EQOL Journal (2021) 13(1):
ORIGINAL ARTICLE
Relationship between cognitive abilities and manual coordination and balance in preschool children
Filip Sadri1✉ • Ivo Sadri2 • Željko Krneta1
• Jovana Trbojević Jocić3
•
Maja Batez1
Received: 2nd March, 2021 |
DOI: 10.31382/eqol.210604 |
Accepted: 25th May, 2021 |
|
© The Author(s) 2021. This article is published with open access. |
|
Abstract
Background: The purpose of this research was to investigate the relationship between cognitive abilities and manual coordination and balance in preschool children. Methods: The sample consisted of 41 preschool children aged 6.4±0.8 on average, of both sexes (30 boys and 11 girls). On top of their regular preschool activities, the children attended a school of sports for preschool children - multisport activities and exercises, twice a week. The sample of measuring instruments comprised 4 motor tests
✉filipsadri@uns.ac.rs
1University of Novi Sad, Faculty of Sport and Physical Education, Novi Sad, Serbia
2Primary school “Đura Daničić”, Novi Sad, Serbia
3Matica Srpska, Novi Sad, Serbia
to Nose test with the eyes closed. A significant contribution to the established relation was given by the G factor estimated by Raven's colored
progressive matrices. Conclusions: Physical activities contribute to the development of motor skills and thus to the development of some cognitive abilities in children, which is of great importance for their further development.
Keywords preschool children • cognitive function
•motor skills • physical activity.
Introduction
During the first six years of their life, children explore the world around them through various movement patterns and thus they learn about their environment and their own body features and physical abilities (Rajović, 2017). A preschool child gratifies their natural need for movement through play, therefore this particular age is considered ideal for the development of the main motor skills (Goodway, Ozmun, & Gallahue, 2012). Recent studies show that physical activity contributes to the overall development of personality and improves fitness (Páez- Maldonado, 2020; Biddle, 2019; Maher, Toohey,
&Ferguson, 2016; Smith, Eather, Morgan, Plotnikoff, Faigenbaum, & Lubans, 2014). However, positive impact of physical activity on the developments of cognitive abilities is also often mentioned (Biddle, 2019;
31
EQOL Journal (2021) 13(1):
thmetic) after walking for 20 minutes immediately before the test. The regions in the brain responsible for cognitive control were much more active in the experimental group of children than in the control group of children that did not walk before the test (Hilman, 2009). An increased level of physical activity leads not only to the improvement in motor skills but also the improvement in the intellectual abilities of a child (Malina, Bouchard &
In order for a child to master reading, writing, speech and gesticulation, or skills that appear to be exclusively academic, the child must be in good control over their motor abilities (2018), as these represent a basis for successfully mastering these skills (Rajović, 2017; Abdelkarim et al. 2017; Davis et al., 2016; Diamonf, 2010). On the other hand, both cognitive and motor abilities must function with a high level of coordination. Children with poor motor coordination show poorer academic skills and face significant difficulties when they start school (Michel et al., 2011). Vickerman (2008) indicates that the coordination involves a series of cerebral processes, such as sensory input, perceptive and cognitive processing. It is based on harmonization of the nervous system and the musculoskeletal system (Budde et al., 2008), resulting in quick, accurate, and balanced motor response (Corbin et al., 2000; Lopes et al., 2012). Budde et al., (2008) verified that 10 minutes of acute bilateral coordination exercises improve concentration and attention in
32
for coordination and balance development on cognitive abilities (Pietch et al., 2017), especially in children younger than
Method
The sample of respondents consisted of 41 children of preschool age who attend preschool institutions in preparatory groups. The mean age of children of both sexes was 6.4 ± 0.8 decimal years (30 boys and 11 girls). On top of their regular activities in preschool institutions, all the children frequented multisport activities and exercises twice a week at “Luka” school of sports from Novi Sad, Serbia. The children’s activities at the school of sports are of moderate to vigorous intensity and are focused on the development of basic motor skills and basic elements of both team sports and individual sports. The children’s parents furnished a written consent required for a child’s participation in the tests. Only physically and mentally healthy children, able to perform all the tests, were tested. Data for this study was taken from the scientific and research project “Possibilities of improving intellectual, motor, and cardiorespiratory abilities in children using kinesiological activities” (Ref. No. 179011), implemented at the Faculty of Sport and Physical Education in Novi Sad, Serbia in accordance with the Helsinki Declaration.
