{"title":"Don’t go chasing waterfalls: Multiple factor prediction of injuries in a performance context","authors":"Melanie I. Stuckey, Dean Kriellaars","doi":"10.1016/j.jsampl.2025.100097","DOIUrl":null,"url":null,"abstract":"<div><div>Injury surveillance informs risk management strategies for athletes and performing artists yet the predictive value of multiple factors is understudied. This study analyzed demographic, sleep, fatigue, body composition, symmetry/proportionality, and psychological data from a cohort of circus arts students to predict injury presence and duration using regression models. Demographics alone significantly predicted injury presence (R<sup>2</sup> = 0.344) and duration (R<sup>2</sup> = 0.247). Additional factors explained 1.5–9.0 % of variation for injury presence and 0.0–7.8 % for duration. These findings inform the development of holistic risk management strategies for performing artists and athletes and cautions against chasing single predictor variables.</div></div>","PeriodicalId":74029,"journal":{"name":"JSAMS plus","volume":"5 ","pages":"Article 100097"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JSAMS plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772696725000110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Injury surveillance informs risk management strategies for athletes and performing artists yet the predictive value of multiple factors is understudied. This study analyzed demographic, sleep, fatigue, body composition, symmetry/proportionality, and psychological data from a cohort of circus arts students to predict injury presence and duration using regression models. Demographics alone significantly predicted injury presence (R2 = 0.344) and duration (R2 = 0.247). Additional factors explained 1.5–9.0 % of variation for injury presence and 0.0–7.8 % for duration. These findings inform the development of holistic risk management strategies for performing artists and athletes and cautions against chasing single predictor variables.
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