Sink or Swim? A survival analysis of sport dropout in Australian youth swimmers

Objectives To examine long‐term participation and dropout rates in Australian youth swimming using survival analyses and to determine whether multiple individual, socio‐demographic, and competition‐related factors influenced dropout. Design Retrospective cohort study of registration and competitive...

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Veröffentlicht in:Scandinavian journal of medicine & science in sports 2020-11, Vol.30 (11), p.2222-2233
Hauptverfasser: Moulds, Kylie, Abbott, Shaun, Pion, Johan, Brophy‐Williams, Cecilia, Heathcote, Mark, Cobley, Stephen
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container_issue 11
container_start_page 2222
container_title Scandinavian journal of medicine & science in sports
container_volume 30
creator Moulds, Kylie
Abbott, Shaun
Pion, Johan
Brophy‐Williams, Cecilia
Heathcote, Mark
Cobley, Stephen
description Objectives To examine long‐term participation and dropout rates in Australian youth swimming using survival analyses and to determine whether multiple individual, socio‐demographic, and competition‐related factors influenced dropout. Design Retrospective cohort study of registration and competitive performance data. Methods Part 1—Registration data from N = 17 161 female (n = 9400) and male (n = 7761) New South Wales (NSW) swimmers aged 10‐15 years (inclusive). Part 2—Competition level involvement in a subsample of female (n = 1011) and male (n = 811) swimmers, aged 12‐15 years, was also examined. To determine dropout rates and influential factors, Kaplan‐Meier survival analyses supplemented by Cox regression were used. Results (1) Kaplan‐Meier analyses identified median sustained participation rates of four years (95% CI = 3.93‐4.06), with 15.9% maintaining participation over 10 years. Cox regressions identified age‐group was associated with dropout (P 
doi_str_mv 10.1111/sms.13771
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A survival analysis of sport dropout in Australian youth swimmers</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Moulds, Kylie ; Abbott, Shaun ; Pion, Johan ; Brophy‐Williams, Cecilia ; Heathcote, Mark ; Cobley, Stephen</creator><creatorcontrib>Moulds, Kylie ; Abbott, Shaun ; Pion, Johan ; Brophy‐Williams, Cecilia ; Heathcote, Mark ; Cobley, Stephen</creatorcontrib><description>Objectives To examine long‐term participation and dropout rates in Australian youth swimming using survival analyses and to determine whether multiple individual, socio‐demographic, and competition‐related factors influenced dropout. Design Retrospective cohort study of registration and competitive performance data. Methods Part 1—Registration data from N = 17 161 female (n = 9400) and male (n = 7761) New South Wales (NSW) swimmers aged 10‐15 years (inclusive). Part 2—Competition level involvement in a subsample of female (n = 1011) and male (n = 811) swimmers, aged 12‐15 years, was also examined. To determine dropout rates and influential factors, Kaplan‐Meier survival analyses supplemented by Cox regression were used. Results (1) Kaplan‐Meier analyses identified median sustained participation rates of four years (95% CI = 3.93‐4.06), with 15.9% maintaining participation over 10 years. Cox regressions identified age‐group was associated with dropout (P &lt; .001), with a 184.9% higher Hazard Rate (HR) for 10‐ vs 15‐year‐olds. Residential proximity to major cities was associated with dropout (P &lt; .001), with urban swimmers reporting a 24.8% higher HR rate than rural swimmers. Sex and relative age were not associated with dropout. (2) The subsample median sustained participation was five years (95% CI = 4.79‐5.20), with 25.3% maintaining participation for ten years. Level of competition was associated (P &lt; .001), with an 86% higher HR when considering lower competition levels (ie, club/district v national). Conclusion In a large representative sample of swimmers, survival analyses identified age‐group, competition level, and city proximity were associated with increased swimming dropout rates.