Instruments and measurements
The sample of measuring instruments included 4 motor tests generating the criterion variables: One- leg stand test, Mann’s test, Front raise and
Two cognitive tests, Raven's colored progressive matrices (RCPM) and Cognitive assessment (CA), with a total of 5 scales for assessment of cognitive abilities in children, was comprised the system of predictor variables.
EQOL Journal (2021) 13(1):
Description of Motor Skills Assessment
The respondent stands on the dominant leg, lifts the other leg off the ground, bending it at the knee in parallel to the ground. When the respondent finds balance, he/she closes his/her eyes and stands in that position until he/she loses balance. The result of the tests is the time from the moment the respondent closes his/her eyes in the initial position until he/she breaches any requirement of proper test performance.
Mann’s test
The respondent stands on a line marked on the ground, maintaining balance, while his/her big toe of the rear foot touches the heel of the front foot, then he/she closes his/her eyes and remains in the same position until he/she loses balance. The result is the time measured from the moment the respondent closes his/her eyes in the initial position until he/she breached any requirement for the performance of the task.
Front raise
The respondent closes his/her eyes and raises the dominant arm straight out in front of him/her, stays in that position for a while so that the examiner may assess whether the arm is parallel to the ground, then he/she lowers the arm down to the hips and repeats the task for 3 more times (4 front raises in total). The task continues with the
The respondent stands firm on the ground with arms abducted. The respondent touches the nose with the index finger of the dominant hand and abducts the arm. The respondent performs the same task with the index finger of the
contacts with the tip of the nose, 4 attempts with the dominant and 4 attempts with the
Description of Cognitive assessment
Raven's colored progressive matrices (RCPM)
Raven’s colored progressive matrices (Raven 1938, 2000) is one of the most commonly applied tests for assessing the intelligence of preschool children and
The tests were carried out in groups and the time for completion was unlimited in accordance with the recommendation of the Center for Applied Psychology (Serbia) which was in charge of the distribution of tests used in the research. The instructions for solving the test were identically presented to each group by the same examiners. The test was in the form of a booklet and the respondent’s
Cognitive Assessment System (CAS)
Cognitive Assessment System battery of tests is intended to assess the abilities and the level of cognitive functioning in children with and without development defects and is designed based on PASS
theory (Planning, Attention, Simultaneous, Successive) (Naglieri & Das, 1997). CAS provides data on the levels of cognitive efficiency in the processing of information and the accompanying test materials enable the establishing of the cognitive status of the respondents with respect to their age group. Results obtained from the CAS battery of tests may be used to predict achievement (Naglieri & Rojahn, 2004), assess the presence of attention deficit disorder or ADHD, learning problems (Naglieri, 2005), mental retardation, mechanical brain injuries (Das, Naglieri, & Kirby, 2003) or emotional issues. CAS may also be used within programs of identification and teaching of gifted children (Naglieri & Das, 1997). CAS battery comprises four scales: Planning, Attention, Simultaneous processes, and Successive processes. CAS battery is applied to each respondent separately. The time for solving the
33
EQOL Journal (2021) 13(1):
test and the number of correct answers were recorded in the results form, where the total test score was calculated later on.
Data analysis
The basics descriptive indicators were calculated for each test: arithmetic mean (M), standard deviation (S), minimum (MIN) and maximum (MAX) values, measure of asymmetric distribution (SKEW) and measure of homogenous distribution (KURT). The normality of data distribution was tested by applying the
attempts were coded with 0 and those who achieved that percentage of success with 1. Binary logistic regression was used for analyzing the relation between the system of cognitive predictors and these criteria variables. For binary regression analysis, two criteria were applied to determine the magnitude of the effect size, with the estimate of the possible effect expected between the Cox & Snell R Square and Nagelkerke R Square values.
The alpha level of statistical significance of p=0.05 was used for all analyses, where the values p<0.05 were considered statistically significant. The statistical data analysis was carried out using IBM SPSS Statistics 20.0 software (SPSS Inc., Armonik, NI, USA) and Jamovi (Jamovi project,ver 1.8).
Linear regression analysis was used for analyzing the relation between the system of cognitive predictors and the criteria variables
For criteria variables Front raise and
Results
The analysis of the basics descriptive statistics (Table
1)indicates that the distribution of results in the applied variables does not significantly deviate from the normal distribution in terms of statistics. The obtained skewness values indicate that there is no substantial asymmetry of the results in the analyzed variables. The negative values of kurtosis for a significant number of variables indicate the presence of platykurtosis of distribution, meaning an increased result variability, especially referring to the variables for assessing manual coordination and balance.
