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Analysis of the Relationship between Obesity Factors and Health-Related Physical Fitness Factors among People with Intellectual Disabilities in South Korea

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Little is known about the relationship between health-related physical fitness factors and obesity-related factors in individuals with intellectual disabilities. We investigated the prevalence of obesity and the relationship between obesity-related factors and health-related physical fitness factors among people with intellectual disabilities in South Korea to identify the physical fitness factors that influence the degree of obesity. For obesity-related factors, we measured body composition (height, weight, body mass index—BMI, and body fat percentage) of 108 subjects with intellectual disabilities (mean ± standard deviation; age = 24.4 ± 8.45 years). For health-related physical fitness factors, we measured muscular strength, muscular endurance, and flexibility. There was a significant negative correlation between muscular endurance and obesity factors (BMI, r = −0.306, p < 0.01; body fat percentage, r = −0.402, p < 0.01). Further, the prevalence of obesity (34.3%) and being overweight (17.6%) among people with intellectual disabilities was high in South Korea. In addition, muscular endurance was found to have a significant effect on the obesity level (β = −0.239, p < 0.000). This suggests that a program that considers muscular endurance should be prioritized when implementing an exercise intervention strategy for the treatment of overweight and obesity among people with intellectual disabilities.
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International Journal of
Environmental Research
and Public Health
Article
Analysis of the Relationship between Obesity Factors and
Health-Related Physical Fitness Factors among People with
Intellectual Disabilities in South Korea
Guyeol Jeong 1and Buongo Chun 2, *


Citation: Jeong, G.; Chun, B.
Analysis of the Relationship between
Obesity Factors and Health-Related
Physical Fitness Factors among
People with Intellectual Disabilities in
South Korea. Int. J. Environ. Res.
Public Health 2021,18, 6533.
https://doi.org/10.3390/
ijerph18126533
Academic Editor: Sylvia Kirchengast
Received: 16 April 2021
Accepted: 14 June 2021
Published: 17 June 2021
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Attribution (CC BY) license (https://
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4.0/).
1Department of Social Physical Education, College of Humanities and Arts, Sunchon National University,
Sunchon 57922, Korea; zzzinsang@hanmail.net
2Graduate School of Physical Education, College of Arts and Physical Education, Myongji University,
Yongin 17058, Korea
*Correspondence: tianbingwu@mju.ac.kr; Tel.: +82-(31)-330-6302
Abstract:
Little is known about the relationship between health-related physical fitness factors and
obesity-related factors in individuals with intellectual disabilities. We investigated the prevalence of
obesity and the relationship between obesity-related factors and health-related physical fitness factors
among people with intellectual disabilities in South Korea to identify the physical fitness factors that
influence the degree of obesity. For obesity-related factors, we measured body composition (height,
weight, body mass index—BMI, and body fat percentage) of 108 subjects with intellectual disabilities
(mean
±
standard deviation; age = 24.4
±
8.45 years). For health-related physical fitness factors, we
measured muscular strength, muscular endurance, and flexibility. There was a significant negative
correlation between muscular endurance and obesity factors (BMI, r=
0.306, p< 0.01; body fat
percentage, r=
0.402, p<0.01). Further, the prevalence of obesity (34.3%) and being overweight
(17.6%) among people with intellectual disabilities was high in South Korea. In addition, muscular
endurance was found to have a significant effect on the obesity level (
β
=
0.239,
p< 0.000
). This
suggests that a program that considers muscular endurance should be prioritized when implementing
an exercise intervention strategy for the treatment of overweight and obesity among people with
intellectual disabilities.
Keywords:
people with intellectual disability; overweight; obesity; health-related physical fitness
factor; muscular endurance; relationship
1. Introduction
Obesity is a complex chronic disease characterized by excessive accumulation of body
fat. It has been declared a global pandemic by the World Health Organization (WHO) [
1
].
Its prevalence is high among children, adolescents, and adults in developed countries [
2
].
Obesity is considered a dangerous disease because it causes or worsens many health
problems independently or in connection with other diseases. The WHO defines obesity
as body mass index (weight—kg divided by the square of height—m
2
; body mass index—
BMI) of over 30 kg/m
2
[
3
,
4
]. Among Asians, obesity is defined as a BMI of
25 kg/m
2
[
5
].
BMI is a person’s weight in kilograms divided by the square of height in meters. BMI is
an inexpensive and easy screening method for weight categories, such as underweight,
healthy weight, overweight, and obesity. Obesity has negative effects on health, such as
type 2 diabetes, hypertension, cardiovascular disease, and premature death. It is also highly
related to social and psychological problems as well as a social and economic burden [
6
9
].
Since such obesity-related costs impose a large economic burden on society [
10
], rapid
intervention and treatment for obesity are required.
In particular, it has been reported that the prevalence of obesity is higher among
people with intellectual disabilities than among the general population [
11
13
]. According
Int. J. Environ. Res. Public Health 2021,18, 6533. https://doi.org/10.3390/ijerph18126533 https://www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2021,18, 6533 2 of 11
to a study on people with intellectual disabilities in Australia, the prevalence of obesity
(23.8%) and being overweight (22.5%) was higher in this population than that in the general
population [
12
]. In the UK, the prevalence of obesity and being overweight among adults
with intellectual disabilities is 20.7% and 28%, respectively [
11
]. This indicates that obesity
is a more serious problem among people with intellectual disabilities than among the
general population [14,15].
On the other hand, it has been reported that the number of people with intellectual
disabilities is the highest in low- and middle-income countries [
16
]. Currently, there
are
2.59 million
people with disabilities in South Korea, accounting for 5% of the total
population, of which 212,936 have intellectual disabilities. The proportion of people with
intellectual disabilities among the population with disabilities consistently increased from
6.9% in 2009 to 8.2% in 2015, to 9.0% in 2018 [
17
]. Although it may seem that the prevalence
of being overweight and obese among people with intellectual disabilities is higher in
South Korea than in Western countries due to social and environmental problems, studies
examining such prevalence are limited.
Obesity is caused by a variety of factors, including environmental and genetic fac-
tors [
18
]. In particular, it has been reported that decreased physical activity, decreased
physical fitness, inadequate nutritional intake, and a sedentary lifestyle are risk factors of
obesity [
19
]. In this regard, people with intellectual disabilities are limited in their physical
activities due to limitations in language development, cognitive function, and cognitive
impairment [
20
]. It has also been reported that many of them lead a sedentary lifestyle [
21
].
In addition, as they have a stronger desire for food intake than the general population, the
prevalence of obesity is also higher [
22
]. Their lack of physical activity leads to a decline in
their fitness level, which, in turn, causes various diseases such as obesity, hypertension,
type 2 diabetes, and cardiovascular disease, thereby decreasing the health of people with
intellectual disabilities [
23
]. Previous studies have shown that people with low fitness
levels have a higher risk of becoming overweight or obese than those with high fitness
levels [
24
,
25
]. Other studies have also shown that obese or overweight individuals have
lower physical fitness levels than do people with a normal weight [
26
], and that physical
fitness and body fat are negatively correlated [27].
