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The role of fatness on physical fitness in adolescents with and without Down syndrome: The UP&DOWN study

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Adolescents with Down syndrome (DS) exhibit higher levels of fatness and low levels of physical fitness compared with those without DS. In adolescents without DS, fatness is tightly associated with physical fitness, but this association is unclear in adolescents with DS. The aim of this study was to examine the association between several markers of fatness and physical fitness in a relative large sample of adolescents with and without DS. For this study, a total of 111 adolescents with DS (41 females) aged 11 to 20 years old participated in this cross-sectional study. We also included a sex-matched control group (ratio 1:2) of 222 adolescents without DS aged 12 to 18 years old, participating in the UP&DOWN Study. The ALPHA health-related fitness test battery for adolescents was used to assess fatness and physical fitness. Our results show that fatness is not associated with low levels of physical fitness in adolescents with DS (i.e. 3 of the 16 analyses identified differences in physical fitness variables by groups of fatness). In contrast, fatness, as expected, is associated with levels of physical fitness in adolescents without DS (i.e. 13 of the 16 analyses identified differences in physical fitness variables by groups of fatness). The present finding contributes to new knowledge by suggesting that the role of fatness on physical fitness is different in adolescents with and without DS, and consequently, the poor levels of physical fitness in adolescents with DS may be due to its syndrome rather than the high prevalence of obesity from this population.International Journal of Obesity accepted article preview online, 21 August 2015. doi:10.1038/ijo.2015.164.
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ORIGINAL ARTICLE
The role of fatness on physical tness in adolescents with and
without Down syndrome: The UP&DOWN study
R Izquierdo-Gomez
1
, D Martínez-Gómez
1
, B Fernhall
2
, A Sanz
1
and ÓL Veiga
1
on behalf of the UP&DOWN study group
3
BACKGROUND/OBJECTIVES: Adolescents with Down syndrome (DS) exhibit higher levels of fatness and low levels of physical
tness compared with those without DS. In adolescents without DS, fatness is tightly associated with physical tness, but this
association is unclear in adolescents with DS. The aim of this study was to examine the association between several markers of
fatness and physical tness in a relative large sample of adolescents with and without DS.
SUBJECTS/METHODS: A total of 111 adolescents with DS (41 females) aged 1120 years participated in this cross-sectional study.
We also included a sex-matched control group (ratio 1:2) of 222 adolescents without DS aged 1218 years, participating in the
UP&DOWN Study. The Assessing Level of Physical Activity (ALPHA) health-related tness test battery for adolescents was used to
assess fatness and physical tness.
RESULTS: Our results show that fatness is not associated with low levels of physical tness in adolescents with DS (that is, 3 of the
16 analyses identied differences in physical tness variables by groups of fatness). In contrast, fatness, as expected, is associated
with levels of physical tness in adolescents without DS (that is, 13 of the 16 analyses identied differences in physical tness
variables by groups of fatness).
CONCLUSIONS: The present nding contributes to new knowledge by suggesting that the role of fatness on physical tness is
different in adolescents with and without DS, and consequently, the poor levels of physical tness in adolescents with DS may be
due to the syndrome rather than the high prevalence of obesity from this population.
International Journal of Obesity advance online publication, 15 September 2015; doi:10.1038/ijo.2015.164
INTRODUCTION
Pediatric obesity is a major health problem worldwide,
1
but it
is even more common in individuals with intellectual disabilities
than in the general population, especially in those with
Down syndrome (DS).
2
Adolescents with DS exhibit higher levels
of fatness caused by several factors that involves genetic
and exogenous factors such as the decrease in resting metabolic
rate, hypothyroidism, small stature and so on.
3
Although it is less
well-known, adolescents with DS also exhibits exceptionally
poor levels of physical tness compared with individuals with
and without intellectual disabilities.
4,5
Because in the general
population, fatness is tightly related to low physical tness
68
at these ages, it could explain this feature in population with
DS. However, it is unclear whether the role of fatness on
physical tness levels is similar in adolescents with and
without DS.
Only one previous study examined the association between
fatness and physical tness in adolescents with DS,
9
but limited to
single markers of fatness (that is, body mass index) and tness
(that is, VO
2peak
). Importantly, more markers of fatness and other
components of physical tness such as muscular and motor
tness could provide additional health-related information.
1013
Therefore, the aim of this study was to examine the association
between markers of overall and abdominal fatness (that is, body
mass index, skinfolds, waist circumference and waist-to-height
ratio) and some components of physical tness (that is,
cardiorespiratory, muscular and motor tness) in a relative large
sample of adolescents with and without DS.
MATERIALS AND METHODS
Study design and participants
This study was part of the UP&DOWN study (Follow UP school
children AND adolescents with DS: psycho-environmental and
genetic determinants of physical activity and its impact on physical
tness, cardiovascular diseases, inammatory biomarkers and
mental health). Details about design have been presented elsewhere.
14
A total of 111 adolescents with DS (41 females) aged 1120 years
participated in this cross-sectional study. We also included a sex-matched
control group (ratio 1:2) of 222 adolescents without DS aged from 12
to 18 years. The control group was randomly selected from 673
adolescents belonging to the same study with information on
cardiorespiratory tness scored in laps.
14
The group with DS was recruited
from special education schools, associations and foundations for
people with intellectual disabilities from the regions of Madrid and Toledo
(Spain). The sex-matched adolescents without DS were recruited
from schools in Madrid (Spain). All participants with DS met two
specic inclusion criteria: having an intelligence quotient over 35 and
not having any physical disabilities impacting physical activity.
Data collection took place between October 2011 to December 2012.
Parents, adolescents and institution supervisors were informed
about the study characteristics. Written informed consent was obtained
from all participants and their parents or guardians before the
data collection in adolescents with and without DS. The study protocols
were approved by the Ethics Committee of the Hospital Puerta de
1
Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Madrid, Spain and
2
Department of Kinesiology and Nutrition, University of
Illinois, Chicago, IL, USA. Correspondence: Dr ÓL Veiga, Departamento de Educación Física, Deporte y Motricidad Humana, Universidad Autónoma de Madrid, Ctra. de Colmenar
Km. 15, Madrid 28049, Spain.
E-mail: oscar.veiga@uam.es
3
See Appendix.