Table 1. Basic descriptive statistics
Variable |
Mean |
SD |
MIN |
MAX |
Skew |
Kurt |
SW |
Raven’s PMC |
24.29 |
5.49 |
14 |
34 |
0.94 |
||
Planning |
98.15 |
12.87 |
74 |
137 |
0.41 |
0.61 |
0.70 |
Simultaneous process |
112.20 |
9.90 |
91 |
126 |
0.32 |
||
Attention |
106.80 |
13.07 |
79 |
133 |
0.62 |
||
Successive process |
108.32 |
14.39 |
75 |
140 |
0.06 |
0.15 |
0.69 |
3.96 |
0.83 |
2.30 |
5.48 |
0.09 |
0.63 |
||
Mann’s test |
3.94 |
0.99 |
2.20 |
6.61 |
0.57 |
0.61 |
SW – significance of
The analysis of the relationship between the system of predictors and the criterion variable Mann’s test (Table 2) indicated no statistically significant effect of the system of predictor variables on the criterion variable (F = 1.129; P=0.363; adjR2=0.139). The presence of heteroskedasticity in the analyzed relationship was not determined. If each predictor variable is considered separately, one can also see that
none of them has any statistically significant effect on the criterion variable.
34
EQOL Journal (2021) 13(1):
Table 2. Results of Linear regression analysis for the Mann’s test
Variables |
β |
t |
p |
Raven’s PMC |
0.240 |
1.317 |
0.196 |
Planning |
0.459 |
||
Simultaneous |
0.126 |
||
process |
|
|
|
Attention |
0.554 |
||
Successive process |
0.021 |
0.125 |
0.901 |
BP = 4.82 P = 0.438 |
|
Table 3. Results of Linear regression analysis for
Variables |
β |
t |
p |
Raven’s PMC |
0.040 |
0.215 |
0.831 |
Planning |
0.221 |
||
Simultaneous |
0.332 |
||
process |
|
|
|
Attention |
0.057 |
0.309 |
0.759 |
Successive process |
0.203 |
1.173 |
0.249 |
BP = 3.13 P = 0.681 |
|
βBeta - standardized regression coefficient; t – value of t- test; P – statistical significance of t test; BP - Breusch– Pagan test for heteroskedasticity; P- statistical significance of
The results of the regression analysis for the criterion variable
The results of the Binary logistic regression analysis of the relation between
Table 4. Results of Binary logistic regression of
Variable |
Wald |
p |
OR |
|
95% C.I |
Raven’s PMC |
8.970 |
0.003 |
1.461 |
1.140 |
1.872 |
Planning |
1.414 |
0.234 |
0.950 |
0.873 |
1.034 |
Simultaneous process |
0.239 |
0.625 |
0.971 |
0.862 |
1.093 |
Attention |
0.341 |
0.559 |
1.023 |
0.949 |
1.102 |
Successive process |
0.947 |
0.330 |
0.969 |
0.910 |
1.032 |
|
|
|
|
|
|
19.678 |
0.001 |
|
|
|
Wald - value of Wald coefficient; p - significance of Wald coefficient; OR - odds ratio; 95% CI - 95% confidence interval for OR.
Based on the results of the logistic regression analysis of Front raise with both arms variable (Table 5), one may conclude that there is no statistically significant effect of the system of predictors on the successful
performance of this test. None of the predictors showed statistically significant relation to this variable.
Table 5. Results of the Binary logistic regression of Front raise with both hands
Variable |
Wald |
p |
OR |
|
95% C.I |
Raven’s PMC |
1.450 |
0.229 |
1.097 |
0.943 |
1.276 |
Planning |
2.528 |
0.112 |
0.944 |
0.879 |
1.013 |
Simultaneous process |
0.003 |
0.955 |
1.003 |
0.918 |
1.094 |
Attention |
2.233 |
0.135 |
1.050 |
0.985 |
1.119 |
Successive process |
0.563 |
0.453 |
1.020 |
0.969 |
1.073 |
|
|
|
|
|
|
5.403 |
0.369 |
|
|
|
|
|
|
|
|
|
|
35
EQOL Journal (2021) 13(1):
Discussion
This research was aimed at exploring the relation between cognitive abilities and manual coordination and balance in preschool children. The results obtained indicate that the recent studies that explored the same or similar issues among different population confirm the results of the present research (Dunsky, 2019; Pietch el al., 2017; Hagovská & Olekszyová, 2016; Asonitou et al., 2012; Michel et al., 2011). Ismaila et al., (1917) pointed out that there is a high positive correlation between the balance and coordination factors and the general cognitive factor. Having in mind that this is a partially symmetric effect of cognitive abilities on motor skills, it is possible to assume that coordination and balance development exercises will have a positive effect on cognitive abilities, especially in children younger than
Cognitive abilities are responsible for the processes of anticipation, planning,
Motor coordination tests also comprise specific
36
process more information in a quicker manner. Such data suggest that physical activity may contribute to the improvement in cognitive abilities and enable efficient response to the challenge at hand along with better performance.
