Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: Primary: To gain a system-wide perspective on factors leading to athlete attrition from a high-performance sport system (HPSS). Secondary: To identify what a sample of system-wide stakeholders and past athletes value as the most important and feasible attrition factors to address to retain talented athletes.
Design: Mixed-methods.
Methods: Concept mapping was used for qualitative data collection and quantitative data analysis. Sixty-one participants including: (i) past athletes from an Australian state sporting institute; (ii) their families; and (iii) internal and external stakeholders to a HPSS who supported past athletes.
Results: Participants brainstormed 83 unique statements (i.e. attrition factors) that were mapped into 13 clusters of attrition factors following multidimensional scaling and hierarchical cluster analysis performed on the participants sorting data: 'abuse and mismanagement of health'; 'athlete health'; 'limited support/resourcing'; 'coaching'; 'inconsistent processes'; 'financial and career support'; 'pathway structure'; 'organisational dynamics'; 'competitive stress'; 'performance potential'; 'challenges with selection and transition'; 'psychological state'; and 'competing non-sport priorities'. 'Abuse and mismanagement of health' had the highest mean importance (3.76 out of 5) and feasibility (3.31) rating. The 13 clusters were further grouped into four overarching domains: 'sport system policy, structure and processes'; 'pathway structure, transition and support'; 'individual athlete health and capability'; and 'whole-of-life demands and priorities'. The domain 'sport system policy, structure and processes' contained the most important and feasible clusters.
Conclusions: Macro (system-level) and micro (intrapersonal and interpersonal) level athlete attrition factors should be considered together. Athlete health was considered the most important athlete retention issue to address.
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Source |
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http://dx.doi.org/10.1016/j.jsams.2022.05.011 | DOI Listing |
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