Copyright
© 2018 Informa UK Limited, trading as Taylor & Francis Group
ISSN
2473-4446
eISSN
2473-3938
DOI
10.1080/24733938.2018.1452284
Publisher site
See Article on Publisher Site

Abstract

Purpose: To investigate if participation in a higher percentage of preseason sessions affects the injury profile within Division I-A American Collegiate and whether the Bradford Factor (BF) is viable for practitioner use.Methods: A retrospective research design was used. Training load and injury data were collected and analysed for two collegiate American football seasons for 70 players.Results: A total of 184 injuries were sustained across two seasons with 106 resulting in time loss (15.6 ± 5.4 time loss injuries per 1000 h). On average, athletes completed 93 ± 17% of preseason sessions. For injury likelihood in the following week, an increase in accumulated minutes in 7d increased the injury risk by 35%. For non-contact time-loss injuries, preseason completion showed a reduction in injury likelihood of 2% for additional 3 sessions completed. A high BF in preseason (>7) increases the risk compared to a low BF through the in-season period.Conclusion: Preseason completion was not associated with a substantial reduction in injury risk in-season. A clear difference in BF between groups was evident and may provide a practical “flagging” variable. The BF may provide a simple but practically meaningful measure to monitor adaptation.

Journal

Science and Medicine in Football – Taylor & Francis

Published: Jul 3, 2018

Keywords: Player load; trainability; injury risk

References

  • Monitoring training volume: the importance of training volume in the early pre-season phase in Australian rules football
  • Pre-season workload volume and high risk periods for non-contact injury across multiple Australian Football League (AFL) seasons
  • A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value
  • The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players
  • Playing experience and position influence injury risk among NCAA Division I collegiate footballers
  • Managing the training load in adolescent athletes
  • Full-contact practice and injuries in college football
  • A comparison of pre-season and in-season practice and game loads in NCAA Division I football players
  • Training load – injury paradox: is greater preseason participation associated with lower in-season injury risk in elite rugby league players?