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121

CORRELATION OF BODY COMPOSITION WITH SPEED AND 
AGILITY OF CHILDREN AGED 9-10

Mima STANKOVIĆ1, Dušan ĐORĐEVIĆ1, Milan ZELENOVIĆ1,2, Danijel BOŽIĆ1,2

1Faculty of Sports and Physical Education, Doctoral Academic Studies, University of Niš, Niš, 
Republic of Serbia.

2Faculty of Physical Education and Sport, University of East Sarajevo, East Sarajevo, Bosnia 
and Herzegovina.

Corresponding author:
Milan ZELENOVIĆ

Faculty of Physical Education and Sport, University of East Sarajevo, Aleksa Šantić 3, East 
Sarajevo 71123, Bosnia and Herzegovina.

Phone: +387 66 513 469
E-mail: milan.zelenovic@ffvis.ues.rs.ba, milanzeleni13@gmail.com

ABSTRACT

Purpose: Physical growth of children is measured by changes in body size and/or 
body composition, as well as by changes in motor skills. Motor skills can be affected by 
many factors, such as genetic predisposition, body composition, socio-economic condi-
tions, and the like. Accordingly, the aim of the research is to determine the correlation 
between body composition with speed and agility of children aged 9 to 10 years.

Methods: The sample included 40 participants (29 boys and 11 girls, 9.47 ± 0.5 
years). Body height (BH), body weight (BW), body mass index (BMI) and body fat (BF), 
and basal metabolism (BMR) were determined to assess body composition. The BOT-
2 subtest was used to assess speed and agility, which includes: Shuttle Run (1SAA), 
Stepping Sideways over a Balance Beam (2SAA), One-Legged Stationary Hop (3SAA), 
One-Legged Side Hop (4SAA), Two-Legged Side Hop (5SAA), and Total Speed and 
Agility (TSAA).

Results: The results of correlation statistics indicated the existence of negative cor-
relations between: height and 3SAA (r = -.353, p = .026); weight and 3SAA (r = -.422, 
p = .007); weight and TSAA (r = -.359, p = .023); BMI and 3SAA (r = -.342, p = . 031); 
BMI and TSAA (r = -.333, p = .036); BMR and 3SAA (r = -.369, p = .019); BMR and 
TSAA (r = -.363, p = .021).

Conclusion: Based on the results obtained in this study, it can be concluded that 
there is a correlation between body composition and speed and agility. In addition to 
body composition, a correlation was found between body height and performance of 

Original scientific article                                         doi: https://doi.org/10.35469/ak.2020.257
received: 2020-11-30                                      UDC: 612.65:796.012.1



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one-legged stationary hop, as well as between basal metabolism, the one-legged sta-
tionary hop test and the overall results achieved in motor skill tests.

Keywords: fat, basal metabolism, motor abilities, OMRON

KORELACIJA MED TELESNO ZGRADBO IN HITROSTJO 
OZIROMA GIBČNOSTJO PRI OTROCIH, STARIH OD 9 DO 10 LET

IZVLEČEK

Cilj: Telesna rast otrok se meri s spremembami v telesni velikosti in/ali konstituciji 
ter s spremembami v motoričnih spretnostih. Na slednje lahko vpliva več dejavnikov, 
od genetske predispozicije in telesne zgradbe, do socialno-ekonomskih razmer in po-
dobno. V skladu s tem je bil cilj naše raziskave ugotoviti, v kakšni korelaciji sta telesna 
zgradba in hitrost oziroma gibčnost pri otrocih, starih od 9 do 10 let. 

Metode: Vzorec je zajemal 40 udeležencev (29 dečkov in 11 deklic, starih 9.47 ± 
0.5 let). Pri določanju tipa konstitucije smo upoštevali telesno višino (TV), telesno težo 
(TT), indeks telesne mase (ITM) in telesno maščobo (TM) ter bazalni metabolizem 
(BM). Hitrost in gibčnost smo ocenjevali s podtestom BOT-2, ki je vključeval: trajajoči 
tek sem-tja (1SAA), bočno prestopanje ravnotežnostne gredi (2SAA), enonožne poskoke 
na mestu (3SAA), enonožne poskoke vstran (4SAA), sonožne poskoke vstran (5SAA) in 
skupni testni dosežek (TSAA).

Rezultati: Rezultati so nakazali prisotnost negativnih korelacij med: višino in 3SAA 
(r=-.353, p=.026); težo in 3SAA (r=-.422, p=. 007); težo in TSAA (r=-.359, p=.023); 
ITM in 3SAA (r=-.342, p=. 031); ITM in TSAA (r=-.333, p=.036); BM in 3SAA (r=-
.369, p=. 019); BM in TSAA (r=-.363, p=.021).

