Medical Emergencies During a Half Marathon Race – The Influence of Weather

Author:

Carlström Eric12,Borjesson Mats3,Palm Gunnar4,Khorram-Manesh Amir5,Lindberg Fredrik4,Holmer Björn4,Berner Andreas6,Örninge Per6,Luning Hampus7,Nilson Finn8,Gelang Carita6,Thorsson Sofia4

Affiliation:

1. Health and Care Sciences, Sahlgrenska Academy, Gothenburg, Sweden

2. School of Business, Campus Vestfold, University of South-Eastern Norway, Kongsberg, Norway

3. Clinical Experimental Research Laboratory, Sahlgrenska University Hospital/Ostra, Gothenburg, Sweden

4. Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden

5. Sahlgrenska Universitetssjukhuset, University of Gothenburg, Goteborg, Sweden

6. Unit for EMS-coordination, Provider Governance and coordination, Head Office, Region Västra Götaland, Gothenburg, Sweden

7. Department of Food, Nutrition and Sport Science and Sahlgrenska University Hospital/Östra, University of Gothenburg, Gothenburg, Sweden

8. Department of Life and Environmental Sciences, Karlstads Universitet, Karlstad, Sweden

Abstract

AbstractThe aim was to analyze the influence of weather conditions on medical emergencies in a half-marathon, specifically by evaluating its relation to the number of non-finishers, ambulance-required assistances, and collapses in need of ambulance as well as looking at the location of such emergencies on the race course. Seven years of data from the world’s largest half marathon were used. Meteorological data were obtained from a nearby weather station, and the Physiological Equivalent Temperature (PET) index was used as a measure of general weather conditions. Of the 315,919 race starters, 104 runners out of the 140 ambulance-required assistances needed ambulance services due to collapses. Maximum air temperature and PET significantly co-variated with ambulance-required assistances, collapses, and non-finishers (R2=0.65–0.92; p=0.001–0.03). When air temperatures vary between 15–29°C, an increase of 1°C results in an increase of 2.5 (0.008/1000) ambulance-required assistances, 2.5 (0.008/1000) collapses (needing ambulance services), and 107 (0.34/1000) non-finishers. The results also indicate that when the daily maximum PET varies between 18–35°C, an increase of 1°C PET results in an increase of 1.8 collapses (0.006/1000) needing ambulance services and 66 non-finishers (0.21/1000).

Publisher

Georg Thieme Verlag KG

Subject

Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation

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2. Pacing Patterns of Half-Marathon Runners: An analysis of ten years of results from Gothenburg Half Marathon;International Journal of Computer Science in Sport;2023-03-01

3. Machine Learning of Pacing Patterns for Half Marathon;13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport;2023

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5. Risk factors for not finishing an ultramarathon: 4-year study in 23,996 race starters, SAFER XXI;The Journal of Sports Medicine and Physical Fitness;2022-04

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