Cargando…
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records
BACKGROUND: In elite football, periodic health examination (PHE) may be useful for injury risk prediction. OBJECTIVE: To explore whether PHE-derived variables are prognostic factors for indirect muscle injuries (IMIs) in elite players. DESIGN: Retrospective cohort study. SETTING: An English Premier...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884927/ https://www.ncbi.nlm.nih.gov/pubmed/36693686 http://dx.doi.org/10.1136/bmjopen-2021-052772 |
_version_ | 1784879817245589504 |
---|---|
author | Hughes, Tom Riley, Richard Callaghan, Michael J Sergeant, Jamie C |
author_facet | Hughes, Tom Riley, Richard Callaghan, Michael J Sergeant, Jamie C |
author_sort | Hughes, Tom |
collection | PubMed |
description | BACKGROUND: In elite football, periodic health examination (PHE) may be useful for injury risk prediction. OBJECTIVE: To explore whether PHE-derived variables are prognostic factors for indirect muscle injuries (IMIs) in elite players. DESIGN: Retrospective cohort study. SETTING: An English Premier League football club. PARTICIPANTS: 134 outfield elite male players, over 5 seasons (1 July 2013–19 May 2018). OUTCOME AND ANALYSIS: The outcome was any time-loss, lower extremity index IMI (I-IMI). Prognostic associations were estimated using odds ratios (ORs) and corresponding statistical significance for 36 variables, derived from univariable and multivariable logistic regression models. Missing data were handled using multiple imputation. Non-linear associations were explored using fractional polynomials. RESULTS: During 317 participant-seasons, 138 I-IMIs were recorded. Univariable associations were determined for previous calf IMI frequency (OR 1.80, 95% CI 1.09 to 2.97), hamstring IMI frequency (OR 1.56, 95% CI 1.17 to 2.09), if the most recent hamstring IMI occurred >12 months but <3 years prior to PHE (OR 2.95, 95% CI 1.51 to 5.73) and age (OR 1.12 per 1-year increase, 95% CI 1.06 to 1.18). Multivariable analyses showed that if a player’s most recent previous hamstring IMI was >12 months but <3 years prior to PHE (OR 2.24, 95% CI 1.11 to 4.53), this was the only variable with added prognostic value over and above age, which was a confirmed prognostic factor (OR 1.12 per 1-year increase, 95% CI 1.05 to 1.18). Allowing non-linear associations conferred no advantage over linear associations. CONCLUSION: PHE has limited use for injury risk prediction. Most variables did not add prognostic value over and above age, other than if a player experienced a hamstring IMI >12 months but <3 years prior to PHE. However, the precision of this prognostic association should be confirmed in future. TRIAL REGISTRATION NUMBER: NCT03782389. |
format | Online Article Text |
id | pubmed-9884927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-98849272023-01-31 Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records Hughes, Tom Riley, Richard Callaghan, Michael J Sergeant, Jamie C BMJ Open Sports and Exercise Medicine BACKGROUND: In elite football, periodic health examination (PHE) may be useful for injury risk prediction. OBJECTIVE: To explore whether PHE-derived variables are prognostic factors for indirect muscle injuries (IMIs) in elite players. DESIGN: Retrospective cohort study. SETTING: An English Premier League football club. PARTICIPANTS: 134 outfield elite male players, over 5 seasons (1 July 2013–19 May 2018). OUTCOME AND ANALYSIS: The outcome was any time-loss, lower extremity index IMI (I-IMI). Prognostic associations were estimated using odds ratios (ORs) and corresponding statistical significance for 36 variables, derived from univariable and multivariable logistic regression models. Missing data were handled using multiple imputation. Non-linear associations were explored using fractional polynomials. RESULTS: During 317 participant-seasons, 138 I-IMIs were recorded. Univariable associations were determined for previous calf IMI frequency (OR 1.80, 95% CI 1.09 to 2.97), hamstring IMI frequency (OR 1.56, 95% CI 1.17 to 2.09), if the most recent hamstring IMI occurred >12 months but <3 years prior to PHE (OR 2.95, 95% CI 1.51 to 5.73) and age (OR 1.12 per 1-year increase, 95% CI 1.06 to 1.18). Multivariable analyses showed that if a player’s most recent previous hamstring IMI was >12 months but <3 years prior to PHE (OR 2.24, 95% CI 1.11 to 4.53), this was the only variable with added prognostic value over and above age, which was a confirmed prognostic factor (OR 1.12 per 1-year increase, 95% CI 1.05 to 1.18). Allowing non-linear associations conferred no advantage over linear associations. CONCLUSION: PHE has limited use for injury risk prediction. Most variables did not add prognostic value over and above age, other than if a player experienced a hamstring IMI >12 months but <3 years prior to PHE. However, the precision of this prognostic association should be confirmed in future. TRIAL REGISTRATION NUMBER: NCT03782389. BMJ Publishing Group 2023-01-24 /pmc/articles/PMC9884927/ /pubmed/36693686 http://dx.doi.org/10.1136/bmjopen-2021-052772 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Sports and Exercise Medicine Hughes, Tom Riley, Richard Callaghan, Michael J Sergeant, Jamie C Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title | Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title_full | Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title_fullStr | Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title_full_unstemmed | Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title_short | Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records |
title_sort | can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? an exploratory analysis using routinely collected periodic health examination records |
topic | Sports and Exercise Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884927/ https://www.ncbi.nlm.nih.gov/pubmed/36693686 http://dx.doi.org/10.1136/bmjopen-2021-052772 |
work_keys_str_mv | AT hughestom canprognosticfactorsforindirectmuscleinjuriesinelitefootballsoccerplayersbeidentifiedusingdatafrompreseasonscreeninganexploratoryanalysisusingroutinelycollectedperiodichealthexaminationrecords AT rileyrichard canprognosticfactorsforindirectmuscleinjuriesinelitefootballsoccerplayersbeidentifiedusingdatafrompreseasonscreeninganexploratoryanalysisusingroutinelycollectedperiodichealthexaminationrecords AT callaghanmichaelj canprognosticfactorsforindirectmuscleinjuriesinelitefootballsoccerplayersbeidentifiedusingdatafrompreseasonscreeninganexploratoryanalysisusingroutinelycollectedperiodichealthexaminationrecords AT sergeantjamiec canprognosticfactorsforindirectmuscleinjuriesinelitefootballsoccerplayersbeidentifiedusingdatafrompreseasonscreeninganexploratoryanalysisusingroutinelycollectedperiodichealthexaminationrecords |