It can be assumed that higher physical fitness levels among people with intellectual
disabilities are associated with better body composition. However, little is known about
the relationship between health-related physical fitness factors and obesity-related factors
in this population. In addition, while the prevalence of intellectual disabilities and obesity
is increasing in middle-income countries such as South Korea, no survey data have been
reported on the obesity rates of teenagers to adults in their 40 s or the relationship between
obesity and health-related physical fitness factors. Therefore, we aimed to investigate
the prevalence of obesity among people with intellectual disabilities in South Korea and
examine the relationship between health-related physical fitness and obesity-related fac-
tors. Elucidating the physical factors associated with obesity in people with intellectual
disabilities could lead to the development of new intervention programs to promote a
healthier lifestyle in this population. Our results can help researchers, clinical experts, and
trainers develop intervention strategies for the treatment of obesity and further motivate
policymakers and decision makers to prioritize the treatment of people with intellectual
disabilities.
2. Materials and Methods
2.1. Subjects
In total, 108 individuals with intellectual disabilities (75 men and 33 women) residing
in City G in South Korea were included in this study. They were selected from people with
intellectual disabilities who visited the Physical Fitness Certification Center for the Disabled
in City G (https://nfa.koreanpc.kr/front/centerpop/bs/boardList.do?center_cd=002&
board_seq=14&type=popup, accessed on 23 January 2019). The inclusion criteria for
subjects in this study are as follows: (1) participants, parents, and/or legal guardians have
Int. J. Environ. Res. Public Health 2021,18, 6533 3 of 11
signed prior consent before participation; (2) people who can walk without help;
(3) people
without motor impairment. The exclusion criteria for the subjects in this study are as
follows: (1) people who are prohibited from exercising; (2) persons with a physical disability
who are unable to perform physical activities. After we provided a thorough explanation of
the purpose of our study and the measurement method to the visitors and their guardians
in accordance with the Ethical Principles of the Declaration of Helsinki, we selected subjects
among those who gave consent. In addition, for the sake of consistency, measurement and
evaluation experts at the Physical Fitness Certification Center for the Disabled performed
the measurements. Table 1shows the general characteristics of the participants.
Table 1. Subject characteristics.
Variables Total (N= 108) Male (n= 75) Female (n= 33)
Age 24.40 ±8.45 24.99 ±7.92 23.06 ±9.56
Height (cm) 163.97 ±9.48 166.88 ±8.66 157.34 ±7.87
Weight (kg) 63.67 ±14.61 64.38 ±14.71 62.06 ±14.48
BMI (kg/m2)23.62 ±4.97 22.98 ±4.43 25.08 ±5.82
% Body fat (%) 27.94 ±10.46 24.24 ±8.41 36.62 ±9.71
Data are presented as the mean ±standard deviation. BMI, body mass index.
2.2. Measurement
The health-related physical fitness of people with intellectual disabilities who partici-
pated in this study was measured using measuring instruments available at the Physical
Fitness Certification Center for the Disabled in City G. As for the measurement criteria,
body composition (height, weight, BMI, and body fat percentage), muscular strength,
muscular endurance, and flexibility were measured.
Body Composition
The height (cm), weight (kg), BMI, and body fat percentage of subjects with intellectual
disabilities were measured using an automatic height–weight scale (BSM 330, Inbody, Seoul,
Republic of Korea) and bioelectric impedance analysis (InBody 770, InBody, Seoul, Republic
of Korea) [
28
]. BMI was calculated by dividing the weight in kilograms by the height in
meters. Participants were classified as normal weight (BMI < 23), overweight (
BMI 23
),
and obese (BMI
25) [
5
]. Obesity was defined as BMI
25 kg/m
2
according to the
Asia Pacific standards of the WHO guidelines [
5
]. The method of measuring the body
composition required the subjects to wear light clothing (exercise clothing) and to place the
soles of their bare feet evenly on the footing. Standing in an upright position facing the
front, holding the grip with both hands, and opening the gap between the armpits. When
the machine scans the body, it is measured while keeping the body immobile [
29
]. For
accurate measurements, we asked the subjects to change into clothing that was as simple
as possible, to remove any substances attached to the body, and to take measurements an
hour after emptying their bowels.
2.3. Health-Related Physical Fitness
Health-related physical fitness was measured using variables included in the physical
fitness criteria for people with intellectual disabilities at the Physical Fitness Certification
Center for the Disabled. Before measuring physical fitness, simple warm-up exercises and
stretching were performed for approximately five minutes with the help of measurement
and evaluation experts. The following sections describe the measurement methods for
each criterion.
2.3.1. Muscular Strength
Muscular strength was measured by using a grip strength dynamometer (BS-HG,
Inbody, Seoul, Korea) [
30
32
]. For the measurement method, the subject needed to stand
shoulder-width apart, and hold the grip while the body and arms are stretched out, about
Int. J. Environ. Res. Public Health 2021,18, 6533 4 of 11
15 degrees apart. The measurement was made with a maximum pull of over two to
three seconds from the start of the measurement. In cases where people with intellectual
disabilities could not hold the instrument firmly, assistants helped them to grip and exert
maximum force and maintain it for five seconds. Muscular strength was measured twice
and was recorded in units of 0.1 kg of the highest value.
2.3.2. Muscular Endurance
The sit-up test was used to measure muscular endurance (BS-SU, Inbody, Seoul,
Republic of Korea) [
33
,
34
]. Prior to the measurement of muscular endurance, we asked
subjects to do the following: (1) lie on their head and back, on the mattress; (2) place their
knees at a 45
angle and make a gap between them, such that it fits into a fist; (3) perform
sit-ups for a minute while clasping both hands behind their head. The two elbows were to
touch the knees and then return to their initial positions once. The unit of measurement for
muscular endurance was the number of repetitions per 30 s. In order to help people with
intellectual disabilities understand the procedure, we let them practice two to three times
with the help of assistants and we informed them of the number of repetitions during the
measurement.
2.3.3. Flexibility
Flexibility was measured using sit-and-reach exercises by a buckling flexion meter (BS-
FF, Inbody, Seoul, Korea) [
34
,
35
]. Subjects were asked to take their shoes off and straighten
their legs so that both heels were in close contact with the measurement instrument, then
overlap their hands, and extend their arms forward. The upper body was bent as far as
possible to push out the ruler. We took the measurement twice and selected the highest
value. If a subject could not stretch their knees because of having a low cognitive ability due
to an intellectual disability, an assistant pressed the knee of the subject to prevent it from
bending and provided a demonstration to prevent the pushing of the lateral flexometer
measurement plate due to recoil.
2.4. Data Analysis
We calculated the mean (M) and standard deviation (SD) for each criterion using
the Statistical Package for the Social Sciences version 22 (IBM Corp., Armonk, NY, USA).
A frequency
analysis was performed to explain the general characteristics of the subjects.
Further, a cross-analysis was conducted to examine the ratio of obesity and being over-
weight according to the sex and age group. Pearson’s correlation analysis was conducted
to examine the relationship between obesity-related factors (BMI, body fat percentage)
and health-related physical fitness factors (muscular strength, muscular endurance, and
flexibility). Multiple regression analysis was conducted to examine which variables affected
the degree of obesity. The statistical significance level was set at p< 0.05.
3. Results
3.1. Analysis of Obesity Severity According to the Sex of People with Intellectual Disabilities
The analysis of obesity severity according to sex among people with intellectual
disabilities is shown in Figure 1. The prevalence of obesity (according to BMI) among
people with intellectual disabilities was 34.3%. There was no significant difference between
men (34.7%) and women (33.3%). According to BMI, the ratio of being overweight among
people with intellectual disabilities was 17.6% (19 people). Although female subjects
(21.2%; 7 people) showed a higher ratio than male subjects (16.0%; 12 people), there was no
significant difference (x2= 0.0.437; p= 0.804). According to BMI, the proportion of people
with intellectual disabilities that belong to the normal weight range was 48.1% (52 people).
