Do five screening tools identify the same number of runners who require pre-exercise medical clearance? SAFER XXXIV
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Date
Authors
Smith, Chanel
Sewry, Nicola Ann
Nolte, Kim
Swanevelder, Sonja
Engelke, Nina
Van Kamp, Calvin
Jordaan, Esme
Schwellnus, Martin Peter
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis
Abstract
OBJECTIVES : Currently, there are five international screening tools that are recommended to identify individuals who require pre-exercise medical clearance to reduce the risk of medical encounters during exercise. Therefore, the aim was to determine the percentage of race entrants who are advised to obtain pre-exercise medical clearance and the observed agreement between these five different international pre-exercise medical screening tools.
METHODS : In all, 76,654 race entrants from the Two Oceans Marathon (2012–2015) that completed an online pre-race screening questionnaire. Five pre-exercise medical screening tools (American Heart Association (AHA), pre-2015 American College of Sport Medicine (ACSM), post-2015 ACSM, Physical Activity Readiness Questionnaire (PAR-Q), and the European Association of Cardiovascular Prevention and Rehabilitation (EACPR)) were retrospectively applied to all participants. The % (95%CI) race entrants requiring medical clearance identified by each tool and the observed agreement between tools (%) was determined.
RESULTS : The % entrants requiring medical clearance varied from 6.7% to 33.9% between the five tools: EACPR (33.9%; 33.5–34.3); pre-2015 ACSM (33.9%; 33.5–34.3); PAR-Q (23.2%; 22.9–23.6); AHA (10.0%; 9.7–10.2); post-2015 ACSM (6.7%; 6.5–6.9). The observed agreement was highest between the pre-2015 ACSM and EACPR (35.4%), for pre-2015 ACSM and PAR-Q (24.8%), PAR-Q and EACPR (24.8%), and lowest between the post-2015 ACSM and AHA (4.1%).
CONCLUSION : The percentage of race entrants identified to seek medical clearance (and observed agreement) varied considerably between pre-exercise medical screening tools. Further research should determine which tool has the best predictive ability in identifying those at higher risk of medical encounters during exercise.
Description
Keywords
Pre-exercise medical screening, Pre-exercise medical clearance, Endurance athletes, Medical encounters (MEs), SDG-03: Good health and well-being
Sustainable Development Goals
SDG-03:Good heatlh and well-being
Citation
Smith, C., Sewry, N., Nolte, K., et al. 2024, 'Do five screening tools identify the same number of runners who require pre-exercise medical clearance? SAFER XXXIV', Physician and Sportsmedicine, vol. 52, no. 1, pp. 77-83, doi : 10.1080/00913847.2023.2176161.