Talent identification in sports is a heavily debated topic. Previous studies have separately explored either executive functions or gross motor skills to predict the success of top-level soccer players or, more generally, to characterize elite performance in soccer. However, at mid-childhood, the possibility to scope sport-specific requirements remains elusive. We aimed in this study to investigate a valid and simple method of testing for a unique combination of cognitive and speed abilities for identifying promising soccer players at mid-childhood. We measured cognitive functions by means of a Stroop smartphone application and agility with a T-Drill Ball-success test, in two groups of (a) elite- (n = 31) and (b) low-division (n = 37) Italian 7-year-old male soccer players. We administered the tests in a randomized order to both groups. We found better inhibitory control, cognitive flexibility and soccer-specific agility in high-division versus low-division players (p < .001). Inhibitory response and agility were positively associated with the augmented quality of the performance from low-division players to high-division players (r = .55; p = .0001). These results suggest that, even at an early age, cognitive control together with soccer-specific skills is associated with better performance.
BajajJ. S.ThackerL. R.HeumanD. M.FuchsM.SterlingR. K.SanyalA. J.PuriP.SiddiquiM. S.StravitzR. T.BounevaI.LuketicV.NobleN.WhiteM. B.MonteithP.UnserA.WadeJ. B. (2013). The stroop smartphone application is a short and valid method to screen for minimal hepatic encephalopathy. Hepatology, 58(3), 1122–1132. https://doi.org/10.1002/hep.26309
3.
BekrisE.GissisI.KounalakisS. (2018). The dribbling agility test as a potential tool for evaluating the dribbling skill in young soccer players. Research in Sports Medicine, 26(4), 425–435. https://doi.org/10.1080/15438627.2018.1492395
ChangE. C.-H.ChuC.-H.KarageorghisC. I.WangC.-C.TsaiJ. H.-C.WangY.-S.ChangY.-K. (2017). Relationship between mode of sport training and general cognitive performance. Journal of Sport and Health Science, 6(1), 89–95. https://doi.org/10.1016/j.jshs.2015.07.007
6.
ErrenT. C.KufferL.PingerA.GroßJ. V. (2016). The discovery of slowness: Time to deconstruct Gretzky’s and Messi’s predictive brains. Chronobiology International, 33(7), 789–790. https://doi.org/10.1080/07420528.2016.1178276
7.
FaudeO. (2018). Back to the roots in football science. Why it might be smart to invest in the youngest players. Science and Medicine in Football, 2(3), 171–172. https://doi.org/10.1080/24733938.2018.1493047
8.
FigueiredoA. J.Coelho e SilvaM. J.MalinaR. M. (2011). Predictors of functional capacity and skill in youth soccer players. Scandinavian Journal of Medicine & Science in Sports, 21(3), 446–454. https://doi.org/10.1111/j.1600-0838.2009.01056.x
9.
GüllichA. (2014). Selection, de-selection and progression in German football talent promotion. European Journal of Sport Science, 14(6), 530–537. https://doi.org/10.1080/17461391.2013.858371
10.
HönerO.LeyhrD.KelavaA. (2017). The influence of speed abilities and technical skills in early adolescence on adult success in soccer: A long-term prospective analysis using ANOVA and SEM approaches.PLOS One, 12(8), e0182211. https://doi.org/10.1371/journal.pone.0182211
11.
HopkinsW. G. (2007). A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a P value. Sportscience, 11, 16–20.
12.
HuijgenB. C. H.LeemhuisS.KokN. M.VerburghL.OosterlaanJ.Elferink-GemserM. T.VisscherC. (2015). Cognitive functions in elite and sub-elite youth soccer players aged 13 to 17 years.PLOS One, 10(12), e0144580. https://doi.org/10.1371/journal.pone.0144580
13.
JohnsonA.FarooqA.WhiteleyR. (2017). Skeletal maturation status is more strongly associated with academy selection than birth quarter. Science and Medicine in Football, 1(2), 157–163. https://doi.org/10.1080/24733938.2017.1283434
14.
KutluM.YapıcıH.YoncalıkO.ÇelikS. (2012). Comparison of a new test for agility and skill in soccer with other agility tests. Journal of Human Kinetics, 33(2012), 143–150. https://doi.org/10.2478/v10078-012-0053-1
15.
Leon-CarrionJ.García-OrzaJ.Pérez-SantamaríaF. J. (2004). Development of the inhibitory component of the executive functions in children and adolescents. The International Journal of Neuroscience, 114(10), 1291–1311. https://doi.org/10.1080/00207450490476066
16.
LorenzD. S.ReimanM. P.LeheckaB. J.NaylorA. (2013). What performance characteristics determine elite versus nonelite athletes in the same sport?Sports Health, 5(6), 542–547. https://doi.org/10.1177/1941738113479763
17.
