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

人口学 辍学(神经网络) 比例危险模型 危险系数 医学 竞赛(生物学) 队列 老年学 心理学 内科学 生物 置信区间 生态学 机器学习 社会学 计算机科学
作者
Kylie Moulds,Shaun Abbott,Johan Pion,Cecilia Brophy‐Williams,Mark Heathcote,Stephen Cobley
出处
期刊:Scandinavian Journal of Medicine & Science in Sports [Wiley]
卷期号:30 (11): 2222-2233 被引量:14
标识
DOI:10.1111/sms.13771
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
积极涵阳发布了新的文献求助10
1秒前
33驳回了dynamoo应助
1秒前
2秒前
LFY完成签到,获得积分10
2秒前
3秒前
yayika完成签到 ,获得积分10
5秒前
6秒前
daxu完成签到,获得积分20
6秒前
JamesPei应助王乐安采纳,获得10
6秒前
7秒前
璇22完成签到 ,获得积分10
7秒前
7秒前
10秒前
小马甲应助yangling0124采纳,获得10
10秒前
SciGPT应助怪味薯片采纳,获得10
10秒前
852应助neverflunk采纳,获得10
11秒前
顾矜应助李月采纳,获得10
12秒前
小小完成签到 ,获得积分10
13秒前
SAVP发布了新的文献求助10
14秒前
tommyhechina完成签到,获得积分10
14秒前
zyq发布了新的文献求助10
14秒前
科研通AI6应助33采纳,获得10
14秒前
15秒前
Mic应助正直的广缘采纳,获得10
15秒前
善学以致用应助zz采纳,获得30
15秒前
enen完成签到 ,获得积分10
16秒前
16秒前
mos2003发布了新的文献求助10
18秒前
Heisenberg完成签到,获得积分10
19秒前
woyaojiayou完成签到,获得积分10
19秒前
小青椒应助蔡静雯popo采纳,获得50
19秒前
SAVP完成签到,获得积分20
19秒前
轻松向彤发布了新的文献求助10
20秒前
20秒前
Fairy完成签到 ,获得积分10
21秒前
活力的夏蓉完成签到,获得积分10
23秒前
23秒前
量子星尘发布了新的文献求助10
23秒前
科研小土豆完成签到,获得积分10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 871
The International Law of the Sea (fourth edition) 800
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5419212
求助须知:如何正确求助?哪些是违规求助? 4534628
关于积分的说明 14145820
捐赠科研通 4451115
什么是DOI,文献DOI怎么找? 2441629
邀请新用户注册赠送积分活动 1433211
关于科研通互助平台的介绍 1410533