scholarly journals 061 Average race day environmental data underestimates individual athlete environmental exposure in a mass-participation endurance cycling event with a staggered start: a SAFER study in 97946 cyclists

2021 ◽  
Author(s):  
Sonja Swanevelder ◽  
Martin Schwellnus ◽  
Nicola Sewry ◽  
Esme Jordaan
Keyword(s):  
Environmental Exposure ◽  
Environmental Data ◽  
Endurance Cycling ◽  
Cycling Event ◽  
Mass Participation

An Analysis of Patient Presentations at a 2-Day Mass-participation Cycling Event: The Ride to Conquer Cancer Case Series, 2010-2012

2014 ◽  
Vol 29 (4) ◽  
pp. 429-436 ◽  
Author(s):  
Adam Lund ◽  
Sheila A. Turris ◽  
Peter Wang ◽  
Justin Mui ◽  
Kerrie Lewis ◽  
...  
Keyword(s):  
Case Series ◽  
Weather Conditions ◽  
Cancer Case ◽  
Medical Support ◽  
Publication Type ◽  
Long Distance ◽  
Cross Border ◽  
Case Series Report ◽  
Cycling Event ◽  
Mass Participation

AbstractObjectiveTo analyze the unique factors involved in providing medical support for a long-distance, cross-border, cycling event, and to describe patient presentations and event characteristics for the British Columbia (BC) Ride to Conquer Cancer from 2010 through 2012.MethodsThis study was a 3-year, descriptive case series report. Medical encounters were documented, prospectively, from 2010-2012 using an online registry. Data for event-related variables also were reported.ResultsProviding medical support for participants during the 2-day ride was complicated by communication challenges, weather conditions, and cross-border issues. The total number of participants for the ride increased from 2,252 in 2010 to 2,879 in 2011, and 3,011 in 2012. Patient presentation rates (PPRs) of 125.66, 155.26, and 198.93 (per 1,000 participants) were documented from 2010 through 2012. Over the course of three years, and not included in the PPR, an additional 3,840 encounters for “self-treatment” were documented.ConclusionsThe Ride to Conquer Cancer Series has shown that medical coverage at multi-day, cross-national cycling events must be planned carefully to face a unique set of circumstances, including legislative issues, long-distance communication capabilities, and highly mobile participants. This combination of factors leads to potentially higher PPRs than have been reported for noncycling events. This study also illuminates the additional workload “self-treatment” visits place on the medical team.LundA, TurrisSA, WangP, MuiJ, LewisK, GutmanSJ. An analysis of patient presentations at a 2-day mass-participation cycling event: The Ride to Conquer Cancer Case Series, 2010-2012. Prehosp Disaster Med. 2014;29(4):1-8.

Combining monitoring data and computer model output in assessing environmental exposure

2018 ◽  
Author(s):  
Samantha Low Choy ◽  
Justine Murray ◽  
Allan James ◽  
Kerrie Mengersen
Keyword(s):  
Environmental Exposure ◽  
Computer Model ◽  
Wet Deposition ◽  
Weather Prediction ◽  
Forecast Model ◽  
Environmental Data ◽  
Process Models ◽  
Monitoring Data ◽  
Eastern United States ◽  
Fusion Methods

This article discusses an approach that combines monitoring data and computer model outputs for environmental exposure assessment. It describes the application of Bayesian data fusion methods using spatial Gaussian process models in studies of weekly wet deposition data for 2001 from 120 sites monitored by the US National Atmospheric Deposition Program (NADP) in the eastern United States. The article first provides an overview of environmental computer models, with a focus on the CMAQ (Community Multi-Scale Air Quality) Eta forecast model, before considering some algorithmic and pseudo-statistical approaches in weather prediction. It then reviews current state of the art fusion methods for environmental data analysis and introduces a non-dynamic downscaling approach. The static version of the dynamic spatial model is used to analyse the NADP weekly wet deposition data.

scholarly journals Medical Encounters, Cardiac Arrests and Deaths During a 109km Mass-Participation Cycling Event Involving 102251 Starters

2019 ◽  
Vol 51 (Supplement) ◽  
pp. 286
Author(s):  
Jannelene Killops ◽  
Martin Schwellnus ◽  
Dina Janse Van Rensburg ◽  
Sonja Swanevelder ◽  
Esme Jordaan
Keyword(s):  
Cycling Event ◽  
Mass Participation