Zaključek: Na podlagi rezultatov študije lahko sklenemo, da obstaja korelacija med 
telesno zgradbo ter hitrostjo in gibčnostjo. Poleg tega smo zaznali tudi korelacije med 
telesno višino in izvedbo enonožnih poskokov na mestu ter med bazalnim metaboliz-
mom, izvedbo enonožnih poskokov na mestu in skupnim rezultatom, doseženim na testih 
motoričnih spretnosti.

Ključne besede: maščoba, bazalni metabolizem, motorične sposobnosti, OMRON



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INTRODUCTION

Physical growth of children is measured by changes in body size and/or body com-
position as well as changes in motor skills. Physical activity is considered a key factor 
in the healthy physical and mental development of children (Dencker & Andersen, 
2008; Ortega, Ruiz, Castillo, & Sjöström, 2008). Regardless of the fact that motor 
skills during the younger school age (from 7 to 10 years) are not completely differenti-
ated yet, this period is very important in the development of especially basic (general) 
motor skills. Motor abilities are those anthropological dimensions that are manifested 
in movement in a way that depends on the type of movement, human potential, and its 
development in the current moment and conditions (Bala, 2010). Basic motor skills are 
those that most people possess, and specific ones are those that are created or developed 
over time, which is most evident in athletes (Nićin, 2000).

Motor abilities can be affected by many factors, such as genetic predisposition, 
body composition, socio-economic conditions, and the like. By body composition we 
refer to the composition of the human organism represented by the size and grouping of 
the existing measurable segments of which it consists (Ugarković, 2001).

Different batteries of tests are used to assess motor abilities, adjusted to the age of 
the respondents, as well as the level of motor abilities assessed. The standardized bat-
tery of tests, most commonly used to assess motor abilities in children, is the BOT-2 
(Bruininks-Oseretsky Test) (Bruininks & Bruininks, 2005).

Research has shown that overweight and obese children have impaired motor skills 
compared to healthy-weight children, especially in the domain of strength (Đokić & 
Međedović, 2013). When the Body Mass Index (BMI) is taken into account, studies un-
equivocally indicate an association between increased BMI and decreased motor skills 
in children of different ages (Graf et al., 2004; D’Hondt, Deforche, De Bourdeaudhuij, 
& Lenoir, 2009; Đokić & Međedović, 2013).

Kemp & Pienaar (2013) conducted research to determine the association between 
body composition and motor abilities of children in South Africa. Motor abilities were 
measured using the Bruiniks-Oseretsky Test of Motor Proficiency-2 SF (BOT 2-SF). 
The obtained results showed a negative correlation between running speed and agility 
and an increased percentage of fat in children. Gentier et al., (2013) analyzed the dif-
ferences between fine and gross motor skills in children of normal weight and obese 
children, aged 7 to 13 years. The BOT-2 test was used to analyze motor abilities. The 
results showed that obesity is detrimental to performance in all subtests that assess 
motor speed, which means that obesity also has a bad effect on test results for run-
ning speed and agility. Marmeleira, Veiga, Cansado, and Raimundo (2017) conducted 
research with the aim of determining the association of motor abilities with the body 
composition of children aged 6 to 10 years. The results showed that children with nor-
mal weight achieved better results in all tests compared to their overweight or obese 
peers. Larsen et al. (2017) conducted an analysis in children from Denmark, ages 8 to 
10, to establish differences in body composition and motor abilities in child athletes and 



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non-athletes. The results obtained with this test indicated that boys and girls who scored 
better in speed tests also had better results in relation to body composition.

The aim of this research is to examine the relationship between body composition, 
speed and agility in children aged 9 to 10 years.

METHODS

Sample of participants

In accordance with the set goal, a sample of respondents consisting of third grade 
pupils of the “Miroslav Antić” elementary school from Niš was selected for this re-
search. The sample included 40 participants (29 boys and 11 girls), aged 9.42 ± 0.5 
years, with all the respondents being clinically healthy and at the time of measurement 
displaying no obstructions of the locomotors apparatus that would limit or interfere 
with the performance. Parents gave their consent for the testing to be performed, and 
all the examinees voluntarily participated in the testing.

Sample of measuring instruments

Measuring instruments were used in the research to assess body composition, speed 
and agility. The characteristics of the sample were assessed: height was measured with 
a ruler with an accuracy of 0.1 cm; weight, body mass index (BMI), body fat (BF) and 
basal metabolism (BMR) were measured with the Body Composition Monitor BF511 
(OMRON). To assess speed and agility, the BOT-2 test subtest “Running speed and 
agility BOT-2 test” for motor efficiency of children was applied, which includes the fol-
lowing tests: Shuttle Run (1SAA), Stepping Sideways over a Balance Beam (2SAA), 
One-Legged Stationary Hop (3SAA), One-Legged Side Hop (4SAA), Two-Legged 
Side Hop (5SAA) and Total Speed and Agility (TSAA).