Received 1 May 2015; revised 7 July 2015; accepted 3 August 2015; accepted article preview online 21 August 2015
International Journal of Obesity (2015), 16
© 2015 Macmillan Publishers Limited All rights reserved 0307-0565/15
www.nature.com/ijo
Hierro (Madrid, Spain) and the Bioethics Committee of the
National Research Council (Madrid, Spain).
Markers of fatness
Fatness was assessed following standardized procedures using anthropo-
metric techniques.
15
All fatness measures were performed twice and the
averages were recorded.
16
Weight and height were measured with participants having bare feet
and wearing light clothing. Weight was recorded to the nearest 0.1 kg
using an electronic scale (model SECA 701, Hamburg, Germany) and height
was measured to the nearest 1 mm using a telescopic height-measuring
instrument (model SECA 220). Body mass index was calculated by weight
divided by squared height (kg m
2
). The gender- and age-specic cutoffs
according to the International Obesity Task Force
17,18
were used to
classied adolescents into normal-weightor overweight-obesitycate-
gories. Skinfold thickness was measured on the non-dominant side of the
body to the nearest 0.1 mm with a Holtain caliper at the triceps and
subscapular sites. Body fat percentage was calculated from triceps and
subscapular skinfold thicknesses using the Slaughter equations.
19
These
equations accurately predict body fat by theses skinfolds in both
populations.
20,21
Adolescents with normal-fat and over-fat were classied
according to the age- and sex-specic cutoffs proposed by FITNESGRAM.
22
Waist circumference was measured over unclothed abdomen at the
narrowest point between the costal margin and iliac crest with a non-
elastic tape (SECA 200; SECA) to the nearest 0.1 cm. Waist-to-height ratio
was calculated dividing the waist circumference by the participants
height. Values of waist circumference 75th percentile by sex and age,
and waist-to-height ratio 0.50 indicated adolescents at riskfor higher
obesity-related cardiovascular diseases.
23,24
Components of physical tness
Physical tness was measured following the ALPHA and health-related
tness test battery for youth.
15,25
The ALPHA health-related tness test
showed a good reliability in adolescents with DS using some non-
signicant adaptations (for example, adolescents were guided and helped
by instructors when necessary).
16
All tness tests showed an intra-class
correlation value from 0.64 to 0.92.
16
In addition, all assessment were
explained and performed with the instructor and adolescents together for
an easy understanding of all the tests before the nal testing.
Muscular tness was assessed using the handgrip strength and the
standing long jump tests. A hand dynamometer with an adjustable grip
(TKK 5101 Grip D, Takey, Tokyo Japan) was used to assess handgrip
strength. The grip-span of the dynamometer was adjusted according to
the hand size of the youth.
26
The adolescents squeezed the dynamometer
gradually for at least 2 s alternatively with both hands and the elbow in full
extension. Adolescents with DS performed the test in sitting position and
adolescents without disabilities in standing position.
16
The test was
performed twice and the highest score in kilograms for each hand was
recorded, and the average score of the left and right hand was calculated.
Standing long jump test was performed from starting position behind a
line standing with feet approximately shoulders width apart. Adolescents
had to jump as far as possible, landing with feet together. The test was
completed twice and the longer distance was recorded in centimeters.
27
Motor tness was assessed using the 4 × 10m shuttle-run test of speed-
of-movement, agility and coordination. The adolescents were required to
run back and forth between two parallel lines 10-m apart. They were asked
to run as fast as possible from the starting line to the other line and they
should pick up (the rst time) or exchange (second and third time) a
sponge that has earlier been placed behind the lines. The test was
performed twice and the fastest time was recorded in seconds.
27
Because
lower the score, the better the performance, it was multiplied by 1 and a
higher score indicates better motor tness.
Cardiorespiratory tness was assessed by the 20-m shuttle-run test. The
adolescents were required to run between two lines 20-m apart, while
keeping pace with a pre-recorded audio CD. The initial speed was
8.5 km h
1
, which was increased by 0.5 km h
1
each minute (1 min = one
stage). The adolescents were instructed to run in a straight line, to pivot on
completing a shuttle (20-m), and to pace themselves in accordance with
the audio signals. The test was nished when the adolescent failed to
reach the end lines concurrent with the audio signals on two consecutive
occasions.
27
The nal score was the number of laps completed in both
adolescents with and without DS owing to the low aerobic capacity of
adolescents with DS.
28
Statistical analysis
Descriptive characteristics are presented as means (s.d.). We initially
analyzed differences between groups (adolescents with DS vs adolescents
without DS) unadjusted by one-way analysis of variance, and then, we
performed one-way analysis of covariance controlling for age. Pearson
correlations were used to examine the relationships between markers of
fatness and components of physical tness within each group
of adolescents with and without DS, controlling for sex and age. Analysis
of covariance was also used to examine differences in levels of physical
tness by fatness categories in each population group, controlling for sex
and age. Data were analyzed using SPSS statistical software (version 20.0,
Chicago, IL, USA) for Macintosh. The level of signicance was set at 0.05 for
all analyses.
RESULTS
Table 1 shows the descriptive characteristics of the study samples.
Overall, adolescents with DS were older and smaller than
Table 1. Descriptive characteristics of study sample
Down syndrome Non-Down syndrome P
1
P
2
nn
Age (years) 111 15.77 ±2.45 222 14.07 ±1.60 o0.001 o0.001
Weight (kg) 111 52.20 ±11.92 222 55.76 ±12.50 0.016 o0.001
Height (cm) 111 147.66 ±9.43 222 161.96 ±9.41 o0.001 o0.001
Fatness
Body mass index (kg m
2
) 111 23.76 ±4.11 222 21.08 ±3.48 o0.001 o0.001
Waist circumference (cm) 111 73.42 ±9.37 222 68.88 ±7.56 o0.001 0.047
Waist-to-height ratio 111 0.50±0.06 222 0.43 ±0.41 o0.001 o0.001
Triceps skinfold (mm) 107 23.61 ±8.93 222 13.79 ±6.48 o0.001 o0.001
Subscapular skinfold (mm) 107 20.58 ±9.81 222 11.74 ±6.19 o0.001 o0.001
Body fat (%) 106 34.20 ±12.79 222 20.95 ±9.49 o0.001 o0.001
Fitness
Handgrip strength (kg) 109 15.87 ±6.58 222 26.99 ±7.63 o0.001 o0.001
Standing long jump (cm) 109 73.06 ±37.79 222 163.09 ±31.62 o0.001 o0.001
Motor tness (sec × 1) 109 19.48 ±4.71 222 11.97 ±1.05 o0.001 o0.001
Cardiorespiratory tness (laps) 109 8.00 ±5.83 222 49.83 ±23.92 o0.001 o0.001
Data are mean ±s.d. P
1
=unadjusted. P
2
=age-adjusted. Statistically signicant values are shown in bold (Po0.05).