Effect of Caffeine on Perceived Soreness and Functionality Following an Endurance Cycling Event

2017 ◽  
Vol 31 (3) ◽  
pp. 638-643 ◽  
Author(s):  
Aaron R. Caldwell ◽  
Matthew A. Tucker ◽  
Cory L. Butts ◽  
Brendon P. McDermott ◽  
Jakob L. Vingren ◽  
...  
Keyword(s):  
Endurance Cycling ◽  
Cycling Event

Effect of Caffeine on Recovery from an Endurance Cycling Event

2016 ◽  
Vol 48 ◽  
pp. 64
Author(s):  
Aaron Caldwell ◽  
Matthew A. Tucker ◽  
Cory L. Butts ◽  
Brendon P. McDermott ◽  
Jakob L. Vingren ◽  
...  
Keyword(s):  
Endurance Cycling ◽  
Cycling Event

Medical encounters, cardiac arrests and deaths during a 109 km community-based mass-participation cycling event: a 3-year study in 102 251 race starters—SAFER IX

2019 ◽  
Vol 54 (10) ◽  
pp. 605-611 ◽  
Author(s):  
Jannelene Killops ◽  
Martin Schwellnus ◽  
Dina Christina Janse van Rensburg ◽  
Sonja Swanevelder ◽  
Esme Jordaan
Keyword(s):  
Sudden Cardiac Arrest ◽  
Cross Sectional Study ◽  
Incidence Rates ◽  
Community Based ◽  
International Consensus ◽  
Cross Sectional ◽  
Life Threatening ◽  
Cycling Event ◽  
Few Data ◽  
Mass Participation

BackgroundThere are few data on medical encounters, including deaths during mass-participation cycling events.ObjectiveTo determine the incidence and nature of medical encounters during a community-based mass-participation cycling event.DesignCross-sectional study across three annual events.Setting2012–2014 Cape Town Cycle Tour (109 km), South Africa.Participants102 251 race starters (male=80 354, female=21 897).MethodsMedical encounters (moderate, serious life-threatening, sudden cardiac arrest/death), using the 2019 international consensus definitions, were recorded on race day for 3 years as incidence rates (IR per 1000 starters; 95% CI). Overall illness-related (by organ system) or injury-related (by anatomical region) encounters, and severity were recorded.ResultsWe recorded 539 medical encounters (IR 5.3; 4.8 to 5.7). The IR was 3.2 for injuries (2.9 to 3.6), 2.1 for illnesses (1.0 to 2.4) and 0.5 for serious life-threatening medical encounters (0.4 to 0.7). In the 3-year study, we encountered three cardiac arrests and one death (2.9 and 1.0 per 100 000 starters, respectively). Injury IRs included upper limb (1.9; 1.6 to 2.1), lower limb (1.0; 0.8 to 1.0) and head/neck (0.8; 0.6 to 1.0). Illness IRs included fluid/electrolyte abnormalities (0.6; 0.5 to 0.8) and the cardiovascular system (0.5; 0.4 to 0.6).ConclusionIn a 109 km community-based mass-participation cycling event, medical encounters (moderate to severe) occurred in about 1 in 200 cyclists. Injury-related (1/300 cyclists) encounters were higher than illness-related medical encounters (1 in about 500). Serious life-threatening medical encounters occurred in 1/2000 cyclists. These data allow race organisers to anticipate the medical services required and the approximate extent of demand.

Women, older age, faster cycling speed and increased wind speeds are independent risk factors for acute injury-related medical encounters during a 109 km mass community-based participation cycling event: a 3-year study in 102251 race starters—SAFER XII

2020 ◽  
pp. injuryprev-2020-043874
Author(s):  
Jannelene Killops ◽  
Nicola Ann Sewry ◽  
Martin Schwellnus ◽  
Sonja Swanevelder ◽  
Dina Janse van Rensburg ◽  
...  
Keyword(s):  
Risk Factors ◽  
Injury Risk ◽  
Older Age ◽  
Acute Injury ◽  
Community Based ◽  
Cross Sectional ◽  
Factors Associated ◽  
Endurance Cycling ◽  
Cycling Event ◽  
Cycling Speed