Shuttle Run (1SAA)

The test is performed by the examinee standing at the starting line in the high start 
position, running 7.62 meters to pick up a ball off the floor and returning to the start. 
The test is performed twice, the time is measured with an accuracy of 0.1 seconds.

Stepping Sideways over a Balance Beam (2SAA)

The test is performed by the examinee standing next to the obstacle with hands on 
hips, then stepping sideways over the obstacle with one foot and then the other, and 



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returning over the obstacle to the starting position in the same way. The procedure is 
repeated for 15 seconds. The obtained result is expressed in the number of individual 
sidesteps.

One-Legged Stationary Hop (3SAA)

The test is performed by the examinee standing with feet together, hands on hips, 
bending the weaker leg at the knee so that the lower leg is parallel to the floor. From this 
starting position, the examinee hops up and down on one leg. The test lasts 15 seconds, 
and the result is expressed in the number of correctly performed hops.

One-Legged Side Hop (4SAA)

The test is performed by the examinee standing with both feet together, next to and 
parallel to the line, with hands on hips, bending the weaker leg at the knee so that the 
lower leg is parallel to the floor. From this starting position, the examinee hops back 
and forth over the line. The test lasts 15 seconds, and the result is expressed in the num-
ber of correctly performed hops.

Two-Legged Side Hop (5SAA)

The test is performed by the examinee standing with feet together, next to and paral-
lel to the line, hands on hips, hopping back and forth over the line keeping proper pos-
ture with each hop. The test lasts 15 seconds, and the result is expressed in the number 
of correctly performed hops.

Total Speed and Agility (TSAA)

Total Speed and Agility is defined as the sum of points scored in each test.
The testing of the children’s sample was performed in a gym. The internal tempera-

ture in the standardly equipped school hall for physical education was 18-22 °C. All the 
respondents were tested under the same conditions and reported for measurement and 
testing in the same order under the guidance of a professor. During the examination, the 
respondents were in physical education kits.



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Data processing

The processing of data obtained by this research was performed using the statisti-
cal program SPSS version 20. For all data obtained by the measurement, the basic 
central and distribution parameters of descriptive statistics were calculated. Correlation 
analysis (Pearson’s degree of correlation) was used to determine whether there was a 
relationship between body composition parameters and speed and agility of children 
aged 9 to 10 years.

RESULTS

Table 1. Descriptive statistic

N Minimum Maximum Mean Std. Deviation
Age 40 9 10 9.47 .506
Height 40 125.0 154.0 140.23 5.94
Weight 40 27.20 57.00 38.65 8.23
BMI 40 14.40 28.50 19.58 3.50
BF 40 9.20 43.20 24.55 8.68
BMR 40 1087 1476 1244.23 100.57
1ASS 40 12 12 12.00 .000
2ASS 40 8 10 9.47 .560
3ASS 40 7 10 8.61 .728
4ASS 40 1 8 4.94 1.970
5ASS 40 5 9 7.14 .867
TSAA 40 33 47 42.17 2.962

N sample size, BMI body mass index, BF body fat, BMR basal metabolism, 1SAA Shuttle Run, 
2SAA Stepping Sideways over a Balance Beam, 3SAA One-Legged Stationary Hop, 4SAA One-
Legged Side Hop, 5SAA Two-Legged Side Hop, TSAA Total Speed and Agility

Table 1 shows basic descriptive parameters: sample size (N), minimal result, maxi-
mum result, arithmetic mean (Mean), and standard deviation (Std. Deviation) for each 
variable separately. On the 1ASS test each respondent achieved maximum result, that 
is, they scored the highest number of points (Mean 12; Std. Deviation .000) possible. 
Consequently, the correlation analysis wasn’t performed. 



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Table 2. Correlation analysis (Pearson’s correlation coefficient)

 2SAA 3SAA 4SAA 5SAA TSAA

Height -0.143 -.353* -0.115 -0.217 -0.271

Weight -0.254 -.422** -0.223 -0.136 -.359*

BMI -0.227 -.342* -0.247 -0.087 -.333*

BF -0.207 -0.304 -0.199 -0.065 -0.279

BMR -0.17 -.369* -0.272 -0.143 -.363*

BMI body mass index, BF body fat, BMR basal metabolism, 2SAA Stepping Sideways over a 
Balance Beam, 3SAA One-Legged Stationary Hop, 4SAA One-Legged Side Hop, 5SAA Two-
Legged Side Hop, TSAA Total Speed and Agility
* p<0.05

