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Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review

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Background: It has been suggested that obesity and overweight in young people with autism spectrum disorder (ASD) presents a challenge to conventional weight reduction measures leading to poorer health outcomes in this population in comparison with typically developing children. In order to effectively adapt current obesity management guidelines for use in children with ASD more needs to be understood about the prevalence of overweight and obesity and the associated factors in this population. Aim: The purpose of this review is to appraise the evidence on obesity and overweight prevalence in the childhood ASD population from relevant studies selected using a computer generated database. The review explores the link between age, gender, physical activity and obesity in childhood ASD; and highlights areas for further research. The link between antipsychotic treatment and weight gain in childhood ASD is already well established and this review doesn't include an appraisal of the evidence supporting this link. Results: Compared to an obesity rate of 17% in typically developing children from the CDC’s National Health and Nutrition Examination survey (2011-2014); eight of the eleven studies included in this review reported higher obesity rates among children with ASD. Of these eight, three were only marginally higher than the NHANES prevalence. The highest rate was 30% and the lowest was 10%. Conclusion: There is a wide variation in prevalence estimates for obesity in children and adolescents with ASD, with most studies reporting prevalence rates equal to or greater than rates found in typically developing children. Several associated factors were identified but the strength of the evidence limits the value applicability of these findings. Many studies lacked a comparison group and more robust longitudinal studies are needed to ascertain strength of association and risk.
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Volume 19 • Issue 5 • 1000385
Research Article Open Access
Journal of Psychiatry
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ISSN: 2378-5756
Review Article Open Access
Balogun, J Psychiatry 2016, 19:5
DOI: 10.4172/2378-5756.1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
Abstract
Background: It has been suggested that obesity and overweight in young people with autism spectrum
disorder (ASD) presents a challenge to conventional weight reduction measures leading to poorer health outcomes
in this population in comparison with typically developing children. In order to effectively adapt current obesity
management guidelines for use in children with ASD more needs to be understood about the prevalence of
overweight and obesity and the associated factors in this population.
Aim: The purpose of this review is to appraise the evidence on obesity and overweight prevalence in the
childhood ASD population from relevant studies selected using a computer generated database. The review
explores the link between age, gender, physical activity and obesity in childhood ASD; and highlights areas for
further research. The link between antipsychotic treatment and weight gain in childhood ASD is already well
established and this review doesn't include an appraisal of the evidence supporting this link.
Results: Compared to an obesity rate of 17% in typically developing children from the CDC’s National Health
and Nutrition Examination survey (2011-2014); eight of the eleven studies included in this review reported higher
obesity rates among children with ASD. Of these eight, three were only marginally higher than the NHANES
prevalence. The highest rate was 30% and the lowest was 10%.
Conclusion: There is a wide variation in prevalence estimates for obesity in children and adolescents with
ASD, with most studies reporting prevalence rates equal to or greater than rates found in typically developing
children. Several associated factors were identied but the strength of the evidence limits the value applicability
of these ndings. Many studies lacked a comparison group and more robust longitudinal studies are needed to
ascertain strength of association and risk.
*Corresponding author: Femi Balogun, Child and Adolescent Psychiatrist,
National and Specialist CAMHS, South London and Maudsley NHS Trust, London,
United Kingdom, Tel: 44-770786138; E-mail: femi@doctors.org.uk
Received: June 05, 2016; Accepted:September 15, 2016; Published: September
22, 2016
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood
Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Copyright: © 2016 Balogun F. This is an open-access article distributed under
the terms of the Creative Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original author and
source are credited.
Prevalence and Correlates of Obesity in Childhood Autism Spectrum
Disorders: A Literature Review
Femi Balogun*
Child and Adolescent Psychiatrist, National and Specialist CAMHS, South London and Maudsley NHS Trust, London, UK
Keywords: Autism spectrum disorder; Obesity; Overweight;
Children; Adolescents; Physical activity; Age
Introduction
Childhood obesity has more than doubled in children and
quadrupled in adolescents in the past 30 years [1]. e World Health
Organization describes the trend as one of the most serious global public
health challenges of the 21st century. In response to the crisis, the UK
government in its 2008 White paper, Healthy Weight, Healthy Lives;
a cross government strategy for England; aimed to reduce paediatric
overweight and obesity to levels prevalent in 2000 by the year 2020. A
year later, the department of health launched the Change4Life campaign
to raise awareness about diet and physical activity, and encourage
families to “eat well, move more and live longer”. Observatories such as
the National Obesity Observatory were established to track paediatric
obesity trends and monitor the eectiveness of policy initiatives.
Another reporting mechanism was the National Child Measurement
Programme (NCMP) which publishes annual UK childhood obesity
rates. Nonetheless, more action is required at a public health level to
achieve these government targets, and these include policy measures for
a sugar tax on the food industry to tackle the high caloric intake culture
of our 'obesogenic' society. With more than half of obese school age
children likely to become obese adults, the cost of obesity to the NHS is
extremely high. e Foresight report published in 2007 estimated that
direct health care costs attributable to being overweight or obese were
£4.2 billion, potentially rising to £6.3 billion in 2015 and up to £9.7
billion by 2050. A more recent analysis estimated that being overweight
or obese costs the NHS £5.1 billion per year [2].