Fatness and physical tness in Down syndrome
R Izquierdo-Gomez et al
2
International Journal of Obesity (2015) 1 6 © 2015 Macmillan Publishers Limited
adolescents without DS (all Po0.001). Also, adolescents with DS
had higher levels of fatness and poorer scores in physical tness
tests than adolescents without DS (all Po0.001).
Table 2 shows correlations between fatness and physical tness
variables in adolescents with and without DS. In adolescents with
DS, values above the diagonal showed that waist circumference,
subscapular skinfold and body fat % variables were inversely
correlated with standing long jump test (r=0.214, 0.247 and
0.217, all Po0.05, respectively). In adolescents without DS,
values below the diagonal showed that body mass index and
waist circumference were correlated with all physical tness
variables (ranging r=0.189 to 0.339, all Po0.05). Waist-to-height
ratio, skinfold thickness and body fat were correlated with
standing long jump, motor tness and cardiorespiratory tness
variables (ranging r= 0.352 to 0.528, all Po0.05).
Table 3 shows differences in physical tness according to
overall fatness categories in adolescents with and without DS.
There were only signicant differences in motor tness by body
fat categories in adolescents with DS, after adjusting for sex and
age (P= 0.048). In adolescents without DS, differences in standing
long jump, motor tness and cardiorespiratory tness were
signicant by groups of both body mass index and body fat
categories (all Po0.001).
Table 4 shows differences in physical tness according to
abdominal body fat categories in adolescents with and without
DS. In adolescents with DS, there were only signicant differences
in standing long jump and motor tness tests (P= 0.002 and 0.026,
respectively) by waist-to-height ratio categories. In contrast, there
were signicant differences in all physical tness variables by
groups of both waist circumference and waist-to-height circum-
ference in adolescents without DS (Po0.001), with the exception
of handgrip strength by groups of waist-to-height ratio (P= 0.865).
DISCUSSION
This study examined the association between several markers of
fatness and components of physical tness in a relatively large
sample of adolescents with and without DS. The main ndings of
this study show that fatness is not associated with low levels of
physical tness in adolescents with DS (that is, 3 of the 16 analyses
identied differences in physical tness variables by groups of
fatness). In contrast, fatness as expected is associated with levels
of physical tness in adolescents without DS (that is, 13 of the 16
analyses identied differences in physical tness variables by
groups of fatness). The present nding contributes to new
knowledge by suggesting that the role of fatness on physical
tness is different in adolescents with and without DS, and
consequently, the poor levels of physical tness in adolescents
with DS may be due to the syndrome rather than the high
prevalence of obesity from this population.
This study used several markers of fatness in adolescents with
and without DS to examine the role of fatness on physical tness
levels. Thus, body mass index and skinfolds-derived body fat were
used as marker of overall fatness, and waist circumference and
waist-to-height ratio as marker of abdominal fatness. Although
many studies have reported higher prevalence of obesity and
poor physical tness in populations with DS,
29,30
there are no prior
studies that examined the association between several markers of
fatness and components of physical tness in this population.
Contradictory results, however, have been reported in indivi-
duals with intellectual disabilities, which included people with DS.
For example, Salaun and Berthouze-Aranda
31
compared obese
and non-obese groups with several measures of physical tness in
87 adolescents with intellectual disability, of which 3 adolescents
had DS. The results of this study revealed that there were
signicant differences among non-obese and obese groups by
body fat categories and components of physical tness, but there
was no link between body mass index and components of
Table 2. Correlations between fatness and tness in adolescents with and without Down syndrome
Body mass index
(kg m
2
)
Waist
circumference (cm)
Waist-to-
height ratio
Triceps
skinfold (mm)
Subscapular
skinfold (mm)
Body fat
(%)
Handgrip
strength (kg)
Standing long
jump (cm)
Motor tness
(sec × 1)
Cardiorespiratory
tness (laps)
Body mass index (kg m
2
)0.889** 0.874** 0.670** 0.770** 0.715** 0.186 0.104 0.050 0.092
Waist circumference (cm) 0.820** 0.906** 0.659** 0.762** 0.710** 0.175 0.136 0.034 0.108
Waist-to-height ratio 0.799** 0.898** 0.676** 0.772** 0.704** 0.026 0.214* 0.128 0.167
Triceps skinfold (mm) 0.750** 0.765** 0.763** 0.758** 0.901** 0.075 0.165 0.106 0.151
Subscapular skinfold (mm) 0.780** 0.830** 0.831** 0.880** 0.896** 0.039 0.247* 0.176 0.227
Body fat (%) 0.765** 0.799** 0.805** 0.971** 0.940** 0.083 0.217* 0.154 0.183
Handgrip strength (kg) 0.253** 0.339** 0.061 0.047 0.105 0.049 0.486** 0.495** 0.472**
Standing long jump (cm) 0.257** 0.189* 0.356** 0.418** 0.370** 0.426** 0.470** 0.678** 0.622**
Motor tness (sec × 1) 0.302** 0.261** 0.352** 0.436** 0.423** 0.450** 0.312** 0.674** 0.674**
Cardiorespiratory tness
(laps)
0.371** 0.315** 0.368** 0.500** 0.457** 0.528** 0.125 0.413** 0.480**
Values above the diagonal are correlation in adolescents with Down syndrome, whereas values below the diagonal are Pearson correlation in adolescents without Down syndrome, controlling for sex and age
within each population group. *Po0.05, **Po0.001 denotes statistical signicance.
Fatness and physical tness in Down syndrome
R Izquierdo-Gomez et al
3
© 2015 Macmillan Publishers Limited International Journal of Obesity (2015) 1 6
physical tness. Foley et al.
