spirometry manoeuvre to determine its acceptability.
If the patient performs an acceptable manoeuvre
‘Good blow’ is displayed at the top of the screen.
Automatically or manually the ‘best’ blows for the
report are selected (MicroLab Operating Manual,
2004).
The MicroLab Spirometer report includes (i)
respiratory performance and (ii) a graphic depiction
of the breathing loop and (iii) the contours of the
proper breathing loop based on the patient's height,
weight and age.
Following indicators were under consideration:
vital capacity (VC, l), forced vital capacity (FVC, l)
and forced expiratory volume in the first second
(FEV1) as well as the percentage of the predicted
values along with the Flow/Volume loop.
The testing procedures were explained to each
participant and informed consent was obtained in
accordance with the Declaration of Helsinki of the
World Medical Association.
2.3 Statistics
Statistical analysis was performed with the use of
statistic software package “SPSS Statistics 17.0”
(IBM). The descriptive analysis of the obtained data
was applied. Normality of distribution was assessed
by the Shapiro-Wilk test. Mean value (M) and
standard deviation (SD) of the measured parameters
were calculated. The level of significance was set at
P < 0.05.
2.4 Subjects
In October 2019 in the sport scientific laboratory of
the Ural Federal University stage control including
spirometry was carried out for the group of swimmers
(6 boys and 5 girls) 10-11 years old (height 148.9 ±
9.12 cm, weight 38.8 ± 7.87 kg). These athletes have
been engaged in sports swimming for at least 5 years
and had I youth and III sport category in swimming
In Russia there is a system of sport categories
according to competition results: to achieve I youth
category and III sport category in swimming one must
cover the distance of 200 m for boys 3:08.0 and 2:42.5
and for girls 3:29.0 and 2:58.0 in crawl swimming
respectively.
To reveal the level of respiratory system
development in other athletes spirometry tests were
carried out with a group of 12 young professional
hockey players of 9 years old (height 135.75 ± 4.69
cm, weight 34.3 ± 2.22 kg) and 10 amateur hockey
players 10–11 years old (height 143.33 ± 4.46 cm,
weight 35.7 ± 5.92kg), engaged in the outdoors
training all year round.
For comparison “young athletes vs a group of
classmates” 28 pupils of one form (18 boys and 10
girls) aged 9-10 years (height 138.9 ± 7cm, weight 32
± 6.32kg) were studied with spirometry (Zakharova,
2020).
3 RESULTS
Analysing the spirometry indicators of the respiratory
system in a group of swimmers aged 10-11 (Table 1),
we found that only 2 swimmers or 18% of the studied
subjects showed a normal VC with a proper
individual indicator above 100%, 2 swimmers (18%)
were within the norm of 95-100%, 27% (3 swimmers)
had the result below normal (80–95% of VC) and
36% or 4 swimmers had extremely low VC.
Table 1: Pulmonary system function indicators of
swimmers’ group 10-11 years old (М±m (min-max)).
Indicator
Vital
capacity
Forced
Vital
Capacity
FEV1
Absolute
measure, l
2.50±0.58
(1.51-2.9)
2.41±0.58
(1.37-3.3)
2.03±0.40
(1.36-2.7)
Percentage
of proper
value, %
86.2±15.3
(60-111)
85.2±16.7
(55-108)
85.6±12.9
(65-109)
One swimmer coped with the FVC test as he had
only excellent indicators (above 100%) of the FVC
test (VC, FVC and FEV1) and 27% (3 swimmers)
were within normal FVC.
7 swimmers showed an FVC indicator below
normal: 4 swimmers demonstrated 80-95% of
predicted FVC and 3 swimmers had poor FVC, that
is, below 80% of predicted FVC).
Taking into account that, first, predicted by
Spirometry PC Software values of respiratory system
intend for healthy children but not for athletes
specially and, second, larger lungs are necessary for
competitive swimming, we conclude that young
swimmers with more than 5 years of sport swimming
experience showed poor results in spirometry tests.
So we came to the idea to check the spirometry in
other young athletes and non-athletes of the same age.
Ice hockey players (n=12) training in modern
indoor ice palaces demonstrated satisfactory
spirometry data (table 2).