Obese children are at greater risk of developing obesity related
diseases such as insulin resistance, type 2 diabetes, cardiovascular
and circulatory problems (heart disease and stroke), certain cancers,
osteoarthritis and some mental health disorders [3]. e morbidity and
disability burden is therefore high and obesity is a risk factor for early
death. Childhood obesity rates in the UK have levelled o somewhat in
recent years, having peaked in 2004 (ONS, 2013); however they are still
much higher than they used to be. According to data from the Health
Survey for England, in 2013, the obesity prevalence of children aged
2-15 was 15%. Rates in Wales were signicantly higher at 19% (20%
for boys). Most recent reports from the NCMP in 2014-15, put obesity
prevalence at 19.1% in children aged 10-11 and 9.1% in 4-5 year olds.
Rates in the United States are about 17% with higher rates among boys
and older children in general (NHANES, 2014).
Unfortunately, we do not have the benet of such precise obesity
prevalence data for paediatric autism spectrum disorders (ASD).
ASD is characterised by communication decits, such as responding
inappropriately in conversations, misreading nonverbal interactions, or
diculty building friendships appropriate to their age. In addition, these
young people may be overly dependent on routines, highly sensitive to
changes in their environment, or intensely focused on inappropriate
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Page 2 of 6
Volume 19 • Issue 5 • 1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
items [4]. is neurodevelopmental disorder has a higher prevalence
in boys [5]. In 2008, NHS England put the prevalence of ASD among
5-16 year olds at 1%.
Why should the prevalence of obesity in children and adolescents
with ASD be any dierent from rates in their typically developing
peers? Several hypotheses abound. It has been suggested for instance,
that current guidelines for childhood obesity management and weight
control may not apply to children with ASD [6]. ese guidelines target
three core behaviours that modify weight status i.e. calorie intake,
physical activity and sedentary lifestyle. It has been postulated that
the core decits that dene ASD limit at the very least how well these
guidelines can deliver positive outcomes in children with ASD. Broadly
put, these suggestions highlight two possible theories. e rst is that
physical limitations associated with overt disability as seen in ASD and
signicant learning disability; or more subtle diculties with muscle
tone and coordination problems; hinder participation and engagement
in existing curriculum and community based exercise programs as
designed for typically developing children. e other argument is that
the core social interaction and communication decits of ASD limit
access to and participation in physical activity programs in and out of
school.
In principle, this subject has a place on the national 'Parity of
Esteem' agenda in that by meeting the physical health needs of children
with ASD; we can guarantee better outcomes for them in the area of
obesity related morbidity and mortality. is paper presents a general
review of the literature on the prevalence of obesity and overweight
in children and adolescents with ASD. It explores selected associated
factors (with a focus on age and physical activity) in an attempt to
provide answers to the question raised in the preceding paragraph. e
link between antipsychotic treatment and weight gain in childhood
ASD is well established and this review doesn't include an appraisal of
the evidence supporting this link.
Method
Computer databases (PsychInfo, Embase, CINAHL and Medline)
and Google Scholar for the period up to September 2015 were searched
for articles using key words 'autism spectrum disorder', 'pervasive
developmental disorder', 'autism', obesity', 'overweight', and' childhood'.
Inclusion and exclusion criteria were applied to the abstracts of the
papers generated from this search to obtain relevant papers included
in the review. Other relevant papers were identied by searching the
reference lists of these suitable papers.
Inclusion and exclusion criteria
Studies focused on obesity and overweight in childhood ASD or
PDD including case reports were included (Figure 1). Studies reporting
physical activity patterns levels in children and young people up to the
age of 19 with ASD were included.
Studies reporting obesity prevalence rates in other
neurodevelopmental disorders were included provided children or
adolescents with ASD were also studied. Papers focused on food
selectivity and sensitivity in children and young people with ASD
were excluded. Also excluded were studies focused on genetic factors
and chromosomal syndromes and those including young people with
physical disabilities.
All papers were in the English language (one paper may have been
translated by the authors from Chinese for inclusion in the English
literature). 12 cross sectional studies were included in the review.
Obesity was dened as BMI above the 95th percentile and overweight
was dened as MI between the 85th and 95th percentile using the
Centre for Disease Control's BMI growth reference charts.
Results
Prevalence
In a retrospective chart review involving 42 children with a diagnosis
of ASD from a tertiary clinic in Boston, Curtin et al. [7] reported a 19%
and 35.7% prevalence of obesity and overweight respectively. Compared
with data from the National Health and Nutrition Examination Study
(NHANES, 1999-2002), the investigators concluded that obesity and
overweight rates in the childhood ASD population was similar to rates
in typically developing children and the problem was as 'signicant in
children with ASD as in the general population'. e sample was small
and no sample size calculation was reported. Almost ninety percent of
the charts reviewed were of children 11 years or younger with half of
the entire sample 5 years or less. Furthermore there was no comparison
group and the sample contained no children of African-American
ethnicity. e data represented ASD children from a special population
and the reported obesity rates are unlikely to be generalizable to the
broader population of children with ASD, thus limiting the external
validity of this study.