Based on the results of the correlation analysis shown in Table 2, between the pa-
rameters of body composition and motor abilities of children aged 9 to 10 years, the 
existence of statistically significant correlations was determined. The results of correla-
tion statistics indicated the existence of the following correlations:

 – Negative correlation (r = -.353) between height and 3SAA parameters, with sta-
tistical significance p = .026;

 – Negative correlation (r = -.422) between weight and 3SAA parameters, with 
statistical significance p = .007;

 – Negative correlation (r = -.359) between weight and TSAA parameters, with 
statistical significance p = .023;

 – Negative correlation (r = -.342) between BMI and 3SAA parameters, with sta-
tistical significance p = .031;

 – Negative correlation (r = -.333) between BMI and TSAA parameters, with sta-
tistical significance p = .036;

 – Negative correlation (r = -.369) between BMR and 3SAA parameters, with sta-
tistical significance p = .019;

 – Negative correlation (r = -.363) between the parameters of basal metabolism 
BMR and TSAA, with statistical significance p=.021.

DISCUSSION

Research studies analyzed for the purposes of this paper (Kemp & Pienaar, 2013; 
Gentier et al., 2013; Marmeleira et al., 2017) did not relate the height of the respondents 
with the success in performing motor skill tests used to determine running speed and 
agility. This negative correlation obtained in this study can be explained by the fact that 
while children of that age very often grow abruptly, the muscular strength and body 



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growth may not develop at similar rates, and, as it is already known, explosive strength 
is one of the essential parameters of agility and running speed.

Previous research has shown a negative correlation between body weight of the 
respondents, regardless of gender, and success in performing motor tests for speed 
running and agility. Research conducted in Africa showed a negative association in 
children with an average age of 6.84 years (Kemp & Pienaar, 2013), who were slightly 
younger than the respondents in this study where there were statistically significant 
negative correlations between the body weight of the respondents and motor skill tests 
results, as well as between BMI and motor skill tests results. Specifically, the One-
-Legged Stationary Hop test and the Overall Motor Skills test results were negatively 
correlated with BMI values and weight of the respondents.

Previous research analyzed in this paper (Baine, Gorman, Kern, Hunt, Denny, & 
Farry, 2009; Gentier et al., 2013; Chowdhury, Wrotniak, & Ghosh, 2016; Marmeleira et 
al., 2017) investigated the influence of increased body weight and BMI on the perfor-
mance of motor skill tests for running speed and agility, which were part of the BOT-2 
test. Such a correlation between agility and increased body weight may result from the 
fact that most children with increased body weight are less physically active, so their 
muscles are less developed. As previously explained, muscle development is directly 
related to muscle strength, which affects the speed of running and the speed of change 
of direction. Moreover, the results obtained in this study show that BMI and weight are 
negatively correlated with the overall results of motor skill tests, which coincides with 
the results of research that confirmed that obese children achieve poorer results on mo-
tor tests (Baine et al., 2009; Đokić & Međedović, 2013; Chowdhury et al., 2016). Such 
results assume that children with increased body weight and body mass index (BMI) 
are motor weaker than their peers with normal body weight. Obesity in children at that 
age usually results from insufficient physical activity.

In addition to the analysis of body composition, the correlation of BMR with tests 
of motor abilities for agility and running speed was analyzed. The study showed that 
BMR is negatively correlated with 3SAA and TSAA. The dominant factors that affect 
the value of basal metabolism are the size of the organism, age and sex. As we have 
seen, BMR directly depends on body surface area and cell mass. Obese people have a 
larger body surface area and a higher cell mass compared to children of normal weight, 
so the rate of metabolism in obese people is higher. Based on the above, we can conclu-
de that BMR is directly proportional to weight and BMI, thus explaining the negative 
correlation between BMR and the One-Legged Side Hop test (3SAA) and the overall 
results achieved (TSAA) on the motor skill test.

The fact that there is no correlation between the body composition and other tests 
used to assess running speed and agility, excepting the One-Legged Stationary Hop 
tests can be explained by the small number of examinees as well as by the motivation 
the examinees themselves had during the testing.



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CONCLUSION

Based on the results obtained in this study it can be concluded that there is a corre-
lation between body composition and speed and agility. In addition to the physical com-
position, a correlation was also found between body height and the performance of the 
One-Legged Stationary Hop tests, as well as between basal metabolism, One-Legged 
Stationary Hop tests, and the overall results achieved on motor skill tests.

The limitation of this study is the small number of participants, so we suggest a 
larger sample for future research and a separate treatment of boys and girls.

The obtained results are important for further work, because they proved a correlati-
on between body composition, speed and agility; but in future research a larger sample 
of respondents of the same age should be examined. Also, the differences depending on 
the gender of the respondents could be taken into account.

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