MalinaR. M.RogolA. D.CummingS. P.Coelho e SilvaM. J.FigueiredoA. J. (2015). Biological maturation of youth athletes: Assessment and implications. British Journal of Sports Medicine, 49(13), 852–859. https://doi.org/10.1136/bjsports-2015-094623
18.
MooreS. A.McKayH. A.MacdonaldH.NettlefoldL.Baxter-JonesA. D. G.CameronN.BrasherP. M. A. (2015). Enhancing a somatic maturity prediction model. Medicine and Science in Sports and Exercise, 47(8), 1755–1764. https://doi.org/10.1249/MSS.0000000000000588
19.
MurrD.FeichtingerP.LarkinP.O'ConnorD.HönerO. (2018). Psychological talent predictors in youth soccer: A systematic review of the prognostic relevance of psychomotor, perceptual-cognitive and personality-related factors.PLOS One, 13(10), e0205337. https://doi.org/10.1371/journal.pone.0205337
20.
MurrD.RaabeJ.HönerO. (2018). The prognostic value of physiological and physical characteristics in youth soccer: A systematic review. European Journal of Sport Science, 18(1), 62–74. https://doi.org/10.1080/17461391.2017.1386719
21.
RogolA. D.ClarkP. A.RoemmichJ. N. (2000). Growth and pubertal development in children and adolescents: Effects of diet and physical activity. The American Journal of Clinical Nutrition, 72(2 Suppl), 521S–528S. https://doi.org/10.1093/ajcn/72.2.521S
22.
RommersN.MostaertM.GoossensL.VaeyensR.WitvrouwE.LenoirM.D'HondtE. (2019). Age and maturity related differences in motor coordination among male elite youth soccer players. Journal of Sports Sciences, 37(2), 196–203. https://doi.org/10.1080/02640414.2018.1488454
23.
SakamotoS.TakeuchiH.IharaN.LigaoB.SuzukawaK. (2018). Possible requirement of executive functions for high performance in soccer. PLOS One, 13(8), e0201871. https://doi.org/10.1371/journal.pone.0201871
24.
SassiR. H.DardouriW.YahmedM. H.GmadaN.MahfoudhiM. E.GharbiZ. (2009). Relative and absolute reliability of a modified agility T-test and its relationship with vertical jump and straight sprint. Journal of Strength and Conditioning Research, 23(6), 1644–1651. https://doi.org/10.1519/JSC.0b013e3181b425d2
25.
SheppardJ. M.YoungW. B. (2006). Agility literature review: Classifications, training and testing. Journal of Sports Sciences, 24(9), 919–932. https://doi.org/10.1080/02640410500457109
26.
SugimotoD.StraccioliniA.DawkinsC. I.MeehanW. P.MicheliL. J. (2017). Implications for training in youth: Is specialization benefiting kids?Strength & Conditioning Journal, 39(2), 77–81.
TavakolM.DennickR. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
29.
TierneyP. J.YoungA.ClarkeN. D.DuncanM. J. (2016). Match play demands of 11 versus 11 professional football using global positioning system tracking: Variations across common playing formations. Human Movement Science, 49, 1–8. https://doi.org/10.1016/j.humov.2016.05.007
30.
TrecrociA.MilanovićZ.FrontiniM.IaiaF. M.AlbertiG. (2018). Physical performance comparison between under 15 elite and sub-elite soccer players. Journal of Human Kinetics, 61(1), 209–216. https://doi.org/10.1515/hukin-2017-0126
31.
VerburghL.ScherderE. J. A.van LangeP. A. M.OosterlaanJ. (2014). Executive functioning in highly talented soccer players.Plos One, 9(3), e91254. https://doi.org/10.1371/journal.pone.0091254
32.
VestbergT.GustafsonR.MaurexL.IngvarM.PetrovicP. (2012). Executive functions predict the success of top-soccer players.PLOS One, 7(4), e34731. https://doi.org/10.1371/journal.pone.0034731
33.
VestbergT.ReineboG.MaurexL.IngvarM.PetrovicP. (2017). Core executive functions are associated with success in young elite soccer players.PLOS One, 12(2), e0170845. https://doi.org/10.1371/journal.pone.0170845
34.
WadeL.LeahyA.LubansD. R.SmithJ. J.DuncanM. J. (2020). A systematic review of cognitive assessment in physical activity research involving children and adolescents. Journal of Science and Medicine in Sport, 23(8), 740–745. https://doi.org/10.1016/j.jsams.2019.12.020
35.
WangC.-H.ChangC.-C.LiangY.-M.ShihC.-M.ChiuW.-S.TsengP.HungD. L.TzengO. J. L.MuggletonN. G.JuanC.-H. (2013). Open vs. closed skill sports and the modulation of inhibitory control.PLoS One, 8(2), e55773. https://doi.org/10.1371/journal.pone.0055773
WrightB. C. (2017). What stroop tasks can tell us about selective attention from childhood to adulthood. British Journal of Psychology (London, England : 1953), 108(3), 583–607. https://doi.org/10.1111/bjop.12230p
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