There was no significant difference between male (49.3%; 37 people) and female (45.5%;
15 people) subjects.
Int. J. Environ. Res. Public Health 2021,18, 6533 5 of 11
Figure 1.
Percentages of Koreans in this study with intellectual disabilities who have a normal weight, are overweight,
and obese: (
a
) percentage of overweight and obese (total subjects (N= 108)); (
b
) percentage of overweight and obese male
subjects (n= 75); (c) percentage of overweight and obese female subjects (n= 33).
3.2. Analysis of Obesity Severity According to Age among People with Intellectual Disabilities
The analysis of obesity severity according to the age group of people with intellectual
disabilities is summarized in Table 2. The prevalence of obesity tended to increase with
age: the prevalence was 19.4% in people aged 10–19 years old (6 people), 35.7% (20 people)
in subjects aged 20–29 years old, 38.5% (5 people) in subjects aged 30–39 years old, and 75%
(6 people) in subjects aged 40–49 years old. However, there was no significant difference
between age groups. The proportion of overweight subjects was 12.9% (4 people) in
the
10–19 age
group, 19.6% (11 people) in the 20–29 age group, 23.1% (3 people) in the
30–39 age
group, and 12.5% (1 person) in the 40–49 age group. The proportion of subjects
that belonged to the normal weight range was 67.7% (21 people) in the 10–19 age group,
44.6% (25 people) in the 20–29 age group, 38.5% (5 people) in the 30–39 age group, and
12.5% (1 person) in the 40–49 age group. There was no significant difference between
the age groups. In addition, the basic characteristics (age, height, and weight) of the
participants, obesity-related factors (BMI and % body fat), and health-related fitness factors
(sit-up, sit and reach, and grip strength) are shown in Table 3.
Table 2.
Frequency analysis of obesity level by age group in participants with intellectual disabilities.
Variables Age 10–19
(n= 31)
Age 20–29
(n= 56)
Age 30–39
(n= 13)
Age 40–49
(n= 8) x2
Normal 21 (67.7%) 25 (44.6%) 5 (38.5%) 1 (12.5%) 11.829
(p= 0.066)
Overweight 4 (12.9%) 11 (19.6%) 3 (23.1%) 1 (12.5%)
Obese 6 (19.4%) 20 (35.7%) 5 (38.5%) 6 (75.0%)
Data are presented as frequency (percentage); x2= Chi-square.
Table 3. Descriptive statistics for the whole study cohort (n= 108).
Variables nMean SD SE Min Max Range 95%CI
Age 108 24.38 8.49 0.82 12.00 46.00 34.00 (22.76; 26.01)
Height (cm) 108 164.13 9.36 0.91 135.50 187.20 51.70 (162.34; 165.93)
Weight (kg) 108 63.59 14.66 1.42 33.20 108.90 75.70 (60.78; 66.40)
BMI (kg/m2)108 23.53 4.89 0.47 15.22 39.33 24.11 (22.59; 24.46)
% Body fat (%) 108 27.94 4.89 1.01 7.60 58.30 50.70 (22.59; 24.46)
Sit-up 108 22.22 9.52 0.92 5.00 59.00 54.00 (20.40; 24.05)
Sit and reach 108 0.21 11.94 1.15 30.00 23.20 53.20 (2.08; 2.50)
Grip strength 108 20.66 8.73 0.84 6.40 43.30 36.90 (18.99; 22.33)
SD, standard deviation; SE, standard error; Min, minimum; Max, maximum; CI, confidence interval; BMI, body mass index.
Int. J. Environ. Res. Public Health 2021,18, 6533 6 of 11
3.3. Correlation between Factors among People with Intellectual Disabilities
Table 4shows the results of the correlation analysis between age, body composition,
and health-related physical fitness factors of people with intellectual disabilities. Weight
showed positive correlations with age (r = 0.309, p< 0.01) and height (r = 0.459, p< 0.01);
BMI showed positive correlations with age (r = 0.275, p< 0.01) and weight (r = 0.873,
p< 0.01).
Table 4.
Correlation analysis among age, body composition, and health-related physical fitness in people with
intellectual disabilities.
Variables Age Height Weight BMI Body Fat
Percentage Sit-Up Sit and Reach Grip
Strength
Age 1
Height 0.160 1
Weight 0.309 ** 0.459 ** 1
BMI 0.275 ** 0.021 0.873 ** 1
Body fat percentage
0.162 0.263 ** 0.560 ** 0.789 ** 1
Sit-up 0.282 ** 0.045 0.222 * 0.306 ** 0.402 ** 1
Sit and reach 0.014 0.132 0.162 0.110 0.120 0.285 ** 1
Grip strength 0.270 ** 0.386 ** 0.235 * 0.028 0.173 0.318 ** 0.312 ** 1
BMI, body mass index; *, p> 0.05; **, p> 0.01.
Body fat percentage was negatively correlated with height (r=
0.263, p< 0.01) and
positively correlated with weight (r= 0.560, p< 0.01) and BMI (r= 0.789, p< 0.01). Sit-ups
showed a negative correlation with age (r=
0.282, p< 0.01), weight (r=
0.222,
p< 0.05
),
BMI (r=
0.306, p< 0.01), and body fat percentage (r=
0.402, p< 0.01) (Figure 2). Sit
and reach was positively correlated with sit-ups (r= 0.285, p< 0.01). Grip strength was
positively correlated with age (r= 0.270, p< 0.01), height (r= 386, p< 0.01), weight (
r= 0.235
,
p< 0.05), sit-ups (r= 0.318, p< 0.01), and sit and reach (r= 0.312, p< 0.01).
Figure 2.
The relationship between body fat and muscular endurance (sit-ups) among Korean
participants with intellectual disability. Body fat percentage is negatively correlated with sit-ups
(r=0.402, p< 0.001).
3.4. Factors Affecting the Body Fat Percentage of People with Intellectual Disabilities
To examine the factors associated with body fat percentage, which had the highest
significant correlation with the obesity level of people with intellectual disabilities, we
Int. J. Environ. Res. Public Health 2021,18, 6533 7 of 11
performed multiple regression analysis (Table 5). When we analyzed the effects of height,
weight, and sit-up factors (which showed significant correlations with body fat percentage)
on body fat percentage, we found that their explanatory power (R2) was 72.5% and that
the results were statistically significant (F = 90.361, p<0.001). In addition, we tested
the significance of each factor and found that height (p< 0.001), weight (p< 0.001), and
sit-ups (p< 0.001) had significant effects on body fat percentage. In order to determine the
importance of the factors influencing body fat percentage, we compared the standardized
regression coefficients (
β
values) and found that height (
β
=
0.735), weight (
β
= 0.591),
and sit-ups (β=0.239) had an effect on body fat percentage in decreasing order.
Table 5. Factors affecting body fat percentage.
Variables Non-Standardized Coefficients Standardized Coefficients tpVIF
B SE β
Constant 116.28 9.833 11.825 0.000
Height 0.735 0.066 0.658 11.078 0.000 1.319
Weight 0.591 0.043 0.828 13.616 0.000 1.383
Sit-up 0.239 0.059 0.218 4.075 0.000 1.067
R = 0.851, R
2
= 0.725, F = 90.361, p= 0.000; B, unstandardized beta coefficient; SE, standard error;
β
, standarded beta coefficient; VIF, variance
inflation factor.
