Soccer coaches vs. sport science and medicine staff: who can more accurately predict the skeletal age of high-level youth soccer players?

年龄组 背景(考古学) 运动医学 人口学 骨龄 俱乐部 心理学 医学 老年学 物理疗法 地理 内科学 解剖 社会学 考古
作者
Ludwig Ruf,Stefan Altmann,Christian U.A. Kloss,Sascha Härtel
出处
期刊:Science & medicine in football [Informa]
卷期号:7 (3): 253-262 被引量:3
标识
DOI:10.1080/24733938.2022.2100461
摘要

Biological maturity is an important aspect in the context of talent identification and development processes within elite youth soccer players. The aim of this study was to investigate the accuracy of soccer coaches (SC) as well as sports science and medicine staff (SSMS) to predict the skeletal age of high-level youth soccer players. We also aimed to evaluate the inter-rater reliability of the skeletal age predictions among the SC and SSMS. Skeletal ages were collected for 89 male academy soccer players registered for the U12 to U16 age groups at a professional German Bundesliga club. In addition, 12 SC and five SSMS provided their skeletal age predictions for each player of their respective age group. Standardised mean differences and equivalence testing were performed between actual and predicted skeletal ages. Intra-class correlations (ICC) were calculated to assess the inter-rater reliability. For the SC, differences between predicted and actual skeletal ages were trivial and equivalent to zero for the U12, U14, and entire sample, while for the SSMS, standardised mean differences ranged from trivial to small for all age groups and the entire sample. ICC for skeletal age predictions for the entire sample was good among the SC and excellent among the SSMS, but was somewhat lower when age groups were analysed separately. While, on average, predictions were close to the actual skeletal age, SC were slightly more accurate than the SSMS. However, variability among the SSMS was large on an individual level.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
归于初见发布了新的文献求助10
1秒前
jovrtic完成签到,获得积分10
1秒前
2秒前
2秒前
元谷雪发布了新的文献求助10
2秒前
微笑的冰烟完成签到,获得积分10
3秒前
3秒前
影子完成签到,获得积分10
4秒前
啦啦啦完成签到,获得积分10
4秒前
An完成签到,获得积分10
5秒前
5秒前
老白茶发布了新的文献求助10
5秒前
牪犇发布了新的文献求助10
6秒前
动听涔雨完成签到,获得积分10
6秒前
专一的铃铛关注了科研通微信公众号
6秒前
爆米花应助任我行采纳,获得10
6秒前
啵啵完成签到,获得积分10
7秒前
木子木子完成签到,获得积分10
8秒前
小小酥关注了科研通微信公众号
9秒前
一龙发布了新的文献求助10
9秒前
9秒前
啦啦啦发布了新的文献求助10
9秒前
火华完成签到 ,获得积分10
9秒前
10秒前
ww发布了新的文献求助10
11秒前
xixi发布了新的文献求助10
12秒前
科研通AI2S应助xu采纳,获得10
13秒前
WHY发布了新的文献求助10
13秒前
SciGPT应助花痴的溪灵采纳,获得10
13秒前
14秒前
牛顿宇发布了新的文献求助10
15秒前
庄默羽完成签到,获得积分10
15秒前
Jasmineyfz完成签到 ,获得积分10
16秒前
高高魂幽完成签到,获得积分10
16秒前
16秒前
17秒前
小蚂蚁完成签到 ,获得积分10
19秒前
windmill发布了新的文献求助10
20秒前
任我行完成签到,获得积分10
20秒前
高分求助中
Evolution 10000
ISSN 2159-8274 EISSN 2159-8290 1000
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3162682
求助须知:如何正确求助?哪些是违规求助? 2813599
关于积分的说明 7901187
捐赠科研通 2473168
什么是DOI,文献DOI怎么找? 1316684
科研通“疑难数据库(出版商)”最低求助积分说明 631482
版权声明 602175