Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI

Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI

PURPOSEThere are limited data on risk factors associated with illness-related medical encounters (illMEs) in cycling events. The aim was to determine risk factors associated with illMEs in mass community-based endurance cycling events. METHODSA retrospective, cross-sectional study in the Cape Town C...

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Veröffentlicht in:Medicine and science in sports and exercise 2021-03, Vol.53 (3), p.517-523
Hauptverfasser: SEWRY, NICOLA, SCHWELLNUS, MARTIN, KILLOPS, JANNELENE, SWANEVELDER, SONJA, JANSE VAN RENSBURG, DINA C., JORDAAN, ESME
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container_end_page 523
container_issue 3
container_start_page 517
container_title Medicine and science in sports and exercise
container_volume 53
creator SEWRY, NICOLA
SCHWELLNUS, MARTIN
KILLOPS, JANNELENE
SWANEVELDER, SONJA
JANSE VAN RENSBURG, DINA C.
JORDAAN, ESME
description PURPOSEThere are limited data on risk factors associated with illness-related medical encounters (illMEs) in cycling events. The aim was to determine risk factors associated with illMEs in mass community-based endurance cycling events. METHODSA retrospective, cross-sectional study in the Cape Town Cycle Tour (109km), South Africa with 102251 race starters. All MEs for 3 years were recorded by race medical doctors and nurses. illMEs were grouped into common illnesses by final diagnosis. A Poisson regression model was used to determine if specific risk factors (age, sex, cycling speed, average individual cyclist WBGT - aiWBGT) are associated with illMEs, serious and life-threatening or death illMEs and specific common illMEs. RESULTSIndependent risk factors associated with all illMEs during an endurance cycling event were slow cycling speed (p=0.009) and higher aiWBGT (p
doi_str_mv 10.1249/MSS.0000000000002492
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The aim was to determine risk factors associated with illMEs in mass community-based endurance cycling events. METHODSA retrospective, cross-sectional study in the Cape Town Cycle Tour (109km), South Africa with 102251 race starters. All MEs for 3 years were recorded by race medical doctors and nurses. illMEs were grouped into common illnesses by final diagnosis. A Poisson regression model was used to determine if specific risk factors (age, sex, cycling speed, average individual cyclist WBGT - aiWBGT) are associated with illMEs, serious and life-threatening or death illMEs and specific common illMEs. RESULTSIndependent risk factors associated with all illMEs during an endurance cycling event were slow cycling speed (p=0.009) and higher aiWBGT (p&lt;0.001). Risk factors associated with serious and life-threatening or death illMEs were older age (p=0.007) and slower cycling speed (p=0.016). Risk factors associated with specific common illMEs werefluid and electrolyte disorders (females, older age, higher aiWBGT) and cardiovascular illness (older age). CONCLUSIONFemales, older age, slower cycling speed and higher aiWBGT were associated with illMEs in endurance cycling. These data could be used to design and implement future prevention programmes for illMEs in mass community-based endurance cycling events.</description><identifier>ISSN: 0195-9131</identifier><identifier>EISSN: 1530-0315</identifier><identifier>DOI: 10.1249/MSS.0000000000002492</identifier><identifier>PMID: 32804902</identifier><language>eng</language><publisher>United States: Lippincott Williams &amp; Wilkins</publisher><ispartof>Medicine and science in sports and exercise, 2021-03, Vol.53 (3), p.517-523</ispartof><rights>Lippincott Williams &amp; Wilkins</rights><rights>2020 American College of Sports Medicine</rights><rights>Copyright © 2020 by the American College of Sports Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3502-745fd50956cb03f28b21d334a55ae22093713ceaef1c0f44776c63b1a47127633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&amp;NEWS=n&amp;CSC=Y&amp;PAGE=fulltext&amp;D=ovft&amp;AN=00005768-202103000-00007$$EHTML$$P50$$Gwolterskluwer$$H</linktohtml><link.rule.ids>314,777,781,4595,27905,27906,65212</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32804902$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SEWRY, NICOLA</creatorcontrib><creatorcontrib>SCHWELLNUS, MARTIN</creatorcontrib><creatorcontrib>KILLOPS, JANNELENE</creatorcontrib><creatorcontrib>SWANEVELDER, SONJA</creatorcontrib><creatorcontrib>JANSE VAN RENSBURG, DINA C.