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Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. / Evans, Seren; Whittaker, Gareth; Davis, Oran Elphinstone et al.
Yn: Journal of Strength and Conditioning Research, Cyfrol 37, Rhif 7, 07.2023, t. 1456-1462.

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Evans S, Whittaker G, Davis OE, Jones E, Hardy J, Owen J. Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. Journal of Strength and Conditioning Research. 2023 Gor;37(7):1456-1462. Epub 2022 Tach 23. doi: 10.1519/JSC.0000000000004402

Author

Evans, Seren ; Whittaker, Gareth ; Davis, Oran Elphinstone et al. / Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. Yn: Journal of Strength and Conditioning Research. 2023 ; Cyfrol 37, Rhif 7. tt. 1456-1462.

RIS

TY - JOUR

T1 - Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons

AU - Evans, Seren

AU - Whittaker, Gareth

AU - Davis, Oran Elphinstone

AU - Jones, Eleri

AU - Hardy, James

AU - Owen, Julian

PY - 2023/7

Y1 - 2023/7

N2 - Evans, SL, Whittaker, G, Elphinstone Davis, E, Jones, ES, Hardy, J, and Owen, JA. Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. J Strength Cond Res 37(7): 1456–1462, 2023—This study examined the distribution of noncontact injury during phases of the competitive season and the association between preseason training load (TL) and nonmodifiable risk factors on injury risk during these phases. Injury data were recorded from 1 senior academy team over 3 seasons (2017–2020) and analyzed across early-season, midseason, and late-season phases. A generalized estimating equation was used to model risk factors with noncontact injury for selected phases. The highest noncontact injury incidence occurred in the late-season phase (22.2 per 1,000 hours) compared with early (13.7 per 1,000 hours, p < 0.001) and midseason phases (15.5 per 1,000 hours, p = 0.001). Low preseason TL (8,949–12,589 arbitrary units; odds ratio [OR], 95% confidence interval [CI] = 4.7, 1.0–21.6; p = 0.04) and low preseason TL combined with high early-season TL and injury in the early-season phase (OR, 95% CI = 6.5, 1.1–35.5; p = 0.03) were associated with greater midseason noncontact injury risk. In addition, low preseason TL combined with previous injury was associated with increased risk of noncontact injury risk in the late season (OR, 95% CI = 12.2, 0.9–15.6, p = 0.05). Our results suggest players are at a greater injury risk during the late-season phase, with low preseason cumulative loads combined with a history of previous injury associated with increased in-season injury risk. Strength and conditioning coaches should therefore monitor cumulative preseason TL alongside screening for previous injury history to identify athletes at greater risk of noncontact injury risk during the competitive season.

AB - Evans, SL, Whittaker, G, Elphinstone Davis, E, Jones, ES, Hardy, J, and Owen, JA. Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. J Strength Cond Res 37(7): 1456–1462, 2023—This study examined the distribution of noncontact injury during phases of the competitive season and the association between preseason training load (TL) and nonmodifiable risk factors on injury risk during these phases. Injury data were recorded from 1 senior academy team over 3 seasons (2017–2020) and analyzed across early-season, midseason, and late-season phases. A generalized estimating equation was used to model risk factors with noncontact injury for selected phases. The highest noncontact injury incidence occurred in the late-season phase (22.2 per 1,000 hours) compared with early (13.7 per 1,000 hours, p < 0.001) and midseason phases (15.5 per 1,000 hours, p = 0.001). Low preseason TL (8,949–12,589 arbitrary units; odds ratio [OR], 95% confidence interval [CI] = 4.7, 1.0–21.6; p = 0.04) and low preseason TL combined with high early-season TL and injury in the early-season phase (OR, 95% CI = 6.5, 1.1–35.5; p = 0.03) were associated with greater midseason noncontact injury risk. In addition, low preseason TL combined with previous injury was associated with increased risk of noncontact injury risk in the late season (OR, 95% CI = 12.2, 0.9–15.6, p = 0.05). Our results suggest players are at a greater injury risk during the late-season phase, with low preseason cumulative loads combined with a history of previous injury associated with increased in-season injury risk. Strength and conditioning coaches should therefore monitor cumulative preseason TL alongside screening for previous injury history to identify athletes at greater risk of noncontact injury risk during the competitive season.

KW - General Medicine

KW - Orthopedics and Sports Medicine

KW - Physical Therapy, Sports Therapy and Rehabilitation

U2 - 10.1519/JSC.0000000000004402

DO - 10.1519/JSC.0000000000004402

M3 - Article

VL - 37

SP - 1456

EP - 1462

JO - Journal of Strength and Conditioning Research

JF - Journal of Strength and Conditioning Research

SN - 1064-8011

IS - 7

ER -