Elliott-Sale Kirsty J, Birdsey Laurence P, Burden Richard J, Cable Nigel T, Clausen Emma, D'Souza Alysha C, Dos'Santos Thomas, Field Adam, Flood Tessa R, Harris Rachel, McCall Alan, McNulty Kelly L, Ní Chéilleachair Niamh, O'Catháin Ciaran, Phillips Stuart M, Sherwin Glenn, Stebbings Georgina K, Taim Bernadette C, Van Every Derrick W, Więckowska Joanna, Minahan Clare
Department of Sport and Exercise Science, Manchester Metropolitan University Institute of Sport, Manchester, UK.
United Kingdom Sports Institute, Manchester, UK.
BMJ Open Sport Exerc Med. 2024 Dec 9;10(4):e002304. doi: 10.1136/bmjsem-2024-002304. eCollection 2024.
This study aimed to develop a reliable, comprehensive and fit-for-purpose tool for classifying ovarian hormone profiles (OHPs) (step one of a two-step process) in postmenarcheal to perimenopausal female athletes.
The OHP classification tool was designed by a team of sport scientists, practitioners and medics and is intended for use by sport practitioners. It incorporates self-reported data and guides subsequent verification methods. Written feedback was received from practitioners currently working with elite female athletes (n=5), ensuring its applicability in an applied sport setting. In addition, inter-user (n=2) and intra-user (n=30) repeatability was assessed.
All practitioners agreed that the online tool was user-friendly. Four (out of five) practitioners stated they would include the tool in their practice, with the fifth stating that they did not have the capacity to incorporate it in their practice at present. The OHP classification tool showed excellent test-retest reliability with Cronbach's alpha values exceeding 0.9.
This tool facilitates the classification of OHPs and promotes discussions between athletes and practitioners, enhancing understanding and management of ovarian hormone health in sportswomen.
本研究旨在开发一种可靠、全面且适用的工具，用于对初潮后至围绝经期女运动员的卵巢激素谱（OHP）进行分类（这是一个两步过程的第一步）。
OHP分类工具由一组运动科学家、从业者和医务人员设计，供运动从业者使用。它纳入了自我报告的数据并指导后续的验证方法。收到了目前与精英女运动员合作的从业者（n = 5）的书面反馈，确保了其在应用运动环境中的适用性。此外，还评估了用户间（n = 2）和用户内（n = 30）的重复性。
所有从业者都认为该在线工具用户友好。五名从业者中有四名表示他们会在实践中使用该工具，第五名表示他们目前没有能力将其纳入实践。OHP分类工具显示出极好的重测信度，克朗巴哈系数值超过0.9。
该工具有助于OHP的分类，并促进运动员与从业者之间的讨论，增强对女运动员卵巢激素健康的理解和管理。