4. Discussion
Our study aimed to investigate the prevalence of obesity and physical fitness fac-
tors affecting obesity among people with intellectual disabilities in South Korea. Our
results show a high prevalence of overweight and obesity among people with intellectual
disabilities in South Korea. The prevalence of overweight and obesity among people
with intellectual disabilities was similar between male and female subjects. This shows
a tendency to increase with age. In addition, there was a significant correlation between
health-related physical fitness factors (muscular endurance) and obesity factors (BMI and
body fat percentage) among people with intellectual disabilities in South Korea. Moreover,
the muscular endurance factor had a significant effect on the body fat percentage (
Figure 2
).
Obesity is a negative body change that degrades the quality of human life, regardless of
the presence or absence of a disability, and requires continuousand systematic management.
As people with intellectual disabilities tend to have low levels of physical activity and
indulge in excessive nutritional intake, they are prone to having an unbalanced body, being
overweight, and having impaired body functions, which eventually leads to obesity [28].
The prevalence rates of overweight (17.6%) and obesity (34.3%) among people with
intellectual disabilities in this study were similar to those of other countries. For example,
in an Australian study of 206 subjects, approximately 22.5% of subjects were obese, and
23.8% were overweight [
12
]. A study in the UK also reported that the prevalence rates
of obesity and overweight were 20.7% and 28.0%, respectively, whereas subjects that fell
in the normal range of weight accounted for 32.7% [
11
]; a study by Hsieh et al. [
36
] on
people with intellectual disabilities in the United States reported prevalence rates of 28.9%
for overweight and 38.3% for obesity. The prevalence of overweight and obesity is higher
among people with intellectual disabilities than in the general population [
12
,
13
,
37
,
38
].
This may be because people with intellectual disabilities have decreased income levels in
an environment where they have difficulty engaging in economic activities, which leads to
a lack of opportunities to participate in physical activities and exercise programs [
20
,
39
].
At this rate, obesity among people with intellectual disabilities is expected to increase
more rapidly in the future, thereby increasing the morbidity rate as well. Therefore, it
is necessary to pay closer attention to obesity treatment interventions for people with
intellectual disabilities.
In our study, there was no significant difference between the ratio of being overweight
(male 16.0% vs. female 21.2%) and the prevalence of obesity (male 34.7% vs. female
33.3%) according to sex. This is supported by a meta-analysis on adults with intellectual
Int. J. Environ. Res. Public Health 2021,18, 6533 8 of 11
disabilities, which showed no difference in sedentary behavior between genders [
40
].
However, it is necessary to prioritize interventions for women with intellectual disabilities,
given that the following studies: the study in [
40
] showed a significantly lower physical
activity level in female, compared with male, subjects with intellectual disabilities, and
Hsieh et al. [
36
] suggested that women have a higher risk of becoming severely obese than
men with intellectual disabilities.
It has been reported that overweight and obese people have lower physical fitness
than those with normal weight. However, to the best of our knowledge, few studies have
analyzed the relationship between health-related physical fitness factors and obesity factors
among people with intellectual disabilities. Our results showed an inverse relationship
between muscular endurance and BMI as well as the body fat percentage of people with
intellectual disabilities (BMI, r=
0.306; body fat percentage, r=
0.402). In addition,
through multiple regression analysis, we found that muscular endurance had a significant
effect on body fat percentage among people with intellectual disabilities (
β
=
0.218,
p= 0.000).
Although it is difficult to make a direct comparison, several studies on people without
disabilities have shown a negative relationship between obesity factors and physical
fitness [
26
,
27
,
41
,
42
]. A previous study by Fogelholm et al. [
27
] in normal adolescents
showed a strong negative relationship between muscular endurance (sit-ups) and being
overweight. A similar result was found in a study by Lee and Oh [
43
], who examined
male Korean adolescent subjects without disabilities (n= 3047) and found that muscular
endurance is a significant factor affecting obesity. These results suggest that exercise
programs that improve muscular endurance should be considered during interventions for
people with intellectual disabilities who are overweight and obese.
Muscular endurance refers to the ability to use the muscles continuously for a certain
period of time [
44
] and can be improved by strength training. The exercise method that can
improve muscular endurance in a population with a low physical fitness level is as follows:
perform 10–15 repetitions of an exercise with an intensity of one repetition maximum
of 40–50% or less, one to two sets per muscle area, and with short breaks between each
set [
44
46
]. Although aerobic exercise for cardiorespiratory fitness may be important for
people with intellectual disabilities, it may be wise to focus instead on improving muscular
endurance, because low muscular endurance can limit aerobic exercise performance [47].
Meanwhile, muscular strength and flexibility were not shown to significantly af-
fect obesity-related factors in intellectually disabled people. These results are similar to
those of previous studies, which found a static correlation between weight and muscle
strength
[48,49]
. Muscular strength is defined as the ability of a muscle to exert maximum
contractile force at once, against resistance [
50
52
]. Muscular strength can be important
for everyday life, in intellectually disabled people [
53
,
54
]. However, our results suggest
that muscular strength is the next consideration in exercise programs to mediate obesity.
Regarding flexibility, many previous studies have reported no significant association with
obesity [
55
57
]. Although flexibility does not significantly affect obesity factors, it is be-
lieved that some participation in exercise could help in the daily lives of intellectually
disabled people. This is because lack of flexibility is associated with musculoskeletal
damage and back pain [55,58].
Given the small sample size of our study, it is difficult to generalize our results. Future
research should include a larger number of subjects and investigate the relationship and
determinants of various obesity-related physical fitness factors in order to promote health
among people with intellectual disabilities.
5. Conclusions
Our results show an inverse relationship between muscular endurance and obesity
factors among people with intellectual disabilities in South Korea. In addition, muscular
endurance factors were found to have a significant effect on the body fat percentage
in this population. This suggests that a program that takes muscular endurance into
Int. J. Environ. Res. Public Health 2021,18, 6533 9 of 11
account should be considered when implementing an exercise intervention strategy for
the treatment of overweight and obesity among people with intellectual disabilities. In
addition, we confirmed, though with a small sample size, that the prevalence of overweight
and obesity in Korean people with intellectual disability may be relatively high. It will
be necessary to determine the continued prevalence of obesity by adding the number of
cases in the future. Since an increase in the obesity rate leads to various diseases and is
an important factor that lowers the quality of life of people with disabilities, developing
an effective management method is needed. Our results can help researchers, clinical
experts, and trainers develop intervention strategies for the treatment of obesity and
further motivate policymakers and decision makers to prioritize the treatment of people
with intellectual disabilities.
Author Contributions:
Conceptualization, G.J. and B.C.; methodology, B.C.; software, B.C.;
validation
,
G.J.; formal analysis, B.C.; investigation, G.J.; resources, G.J.; data curation, G.J.; writing—original
draft preparation, G.J. and B.C. writing—review and editing, B.C.; visualization, G.J.; supervision,
B.C.; project administration, G.J. All authors have read and agreed to the published version of the
manuscript.
Funding: This research received no external funding.
Institutional Review Board Statement:
The study was conducted according to the guidelines of the
Declaration of Helsinki.
Informed Consent Statement:
Informed consent was obtained from all subjects involved in the
study.
Data Availability Statement:
The data that support the findings of this study are available from the
corresponding author, [B.C.], upon reasonable request.
Conflicts of Interest: The authors declare no conflict of interest.
