This study aimed to search for age and sex differences on a manipulative eye-segmental (hand and foot) coordination task. It represents the first step towards a possible creation of a manipulative eye-hand and eye-foot coordination test that may be used in motor competence test batteries. One hundred and sixty-eight children (85 boys and 83 girls), with a mean age of 12.79 years old (±1.56) were assessed. Subjects had 30 seconds to achieve as many ball impacts as possible on a front wall (two meters apart), following a drop punt kick, rebound on the wall and catch sequence. Compared to girls’, boys’ performance was significantly better (p < .001) on each studied age (10, 11, 13 and 14), with large effect sizes (all four Cohen’s d values over 1.30). Besides, 10 and 11 years-old subjects’ performance, both in boys and in girls, was significantly lower than their 13 and 14 years-old subjects’ counterparts (p < .001, except for the comparison between 13 and 14 years-old subjects, on girls, where p < .01). All related effect sizes were large (all Cohen’s d values over 1.03). Results confirm literature, as boys’ performance on this manipulative task was significantly better than girls’ one. The results seem to be promising about the possible use of the task in question as an eye-hand and eye-foot coordination test in future. Further research needs to be performed, namely aiming its validation (testing its reliability and concurrent validity).
LopesLSantosRPereiraB, et al.
Associations between gross motor coordination and academic achievement in elementary school children. Hum Mov Sci2013;
32: 9–20.
2.
RobinsonLEStoddenDFBarnettLM, et al.
Motor competence and its effect on positive developmental trajectories of health. Sports Med2015;
45: 1273–1284.
3.
BarnettLMLaiSKVeldmanSLC, et al.
Correlates of gross motor competence in children and adolescents: a systematic review and meta-analysis. Sports Med2016;
46: 1663–1688.
4.
UteschTBardidF.Motor competence. In: HackfortDSchinkeRStraussB (eds) Dictionary of sport psychology: sport, exercise, and performing arts.
Amsterdam:
Elsevier, 2019. p.186.
5.
HendersonSSugdenD.The movement assessment battery for children.
New York:
The Psychological Corporation, 1992.
6.
GallahueDOzmunJGoodwayJ.Understanding motor development: infants, children, adolescents, adults. 7th ed.
New York:
McGraw-Hill, 2012.
7.
BurtonAWMillerDE.Movement skill assessment.
Champaign:
Human Kinetics, 1998.
8.
GabbardC.Lifelong motor development. 5th ed.
San Francisco:
Pearson Benjamin Cummings, 2008.
9.
RodriguesLPCordovilRLuzC, et al. Model invariance of the motor competence assessment (MCA) from early childhood to young adulthood. J Sports Sci. Epub ahead of print 25 May 2021. DOI: 10.100/02640414.2021.1932290.
10.
SigmundssonHLoråsHHagaM.Assessment of motor competence across the life span: aspects of reliability and validity of a new test battery. SAGE Open2016;
6: 1–10.
11.
PlatvoetSFaberIde NietM, et al.
Development of a tool to assess fundamental movement skills in applied settings. Front Educ2018;
3: 1–8.
12.
LuzCRodriguesLPAlmeidaG, et al.
Development and validation of a model of motor competence in children and adolescents. J Sci Med Sport2016;
19: 568–572.
13.
UlrichDA.Introduction to the special section: evaluation of the psychometric properties of the TGMD-3. Motor Learn Dev2017;
5: 1–4.
14.
HendersonSESugdenDABarnettAL.Movement assessment battery for children-2. 2nd ed.
San Francisco:
Pearson Education, Inc., 2007.
15.
KiphardESchillingF.The Körperkoordinationstest für Kinder [Body Coordination Test for Children].
Germany:
Beltz Test, GmbH, 1974.
16.
BiddleSJGorelyTStenselDJ.Health-enhancing physical activity and sedentary behaviour in children and adolescents. J Sports Sci2004;
22: 679–701.
17.
ThivelDTremblayAGeninPM, et al.
Physical activity, inactivity, and sedentary behaviors: definitions and implications in occupational health. Front Public Health2018;
6: 288.
18.
LubansDRMorganPJCliffDP, et al.
Fundamental movement skills in children and adolescents: review of associated health benefits. Sports Med2010;
40: 1019–1035.
19.
HolfelderBSchottN.Relationship of fundamental movement skills and physical activity in children and adolescents: a systematic review. Psychol Sport Exerc2014;
15: 382–391.
20.
StoddenDFGoodwayJDLangendorferSJ, et al.
A developmental perspective on the role of motor skill competence in physical activity: an emergent relationship. Quest2008;
60: 290–306.
21.
BarnettLMVan BeurdenEMorganPJ, et al.
Does childhood motor skill proficiency predict adolescent fitness?Med Sci Sports Exerc2008;
40: 2137–2144.
22.
BarnettLMvan BeurdenEMorganPJ, et al.
Childhood motor skill proficiency as a predictor of adolescent physical activity. J Adolesc Health2009;
44: 252–259.
23.
MalinaRM.Tracking physical activity across the life span. PCPFS Res Dig2001;
3: 1–8.
24.
TelamaR.Tracking of physical activity from childhood to adulthood: a review. Obes Facts2009;
2: 187–195.
25.
HardyLLReinten-ReynoldsTEspinelP, et al.
