Page 12 - Petelin Ana. Ur. 2022. Zdravje otrok in mladostnikov / Health of children and adolescents. Proceedings. Koper: Založba Univerze na Primorskem/University of Primorska Press
P. 12
avje otrok in mladostnikov | health of children and adolescents 12 schools were included in the further study at the end of the first three years (i.e.,
66 third grade students, 33 from Slovenia and 33 from Austria).
A sample of variables
We included the “beep test” (Leger and Lampert, 1982) in the sample of varia-
bles. The “beep test” is a standardized test for measuring aerobic power. From
the partial values obtained, the maximum oxygen uptake can be determined
in the tables for each age.
The organization and process of data collection
All participating students took the test voluntarily. The administration of the
test and the method of motivation were the same for all students. We adminis-
tered the test at approximately the same time (morning time, April 2022). En-
durance is influenced by many factors that we wanted to mitigate as much as
possible (daily well-being, prolonged illness, individual participation in endur-
ance activities during leisure time, etc.). Only healthy students were included
in the sample. By increasing the sample size, we aimed to reduce individual in-
fluences on the outcome. Students were required to run a distance of 20 me-
ters as many times as possible, taking into account the running pace, which in-
creased by 0.5 km/h every minute at an initial speed of 8.5 km/h. Results were
recorded as the sum of all partial distances the student could still cover at the
given speed.
Methods of data processing
The data obtained from the “beep test” were processed using the statistical pro-
gram SPSS 21 (Statistical Package for The Social Science). For the comparison
between Slovenian and Austrian students, due to the abnormally distributed
data, the alternative nonparametric Mann Whitney U test was used to detect
statistically significant differences between students. Statistical significance
was tested at the 5 percent risk level.
Results
The results of our investigation are presented in a table and a figure. In figure 1
we present a comparison between Slovenian and Austrian students in terms of
the average sublevel achieved, while the table shows whether the perceived dif-
ferences are statistically significant.
Figure 1 shows that Austrian students passed an average of 26.7 sublevels
of the beep test, while Slovenian students passed 33.4 sublevels. Using the Kol-
mogorov-Smirn test, we found that the distribution curves of the results for
both the Austrian and Slovenian students did not conform to the normal dis-
tribution. Therefore, we used nonparametric tests below to measure the differ-
ences between the groups of students.
66 third grade students, 33 from Slovenia and 33 from Austria).
A sample of variables
We included the “beep test” (Leger and Lampert, 1982) in the sample of varia-
bles. The “beep test” is a standardized test for measuring aerobic power. From
the partial values obtained, the maximum oxygen uptake can be determined
in the tables for each age.
The organization and process of data collection
All participating students took the test voluntarily. The administration of the
test and the method of motivation were the same for all students. We adminis-
tered the test at approximately the same time (morning time, April 2022). En-
durance is influenced by many factors that we wanted to mitigate as much as
possible (daily well-being, prolonged illness, individual participation in endur-
ance activities during leisure time, etc.). Only healthy students were included
in the sample. By increasing the sample size, we aimed to reduce individual in-
fluences on the outcome. Students were required to run a distance of 20 me-
ters as many times as possible, taking into account the running pace, which in-
creased by 0.5 km/h every minute at an initial speed of 8.5 km/h. Results were
recorded as the sum of all partial distances the student could still cover at the
given speed.
Methods of data processing
The data obtained from the “beep test” were processed using the statistical pro-
gram SPSS 21 (Statistical Package for The Social Science). For the comparison
between Slovenian and Austrian students, due to the abnormally distributed
data, the alternative nonparametric Mann Whitney U test was used to detect
statistically significant differences between students. Statistical significance
was tested at the 5 percent risk level.
Results
The results of our investigation are presented in a table and a figure. In figure 1
we present a comparison between Slovenian and Austrian students in terms of
the average sublevel achieved, while the table shows whether the perceived dif-
ferences are statistically significant.
Figure 1 shows that Austrian students passed an average of 26.7 sublevels
of the beep test, while Slovenian students passed 33.4 sublevels. Using the Kol-
mogorov-Smirn test, we found that the distribution curves of the results for
both the Austrian and Slovenian students did not conform to the normal dis-
tribution. Therefore, we used nonparametric tests below to measure the differ-
ences between the groups of students.