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... WHO obeziteyi, vücut kitle indeksinin (ağırlık-kg bölü boy karesi-m2; vücut kitle indeksi-BMI) 30 kg/m 2 'nin üzerinde olması olarak tanımlamaktadır. Asyalılar arasında obezite, ≥25 kg/m 2 'lik bir BMI olarak tanımlanır (Jeong & Chun, 2021). Obezite tespitinde en uygun vücut kompozisyonu bileşeni/parametresi Vücut Kitle İndeksidir (VKİ) /Body Mass Index (BMI). ...
... Düşük fiziksel uygunluk düzeyine sahip bir popülasyonda kas dayanıklılığını artırabilen egzersiz yöntemi şu şekildedir: 1 tekrarda maksimum yoğunluğun % 40-50 si ile çalışmak veya daha az, kas başına 1-2 set olan bir egzersizin 10-15 tekrarının yapılması şeklindedir. Her bir set arasında kısa dinlenmeler verilmelidir (Jeong & Chun, 2021). Kardiyorespiratuar zindelik için aerobik egzersiz zihinsel engelli kişiler için önemli olsa da bunun yerine kas dayanıklılığını geliştirmeye odaklanmak akıllıca olabilir, çünkü düşük kas dayanıklılığı aerobik egzersiz performansını sınırlayabilir (Fernhall ve diğ., 2013). ...
Chapter
Full-text available
Physical fitness can be defined as the active performance of tasks expected from the individual during the day without feeling tired. Or, physical fitness in sports can be expressed as the complete suitability of both health-related and motor skill-related components/parameters for the sport branch in which the individual is engaged. In order to have a good level of physical fitness, it is essential for the individual to lead an active life. Individuals with special needs (ISN) live a more sedentary (not very active) life compared to individuals with typical development (Abdullah et al., 2016). This situation reduces the physical fitness levels of ISN. It is reported that ISN has lower cardiovascular endurance and muscular strength. In addition, it is emphasized that these individuals have decreased quality of life and excessive increases in their body mass index (Pitetti & Yarmer, 2002; Pitetti et al., 2001; Chanias et al., 1998). These situations can cause a series of health problems (obesity, hypertension, diabetes, coronary heart disease, osteoporosis/osteoporosis, premature death, etc.) (Rintala et al., 2016; Collins & Staples, 2017). In order to minimize these health problems, it is important for ISN to lead an active life and increase their physical fitness. At this point, physical activity, sports and training come into play. The World Health Organization reports that participation in moderate-intensity physical activities for at least 60 minutes per day will be beneficial for young people (WHO, 2010). It is emphasized that as a result of physical activities, cardiorespiratory and muscular fitness, bone health will improve, and depression and anxiety symptoms may decrease (Hinckson & Curtis, 2013). It is stated that physical activity also plays an important role in health and socialization for ISN (Tarantino et al., 2022). In line with their needs, ISN are offered suggestions such as “increase your physical fitness by doing physical activities and sports” to complement medical treatment. However, there are serious uncertainties regarding how exercise and training programs that improve physical fitness should be prepared and implemented specifically for PWDs, and what to consider during implementation. Physical fitness is of great importance in terms of protecting health, improving quality of life and contributing to athlete performance in individuals with special needs. Physical fitness components/parameters are divided into 2 in individuals with typical development. These are; health-related and motor skill-related physical fitness components/parameters. However, it is thought that these 2 components/parameters are not sufficient in ISN. Because sensory problems and communication problems seen in many disabled individuals can also negatively affect the health-related and motor skill-related components/parameters of these individuals, which are considered as physical fitness. For this reason, it would be more appropriate to collect physical fitness in ISN under the title of 4 components/parameters (health-related, motor skill-related, sensory and communication skill-related physical fitness). In this section, the definition of physical fitness in ISN, its components/parameters and general physical activity and training models aimed at developing these components/parameters will be briefly discussed.
... These results compare with those of the National Health and Nutrition Examination Survey data in South Korea (2021), which showed that the obesity rate (BMI < 25) of individuals aged 19 and above without disabilities is 37.1%, with men showing a higher obesity rate (46.3%) compared with women (26.9%). However, in a study by Graham and Reid [23] targeting adults (aged 34-57 years), women with intellectual disabilities had both higher BMI and body fat percentages compared to their male counterparts. This finding is consistent with those of previous studies [20,21,24]. ...
... In particular, the change was more prominent in men than in women. Previous studies also reported that the cardiovascular endurance of men with intellectual disabilities is higher than that of women [20,23]. Furthermore, the results of logistic regression analysis showed that the lower the PEI grade, the higher the risk of hypertension. ...
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Individuals with intellectual disabilities have a shorter lifespan and significantly higher prevalence of conditions such as hypertension and cardiovascular diseases than healthy individuals. Thus, assessing the elements that contribute to their physical fitness is crucial. This cross-sectional study examined the relationship between the blood pressure and physical fitness of people with intellectual disabilities in South Korea, considering differences across sexes, age groups, physical attributes, and disability levels. It used data from 8502 individuals with intellectual disabilities aged 20–59 years who participated in a survey of a National Fitness Standard Center (NFSC) between 2018 and 2021. A series of t-tests, one-way analysis of variance, logistic regression, and the four-quartile method were used for data analyses. The results showed differences in physical fitness levels between men and women considering all aspects except for BMI (Body Mass Index), with men showing higher blood pressure levels. Lower grip strength, lower PEI (physical efficiency index) scores, and higher BMI were associated with increased blood pressure. Additionally, individuals with higher levels of disability tended to have lower levels of physical fitness, while higher physical fitness levels were associated with lower blood pressure. Therefore, low fitness levels and hypertension risk may be important health indicators for people with intellectual disabilities.
... Previous studies have reported high prevalence of obesity and low fitness levels among people with disabilities [2,[5][6][7]. Although it can be assumed that people with severe disabilities would have lower fitness levels due to lack of independence and self-controllability leading to physical inactivity and nutritional imbalance, evidence to prove this is lacking. ...
... It was observed in 8.5% of people with Grade 1 disabilities, which was nearly twice the prevalence of 4.8% among the non-disabled population [26]. The close interrelationship between disability [6,24,27], malnutrition, and underweight status is another public health concern since long-term malnutrition is related to morbidity and mortality as well as associated issues relating to human rights [27,28]. ...
Article
PURPOSE: A low physical fitness level is one of the major health problems to be addressed among people with disabilities; this issue has not been spotlighted much in the public. This study was performed to determine the health-related physical fitness (HRPF) and blood pressure of people with intellectual disability (ID), visual impairment (VI), and hearing impairment (HI) and the differences in these parameters according to each type of disability and its severity.METHODS: Data of 11,802 participants with ID, VI, and HI who underwent standard physical fitness tests were analyzed. Differences in the proportion of participants with high blood pressure (HBP), body mass index (BMI) group, and HRPF parameters according to the severity of each type of disability were analyzed using the χ2 test or one-way analysis of variance. The odds ratio for HBP after adjustments for age, sex, severity of disability, and BMI group was also analyzed using multiple logistic regression analysis.RESULTS: There were significant differences in all HRPF parameters according to the disability type as well as the severity of disability in each group of individuals with ID, VI, and HI. Those with ID had the lowest values in the hand grip strength, sit-up, and sit-and-reach tests, and these values were significantly lower in the most severely disabled group for individuals with ID. The odds ratio for HBP was 1.211 (95% confidence interval: 1.069–1.371) for grade 1 ID.CONCLUSIONS: Participants with ID had generally lower HRPF parameter values than those of participants with VI and HI. In addition, significant differences in HRPF parameter values, the proportion of participants with HBP, and BMI were found among participants with disabilities according to the severity of their disability, indicating opportunities for improving the health in these groups.