32
showed a signicant relationship
between low levels of body fatness and high levels of health-
related physical tness in 427 adolescents with intellectual
disabilities. In individuals with DS, only Wee et al.
9
examined the
effect of fatness on physical tness in young people with and
without DS, but analyses were limited to body mass index and
cardiorespiratory tness (VO
2peak
). Overall, this study found that
there was a signicant main effect of weight status on physical
tness in both young people with and without DS (n= 151 and
503, respectively). However, the results indicated that the real
impact of fatness on cardiorespiratory tness levels was almost
exclusively observed in the group of children and adolescents
without DS.
Our results support the preliminary ndings from Wee et al.
9
so
that there were no differences in cardiorespiratory tness
according to fatness categories, while remarkable differences
were found in adolescents without DS. In addition, intervention
studies found similar ndings in this population. For instance,
Li et al.
33
reported in a Systematic Reviewed that intervention
groups from studies focus on losing weight in people with DS did
not improve fatness. González-Agüero et al.
34
also found that
adolescents with DS did not change the percentage of fat after a
training period. In contrast, studies reported improvements in
some physical tness variables as compared with control groups.
Li et al.
33
also showed that interventions based on enhancing
physical activity found improvements in muscular tness and
balance in DS intervention groups. Similarly, in previous studies,
our group found that objectively measured physical activity was
positively associated with tness variables independent of fatness
in adolescents with DS,
35
but physical activity was not associated
with fatness. Taken together, these and our ndings suggest that
clinical interventions to build physical tness in young people with
DS are warranted, taking into account that no benecial changes
in fatness parameters must be expected.
A meta-analysis study in adolescents without disabilities
suggested that losing-weight intervention studies are effective
in this population.
36
In fact, evidence reported that intervention
studies reduced fatness and enhanced physical tness in
adolescents without disabilities.
37
Some studies that used
objectively physical activity by accelerometry have found
consistent results, and moderate to high levels of physical activity
were negatively associated with fatness and positively associated
with physical tness in population without DS.
38,39
For example, in
the HELENA study, Martinez-Gomez et al.
40,41
found that levels of
objectively measured physical activity were negatively associated
with fatness variables and with cardiorespiratory tness
Table 3. Differences in physical tness according to body mass index and % body fat categories in adolescents with and without Down syndrome
Down syndrome Non-Down syndrome
Normal-weight/fat Overweight/over-fat PNormal weight/fat Overweight/over-fat P
nn n n
Body mass index
Handgrip strength (kg) 55 15.25 ±5.68 54 16.49 ±7.40 0.136 156 27.06 ±7.35 66 26.83 ±8.32 0.295
Standing long jump (cm) 55 79.35 ±41.01 54 66.66 ±33.38 0.116 156 168.48 ±30.48 66 150.35 ±30.82 o0.001
Motor tness (sec × 1) 55 19.40 ±4.74 54 19.57 ±4.71 0.944 156 11.76 ±0.95 66 12.43 ±1.43 o0.001
Cardiorespiratory tness (laps) 55 8.64 ±6.57 54 7.35 ±4.95 0.326 156 53.81 ±24.41 66 40.42 ±19.89 o0.001
Body fat
Handgrip strength (kg) 25 15.38 ±5.07 80 16.15 ±7.12 0.652 161 27.02 ±7.79 61 26.92 ±7.25 0.189
Standing long jump (cm) 25 78.68 ±36.07 80 71.71 ±38.44 0.263 161 169.91 ±30.69 61 145.08 ±26.77 o0.001
Motor tness (sec × 1) 24 18.07 ±2.92 80 19.69 ±4.79 0.048 161 11.70 ±0.93 61 12.64 ±1.06 o0.001
Cardiorespiratory tness (laps) 24 8.79 ±7.31 79 7.89 ±5.44 0.203 161 54.73 ±24.16 61 36.89 ±17.75 o0.001
Data are mean ±s.d. Differences within groups were adjusted for sex and age. Statistically signicant values are shown in bold (Po0.05).
Table 4. Differences in physical tness according to waist circumference and waist-to-height ratio categories in adolescents with and without Down
syndrome
Down syndrome Non-Down syndrome
Not at risk At risk PNot at risk At risk P
nn n n
Waist circumference
Handgrip strength (kg) 87 15.6 ±6.0 22 16.9 ±8.5 0.324 167 26.6 ±7.5 55 28.3 ±7.8 0.009
Standing long jump (cm) 86 74.5 ±37.9 23 67.7 ±37.8 0.476 167 166.8 ±30.0 55 151.8 ±33.9 o0.001
Motor tness (sec × 1) 86 19.7 ±5.0 23 18.8 ±3.3 0.403 167 11.8 ±0.9 55 12.4 ±1.2 o0.001
Cardiorespiratory tness (laps) 86 8.2 ±5.9 23 7.4 ±5.8 0.595 167 52.9 ±23.9 55 40.2 ±21.5 o0.001
Waist-to-height ratio
Handgrip strength (kg) 62 15.60 ±5.08 47 16.23 ±8.20 0.822 204 27.01 ±7.58 18 26.73 ±8.37 0.865
Standing long jump (cm) 62 81.34 ±39.62 47 62.14 ±32.51 0.002 204 164.87 ±31.03 18 142.94 ±32.21 0.001
Motor tness (sec × 1) 62 18.69 ±3.77 47 20.53 ±5.58 0.026 204 11.88 ±0.99 18 12.85 ±1.26 o0.001
Cardiorespiratory tness (laps) 61 8.52 ±5.92 46 7.32 ±5.69 0.120 204 51.34 ±23.86 18 32.67 ±17.22 o0.001
Data are mean ±s.d. Differences within groups were adjusted for sex and age. Statistically signicant values are shown in bold (Po0.05).
Fatness and physical tness in Down syndrome
R Izquierdo-Gomez et al
4
International Journal of Obesity (2015) 1 6 © 2015 Macmillan Publishers Limited
independently of fatness. In a subsample of this study, Moliner-
Urdiales et al.
42
found that all markers of central fat measured with
DEXA and Bodpod were negatively associated with vigorous
physical activity.
