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The Sun Herald Sydney City-2-Surf Fun Run – Historical Injury Patterns and Factors Influencing Injury Type and Frequency

Published online by Cambridge University Press:  14 February 2020

John C. Vassil ,
Linda Winn  and
David J. Heslop Open the ORCID record for David J. Heslop [Opens in a new window]
John C. Vassil
Affiliation:
School of Public Health and Community Medicine, UNSWSydney, Australia
Linda Winn
Affiliation:
School of Public Health and Community Medicine, UNSWSydney, Australia NSW Health Emergency Management Unit, NSW Health, Australia
David J. Heslop*
Affiliation:
School of Public Health and Community Medicine, UNSWSydney, Australia
*
Correspondence: Associate Professor David J. Heslop, School of Public Health and Community Medicine, UNSWSydneyNSW2052Australia, E-mail: d.heslop@unsw.edu.au
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Abstract

Introduction:

The Sydney City-2-Surf (Australia) fun run is the world’s largest annual run entered by around 80,000 people. First aid planning at mass-participation running events such as the City-2-Surf is an area in the medical literature that has received little attention. Consequently, first aid planning for these events is based on experience rather than evidence. The models for predicting casualties that currently exist in the literature are either dated or not statistically significant.

Aim:

The aim of this study was to characterize patterns of injuries linked to geographic location across the course of the City-2-Surf, and to explore relationships of injury types with location and meteorological conditions.

Methods:

Records for formally treated casualties and meteorological conditions were obtained for the race years 2010-2016 and statistically analyzed to find associations between meteorological conditions, geographic conditions, casualty types, and location.

Results:

The most common casualties encountered were heat exhaustion or hyperthermia (39.2%), musculoskeletal (25.4%), and physical exhaustion (10.2%). Associations were found between gradient and the location. Type of casualty incidence with the individual distribution trends of casualty types were quite clear. Clusters of musculoskeletal casualties emerged in the parts of the course with the steepest negative gradients, while a cluster of cardiovascular events was found to occur at the top of the “heartbreak hill,” the longest climb of the race. Regression analysis highlighted the linear relationship between the number of heat and physical exhaustion casualties and the apparent temperature (AT) at 12:00pm (R2 = 0.59; P = .044). This linear equation was used to formulate a model to predict these casualties.

Conclusion:

The findings of this study demonstrate the relationship between meteorological conditions, geographic conditions, and casualties. This will assist planners of other similar events to determine optimum allocation of resources to anticipated injury and illness burden.

Keywords

Emergency Medical Servicesepidemiologyrunningwounds and injuries
Type
Original Research
Information
Prehospital and Disaster Medicine , Volume 35 , Issue 2 , April 2020 , pp. 189 - 196
Copyright
© World Association for Disaster and Emergency Medicine 2020

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References

Fairfax Media. Sydney City-2-Surf - Timeline Sydney: Fairfax Media; 2017. http://city2surf.com.au/city2surf-timeline. Accessed June 2019.Google Scholar
Richards, R, Richards, D, Whittaker, R. Method of predicting the number of casualties in the Sydney City-2-Surf fun runs. Med J Aust. 1984;141(12-13):805–808.10.5694/j.1326-5377.1984.tb132955.xCrossRefGoogle Scholar
Pasquina, PF, Griffin, SC, Anderson-Barnes, VC, Tsao, JW, O’Connor, FG. Analysis of injuries from the Army Ten Miler: a 6-year retrospective review. Mil Med. 2013;178(1):55–60.CrossRefGoogle ScholarPubMed
Tan, CM, Tan, IW, Kok, WL, Lee, MC, Lee, VJ. Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore. BMC Public Health. 2014;14(1):1109.10.1186/1471-2458-14-1109CrossRefGoogle ScholarPubMed
Nguyen, RB, Milsten, AM, Cushman, JT. Injury patterns and levels of care at a marathon. Prehosp Disaster Med. 2008;23(6):519–525.10.1017/S1049023X0000635XCrossRefGoogle Scholar
Baird, MB, O’Connor, RE, Williamson, AL, Sojka, B, Alibertis, K, Brady, WJ. The impact of warm weather on mass event medical need: a review of the literature. Am J Emerg Med. 2010;28(2):224–229.10.1016/j.ajem.2008.10.034CrossRefGoogle ScholarPubMed
Arbon, P. Planning medical coverage for mass gatherings in Australia: what we currently know. J Emerg Nurs. 2005;31(4):346–350.10.1016/j.jen.2005.03.002CrossRefGoogle ScholarPubMed
Bowdish, GE, Cordell, WH, Bock, HC, Vukov, LF. Using regression analysis to predict emergency patient volume at the Indianapolis 500-mile race. Ann Emerg Med. 1992;21(10):1200–1203.CrossRefGoogle ScholarPubMed
Perron, AD, Brady, WJ, Custalow, CB, Johnson, DM. Association of heat index and patient volume at a mass gathering event. Prehosp Emerg Care. 2005;9(1):49–52.10.1080/10903120590891976CrossRefGoogle Scholar
Zeitz, KM, Schneider, DP, Jarrett, D, Zeitz, CJ. Mass gathering events: retrospective analysis of patient presentations over seven years. Prehosp Disaster Med. 2002;17(3):147–150.CrossRefGoogle ScholarPubMed
Australian Bureau of Meteorology. Thermal Comfort Observations. Canberra: Australian Bureau of Meteorology; 2010 http://www.bom.gov.au/info/thermal_stress/. Accessed June 2019.Google Scholar
International Standards Organization. ISO-7243: Hot Environments-Estimation of the Heat Stress on Working Man, based on the WBGT-Index (Wet Bulb Globe Temperature). Geneva, Switzerland: International Standards Organization; 2003.Google Scholar
Sports Medicine Australia. Hot Weather Guidelines for Sporting Clubs and Associations and the Physically Active. Mitchell, ACT, Australia: Sports Medicine Australia; 2009.Google Scholar
Fairfax Media. City-2-Surf Participant Demographic Data - Excerpt from Fairfax participant database. Sydney, Australia; 2017.Google Scholar