... The best time from three trials was utilized for analysis (Andrašić et al., 2021 Finally, muscular endurance (ME) was tested with a situp test (Cho et al., 2024). Participants were told to lie supine with both hands folded behind their heads and legs at a 45-degree angle (Jeong & Chun, 2021). Each time the participants contacted their knee and returned to a supine posture, it was counted as one successful repetition (Zhang et al., 2021). ...
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This investigation aimed to shed light on the potential benefits these training methods can offer athletes attempting to improve their abilities in their game on the field. The CMT group, the FCT group, and the active control group (ACG) comprised 15 male field hockey players (Total 45 field hockey players) with an average age of 19.42±1.18 years. These players were randomly allocated to three equal groups. There were 36 training sessions in each training group over three months, with CMT and FCT training interventions being carried out thrice weekly. Participants in the ACG group went through their daily hockey practice regimen. In physical outcome measures, there were no significant differences in speed across groups (p=0.280), but significant variations were seen with time (p<0.01) and when groups and time were combined (p<0.01). Significant differences were seen for Change of direction (COD) and muscular endurance (ME) between groups (p<0.01) across time (p<0.01) and in the interaction between groups and time (p<0.01). In physiological outcome measures, anaerobic power (AP), vital capacity (VC), and VO2 max showed significant changes between groups (p<0.01) over time (p<0.01) and in the interaction between groups and time (p<0.01). In contrast, resting heart rate (RHR) showed no significant variations between groups (p=0.317), either across time (p=0.662) or in the interaction between groups and time (p=0.052). It concluded that CMT and FCT enhanced hockey players' COD, ME, AP, VC, and VO2 max. The FCT group outperformed the CMT group, proving its usefulness in improving athletic performance.
... Furthermore, studies emphasize the importance of developing muscle mass and upper body power to improve Para-athletes' swimming performance [14,15,17]. In addition, outside the competition realm, muscular strength not only enhances performance but also plays a vital role in the quality of life for individuals with disabilities [20]. ...
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This study aimed to identify the relationship between dryland tests and swimming performance in elite Paralympic swimmers. Fifteen competitive swimmers (age: 27.4 ± 5.4 years, height: 1.70 ± 6.8 m, body mass: 67.9 ± 9.2 kg; 9 males, 6 females) performed a lat pull-down and a bench press incremental load test to determine maximum power (Pmax), the strength corresponding to maximum power (F@Pmax), and the barbell velocity corresponding to maximum power (V@Pmax) from the force–velocity and power–velocity profiles. These outcomes were also normalized by the athlete’s body mass. Swimming performance was carried out from the best result in a 100 m freestyle race registered during an international competition. Lat pull-down F@Pmax was significantly associated with 100 m freestyle chronometric time (ρ = −0.56, p < 0.05), and lat pull-down V@Pmax presented a relationship with mean swimming velocity (ρ = 0.71, p < 0.01). Similarly, bench press F@Pmax and the normalized F@Pmax were significantly related to the mean swimming velocity (ρ = −0.51, ρ = −0.62, p < 0.05). Stepwise multiple regression showed that lat pull-down V@Pmax, bench press normF@Pmax, and V@Pmax accounted for 40.6%, 42.3%, and 65.8% (p < 0.05) of the mean swimming velocity variance. These preliminary results highlighted that simple dryland tests, although with a moderate relationship, are significantly associated with 100 m freestyle swimming performance in elite Paralympic swimmers.
... Possibly these changes in executive functioning directly influence the academic performance of obese children since the prevalence of obese individuals with learning difficulties is twice as high as in individuals without learning difficulties (Dick & Clough, 2019;Salaun & Berthouze-Aranda, 2012). Jeong and Chun (2021) analyzed that obese individuals have lower academic performance when compared to non-obese individuals; (Hayes, Eichen, Barch, & Wilfley, 2018;Ma & Luo, 2023;Patraca-Camacho et al., 2022). Based on what has been mentioned, this study aimed to compare the motor competence, executive functioning, and academic performance of students with adequate weight, overweight, and obesity. ...
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Purpose: This study aimed to compare the motor competence, executive functioning, and academic performance of students with adequate weight, overweight, and obesity. Design/Methodology/Approach: A total of 1631 children aged between 06 and 08 (±7.58) years old, of both genders (903 girls and 728 boys), students of the public school system in the state of Rio de Janeiro, participated in this study. To achieve the objective, participants were introduced to protocols that assessed body mass index, Motor Competence, Executive Functioning, Reading Comprehension, and Academic Performance. Findings: When analyzing the results of the protocols related to motor development, cognitive development, and academic performance, the results show a superiority of children with weights within the expected range in relation to obese children. Conclusion: The findings indicate a potential correlation between body mass index (BMI) and the proficiency of children in motor skills, executive functions, and academic performance. Specifically, the results demonstrate that children who are obese exhibit lower scores in all assessed variables compared to children with a BMI within the normal range. Research Limitations and Implications: This study did not assess the participants level of physical activity or their eating habits. Practical Implications: The research results contribute to the formulation of public policies on obesity as a public health problem, since its impacts go far beyond physical health problems. Contribution to the Literature: This research can add to the literature on the impacts of obesity on the cognitive and motor development of children, showing the importance of developing new studies with regard to prevention.
... Possibly these changes in executive functioning directly influence the academic performance of obese children since the prevalence of obese individuals with learning difficulties is twice as high as in individuals without learning difficulties (Dick & Clough, 2019;Salaun & Berthouze-Aranda, 2012). Jeong and Chun (2021) analyzed that obese individuals have lower academic performance when compared to non-obese individuals; (Hayes, Eichen, Barch, & Wilfley, 2018;Ma & Luo, 2023;Patraca-Camacho et al., 2022). Based on what has been mentioned, this study aimed to compare the motor competence, executive functioning, and academic performance of students with adequate weight, overweight, and obesity. ...
Article
Full-text available
Purpose: This study aimed to compare the motor competence, executive functioning, and academic performance of students with adequate weight, overweight, and obesity. Design/Methodology/Approach: A total of 1631 children aged between 06 and 08 (±7.58) years old, of both genders (903 girls and 728 boys), students of the public school system in the state of Rio de Janeiro, participated in this study. To achieve the objective, participants were introduced to protocols that assessed body mass index, Motor Competence, Executive Functioning, Reading Comprehension, and Academic Performance. Findings: When analyzing the results of the protocols related to motor development, cognitive development, and academic performance, the results show a superiority of children with weights within the expected range in relation to obese children. Conclusion: The findings indicate a potential correlation between body mass index (BMI) and the proficiency of children in motor skills, executive functions, and academic performance. Specifically, the results demonstrate that children who are obese exhibit lower scores in all assessed variables compared to children with a BMI within the normal range. Research Limitations and Implications: This study did not assess the participants level of physical activity or their eating habits. Practical Implications: The research results contribute to the formulation of public policies on obesity as a public health problem, since its impacts go far beyond physical health problems. Contribution to the Literature: This research can add to the literature on the impacts of obesity on the cognitive and motor development of children, showing the importance of developing new studies with regard to prevention.
... The extension of the number of subjects in the groups could be the subject of future research, and perhaps this will allow us to obtain normal distributions in the case of Body fat (kg) in group 1 and BMI, muscle mass%, and body fat Kg in group 3 (boys with moderate intellectual disability). However, recent international studies [22] confirm the overweight/obesity propensity of people with ID and without ID, regardless of the gender [23][24][25]. In another recent study that used the BIA technology and a Tanita device, just like us [26], the authors identified high values of the BMI, exceeding the values recommended by the WHO among people with intellectual disabilities. ...
