| Literature DB >> 30566450 |
Christian Thue Bjørndal1, Live S Luteberget2, Kevin Till3, Simen Holm1.
Abstract
Many elite sport organisations have introduced structured talent identification and development (TID) initiatives in youth sports to better facilitate elite sport performance. However, selection mechanisms for TID programmes (e.g., junior international team) are biased towards relatively older athletes and limited studies exist with Scandinavian contexts. Therefore, the aim of this study was to explore the relative age effect (RAE) in youth, junior and senior male and female international team selections among Norwegian handball players (n = 657). A Chi-square goodness-of-fit test assessed whether a skewed birthdate distribution occurred at the youth, junior and senior international team levels and odds-ratios were calculated for RAE distribution. Moreover, a Kruskal-Wallis test was used to assess differences between the number of international youth, junior and senior level appearances by birth quartiles. Significant uneven birth date distributions were shown for youth (χ2(7) = female 40.383 and male 105.716, p <0.001) and junior (χ2(7) = female 27.427 and male 30.948, p <0.001) international players, favouring the relatively older player (odds-ratio of 1.9-8.3). At the senior level, no uneven distribution was identified. The comparison of the number of matches in each age category and the quartile of birth showed a difference in the women's youth category, where players in quartile 8 had a significantly lower number of appearances compared to quartile 1. The results form part of a growing body of knowledge about selection mechanisms in sport, which favours relatively older athletes within Norwegian Handball. Such findings are important for policy and practice for informing TID programmes for inclusive selection opportunities for all players.Entities:
Mesh:
Year: 2018 PMID: 30566450 PMCID: PMC6300244 DOI: 10.1371/journal.pone.0209288
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1The talent development initiatives in Norwegian youth handball throughout adolescence.
Norwegian birth-distribution according to quartiles, matching the participants in the sample.
| Birth year | Q1 (%) | Q2 (%) | Q3 (%) | Q4 (%) | Q5 (%) | Q6 (%) | Q7 (%) | Q8 (%) |
|---|---|---|---|---|---|---|---|---|
| 12.3 | 13.0 | 12.7 | 11.3 | 12.3 | 13.4 | 13.0 | 12.0 | |
| 12.6 | 12.9 | 12.4 | 11.4 | 12.5 | 13.2 | 12.9 | 12.1 | |
| 12.9 | 13.0 | 12.5 | 11.7 | 12.8 | 13.1 | 12.6 | 11.4 | |
| 12.8 | 13.1 | 12.8 | 11.4 | 12.4 | 13.2 | 12.7 | 11.5 | |
| 12.5 | 13.1 | 12.4 | 11.9 | 12.6 | 13.3 | 12.9 | 11.3 | |
| 12.6 | 13.1 | 12.7 | 12.0 | 12.7 | 13.1 | 12.7 | 11.0 | |
| 12.4 | 13.0 | 13.2 | 11.1 | 12.5 | 13.3 | 13.1 | 11.5 | |
| 12.6 | 13.0 | 12.7 | 11.5 | 12.5 | 13.2 | 12.9 | 11.5 |
Q = quartile.
Number of players selected to the different national team categories, with odds ratios.
| Youth | Junior | Senior | |||||
|---|---|---|---|---|---|---|---|
| Quartile | Number of players | Odds ratio | Number of players | Odds ratio | Number of players | Odds ratio | |
| Women | 1 | 38 | 3.2 | 31 | 3.9 | 13 | 2.6 |
| 2 | 52 | 4.3 | 39 | 4.9 | 13 | 2.6 | |
| 3 | 51 | 4.3 | 33 | 4.1 | 14 | 2.8 | |
| 4 | 26 | 2.2 | 13 | 1.6 | 5 | ||
| 5 | 31 | 2.6 | 24 | 3.0 | |||
| 6 | 23 | 1.9 | 23 | 2.9 | |||
| 7 | 23 | 1.9 | 19 | 2.4 | |||
| 8 | 12 | 8 | |||||
| Men | 1 | 69 | 7.7 | 34 | 2.6 | 15 | 1.5 |
| 2 | 75 | 8.3 | 40 | 3.1 | 13 | 1.3 | |
| 3 | 51 | 5.7 | 27 | 2.1 | 17 | 1.7 | |
| 4 | 29 | 3.2 | 18 | 1.4 | 10 | ||
| 5 | 24 | 2.7 | 16 | 1.2 | |||
| 6 | 18 | 2.0 | 10 | 0.8 | |||
| 7 | 24 | 2.7 | 24 | 1.8 | |||
| 8 | 9 | 13 | |||||
For odds ratio Q1-Q7 was compared to Q8 for youth and junior, while Q1-Q3 was compared to Q4 for senior players.
Number of matches played per player in the different birth quartiles.
| Quartile | Number of | Number of | Number of | ||||
|---|---|---|---|---|---|---|---|
| Women | 1 | 25.2 | ± 16.2 | 17.3 | ± 10.8 | 19.1 | ± 18.7 |
| 2 | 18.3 | ± 14.4 | 15.7 | ± 10.8 | 36.6 | ± 41.6 | |
| 3 | 17.6 | ± 15.7 | 18.8 | ± 11.8 | 38.5 | ± 48.2 | |
| 4 | 14.9 | ± 13.3 | 15.8 | ± 13.2 | 53.6 | ± 88.1 | |
| 5 | 14.5 | ± 13.4 | 13.9 | ± 9.6 | |||
| 6 | 15.0 | ± 13.7 | 11.1 | ± 7.2 | |||
| 7 | 13.2 | ± 13.3 | 15.4 | ± 12.2 | |||
| 8 | 6.6 | ± 6.3 | 15.4 | ± 13.3 | |||
| Men | 1 | 15.7 | ± 15.1 | 16.8 | ± 11.3 | 34.3 | ± 42.1 |
| 2 | 15.2 | ± 13.0 | 16.6 | ± 11.4 | 32.7 | ± 23.7 | |
| 3 | 17.1 | ± 13.7 | 17.4 | ± 11.7 | 23.5 | ± 26.4 | |
| 4 | 15.1 | ± 15.2 | 13.7 | ± 11.7 | 24.0 | ± 34.3 | |
| 5 | 10.6 | ± 12.5 | 13.6 | ± 9.0 | |||
| 6 | 17.0 | ± 15.0 | 11.9 | ± 8.2 | |||
| 7 | 13.9 | ± 12.9 | 11.6 | ± 9.1 | |||
| 8 | 14.7 | ± 16.9 | 11.5 | ± 10.3 | |||
* = P < 0.05 when compared to quartile 1.