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Détail de l'auteur
Auteur Ellen Shanley
Documents disponibles écrits par cet auteur
Ajouter le résultat dans votre panier Affiner la rechercheCurrent rehabilitation applications for shoulder ultrasound imaging / Lane Bailey in Journal of Orthopaedic & Sports Physical Therapy, vol.45, 5 (Mai 2015)
[article]
in Journal of Orthopaedic & Sports Physical Therapy > vol.45, 5 (Mai 2015) . - 394-405
Titre : Current rehabilitation applications for shoulder ultrasound imaging Type de document : article de périodique Auteurs : Lane Bailey, Auteur ; Paul Beattie, Auteur ; Ellen Shanley, Auteur Article en page(s) : 394-405 Descripteurs (mots clés) : [Thésaurus Mesh]:C:Conflit sous-acromial:Conflit sous-acromial / rééducation et réadaptation
[Thésaurus Mesh]ÉchographiePermalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité Périodique Erasme - périodiques Périodiques Disponible Including Modifiable and Nonmodifiable Factors Improves Injury Risk Assessment in Professional Baseball Pitchers / Ellen Shanley in Journal of Orthopaedic & Sports Physical Therapy, Vol. 52, 9 (septembre 2022)
[article]
in Journal of Orthopaedic & Sports Physical Therapy > Vol. 52, 9 (septembre 2022) . - p. 630-640
Titre : Including Modifiable and Nonmodifiable Factors Improves Injury Risk Assessment in Professional Baseball Pitchers Type de document : article de périodique Auteurs : Ellen Shanley ; [et al.] Année de publication : 2022 Article en page(s) : p. 630-640 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus HELB]:Paramédical:Validation (méthode)
[Thésaurus Mesh]Facteurs de risque
[Thésaurus Mesh]HumérusRésumé : Objectives
To (1) evaluate an injury risk model that included modifiable and nonmodifiable factors into an arm injury risk prediction model in Minor League Baseball (MiLB) pitchers and (2) compare model performance separately for predicting the incidence of elbow and shoulder injuries.
Design Prospective cohort.
Methods
A 10-year MiLB injury risk study was conducted. Pitchers were evaluated during preseason, and pitches and arm injuries were documented prospectively. Nonmodifiable variables included arm injury history, professional experience, arm dominance, year, and humeral torsion. Modifiable variables included BMI, pitch count, total range of motion, and horizontal adduction. We compared modifiable, nonmodifiable, and combined model performance by R2, calibration (best = 1.00), and discrimination (area under the curve [AUC]; higher number is better). Sensitivity analysis included only arm injuries sustained in the first 90 days.
Results
In this study, 407 MiLB pitchers (141 arm injuries) were included. Arm injury incidence was 0.27 injuries per 1000 pitches. The arm injury model (calibration 1.05 [0.81–1.30]; AUC: 0.74 [0.69–0.80]) had improved performance compared to only using modifiable predictors (calibration: 0.91 [0.68–1.14]; AUC: 0.67 [0.62–0.73]) and only shoulder range of motion (calibration: 0.52 [0.29, 0.75]; AUC: 0.52 [0.46, 58]). Elbow injury model demonstrated improved performance (calibration: 1.03 [0.76–1.33]; AUC: 0.76 [0.69–0.83]) compared to the shoulder injury model (calibration: 0.46 [0.22–0.69]; AUC: 0.62 [95% CI: 0.55, 0.69]). The sensitivity analysis demonstrated improved model performance compared to the arm injury model.
Conclusion
Arm injury risk is influenced by modifiable and nonmodifiable risk factors. The most accurate way to identify professional pitchers who are at risk for arm injury is to use a model that includes modifiable and nonmodifiable risk factors.Permalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité JOU Périodique Erasme - périodiques Périodiques Disponible Subsequent Musculoskeletal Injury Incidence Are Similar Between General Infection and COVID-19 Among High School Athletes in the Unites States Despite Higher Illness Incidence During Academic Years 2019–2020 and 2020–2021 / Ellen Shanley in Journal of Orthopaedic & Sports Physical Therapy, vol.52, 08 (Aout 2022)
[article]
in Journal of Orthopaedic & Sports Physical Therapy > vol.52, 08 (Aout 2022) . - p. 546-553
Titre : Subsequent Musculoskeletal Injury Incidence Are Similar Between General Infection and COVID-19 Among High School Athletes in the Unites States Despite Higher Illness Incidence During Academic Years 2019–2020 and 2020–2021 Type de document : article de périodique Auteurs : Ellen Shanley ; [et al.], Auteur Année de publication : 2022 Article en page(s) : p. 546-553 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus Mesh]Coronavirus
[Thésaurus Mesh]COVID-19
[Thésaurus HELB]:Paramédical:retour au sportRésumé : Objectives
To describe overall illness and COVID-19- specific illness in high school athletes in the 2019–2020 and 2020–2021 academic school years, and to describe and assess the risk of musculoskeletal injury following general infection and after COVID-19.
Design
Ecological study.
Methods
High schools (6 states; 176 high schools) were matched between the 2019–2020 and 2020–2021 academic school years, based on 2020–2021 high school sport participation. Illness and injury data were collected from the high school athletic trainers. Illness was stratified by overall illness, general infection, and COVID-19. Injuries following moderate or severe infections or COVID-19 were recorded. Illness and injury incidence rate per 100 athletes per year, with 95% confidence intervals (95% CIs), were calculated. Negative binomial models comparing injury following general infections and COVID-19 infections were calculated.
Results
A total of 98 487 and 72 521 athletes participated in the 2019–2020 and 2020–2021 years. Illness incidence rate was less in the 2019–2020 academic school year [0.30 (95% CI: 0.27, 0.34)] than the 2020–2021 academic school year [1.1 (1.0–1.2)], resulting in a difference of 0.8 (95% CI: 0.7, 0.9). COVID-19 incidence rate was 0.52 (0.47–0.58) in the 2020–2021 year. Injury following general infection incidence rate was 27.9 injuries (21.4–34.5) per 100 athletes in 2019–2020, and 22.5 injuries (19.3–25.7) per 100 athletes in 2020–2021. There was no difference in injury risk following general infection and COVID-19 [rate ratio: 1.2 (95% CI: 0.7, 2.4)].
Conclusions
The incidence rate for all illnesses in high school athletes was slightly (0.8) greater in the 2020–2021 academic compared to the 2019–2020 year. Most of the incidence increase was due to infections and COVID-19. Subsequent injury incidence following moderate and severe infections were similar between years and between general infections and COVID-19.Permalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité J Périodique Erasme - périodiques Périodiques Disponible