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Background: Compared to the great volume of studies focusing on children and adolescents without intellectual disability, research regarding body mass index among young populations (13–17 years old) with intellectual disability is scarce, mostly when we refer to the comparisons between various degrees of intellectual disability and gender. Methods: The purpose of this study was to assess a series of morphofunctional parameters among children with and without intellectual disability to characterise the morphofunctional normality and its perturbations. Within the study, we included 101 subjects from several educational institutions, distributed on five groups, by their gender and degree of intellectual disability. Results: The average values of body mass index exceed the values recommended by the WHO among all the five groups (boys and girls with and without intellectual disabilities) prone to obesity. Upon analysing the values of BMI by gender and type of intellectual disability, we note that the prevalence of obesity among boys is 28.07% (BMI > 24), while 19.29% are overweight (BMI ranging between 21.5 and 24). Conclusions: The prevalence of excess weight and obesity among persons with intellectual disabilities was similar among the male and female subjects. It shows an increasing trend by age.
... Muscular endurance was measured using the sit-up and plank tests. Sit-ups were measured using a sit-up measuring instrument (BS-SU, Inbody, Seoul, Korea) [22,23]. The instrument automatically recorded repetitions when the head was recognized by the sensor attached to the instrument. ...
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Questions remain about whether resistance exercise has a positive effect on immune and inflammatory cells. The purpose of this study was to evaluate the effect of 12 weeks of high-intensity circuit resistance exercise (HCRE) on inflammation and immune cells, and physical fitness, of female breast cancer survivors (FBCSs). Thirty FBCSs were randomly assigned to the HCRE (n = 15) and control (n = 15) groups. HRCE was administered for 50 min a day, 2–3 times a week, for 12 weeks. The control group only performed activities of daily living during the study period. Baseline and post-intervention measures included body composition, muscular strength, muscular endurance, flexibility, reaction time, balance, inflammation, and immune cell measurements. The results showed that HCRE improved body mass index, body fat, muscle mass, grip strength, back muscle strength, sit-up, whole-body reaction, standing on one leg with eyes closed, Y-balance test, and NKCA in FBCSs. The improvement of physical strength and immune cells of FBCSs was achieved using the 12-week HRCE program. Future studies must analyze various exercise intensities and types, and should be conducted on other cancer survivors. In addition, strategies should be developed to allow FBCSs to participate in resistance training.
... The extension of the number of subjects in the groups could be the subject of future research, and perhaps this will allow us to obtain normal distributions in the case of Body fat (kg) in group 1 and BMI, muscle mass%, and body fat Kg in group 3 (boys with moderate intellectual disability). However, recent international studies [22] confirm the overweight/obesity propensity of people with ID and without ID, regardless of the gender [23][24][25]. In another recent study that used the BIA technology and a Tanita device, just like us [26], the authors identified high values of the BMI, exceeding the values recommended by the WHO among people with intellectual disabilities. ...
Article
Full-text available
Background: Compared to the great volume of studies focusing on children and adolescents without intellectual disability, research regarding body mass index among young populations (13–17 years old) with intellectual disability is scarce, mostly when we refer to the comparisons between various degrees of intellectual disability and gender. Methods: The purpose of this study was to assess a series of morphofunctional parameters among children with and without intellectual disability to characterise the morphofunctional normality and its perturbations. Within the study, we included 101 subjects from several educational institutions, distributed on five groups, by their gender and degree of intellectual disability. Results: The average values of body mass index exceed the values recommended by the WHO among all the five groups (boys and girls with and without intellectual disabilities) prone to obesity. Upon analysing the values of BMI by gender and type of intellectual disability, we note that the prevalence of obesity among boys is 28.07% (BMI > 24), while 19.29% are overweight (BMI ranging between 21.5 and 24). Conclusions: The prevalence of excess weight and obesity among persons with intellectual disabilities was similar among the male and female subjects. It shows an increasing trend by age.
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Background: Health-related physical fitness is vital for children with intellectual and developmental disabilities (IDD) to gain healthier lives. The adapted rhythmic gymnastics (ARG) program was designed for children with IDD and is aimed at testing the effects of the exercise program on children's physical fitness. Methods: Participants were recruited from two special needs schools in Beijing of China. Twenty-two children with IDD were assigned to an ARG experimental group or a traditional control group. The experimental group took part in a 16-week ARG program consisting of three 50 min sessions each week. And children's body composition, aerobic capacity, and musculoskeletal functioning were measured by the Brockport Physical Fitness Test (BPFT) before and after the program. Results: The between-group analysis revealed great improvements for the experimental group in abdominal strength (curl-up test: p = 0.025 < 0.05) and upper limb strength (dumbbell press test: p = 0.038 < 0.05). Compared to the pretest, most of the physical fitness parameters improved significantly in the experimental group except BMI, and flexibility of the experimental group children showed a substantial increase. Conclusions: Most of the physical fitness parameters of children with IDD in the experimental group improved significantly, especially on abdominal strength and upper limb muscle strength when comparing to the control group.
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Purpose: The aim of this research was to describe, examine, and compare the level of physical fitness, physical activity, and sedentary behaviour in pupils aged 6–13 in the Region of Murcia, Spain, in accordance with weight status. Methods: A total of 370 children (166 girls and 204 boys) aged 6–13 (M = 8.7; DT = 1.8) from the Region of Murcia participated in this descriptive and cross-sectional study. Some anthropometric parameters such as body mass index, waist circumference, as well as skinfold measurements were determined. ALPHA-FIT Test Battery was used to evaluate physical fitness. Krece Plus Short Test was used to measure physical activity level and sedentary behaviour. Results: 52.4% of the children presented excess weight (according to the World Health Organization growth references). Regarding boys, statistically significant differences were found for cardiorespiratory fitness (p < 0.001), relative handgrip strength (p < 0.001), lower muscular strength (p < 0.001), speed-agility (p < 0.001), as well as sport activities hours (p = 0.001) among the three weight status groups (normal weight, overweight, and obesity). As for girls, statistically significant differences were found for cardiorespiratory fitness (p = 0.004), relative handgrip strength (p < 0.001), lower muscular strength (p < 0.001), sport activities hours (p = 0.005), as well as physical activity level (assessed by Krece Plus Test) (p = 0.017). A negative statistically significant correlation was found between body mass index and cardiorespiratory fitness (rho = −0.389), lower muscular strength, (rho = −0.340), and relative handgrip strength (rho = −0.547). At the same time, a positive statistically significant relationship between body mass index and the time spent in speed-agility (rho = 0.263) was shown. Regarding waist circumference and body fat percentage, similar relationships were identified. Moreover, a greater probability of having higher cardiorespiratory fitness (OR = 1.58; CI95% = 1.38–1.82), relative handgrip strength (OR = 1.25; CI95% = 1.19–1.31), more hours of sport activities (OR = 1.40; CI95% = 1.19–1.66), and physical activity level (assessed by Krece Plus Test) (OR = 1.23; CI95% = 1.07–1.42) was noted in the normal weight group. Conclusions: Children that presented normal weight achieved higher results for health-related physical fitness and physical activity than those with excess weight; this was, however, not found to be the case for sedentary behaviour. The authors emphasise the need for changes in public policies and school-based intervention programmes to develop higher levels of both PF and PA in overweight and obese children.