The advantage of this study is reflected in its emphasis on the importance of motor skills development and early discovery of low cognitive functioning in children with the aim of timely intervention, which would prevent certain development defects in everyday life of children.
The present study also has its limitations. This research did not include a large sample of respondents, which may be deemed one of its disadvantages. The socioeconomic status of children and their parents should have been included in order to obtain a more comprehensive picture as to the relation between motor skills and cognitive functions. Secondly, it would be beneficial to include an experimental treatment and compare the results with the children who do not engage in additional physical activity, for the purpose of emphasizing the importance of the same.
Conclusion
Based on the results of the present research, a conclusion may be drawn that there is a statistically significant relation between cognitive abilities and manual coordination in the tested sample of preschool children. A better understanding of the significance and relation of motor skills and the psychosomatic status of children may contribute to designing new and more efficient programs of physical exercises, which would prove to be both socially and physically beneficial for the population.
Acknowledgments
The paper is a part scientific and research project “Possibilities of improving intellectual, motor, and cardiorespiratory abilities in children using kinesiological activities” (Ref. No. 179011), implemented at the Faculty of Sport and Physical Education in Novi Sad, Serbia in accordance with the Helsinki Declaration.
References
Abdelkarim, O., Ammar, A., Chtourou, H., Wagner, M., Knisel, E., Hökelmann, A., & Bös, K. (2017). Relationship between motor and cognitive learning
EQOL Journal (2021) 13(1):
abilities among primary
Asonitou, K., Koutsouki, D., Kourtessis, T., & Charitou, S. (2012). Motor and cognitive performance differences between children with and without developmental coordination disorder (DCD). Res Dev Disabil. 33(4),
Biddle, S. J., Ciaccioni, S., Thomas, G., & Vergeer, I. (2019). Physical activity and mental health in children and adolescents: An updated review of reviews and an analysis of causality. Psychology of Sport and Exercise, 42,
Budde, H.,
Clark, J. E., & Metcalf, J. M. (2002). The mountain of motor development: A metaphor. In J.E. Clark & J. H. Humphrey (Eds.), Motor development: Research and reviews (vol. 2, pp.
Corbin, C. B., Pangrazi, R. P., and Franks, B. D. (2000). Definitions: health, fitness, and physical activity. Pres. Counc. Phys. Fit. Sports Res. Dig. 3,
Das, J. P., Naglieri, J. A., & Kirby, J. R. (1994). Assessment of cognitive processes. Needham Heights, MA: Allyn & Bacon.
Davies, S., Janus, M., Duku, E., & Gaskin, A. (2016). Using the Early Development Instrument to examine cognitive and
Research Quarterly, 35,
Diamond, A. (2010). The evidence base for improving school outcomes by addressing the whole child and by addressing skills and attitudes, not just content. Early Education and Development, 21(5),
Dolenc, M., Pistotnik, B., & Pinter, S. (2002). Correlation Between Coordination and Cognitive Abilities of Girls
Dunsky A. (2019). The Effect of Balance and Coordination Exercises on Quality of Life in Older Adults: A Mini- Review. Frontiers in aging neuroscience, 11, 318. https://doi.org/10.3389/fnagi.2019.00318
Frick, A., & Möhring, W. (2016). A matter of balance: motor control is related to children’s spatial and proportional reasoning skills. Frontiers in Psychology, 6, 2049.
Intervention on
203.
Understanding motor development: Infants, children,
adolescents, adults;
Barbeau, K., Hedayati, N., Pointfex, M.B., Goldfield, G.S., Dunlap, C., & Lehan, E. (2019). Physical activity and brain structure, brain function, and cognition in children and youth: A systematic review of randomized controlled trials. Ment. Health Phys. Act. 16,
Hagovská, M., & Olekszyová, Z. (2016). Relationships between balance control and cognitive functions, gait speed, and activities of daily living. Beziehung zwischen der Kontrolle des Körpergleichgewichts und kognitiven Funktionen, Gehgeschwindigkeit sowie
Aktivitäten des täglichen Lebens. Zeitschrift fur Gerontologie und Geriatrie, 49(5),
The jamovi project (2021). jamovi. (Version 1.8)
[Computer Software]. Retrieved from https://www.jamovi.org.