Some of the strengths of the present study are the relatively
large and heterogeneous sample of adolescents with DS, and the
use of a control group. Another strength is the complete and
standardized assessment of fatness and physical tness compo-
nents in both populations. However, this study has several
limitations. The cross-sectional nature of this study limits the
ability to address causality. In addition, it was undertaken a
convenience sample, which limit the generalizability across
populations. The lack of standard reference values for overweight
and being at risk of obesity according to waist circumference and
body fat in adolescents with DS affect the result of this study. Our
results may not be generalizable and additional studies, mainly
intervention and prospective designs, are warranted to conrm
these ndings. Finally, diet information is important, so further
studies should examine whether the role of fatness on tness in
adolescents with DS might be inuenced by dietary patterns and
physical activity.
In summary, the results of the present study show that the
association of fatness on physical tness is different in adolescents
with and without DS. Fatness was not associated with physical
tness components in adolescents with DS, but in adolescents
without DS, fatness remains to be a key factor of their physical
tness levels. Because previous interventions in physical activity in
adolescents with DS improved physical tness but not fatness and
in adolescents without DS both features are improved, future
interventions must be target-specic in adolescents with DS.
CONFLICT OF INTEREST
The authors declare no conict of interest.
ACKNOWLEDGEMENTS
We would like to thank all adolescents with DS, parents and institution collaborators
in this study. This study was supported by the DEP 2010-21662-C04-00 grant from the
National Plan for Research, Development and Innovation (R+D+i) MICINN.
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Fatness and physical tness in Down syndrome
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© 2015 Macmillan Publishers Limited International Journal of Obesity (2015) 1 6
35 Izquierdo-Gomez R, Martínez-Gómez D, Villagra A, Fernhall B, Veiga OLon behalf
of the UP&DOWN study group. Associations of physical activity with fatness and
tness in adolescents with Down syndrome: The UP&DOWN study. Res Dev Disabil
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APPENDIX
UP&DOWN group
Coordinator: Ascension Marcos. Principal Investigators: Ascension
Marcos, Oscar L. Veiga, Jose Castro-Piñero, and Fernando Bandrés.
Scientic Coordinators: David Martinez-Gomez (chair), Jonatan R.
Ruiz (co-chair), Ana Carbonell-Baeza, Sonia Gomez-Martinez,
and Catalina Santiago. Spanish National Research Council:
Ascension Marcos, Sonia Gomez-Martinez, Esther Nova, Esperanza
L. Diaz, Belén Zapatera, Ana M. Veses, Jorge R. Mujico, and
Alina Gheorghe. Autonomous University of Madrid: Oscar L. Veiga,
H. Ariel Villagra, Juan del-Campo, Carlos Cordente (UPM),
Mario Diaz, Carlos M. Tejero, Aitor Acha, Jose M. Moya,
Alberto Sanz, David Martinez-Gomez, Veronica Cabanas-Sanchez,
Gabriel Rodriguez-Romo (UPM), Rocio Izquierdo-Gomez,
Laura Garcia-Cervantes, and Irene Esteban-Cornejo. University of
Cadiz: José Castro-Piñero, Jesús Mora-Vicente, José L. González-
Montesinos, Julio Conde-Caveda, Francisco B. Ortega (UGR),
Jonatan R. Ruiz (UGR), Carmen Padilla Moledo, Ana Carbonell
Baeza, Palma Chillón (UGR), Jorge del Rosario Fernández,
Ana González Galo, Gonzalo Bellvís Guerra, Álvaro Delgado
Alfonso, Fernando Parrilla, Roque Gómez, and Juan Gavala.
Complutense University of Madrid: Fernando Bandrés, Alejandro
Lucia (UEM), Catalina Santiago (UEM), and Felix Gómez-
Gallego (UEM).
Fatness and physical tness in Down syndrome
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International Journal of Obesity (2015) 1 6 © 2015 Macmillan Publishers Limited
... The results of the current study are in partial agreement with previous literature in adolescents with IDD which also indicates that sex (Downs et al. 2013;Boddy et al. 2015;Izquierdo-Gomez et al. 2015b), age (Esposito et al. 2012;Boddy et al. 2015;Wouters et al. 2019) and diagnosis of DS (Lin et al. 2010;Wouters et al. 2019) are not associated with MVPA. However, in contrast with previous research in youth with IDD (Esposito et al. 2012;Izquierdo-Gomez et al. 2016;Pitchford et al. 2018) which found no associations between BMI and MVPA, we observed a negative association between BMI and MVPA as well as waist circumference and MVPA, suggesting that increased adiposity may be associated with decreased MVPA. However, these previous studies were conducted only in adolescents with DS, who are genetically predisposed to higher BMI and fat mass (Bertapelli et al. 2016). ...
... We found no statistically significant associations between MVPA and cardiovascular fitness or strength. Of the two previous studies that assessed cardiovascular fitness, Matute-Llorente et al. (2013) reported positive correlation with MVPA, while Izquierdo-Gomez et al. (2016) reported no correlation with MVPA. However, both previous studies were conducted only in adolescents with DS, and used different protocols to measure cardiovascular fitness, than the submaximal assessment used in the current study. ...
... However, both previous studies were conducted only in adolescents with DS, and used different protocols to measure cardiovascular fitness, than the submaximal assessment used in the current study. Izquierdo-Gomez et al. (2016) used a field-based test and Matute-Llorente et al. (2013) used a maximal treadmill test. In youth who are typically developing, studies have reported weak associations between overall PA and fitness, although the association becomes stronger with greater proportions of vigorous intensity PA (r = 0.15-0.29) ...