</creatorcontrib><creatorcontrib>JORDAAN, ESME</creatorcontrib><title>Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI</title><title>Medicine and science in sports and exercise</title><addtitle>Med Sci Sports Exerc</addtitle><description>PURPOSEThere are limited data on risk factors associated with illness-related medical encounters (illMEs) in cycling events. The aim was to determine risk factors associated with illMEs in mass community-based endurance cycling events. METHODSA retrospective, cross-sectional study in the Cape Town Cycle Tour (109km), South Africa with 102251 race starters. All MEs for 3 years were recorded by race medical doctors and nurses. illMEs were grouped into common illnesses by final diagnosis. A Poisson regression model was used to determine if specific risk factors (age, sex, cycling speed, average individual cyclist WBGT - aiWBGT) are associated with illMEs, serious and life-threatening or death illMEs and specific common illMEs. RESULTSIndependent risk factors associated with all illMEs during an endurance cycling event were slow cycling speed (p=0.009) and higher aiWBGT (p&lt;0.001). Risk factors associated with serious and life-threatening or death illMEs were older age (p=0.007) and slower cycling speed (p=0.016). Risk factors associated with specific common illMEs werefluid and electrolyte disorders (females, older age, higher aiWBGT) and cardiovascular illness (older age). CONCLUSIONFemales, older age, slower cycling speed and higher aiWBGT were associated with illMEs in endurance cycling. These data could be used to design and implement future prevention programmes for illMEs in mass community-based endurance cycling events.</description><issn>0195-9131</issn><issn>1530-0315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkc9OGzEQhy3UClLaN0DIxx5YmPHY-6e3KEraSKBKCZV6Wzleb1lwdqm9K5RbH6JPyJPgNIAqDjCX0Yy-31j6zNgRwikKWZxdLJen8F_FndhjI1QECRCqd2wEWKikQMID9iGE6whlRLjPDkjkIAsQI9YtmnDDZ9r0nQ-87jyfO9faEBJvne5txS9s1Rjt-LQ13dD2NmLV4Jv2F59sjIv9Cx_zZT9UG960HEGcCIV8oY2NW-23gfs_f5fj2XTBf84_sve1dsF-euyH7Mdsejn5lpx__zqfjM8TQwpEkklVVwoKlZoVUC3ylcCKSGqltBUCCsqQjNW2RgO1lFmWmpRWqGWGIkuJDtnn3d1b3_0ebOjLdROMdU63thtCKSQpzNNoK6JyhxrfheBtXd76Zq39pkQot6rLqLp8qTrGjh9fGFZrWz2HntxGIN8Bd53bWrhxw5315ZXVrr9667Z8JbrFVJbmiQCBQHFK4N_fPgChsZfn</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>SEWRY, NICOLA</creator><creator>SCHWELLNUS, MARTIN</creator><creator>KILLOPS, JANNELENE</creator><creator>SWANEVELDER, SONJA</creator><creator>JANSE VAN RENSBURG, DINA C.</creator><creator>JORDAAN, ESME</creator><general>Lippincott Williams &amp; Wilkins</general><general>American College of Sports Medicine</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20210301</creationdate><title>Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI</title><author>SEWRY, NICOLA ; SCHWELLNUS, MARTIN ; KILLOPS, JANNELENE ; SWANEVELDER, SONJA ; JANSE VAN RENSBURG, DINA C. ; JORDAAN, ESME</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3502-745fd50956cb03f28b21d334a55ae22093713ceaef1c0f44776c63b1a47127633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SEWRY, NICOLA</creatorcontrib><creatorcontrib>SCHWELLNUS, MARTIN</creatorcontrib><creatorcontrib>KILLOPS, JANNELENE</creatorcontrib><creatorcontrib>SWANEVELDER, SONJA</creatorcontrib><creatorcontrib>JANSE VAN RENSBURG, DINA C.</creatorcontrib><creatorcontrib>JORDAAN, ESME</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medicine and science in sports and exercise</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SEWRY, NICOLA</au><au>SCHWELLNUS, MARTIN</au><au>KILLOPS, JANNELENE</au><au>SWANEVELDER, SONJA</au><au>JANSE VAN RENSBURG, DINA C.</au><au>JORDAAN, ESME</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI</atitle><jtitle>Medicine and science in sports and exercise</jtitle><addtitle>Med Sci Sports Exerc</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>53</volume><issue>3</issue><spage>517</spage><epage>523</epage><pages>517-523</pages><issn>0195-9131</issn><eissn>1530-0315</eissn><abstract>PURPOSEThere are limited data on risk factors associated with illness-related medical encounters (illMEs) in cycling events. The aim was to determine risk factors associated with illMEs in mass community-based endurance cycling events. METHODSA retrospective, cross-sectional study in the Cape Town Cycle Tour (109km), South Africa with 102251 race starters. All MEs for 3 years were recorded by race medical doctors and nurses. illMEs were grouped into common illnesses by final diagnosis. A Poisson regression model was used to determine if specific risk factors (age, sex, cycling speed, average individual cyclist WBGT - aiWBGT) are associated with illMEs, serious and life-threatening or death illMEs and specific common illMEs. RESULTSIndependent risk factors associated with all illMEs during an endurance cycling event were slow cycling speed (p=0.009) and higher aiWBGT (p&lt;0.001). Risk factors associated with serious and life-threatening or death illMEs were older age (p=0.007) and slower cycling speed (p=0.016). Risk factors associated with specific common illMEs werefluid and electrolyte disorders (females, older age, higher aiWBGT) and cardiovascular illness (older age). CONCLUSIONFemales, older age, slower cycling speed and higher aiWBGT were associated with illMEs in endurance cycling. These data could be used to design and implement future prevention programmes for illMEs in mass community-based endurance cycling events.</abstract><cop>United States</cop><pub>Lippincott Williams &amp; Wilkins</pub><pmid>32804902</pmid><doi>10.1249/MSS.0000000000002492</doi><tpages>7</tpages></addata></record>
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title Risk Factors for Illness-related Medical Encounters during Cycling: A Study in 102,251 Race Starters—SAFER XI
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