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The objective of this study was to investigate the association between physical fitness and body mass index categories (obesity, OB; overweight, OW; normal-weight, NW; and underweight, UW) in prepubertal children. Anthropometric and physical fitness characteristics were collected from a convenience sample of 30472 Italian schoolchildren (6–11 years old). Six field-based tests were used: Léger, agility shuttle, long jump, frontal throw of the basketball, Sit & Reach and standing balance. Significant differences were found in the anthropometric characteristics, physical fitness and weight status prevalence between girls and boys (p<0.05) and, except for flexibility, by age class (p<0.05). Obese children performed worse than their NW counterparts in aerobic capacity (p<0.001), agility (p<0.001), muscular power of the lower limb (p<0.001) and balance (p<0.001). Conversely, children with obesity showed greater upper limb power than NW children (p<0.001). The discrepancy in physical fitness between OB and NW children increased in older girls (flexibility, p = 0.002; muscular power of the lower and upper limb, p = 0.002 and p = 0.005) and boys (aerobic capacity, p = 0.009; agility, p = 0.006; standing balance, p = 0.019; muscular power of the lower and upper limb, p<0.001 and p = 0.011) compared to their younger counterparts. On the other hand, UW children performed worse than NW children mainly in terms of muscular power of the arms (p<0.001). Additionally, there was an increasing disparity in the frontal throw test scores of UW and NW girls (p = 0.003) and boys (p = 0.011) in older children compared to younger children. In conclusion, the effect of body mass index on children’s physical fitness intensifies with age. OB and OW negatively affect aerobic capacity, agility, lower limb power and balance but positively affect upper limb power. UW negatively affects upper limb power. This study underscores the importance of preventing childhood OW, OB, and UW in early life to promote children’s health and proper fitness development.
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Obesity increases the risks of diabetes, hypertension, and cardiovascular diseases, ultimately contributing to mortality. Korean Society for the Study of Obesity (KSSO) was established to improve the management of obesity through research and education; to that end, the Committee of Clinical Practice Guidelines of KSSO reviews systemic evidence using expert panels to develop clinical guidelines. The clinical practice guidelines for obesity were revised in 2018 using National Health Insurance Service Health checkup data from 2006 to 2015. Following these guidelines, we added a category, class III obesity, which includes individuals with body mass index (BMI) ≥35 kg/m². Agreeing with the International Federation for the Surgery of Obesity and Metabolic Disorders, Asian Pacific Chapter consensus, we determined that bariatric surgery is indicated for Korean patients with BMI ≥35 kg/m² and for Korean patients with BMI ≥30 kg/m² who have comorbidities. The new guidelines focus on guiding clinicians and patients to manage obesity more effectively. Our recommendations and treatment algorithms can serve as a guide for the evaluation, prevention, and management of overweight and obesity.
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Objective: The purpose of this study was to investigate the effects of Tai Chi (TC) on anthropometric parameters and physical fitness among children and adolescents with intellectual disabilities (ID). Methods: Sixty-six Chinese individuals engaged in sport-related extracurricular activities (TC and aerobic exercise (AE)) as exercise interventions or arts/crafts activities as a control condition (CON). The experimental protocol consisted of a baseline assessment, a 12-week intervention period, and a post-intervention assessment. Results: Significant interaction effect was only observed in the performance of a 6-min walk test. After 12 weeks of intervention, the AE group had significant changes in body mass index (p = 0.006, d = 0.11), sit-ups (p = 0.030 and d = 0.57), and 6-min walk test (p = 0.005, d = 0.89). Significant increases in vertical jump (p = 0.048, d = 0.41), lower-limb coordination (p = 0.008, d = 0.53), and upper-limb coordination (p = 0.048, d = 0.36) were observed in the TC group. Furthermore, the TC group demonstrated significantly greater improvements on balance compared to the control group (p = 0.011). Conclusions: TC may improve leg power and coordination of both lower and upper limbs, while AE may be beneficial for body mass index, sit-ups and cardiorespiratory fitness.
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Objectives: the aims of the study were to provide gender-and age-specific physical fitness levels among Serbian schoolchildren and to identify prevalence of overweight and obesity. Methods: a sample of 6,188 boys and 6,023 girls aged nine to 14 years were assessed using the physical fitness battery established through the National Fitness Project of Serbia. Physical fitness levels were determined for body height, body weight and body mass index and for six physical fitness tests (sit and reach, 4 x 10 m shuttle run, standing long jump, 30 sec sit-ups, bent arm hang, 20-m shuttle run). Centile smoothed curves for the 5 rd , 25 th , 50 th , 75 th and 95 th percentiles were calculated using Cole's LMS method. Prevalence of overweight and obesity was identified applying cutoff points for children (International Obesity Task Force). Results: the results revealed that anthropometric measures were higher in boys than in girls. In addition, boys had better physical fitness levels for all tests except for the sit and reach test, where girls performed slightly better. The overall prevalence of overweight and obesity amounts to 24.8% (19.8% overweight and 5% obese). With respect to gender, the prevalence of overweight and obesity was higher in boys (27%) compared to girls (22.4%). Conclusion: the presented data are the most up-to-date gender-and age-specific physical fitness levels for Serbian schoolchildren aged 9-14 years. The findings regarding prevalence in overweight and obesity indicated an alarming trend when compared to similar data from other similar studies (in European countries).
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Objectives: the aims of the study were to provide gender- and age-specific physical fitness levels among Serbian schoolchildren and to identify prevalence of overweight and obesity. Methods: a sample of 6,188 boys and 6,023 girls aged nine to 14 years were assessed using the physical fitness battery established through the National Fitness Project of Serbia. Physical fitness levels were determined for body height, body weight and body mass index and for six physical fitness tests (sit and reach, 4 x 10 m shuttle run, standing long jump, 30 sec sit-ups, bent arm hang, 20-m shuttle run). Centile smoothed curves for the 5rd, 25th, 50th, 75th and 95th percentiles were calculated using Cole's LMS method. Prevalence of overweight and obesity was identified applying cut-off points for children (International Obesity Task Force). Results: the results revealed that anthropometric measures were higher in boys than in girls. In addition, boys had better physical fitness levels for all tests except for the sit and reach test, where girls performed slightly better. The overall prevalence of overweight and obesity amounts to 24.8% (19.8% overweight and 5% obese). With respect to gender, the prevalence of overweight and obesity was higher in boys (27%) compared to girls (22.4%). Conclusion: the presented data are the most up-to-date gender- and age-specific physical fitness levels for Serbian schoolchildren aged 9-14 years. The findings regarding prevalence in overweight and obesity indicated an alarming trend when compared to similar data from other similar studies (in European countries).
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Background: Adults with intellectual disabilities are reported to be highly inactive, with research required to understand contributory factors. This systematic review aimed to investigate gender differences in physical activity (PA) and sedentary behaviour (SB) in adults with intellectual disabilities. Methods: This systematic review was reported in accordance with PRISMA guidelines. Seven databases were searched up to, and including, January 2018. Screening identified papers that assessed gender-specific PA and/or SB outcomes in adults with intellectual disabilities. Data were synthesized using a narrative synthesis and random effects model meta-analyses. Results: Twenty-six papers were included; 25 measured PA, and eight assessed SB. Women with intellectual disabilities were least active with a significant overall effect of gender identified. For SB, no consistent gender differences were found. Conclusions: Reflecting the general population, men with intellectual disabilities were most active. Intellectual disability research should consider the role of gender to inform future interventions targeting inactivity.