Article
Background: Although correlates of physical activity (PA) have been extensively examined in both children and adolescents who are typically developing, little is known about correlates of moderate to vigorous physical activity (MVPA) and sedentary time in adolescents with intellectual and developmental disabilities (IDD). Therefore, we examined intrapersonal, interpersonal and environmental factors and their association with device-based MVPA and sedentary time in adolescents with IDD. Methods: MVPA and sedentary time was assessed using a hip-worn ActiGraph model wGT3x-BT tri-axial accelerometer across a 7-day period in adolescents with IDD and one of their parents. Pearson and point-biserial correlations were calculated to inspect the associations of PA (MVPA, sedentary time) with intrapersonal factors (demographic characteristic, BMI, waist circumference, motor ability, muscle strength, grip strength, cardiovascular fitness and self-efficacy for PA), interpersonal factors (parent demographics, parent BMI, parent MVPA and sedentary time, family social support for PA, parent barriers and support for PA, parent's beliefs/attitudes towards PA and number of siblings), and environmental factors (meteorologic season and COVID-19). Ordinary least squares regression was used to estimate the unique contributions of key factors to PA after controlling for participants' age, sex, race, waist circumference and total wear time. Results: Ninety-two adolescents (15.5 ± 3.0 years old, 21.7% non-White, 6.5% Hispanic, 56.5% female) provided valid accelerometer data. Average sedentary time was 494.6 ± 136.4 min/day and average MVPA was 19.8 ± 24.2 min/day. Age (r = 0.27, P = 0.01), diagnosis of congenital heart disease (r = -0.26, P = 0.01) and parent sedentary time (r = 0.30, P = 0.01) were correlated with sedentary time. BMI (r = -0.24, P = 0.03), waist circumference (r = -0.28, P = 0.01), identifying as White (r = -0.23, P = 0.03) and parent MVPA (r = 0.56, P < 0.001) were correlated with MVPA. After adjusting for the adolescent's age, sex, race, waist circumference, and total wear time, the association between parent and adolescent MVPA remained significant (b = 0.55, P < 0.01, partial η2 = 0.11). Conclusion: The results of this study provide evidence that race, waist circumference and parental MVPA may influence the amount of MVPA in adolescents with IDD. The limited available information and the potential health benefits of increased MVPA highlight the need to evaluate the effectiveness of multi-component interventions targeting both intrapersonal and interpersonal levels to promote increased PA in adolescents with IDD.
... Previous studies have shown that the relation between fatness and fitness observed in the general population is not apparent in individuals with DS (Wee et al. 2015;Izquierdo-Gómez et al. 2016); however, these studies used general measures like BMI and circumferences instead of a more detailed profile of body composition. As low levels of cardiorespiratory fitness can limit individuals with DS in their ability to perform daily activities and to maintain a healthy lifestyle (Chen and Ringenbach 2018), it is important to determine what factors contribute to cardiorespiratory fitness in individuals with DS. ...
... The lack of relationship between BMI, percent body fat, and cardiorespiratory fitness in DS is in line with previous studies from Izquierdo-Gomez et al. (2013) and Izquierdo-Gómez et al. (2016) who also found that the associations between fatness and fitness in individuals with DS was different from without DS. It is worth nothing that these studies were performed using one group of children, young adolescents and adults, which could attenuate comparability to this study, due to the inherent anthropometric differences between children and adults. ...
Article
Background Cardiorespiratory fitness, expressed as peak oxygen uptake during exercise (VO2peak), is an important predictor of cardiovascular health and is related to anthropometry in the general population. Individuals with Down syndrome (DS) have reduced cardiorespiratory fitness and often exhibit different anthropometrics compared with the general population. Interestingly, the relation between anthropometry and cardiorespiratory fitness found in the general population is not apparent in individuals with DS. However, accurate measures with dual energy X‐ray absorptiometry (DEXA) scan have not been used to investigate this relationship in this population. The purpose of this paper was to investigate the relationship between accurate measures of anthropometry and cardiorespiratory fitness in adults with DS compared with an age‐matched and sex‐matched control group. Methods Anthropometrics (height, weight, waist and hip circumference, body composition via DEXA) and cardiorespiratory fitness (VO2peak, measured during a graded maximal exercise test) were assessed in adults with (n = 9; 25 ± 3 years; 6 male patients) and without DS (n = 10, 24 ± 4 years; 5 male patients). Results Participants with DS were shorter (P < 0.01) than without DS and had a higher body mass index (P < 0.01), waist circumference (WC) (P = 0.026) and waist/height ratio (WHtR) (P < 0.01), but similar weight, body surface area (BSA), waist/hip ratio and body composition (P > 0.05). Participants with DS had significantly lower relative VO2peak and VO2peak corrected for total lean mass (TLM), but similar absolute VO2peak, compared with without DS. In participants with DS, only WC and WHtR were associated with VO2peak, whereas in participants without DS, height, weight, BSA, TLM, leg lean mass and body fat percentage were associated with VO2peak. Conclusions These results suggest that the relation between anthropometry and cardiorespiratory fitness found in the general population is not the same in adults with DS and that anthropometrics do not fully explain cardiorespiratory fitness in adults with DS. Further research into potential alternative explanations is required.
... Parental engagement, which can provide direct modeling and an encouraging home environment (15,16), is generally considered to be an important facilitator of increased MVPA in children and adolescents with IDD (17). However, empirical evidence to support this hypothesis is limited to cross-sectional analyses, which suggest an association between parent and adolescent MVPA, when using both self-reported (18)(19)(20) and device-assessed MVPA (21) and one randomized pilot weight management trial, which included an MVPA component that demonstrated greater increases in accelerometer-assessed MVPA across a 6-month intervention, which included parental support/training (n = 11) versus the same intervention without parental support/training (n = 10) (22). We are unaware of any adequately powered randomized trials that have evaluated the impact of parental support on participation in MVPA in adolescents with IDD. ...
Article
Introduction Moderate-to-vigorous physical activity (MVPA) is inadequate in adolescents with intellectual and developmental disabilities (IDD). This report describes the results of an 18-mo. clinical trial in adolescents with IDD which compared changes in accelerometer assessed daily MVPA, gross motor quotient and leg press strength between participants randomized to an exercise intervention delivered to adolescents only (AO) or to the adolescent and a parent (A + P). Methods The 18-mo. trial included a 6-mo. active intervention, 6-mo. maintenance interventions, and a 6-mo. no-contact follow-up. Adolescents in both arms were asked to attend 40 min. remotely delivered group video exercise sessions (0-6 mos. =3 sessions·wk ⁻¹ ., 7-12 mos. =1 session·wk ⁻¹ ). In the A + P arm, one parent/guardian was asked to attend all group remote video exercise sessions and a monthly remotely delivered 30-min. educations/support session with their adolescent across the 12-mo. intervention. Results Adolescents ( n = 116) with IDD (age ~ 16 yrs., 52% female) were randomized to the AO ( n = 59) or A + P ( n = 57) arms. Mixed modeling, controlling for baseline MVPA and season, indicated minimal but statistically significant changes in MVPA across 6 ( p = 0.006), 12 ( p < 0.001), and 18 mos. ( p < 0.001). However, the change in MVPA in the two intervention arms did not differ significantly at any time point (all p > 0.05). Similarly, gross motor quotient and leg press strength improved significantly over time ( p < 0.001) and these changes did not differ between intervention arms (all p > 0.05). Conclusions Parental involvement had no impact on changes in daily MVPA, gross motor quotient or leg press strength in response to a remotely delivered exercise intervention in adolescents with IDD.
