Literature DB >> 32668035

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

Kylie Moulds1, Shaun Abbott1, Johan Pion2, Cecilia Brophy-Williams3, Mark Heathcote3, Stephen Cobley1.   

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 < .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 < .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 < .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.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  sport cessation; sport participation; swimming; time to event; youth competition

Mesh:

Year:  2020        PMID: 32668035     DOI: 10.1111/sms.13771

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  1 in total

1.  Comparing cross-sectional and longitudinal tracking to establish percentile data and assess performance progression in swimmers.

Authors:  Dennis-Peter Born; Eva Rüeger; C Martyn Beaven; Michael Romann
Journal:  Sci Rep       Date:  2022-06-18       Impact factor: 4.996

  1 in total

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