</description><identifier>ISSN: 0905-7188</identifier><identifier>EISSN: 1600-0838</identifier><identifier>DOI: 10.1111/sms.13771</identifier><identifier>PMID: 32668035</identifier><language>eng</language><publisher>Denmark: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Age Factors ; Child ; Competitive Behavior ; Female ; Humans ; Kaplan-Meier Estimate ; Male ; New South Wales ; Proportional Hazards Models ; Retrospective Studies ; Rural Population ; Sex Factors ; Social Participation ; Socioeconomic Factors ; sport cessation ; sport participation ; Survival analysis ; Swimming ; Swimming - psychology ; time to event ; Urban Population ; youth competition</subject><ispartof>Scandinavian journal of medicine &amp; science in sports, 2020-11, Vol.30 (11), p.2222-2233</ispartof><rights>2020 John Wiley &amp; Sons A/S. 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A survival analysis of sport dropout in Australian youth swimmers</title><title>Scandinavian journal of medicine &amp; science in sports</title><addtitle>Scand J Med Sci Sports</addtitle><description>Objectives To examine long‐term participation and dropout rates in Australian youth swimming using survival analyses and to determine whether multiple individual, socio‐demographic, and competition‐related factors influenced dropout. Design Retrospective cohort study of registration and competitive performance data. Methods Part 1—Registration data from N = 17 161 female (n = 9400) and male (n = 7761) New South Wales (NSW) swimmers aged 10‐15 years (inclusive). Part 2—Competition level involvement in a subsample of female (n = 1011) and male (n = 811) swimmers, aged 12‐15 years, was also examined. To determine dropout rates and influential factors, Kaplan‐Meier survival analyses supplemented by Cox regression were used. Results (1) Kaplan‐Meier analyses identified median sustained participation rates of four years (95% CI = 3.93‐4.06), with 15.9% maintaining participation over 10 years. Cox regressions identified age‐group was associated with dropout (P &lt; .001), with a 184.9% higher Hazard Rate (HR) for 10‐ vs 15‐year‐olds. Residential proximity to major cities was associated with dropout (P &lt; .001), with urban swimmers reporting a 24.8% higher HR rate than rural swimmers. Sex and relative age were not associated with dropout. (2) The subsample median sustained participation was five years (95% CI = 4.79‐5.20), with 25.3% maintaining participation for ten years. Level of competition was associated (P &lt; .001), with an 86% higher HR when considering lower competition levels (ie, club/district v national). Conclusion In a large representative sample of swimmers, survival analyses identified age‐group, competition level, and city proximity were associated with increased swimming dropout rates.</description><subject>Adolescent</subject><subject>Age Factors</subject><subject>Child</subject><subject>Competitive Behavior</subject><subject>Female</subject><subject>Humans</subject><subject>Kaplan-Meier Estimate</subject><subject>Male</subject><subject>New South Wales</subject><subject>Proportional Hazards Models</subject><subject>Retrospective Studies</subject><subject>Rural Population</subject><subject>Sex Factors</subject><subject>Social Participation</subject><subject>Socioeconomic Factors</subject><subject>sport cessation</subject><subject>sport participation</subject><subject>Survival analysis</subject><subject>Swimming</subject><subject>Swimming - psychology</subject><subject>time to event</subject><subject>Urban Population</subject><subject>youth competition</subject><issn>0905-7188</issn><issn>1600-0838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1LAzEQhoMotlYP_gEJeNHDtslms0lOUopfUOmhel7SbhZTdzc1s9vSf2_qVg-CA8PA8MwD8yJ0ScmQhhpBBUPKhKBHqE9TQiIimTxGfaIIjwSVsofOAFaEUKESfop6LE5TSRjvo9nc1h_YeTzf2uoOjzG0fmM3usS61uUOLGBXYFg73-Dcu7VrG2xrPG6h8bq0usa7sHrHEM4r4-EcnRS6BHNxmAP09nD_OnmKprPH58l4Gi0ZZzRSKldUL2QspRBFarTKCRHa5EoSQ2Sx4JQlUsYp5UJRJQxXqc5ToTgVhrKcDdBN511799kaaLLKwtKUpa6NayGLkzhJEsalCuj1H3TlWh--21OcCMri0AN021FL7wC8KbK1t5X2u4ySbJ9yFlLOvlMO7NXB2C4qk_-SP7EGYNQBW1ua3f-mbP4y75RfMLCEoA</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Moulds, Kylie</creator><creator>Abbott, Shaun</creator><creator>Pion, Johan</creator><creator>Brophy‐Williams, Cecilia</creator><creator>Heathcote, Mark</creator><creator>Cobley, Stephen</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8445-6122</orcidid><orcidid>https://orcid.org/0000-0002-6111-1033</orcidid><orcidid>https://orcid.org/0000-0001-6099-392X</orcidid></search><sort><creationdate>202011</creationdate><title>Sink or Swim? A survival analysis of sport dropout in Australian youth swimmers</title><author>Moulds, Kylie ; Abbott, Shaun ; Pion, Johan ; Brophy‐Williams, Cecilia ; Heathcote, Mark ; Cobley, Stephen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3531-99d91ab828877f6ea9d007aed980e08fb513488261579197e596ad679517e13d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Age Factors</topic><topic>Child</topic><topic>Competitive Behavior</topic><topic>Female</topic><topic>Humans</topic><topic>Kaplan-Meier Estimate</topic><topic>Male</topic><topic>New South Wales</topic><topic>Proportional Hazards Models</topic><topic>Retrospective Studies</topic><topic>Rural Population</topic><topic>Sex Factors</topic><topic>Social Participation</topic><topic>Socioeconomic Factors</topic><topic>sport cessation</topic><topic>sport participation</topic><topic>Survival analysis</topic><topic>Swimming</topic><topic>Swimming - psychology</topic><topic>time to event</topic><topic>Urban Population</topic><topic>youth competition</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moulds, Kylie</creatorcontrib><creatorcontrib>Abbott, Shaun</creatorcontrib><creatorcontrib>Pion, Johan</creatorcontrib><creatorcontrib>Brophy‐Williams, Cecilia</creatorcontrib><creatorcontrib>Heathcote, Mark</creatorcontrib><creatorcontrib>Cobley, Stephen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Scandinavian journal of medicine &amp; science in sports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moulds, Kylie</au><au>Abbott, Shaun</au><au>Pion, Johan</au><au>Brophy‐Williams, Cecilia</au><au>Heathcote, Mark</au><au>Cobley, Stephen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sink or Swim? A survival analysis of sport dropout in Australian youth swimmers</atitle><jtitle>Scandinavian journal of medicine &amp; science in sports</jtitle><addtitle>Scand J Med Sci Sports</addtitle><date>2020-11</date><risdate>2020</risdate><volume>30</volume><issue>11</issue><spage>2222</spage><epage>2233</epage><pages>2222-2233</pages><issn>0905-7188</issn><eissn>1600-0838</eissn><abstract>Objectives To examine long‐term participation and dropout rates in Australian youth swimming using survival analyses and to determine whether multiple individual, socio‐demographic, and competition‐related factors influenced dropout. Design Retrospective cohort study of registration and competitive performance data. Methods Part 1—Registration data from N = 17 161 female (n = 9400) and male (n = 7761) New South Wales (NSW) swimmers aged 10‐15 years (inclusive). Part 2—Competition level involvement in a subsample of female (n = 1011) and male (n = 811) swimmers, aged 12‐15 years, was also examined. To determine dropout rates and influential factors, Kaplan‐Meier survival analyses supplemented by Cox regression were used. Results (1) Kaplan‐Meier analyses identified median sustained participation rates of four years (95% CI = 3.93‐4.06), with 15.9% maintaining participation over 10 years. Cox regressions identified age‐group was associated with dropout (P &lt; .001), with a 184.9% higher Hazard Rate (HR) for 10‐ vs 15‐year‐olds. Residential proximity to major cities was associated with dropout (P &lt; .001), with urban swimmers reporting a 24.8% higher HR rate than rural swimmers. Sex and relative age were not associated with dropout. (2) The subsample median sustained participation was five years (95% CI = 4.79‐5.20), with 25.3% maintaining participation for ten years. Level of competition was associated (P &lt; .001), with an 86% higher HR when considering lower competition levels (ie, club/district v national). Conclusion In a large representative sample of swimmers, survival analyses identified age‐group, competition level, and city proximity were associated with increased swimming dropout rates.</abstract><cop>Denmark</cop><pub>Blackwell Publishing Ltd</pub><pmid>32668035</pmid><doi>10.1111/sms.13771</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8445-6122</orcidid><orcidid>https://orcid.org/0000-0002-6111-1033</orcidid><orcidid>https://orcid.org/0000-0001-6099-392X</orcidid></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adolescent
Age Factors
Child
Competitive Behavior
Female
Humans
Kaplan-Meier Estimate
Male
New South Wales
Proportional Hazards Models
Retrospective Studies
Rural Population
Sex Factors
Social Participation
Socioeconomic Factors
sport cessation
sport participation
Survival analysis
Swimming
Swimming - psychology
time to event
Urban Population
youth competition
title Sink or Swim? A survival analysis of sport dropout in Australian youth swimmers
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