德尔菲法
德尔菲
运动员
应用心理学
心理学
医学教育
适应(眼睛)
医学
计算机科学
物理疗法
操作系统
人工智能
神经科学
作者
Sven Schneider,Marlen Niederberger,Luke Kurowski,Luisa Bade
标识
DOI:10.1016/j.jsams.2023.11.002
摘要
Objectives To systematically develop an adaptation model to reduce climate change-related health risks for outdoor athletes. Design Delphi Method study. Methods A classic asynchronous Delphi study was conducted with a total of three survey rounds. 24 experts from the eight largest outdoor sports associations by membership in the German Olympic Sports Confederation were included as well as 24 medical experts with expertise in sports medicine, internal medicine, allergology, dermatology, infectiology, or toxicology. Based on open-ended questions, panelists were asked to consider prevention measures for sports organizations and clubs. Free text responses were analyzed by qualitative content analysis according to Mayring. Results Experts recommended establishing the following eight fields of prevention measures: technical and structural measures; organizational measures; personalized measures; basic, advanced, and continuing education; concepts of action, warning concepts, and financial concepts; cooperation and coordination; campaigns; and evaluation measures. Conclusions The pyramid model presented in this study systematizes possible sport specific adaptation measures on climate change by empirical aggregation of knowledge from scientists, sports organizations, clubs, trainers, and professional athletes. To assess the effectiveness of these prevention measures, sports organizations may incorporate them not only into broader operations but also everyday training routines.
科研通智能强力驱动
Strongly Powered by AbleSci AI