... It accounts for ~14 in 10,000 live births in the USA [1] and ~1.72 in 1,000 births in the UK [2]. It is characterised by diminished cognitive and executive function [3], chronotropic incompetence [4], elevated adiposity [5], neuromuscular conditions [6], immunological suppression [7] and reduced lung function [8]. Additionally, individuals with DS express poor short-term memory [9] but show relative strength in visual-spatial awareness and sensory processing [10]. ...
Article
Full-text available
Down syndrome (DS) is characterised by a duplication of chromosome-21 and is linked to co-occurring physical and mental health conditions, including low self-efficacy and disturbed mood states. The purpose of this study was to investigate the effects of an eight-week prescribed physical and/or cognitive training intervention on measures of mood disturbance, life satisfaction and self-efficacy in a population of adults with DS. Eighty-three participants (age 27.1 ± 8.0 years) from across five continents volunteered. Participants were assigned using matched groups based upon performance in a modified six-minute walk test to either an exercise (EXE) 3 × 30 min of walking/jogging per week, cognitive training (COG) 6 × 20 min per week, a combined group (COM) or the control (CON) who did not complete any intervention. Profile of Mood States (POMS) were assessed using a five-point scale across 65 categories pre- and post-study as well as upon completion of each week of the intervention. In addition, Satisfaction with Life Scale (SWLS) and self-efficacy using the Generalised Self-Efficacy scale (GSE) were recorded before and after the intervention. GSE increased for all participants by 1.9 ± 5.2 (p = 0.002) from pre- to post-intervention, while POMS showed significant changes for the whole group from pre- to post-intervention for tension (p < 0.001), depression (p < 0.001) and for anger (p < 0.001). In addition, significant correlations were observed between SWLS and ΔTMD, Δtension, Δanger, and Δfatigue (p < 0.05) for EXE. Both COG and EXE provide a framework for empowering enhancements in life satisfaction, self-efficacy and mood states fostering improvements in quality of life.
... However, in people with DS, literature presents divergent results as for example presented in the cross-sectional study carried out by Beck et al. 14 no relationship between aerobic fitness, body fat and body mass index (BMI) were noted. Izquierdo-gomez et al. 15 , when conducting a cross-sectional survey in Spain with 222 adolescents (111 with DS), have noted an inverse association between BMI, body fat and aerobic fitness. Then in follow-up study, in which the adolescents were followed for two years, authors noticed a decrease in aerobic fitness in those individuals with high body fat and BMI (at the baseline) 16 . ...
Article
Full-text available
People with Down Syndrome (DS) present metabolic differences when compared to the general population, which ends up at a higher prevalence of overweight and lower rates of aerobic fitness. The aim of this study was analysing the association of aerobic fitness and body composition in individuals with DS. Thirty individuals with DS from the city of Londrina / Brazil with a mean age of 18.00±3.66 years were evaluated. The variables body mass index, body fat, and aerobic fitness (VO²peak) were investigated. Men were taller than women, presented a higher percentage of lean body mass and higher VO²peak, while women showed higher means for android, gynoid and total fat. Aerobic fitness was positively associated with bone mineral density and inversely associated with nutritional status, lean body mass and body fat. Keywords: Disabled Persons; Down Syndrome; Intellectual Disability
... Additionally, as all participants were from a sample of adolescents with mild to moderate IDD who had overweight or obesity and were motivated to lose weight, and thus, the results are not generalizable to all adolescents with IDD. Increased physical activity has the potential to facilitate weight management and improve cardiovascular fitness (Izquierdo-Gomez et al. 2015), muscular strength and endurance (Shields et al. 2013), and reduce chronic disease risk (Wallen et al. 2013) in individuals with IDD. However, the lack of success in increasing MVPA in adolescents with IDD in general Hassan et al. 2019) and specifically for adolescents with IDD participating in a weight loss programme argues for the evaluation of additional strategies for increasing physical activity in adolescents with IDD such as increased parental education and involvement, peer social support, and behavioural techniques/incentive systems to improve motivation for physical activity. ...
Article
Background Adolescents and young adults with intellectual and developmental disabilities (IDD) have high rates of obesity and low levels of physical activity. This analysis examined changes in light, moderate-to-vigorous physical activity (MVPA) and sedentary time, and the association between changes in MVPA and weight loss in adolescents and young adults with IDD and overweight and obesity participating in a 6-month multi-component weight loss intervention. Methods Adolescents and young adults with IDD and overweight or obesity (body mass index ≥ 85 percentile, n = 110, age ~16 years, 52.7% female) and a parent were randomised to one of three intervention groups: face-to-face delivery/conventional reduced energy diet (n = 36), remote delivery (RD)/conventional reduced energy diet (n = 39), or RD/reduced energy enhanced stop light diet (eSLD) (n = 35.) Participants were asked to engage in 60 min/day of MVPA on 5 or more days/wk. Participants and a parent attended twice monthly education/behavioural counselling sessions with a health educator to assist participants in complying with dietary and MVPA recommendations. Education/counselling in the RD arms was delivered remotely using video conferencing, and self-monitoring of MVPA and daily steps was completed using a wireless activity tracker. Education/counselling in the face-to-face arm was delivered during home-visits and self-monitoring of MVPA and daily steps was completed by self-report using paper tracking forms designed for individuals with IDD. MVPA, light activity, and sedentary time were assessed over 7 days at baseline and 6 months using a portable accelerometer (ActiGraph wGT3x-BT). Results Mixed modelling analysis completed using participants with valid accelerometer data (i.e. ≥4–10 h days) at baseline (n = 68) and 6 months (n = 30) revealed no significant changes in light, moderate- MVPA, or sedentary time across the 6-month intervention (all P > 0.05). Participants obtained 15.2 ± 21.5 min/day of MVPA at baseline and 19.7 ± 19.7 min/day at 6 months (P = 0.119). Mixed modelling indicated no significant effects of group (P = 0.79), time (P = 0.10), or group-by-time interaction (P = 0.21) on changes in MVPA from baseline to 6 months. Correlational analysis conducted on participants with valid accelerometer data at both baseline and 6 months (n = 24) revealed no significant associations between baseline sedentary time (r = 0.10, P = 0.40) and baseline MVPA (r = −0.22, P = 0.30) and change in MVPA across the 6-month intervention. Additionally, attendance at education/counselling sessions (r = 0.26, P = 0.22) and frequency of self-monitoring of MVPA were not significantly associated with change in MVPA from baseline to 6 months (r = 0.26, P = 0.44). Baseline MVPA (r = 0.02, P = 0.92) and change in MVPA from baseline to 6 months (r = 0.13, P = 0.30) were not associated with changes in body weight across the 6-month intervention. Conclusion We observed a non-significant increase in MVPA (30%), which was not associated with the magnitude of weight loss in a sample of adolescents and young adults with IDD who participated in a 6-month multi-component weight loss intervention. Additional strategies to increase MVPA in adolescents and young adults with IDD participating in weight loss interventions need to be developed and evaluated.