Hillman, C. H., Pontifex, M. B., Raine, L. B., Castelli, D. M., Hall, E. E., & Kramer, A. F. (2009). The effect of acute treadmill walking on cognitive control and academic achievement in preadolescent children. Neuroscience,
Ismail, A. H., & Gruber, J. J. (1971). Integrated Development
LaVigne, T., Hoza, B., Smith, A. L., Shoulberg, E. K., & Bukowski, W. (2016). Associations between physical fitness and children’s psychological
Lopes, V. P., Stodden, D. F., Bianchi, M. M., Maia, J. A. R., & Rodrigues, L.P. (2012). Correlation between BMI and motor coordination in children. J. Sci. Med. Sport. 15,
Malina, R.M., Bouchard, C., &
Michel, E., Roethlisberger, M., Neuenschwander, R., & Roebers, C. M. (2011). Development of cognitive skills in children with motor coordination impairments at 12- month
Naglieri, J. A. & Das, J. P. (2005). Planning, Attention, Simultaneous, Successive (PASS) theory: A Revision of the Concept of Intelligence. In D. P. Flanagan and P. L. Harrison (Eds.) Contemporary Intellectual Assessment (Second Edition) (pp.
Naglieri, J. A., & Rojahn, J. R. (2004). Validity of the PASS Theory and CAS: Correlations with Achievement. Journal of Educational Psychology, 96,
37
EQOL Journal (2021) 13(1):
Naglieri, J. A., (2005). The Cognitive Assessment System. In D. P. Flanagan and P. L. Harrison (Eds.) Contemporary Intellectual Assessment (Second Edition), (pp.
Phirom, K., Kamnardsiri, T., & Sungkarat, S. (2020). Beneficial Effects of Interactive
Pietsch, S., Böttcher, C., & Jansen, P. (2017). Cognitive motor coordination training improves mental rotation performance in primary school‐aged children. Mind, Brain, and Education, 11(4),
Rajović, R., Berić, D., Bratić, M., Živković, M., & Stojiljković, N. (2017). Effects of an “NTC” exercise program on the development of motor skills in preschool children. Facta Universitatis, Series: Physical Education and Sport,
Raven, J. (2000). The Raven's progressive matrices: change and stability over culture and time. Cognitive psychology, 41(1),
How to cite this article:
Raven, J. C., & JH Court. (1938). Raven's progressive matrices. Los Angeles, CA: Western Psychological Services.
Smith, J. J., Eather, N., Morgan, P. J., Plotnikoff, R. C., Faigenbaum, A. D., & Lubans, D. R. (2014). The health benefits of muscular fitness for children and adolescents: a systematic review and meta- analysis. Sports medicine, 44(9),
Sofi, F., Valecchi, D., Bacci, D., Abbate, R., Gensini, G.F., Casini, A., & Macchi, C. (2011). Physical activity and risk of cognitive decline: A
Stojanović, M. i Stojanović, M. (2006). Razvojne promene relacija motoričkog statusa i inteligencije dece uzrasta
Vickerman, P. (2008). Ecological intervention for children with movement difficulties (Manual) – By David Sugden and Sheila Henderson. British Journal of Special Education, 35(4),
Yang, C.M., Hsieh, J.S.C., Chen, Y.C., Yang, S.Y., & Lin, H.C.K. (2020). Effects of Kinect exergames on balance training among community older adults. Medicine, 99.
Sadri, F., Sadri, I., Krneta, Ž., Trbojević Jocić, J., & Batez, M. (2021).
Relationship between cognitive abilities and manual coordination
APA:and balance in preschool children. Exercise and Quality of Life, 13(1),
Sadri, Filip, et al. "Relationship between cognitive abilities and manual
MLA:coordination and balance in preschool children." Exercise and Quality of Life 13.1 (2021):
Sadri, Filip, Ivo Sadri, Željko Krneta, Jovana Trbojević Jocić, and Maja
Batez. "Relationship between cognitive abilities and manual
Chicago:coordination and balance in preschool children." Exercise and Quality of Life 13, no. 1 (2021):
38