BackgroundThere are limited data on acute injury-related medical encounters (injuries) in endurance cycling events.ObjectiveTo determine the risk factors for injuries during a mass community-based endurance cycling event.DesignRetrospective, cross-sectional study.SettingCape Town Cycle Tour (109 km), South Africa.Participants102 251 race starters.MethodsAll injuries for 3 years were recorded by race medical doctors and nurses. Injuries were grouped into main anatomical area of injury, and a Poisson regression model was used to determine the risk factors associated with injuries.ResultsThe four injury risk factors associated with all injuries during an endurance cycling event were sex (women vs men, p<0.0001), older age (p=0.0005), faster cycling speed (p<0.0001) and higher average individualised Wind Speed (aiWindSpeed, p<0.0001). The only risk factor for serious/life-threatening injuries was women (p=0.0413). For specific main anatomical areas: head/neck (women), upper limb (women, older age, faster cyclists), trunk (women, higher aiWindSpeed), and lower limb (higher aiWindSpeed).ConclusionWomen, older age, faster cycling speed and higher aiWindSpeed were all risk factors for acute injuries during a mass community-based endurance cycling event. These risk factors should help inform race organisers and medical teams on race day to ensure the best medical care is given, and effective acute injury prevention programmes are disseminated.

Fluid-Electrolyte Balance During a Summer Endurance Cycling Event: Two Exertional Hyponatremia Case Reports

2010 ◽  
Vol 42 ◽  
pp. 643
Author(s):  
Holly Emmanuel ◽  
Lawrence E. Armstrong ◽  
Jennifer F. Klau ◽  
Douglas J. Casa ◽  
Mathew S. Ganio ◽  
...  
Keyword(s):  
Case Reports ◽  
Electrolyte Balance ◽  
Endurance Cycling ◽  
Cycling Event ◽  
Exertional Hyponatremia

scholarly journals Linking household level GIS-generated environmental exposure scores with individual level anonymised health data

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Amy Mizen ◽  
Sarah Rodgers ◽  
Richard Fry ◽  
Ronan Lyons
Keyword(s):  
Environmental Exposure ◽  
Health Data ◽  
Environmental Data ◽  
Population Register ◽  
Group 13 ◽  
Household Level ◽  
Individual Level ◽  
Exposure Data ◽  
Environment Exposure ◽  
Chi Squared

IntroductionThe dose-response relationship between exposure to food and BMI, has not been widely investigated. Furthermore, household-level, GIS-generated food environment exposure scores have not previously been linked with individual-level, anonymised BMI data. This study linked GIS-generated residential level environmental exposure scores with historical anonymised, health data held in the SAIL databank. Objectives and ApproachHousehold level GIS-generated exposure data for a region of about 1 million people were anonymised into SAIL using the ‘split-file’ method. All individuals living in the 633,884 homes at the time of data collection (2009-2010) were flagged using a population register. Separately, a cohort of 1147, 11-13 year old pupils were linked to their health data before joining to their environmental exposures. Two subgroups were established within the linked dataset: individuals living at 4.8km or less from the school they attended were assumed to walk to school (“walkers”) and pupils who lived further than 4.8km were flagged as “non-walkers”. ResultsA total of 916 pupils (80%) were successfully linked to the population register. The BMIs were collected in 2009-2010, but more recent data is likely to have a greater proportion of successful links (more recently, 97% of individuals and their health data have been linked to their home and exposures in SAIL). Erroneous BMIs were removed (n=33, 2.9%). Anonymised exposure data were linked with the remaining 883 (77%) individuals. The dataset contained 352 males (39.9%) and 531 females (60.1%); of these, 38% were from deprived areas and 62% lived in affluent areas. There were 431 (48.8%) pupils in the “walkers” group and 452 (51.2%) in the “non-walkers” group. In the “walkers” group, 13% were obese compared with 22% of “non-walkers” (chi-squared = 12.3, p <0.05). Conclusion/ImplicationsWe generated novel regional exposures to combine with historical anonymised health data. Household and individual level linkage of environmental data to health cohorts contributed to the literature to help develop beneficial societal policies. We recommend routine national collections of height and weight for children to allow longitudinal retrospective analyses.

Effects Of A Multi-Vitamin With Relora® On Sleep Before An Endurance Cycling Event

2016 ◽  
Vol 48 ◽  
pp. 253
Author(s):  
Laura J. Kunces ◽  
John Keenan ◽  
Colleen X. Munoz ◽  
Hui Ying Luk ◽  
Jakob L. Vingren ◽  
...  
Keyword(s):  
Endurance Cycling ◽  
Cycling Event
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