Purpose: To examine association and prediction of load-based markers (rate of perceived exertion) with non-contact injuries.Materials and methods: Thirty-four elite Italian football players (age 26 5 y, height 182 5 cm, body mass 78 +/- 4 kg) participated in a 3-seasons prospective study. Markers examined were: RPE, exposure, weekly load, week-to-week load change, cumulative 2, 3, 4 WL, acute:chronic 1:2 (acute:chronic2), 1:3 (acute:chronic3) and 1:4 (acute:chronic4) WL ratios. After checking multicollinearity between markers, a Generalized Estimating Equation analysis was used to examine association with a non-contact injury in the subsequent week. The associated markers were split into four groups based on 15th, 50th, 85th percentile to compare injury risk (IR) in different zones. Prediction was examined with receiver operating characteristic curve, area under the curve (AUC) and Youden index.Results: IR increased when acute:chronic2 of 1.00-1.20, >1.20 were compared to <0.81 (odds ratio (OR), 90% confidence interval (CI): 1.6, 0.79-3.29; 2.2, 1.03-4.74). IR increased when comparing acute:chronic3 of 1.01-1.23, >1.23 vs. <0.80 (OR, 90% CI: 1.9, 0.9-3.8; 2.5, 1.2-5.4). IR increased when comparing acute:chronic4 of 0.78-1.02, 1.02-1.26, >1.26 vs. <0.78 (OR, 90% CI: 2.4, 1.4-3.9; 3.3, 1.6-6.6; 3.5, 1.7-7.4). The AUC 0.60 for all markers and Youden Index (close to 0) showed poor prediction.Conclusion: Acute:chronic markers showed association however with poor prediction ability.

Despite association, the acute:chronic work load ratio does not predict non-contact injury in elite footballers

Fanchini, Maurizio;McCall, Alan
2018-01-01

Abstract

Purpose: To examine association and prediction of load-based markers (rate of perceived exertion) with non-contact injuries.Materials and methods: Thirty-four elite Italian football players (age 26 5 y, height 182 5 cm, body mass 78 +/- 4 kg) participated in a 3-seasons prospective study. Markers examined were: RPE, exposure, weekly load, week-to-week load change, cumulative 2, 3, 4 WL, acute:chronic 1:2 (acute:chronic2), 1:3 (acute:chronic3) and 1:4 (acute:chronic4) WL ratios. After checking multicollinearity between markers, a Generalized Estimating Equation analysis was used to examine association with a non-contact injury in the subsequent week. The associated markers were split into four groups based on 15th, 50th, 85th percentile to compare injury risk (IR) in different zones. Prediction was examined with receiver operating characteristic curve, area under the curve (AUC) and Youden index.Results: IR increased when acute:chronic2 of 1.00-1.20, >1.20 were compared to <0.81 (odds ratio (OR), 90% confidence interval (CI): 1.6, 0.79-3.29; 2.2, 1.03-4.74). IR increased when comparing acute:chronic3 of 1.01-1.23, >1.23 vs. <0.80 (OR, 90% CI: 1.9, 0.9-3.8; 2.5, 1.2-5.4). IR increased when comparing acute:chronic4 of 0.78-1.02, 1.02-1.26, >1.26 vs. <0.78 (OR, 90% CI: 2.4, 1.4-3.9; 3.3, 1.6-6.6; 3.5, 1.7-7.4). The AUC 0.60 for all markers and Youden Index (close to 0) showed poor prediction.Conclusion: Acute:chronic markers showed association however with poor prediction ability.
2018
Team sport
soccer
injury prevention
training load
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1143957
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