... Approximately 1% to 3% of the United States population are diagnosed with intellectual and developmental disabilities [16]. Research has shown that the prevalence of obesity and overweight is greater among the population individuals with intellectual and disabilities (IDD) than the general population [17]. ...
... In DS, many studies proposed the implementation of regular PA sessions [28,31,35,36] ...
Article
Full-text available
Youth with Down syndrome (DS) have a higher prevalence of overweight and obesity compared to the general youth population. Due to physiological and cognitive differences observed in youth with DS, weight management recommendations developed for the general population, may not be suitable for youth with DS. However, there are no recent recommendations for weight management in youth with DS. A workgroup of clinicians and researchers with extensive experience working with youth with DS came together to give clinicians and families guidance for weight management in youth with DS. Recommendations were developed by the workgroup via a methodical, deliberative process. After the initial development of the recommendations, they were shared with an expert review panel and caregivers who rated the strength of the recommendation and strength of the evidence. The workgroup moved forward the recommendations which the review panels rated as strong. Eight recommendations were developed which focused on screening for overweight and obesity, screening for health conditions that may impact dietary intake and physical activity, screening for feeding difficulties, setting appropriate recommendations for dietary intake and physical activity, and well as prevention and treatment of overweight and obesity using evidence-based strategies. These recommendations can be implemented by clinicians working with youth with Down syndrome as well as the family, school, and other relevant entities.
Article
Full-text available
An objective diagnosis of sedentary behaviour as well as of the physical activity and fitness levels in youth and to better understand how lifestyle is associated with cardiovascular disease risk factors and other phenotypes is of clinical and public health interest, and might be informative for developing intervention studies focused on the promotion of physical activity in these population. The aim of this methodological paper is to describe the design and assessment in the UP&DOWN study. The UP&DOWN study is a multi-center follow-up design where 2225 Spanish primary and secondary schoolchildren from Cadiz and Madrid, respectively, as well as 110 Spanish adolescents with Down syndrome from Madrid and Toledo were recruited to be assessed. Nine main measurement categories are assessed: i) socio-demographic and early determinants; ii) environmental determinants; iii) physical activity and sedentary behaviour; iv) health-related fitness; v) blood pressure and resting heart rate; vi) mental health; vii) dietary patterns; viii) blood samples; and ix) genetic analysis. During the 3-yr follow-up study, socio-demographic and early determinants, and genetic analysis are only assessed in the first year. Blood sampling is assessed in the first year and the third year (2nd follow-up), and all the other measurements are assessed every year. The findings of the UP&DOWN study may help the Health Information Systems and policy makers to identify the target population for primary prevention and health promotion policies, and to develop and test preventive strategies. Moreover, these data will allow following the trends at population level, as well as to modify/adapt/create new evidence-based physical activity guidelines at national level. The findings will also serve as a scientific platform for interventional studies.
Article
Full-text available
Background: This meta-analysis study aims to assess the efficacy of school-based and after-school intervention programs on the BMIs of child and adolescents, addressing the correlation between some moderating variables. Methods: We analyzed 52 studies (N = 28,236) published between 2000-2011. Results: The overall effect size was 0.068 (P < .001), school (r = .069) and after-school intervention (r = .065). Programs conducted with children aged between 15-19 years were the most effective (r = .133). Interventions programs with boys and girls show better effect sizes (r = .110) than programs that included just girls (r = .073). There were no significant differences between the programs implemented in school and after-school (P = .770). The effect size was higher in interventions lasting 1 year (r = .095), with physical activity and nutritional education (r = .148), and that included 3-5 sessions of physical activity per week (r = .080). The effect size also increased as the level of parental involvement increased. Conclusions: Although of low magnitude (r = .068), the intervention programs had a positive effect in prevention and decreasing obesity in children. This effect seems to be higher in older children's, involving interventions with physical activity and nutritional education combined, with parent's participation and with 1-year duration. School or after-school interventions had a similar effect.
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Children (5–12 years) and adolescents (13–19 years) with Down syndrome (DS) possess a set of health, anatomical, physiological, cognitive, and psycho-social attributes predisposing them to limitations on their physical fitness and physical activity (PA) capacities. The paucity of studies and their conflicting findings prevent a clear understanding and/or substantiation of these limitations. The purpose of this article was to review the measurement, determinants and promotion of physical fitness and PA for youth (i.e., children and adolescents) with DS. The existing body of research indicates that youth with DS: 1) have low cardiovascular and muscular fitness/exercise capacity; 2) demonstrate a greater prevalence of overweight and obesity; 3) a large proportion do not meet the recommended amount of daily aerobic activity; and 4) their PA likely declines through childhood and into adolescence. Future research should focus on: 1) strength testing and training protocols; 2) methodologies to determine PA levels; and 3) practical interventions to increase PA.
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