Prevalence and correlates of low fundamental movement skill competency in children. Pediatrics2012;
130: e390–e398.
26.
LoprinziPDDavisREFuYC.Early motor skill competence as a mediator of child and adult physical activity. Prev Med Rep2015;
2: 833–838.
27.
CattuzzoMTdos Santos HenriqueRRéAH, et al.
Motor competence and health related physical fitness in youth: a systematic review. J Sci Med Sport2016;
19: 123–129.
28.
CohenKEMorganPJPlotnikoffRC, et al.
Fundamental movement skill and physical activity among children living in low-income communities: a cross-sectional study. Int J Behav Nutr Phys Act2014;
11: 49.
29.
VlahovEBaghurstTMMwavitaM.Preschool motor development predicting high school health-related physical fitness: a prospective study. Percept Mot Skills2014;
119: 279–291.
30.
RodriguesLPLuzCCordovilR, et al.
Normative values of the motor competence assessment (MCA) from 3 to 23 years of age. J Sci Med Sport2019;
22: 1038– 1043.
31.
FaberIROosterveldFGJNijhuis-Van der SandenMWG.Does an eye-hand coordination test have added value as part of talent identification in table tennis? A validity and reproducibility study. PLoS One2014;
9: e85657.
32.
CarvalhalMVasconcelos-RaposoJ.Diferenças entre géneros nas habilidades: correr, saltar, lançar e pontapear. Motricidade2007;
3: 44–56.
33.
ValtrLPsottaRAbdollahipourR.Gender differences in performance of the movement assessment battery for children – 2nd edition test in adolescents. Acta Gymnica2016;
46: 155–161.
34.
WicksLJTelfordRMCunninghamRB, et al.
Longitudinal patterns of change in eye–hand coordination in children aged 8–16 years. Hum Mov Sci2015;
43: 61–66.
35.
MatosRCoelhoLAntunesR, et al.
Eficácia do gesto técnico tripela em rapazes e raparigas do 1.° CEB. J Sport Pedagogy Res2019;
5: 19.
36.
FaulFErdfelderEBuchnerA, et al.
Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behav Res Methods2009;
41: 1149–1160.
37.
DenisJD.SPSS data analysis for univariate, bivariate, and multivariate statistics. 1st ed.EUA:
John Wiley & Sons, 2009.
38.
World Medical Association.
World medical association declaration of Helsinki ethical principles for medical research involving human subjects. JAMA2013;
310: 2191–2194.
39.
Rebelo-GonçalvesRMorenoJCoelhoL, et al. Análise da reproducibilidade de um teste de coordenação óculo-pedal em jovens jogadores de futsal. In: MendesRCoelho e SilvaMJ (eds) Estudos de desenvolvimento motor da criança XIII.
Coimbra:
CIDAF e FCDEF, Universidade de Coimbra, 2020, pp.8–10.
40.
HoR.Handbook of univariate and multivariate data analysis with IBM SPSS. 2nd ed.
Boca Raton:
Chapman and Hall/CRC, 2014.
41.
CohenJ.Statistical power analysis for the behavioral sciences. 2nd ed.Mahwah:
Lawrence Erlbaum, 1998.
42.
KaudererSRandlerC.Differences in time use among chronotypes in adolescents. Biol Rhythm Res2013;
44: 601–608.
43.
MotaJSantosMPRibeiroJC.Differences in leisure-time activities according to level of physical activity in adolescents. J Phys Act Health2008;
5: 286–293.
44.
BadrićMPrskaloIMatijevićM.Primary school pupils’ free time activities. Croat J Educ2015;
17: 299–332.
45.
HarrellJSPearcePFMarklandET, et al.
Assessing physical activity in adolescents: common activities of children in 6th–8th grades. J Am Acad Nurse Pract2003;
15: 170–178.
46.
WoodWEaglyAH.Biosocial construction of sex differences and similarities in behavior. In: OlsoJMZannaMP (eds) Advances in experimental social psychology.
Cambridge, MA:
Academic Press,
vol.46, 2012, pp.56–123.
47.
MorrongielloBADawberT.Parental influences on toddler’s injury-risk behaviors: are sons and daughters socialized differently?J Appl Dev Psychol1999;
20: 227–251.
48.
MorrongielloBADawberT.Mothers’ responses to sons and daughters engaging in injury-risk behaviors on a playground: implications for sex differences in injury rates. J Exp Child Psychol2000;
76: 89–103.
49.
AbramovIGordonJFeldmanO, et al.
Sex & vision I: spatio-temporal resolution. Biol Sex Differ2012;
3: 20.
50.
SchulteTHongJYSullivanEV, et al.
Effects of age, sex, and puberty on neural efficiency of cognitive and motor control in adolescents. Brain Imaging Behav2020;
14: 1089–1107.
51.
BarnettLMStoddenDCohenKE, et al.
Fundamental movement skills: an important focus. J Teach Phys Educ2016;
35: 219–225.
52.
van BeurdenEBarnettLMZaskA, et al.
Can we skill and activate children through primary school physical education lessons? “Move it groove it”. A collaborative health promotion intervention. Prev Med2003;
36: 493–501.
53.
PomboALuzCde SáC, et al.
Effects of the COVID-19 lockdown on Portuguese children’s motor competence. Children2021;
8: 199.
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