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Sports Medicine
Article . 2023 . Peer-reviewed
License: CC BY
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Sports Medicine
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Effects of Early Talent Promotion on Junior and Senior Performance: A Systematic Review and Meta-Analysis

Authors: Arne Güllich; Michael Barth;

Effects of Early Talent Promotion on Junior and Senior Performance: A Systematic Review and Meta-Analysis

Abstract

Abstract Background Does younger involvement in talent promotion programs (TPPs) facilitate the attainment of higher performance levels? This question is the subject of the present meta-analysis. Many national sport systems have established TPPs such as federations’ junior squads (including under-age selection teams) and youth sport academies, and many are making expanding investments in TPPs. TPPs seek to select the most advanced youth high performers at young ages, around puberty or younger, and then strive to further accelerate their performance development. However, studies show 25–55% annual athlete turnover within TPPs. In this context, accelerated biological maturation (puberty, growth spurt), high relative age within one’s birth year, and intensified sport-specific childhood/adolescent practice may boost rapid junior performance, but the effects diminish or are reversed by adulthood. Moreover, expanded opportunity costs and risks (time demands, injury, burnout) imposed on young TPP participants may impair their long-term development and even prematurely terminate their career. Objective We aimed to provide robust and generalizable evidence on the effects of early talent promotion on junior and senior performance through a systematic review and meta-analysis. Methods A systematic literature search was conducted 18/03–03/04/2023 in SPORTDiscus, ProQuest, PsycINFO, PubMed, Scopus, WorldCat, and Google Scholar. We searched for original studies that compared athletes across defined higher and lower performance levels within defined types of sports, age categories, and sexes, regarding their age at commencement of TPP involvement and reported effect sizes or data needed to compute effects sizes. Mean meta-analytic Cohen’s $$\overline{d }$$ d ¯ was computed separately for junior and senior athletes. Quality of evidence was evaluated using the mixed-methods appraisal tool. Results The search yielded k = 51 effect sizes from N = 6233 athletes from a wide range of countries and sports, 82% male and 18% female, from 2009 to 2022. The central finding is that effects on short-term junior performance versus long-term senior performance are opposite, whereby higher-performing junior athletes began TPP involvement at younger ages than lower-performing junior athletes, $$\overline{d }$$ d ¯ = − 0.53. In contrast, higher-performing senior athletes began TPP involvement at older ages than lower-performing senior athletes, $$\overline{d }$$ d ¯ = 0.56. The findings are robust across different TPPs (federation’s junior squad/selection team, youth academy), individual and team sports, and performance levels compared (international, national, regional). The quality of primary studies was high. Discussion The findings are consistent with recent meta-analytic evidence that participation patterns predicting early junior success versus long-term senior success are opposite (starting age, main-sport and other-sports practice amounts, age to reach performance ‘milestones’). We discuss theoretical and practical implications of potential selection and ‘treatment’ effects of TPPs. Conclusions Consistent across different populations, early TPP involvement is positively correlated with short-term junior performance but is negatively correlated with long-term senior performance.

Countries
Germany, Germany
Keywords

Adolescent, Youth Sports, Age Factors, Aptitude, Athletic Performance, Athletes, Systematic Review ; Adolescent [MeSH] ; Age Factors [MeSH] ; Aptitude [MeSH] ; Youth Sports [MeSH] ; Humans [MeSH] ; Athletes [MeSH] ; Athletic Performance/physiology [MeSH], Humans, Systematic Review, ddc: ddc:796

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
Green
hybrid