With data from a larger sample of 2976 children collected in the
2003-2004 National Survey of Children's Health in the United States,
Curtin et al. [8], re-examined obesity prevalence in 454 ASD children
and reported higher rates of 30.4% compared to 23.6% in the non-ASD
group (p = 0.075). e data set was obtained by random digital dialling
of households across all y states of the US and DC with a response
rate of 55%. Information on height and weight was obtained by parental
report and was thus subject to information bias. Case ascertainment
was derived from a single screening question with no robust diagnostic
evidence thus increasing the risk of misclassication bias. e investigators
concluded that children with ASD were more likely to be obese than
Records screened
Title and abstract
(n=548)
Excluded
Publications with
psychophar macology f ocus
(n=82)
Excluded
Papers on genetic
syndromes, Learning
Disability a nd physical
disability
(n=12)
Excluded
ASD/PDD p ublications
without ob esity outcom es
(n=401)
Excluded
Papers on food sensiti vities
and dietar y patterns
(n=23)
Excluded
Papers on genetic
syndromes, Learning
Disability a nd physical
disability
(n=12)
Records identified through database
searching
Medline, PsychINFO, CINAHL,
Embase and Google Scholar
(n=656)
Records after duplicates removed
(n=548)
Records assessed for eligibility
meeting inclusion criteria
(n=21)
Included
Studies iden tified by
searching in refer ence lists
(n=3)
Excluded
Case reports
(n=2)
Publications included in Review
(n=19)
Studies included in Review
(n=14)
Figure 1: Attrition diagram for literature search.
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Page 3 of 6
Volume 19 • Issue 5 • 1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
children without ASD; the unadjusted odds of obesity in children with
ASD was 1.42 (95% CI, 1.00, 2.02, p = 0.052) (Figure 2).
Zuckerman et al. [6] examined the prevalence and correlates of
obesity and overweight in a clinical sample of 376 Oregon children
with ASD and reported rates of 17% and 18.1% respectively. is study
like the two mentioned above, involved secondary analysis of data
not originally collected for this primary purpose; and in this case was
derived from the Autism Treatment Network Registry. Weight and
height data were obtained by trained clinical sta and ASD diagnosis
informed by ADOS records. However, the sample was drawn from
academic health centres with a mean age of 5.5 years, and problems
with generalizability to the wider ASD population are likely. Missing
data was also a weakness of the study. Using the same data registry,
Vinck-Broody et al. [9] investigated obesity and overweight in a sample
of 2769 children. e study included a comparison group of a matched
sample of children from the NHANES, 2005-2010. e prevalence of
obesity and overweight was 18.2% and 33.9% respectively and ASD was
associated with a higher risk of obesity (but not overweight relative to
the NHANES sample (odds ratio 1.16; 95% CI 1.05-1.28, p = 0.003). A
similar prevalence for obesity (17.58%) but lower rate for overweight
(15.38%) was reported by Egan et al. [10] in a study involving a
retrospective chart review of 273 children with ASD referred for
specialist treatment. e mean age of the sample was a mere 3.89 years.
By contrast, Broder-Fingert et al. [11] in their work with American
children with 'autism' and 'Asperger’s syndrome' reported an obesity
prevalence of 23.8%; a rate surpassed only by reports from Curtin et
al. [8] and Memari et al. [12] ey carried out secondary data analysis
of just under 3000 children and included a control group (obesity rate
10.9%; overweight rate 6.3%) However, no mean age was reported and
the diagnostic category 'pervasive developmental disorder not otherwise
specied' was excluded from the sample, giving rise to misclassication
bias. Overweight prevalence was reported as 13.6%. e weight status of
113 Iranian children with Autism Spectrum Disorder was investigated
by Memari et al. [12] e study sample was drawn by stratied random
sampling from relatively well functioning children aged 7-14 years
enrolled in ve autism specic schools in Tehran. All children had a
diagnosis of ASD conrmed by a child psychiatrist using DSM IV TR
criteria. No power calculation for sample size was performed and there
was no control group. e prevalence of obesity was reported at 27.4%
with 13.3% overweight. As this sample comprised children attending
'autism-specic' school in urban Iran, doubt is cast on the external
validity of these results. Nonetheless, the study does raise important
issues related to the diculty of obtaining a representative sample in
studies of this kind.
Xiong et al. [13] studied the physical status of 429 Chinese children
(the vast majority male) with autism recruited from a school for autism
that provided an Applied Behavioural Analysis course. e mean age
was 5.1 years. e diagnosis of 'autistic disorder' was conrmed either
by a paediatrician or psychiatrist based on the Chinese classication
and diagnostic criteria of Mental Disorders. Children with Asperger’s
Syndrome and 'other autism disorders' were excluded from the study
sample. Based on this sample, Xiong et al. [13] reported an obesity
prevalence of 18.4% with 33.6% overweight. However, sampling factors
and classication dierences make it dicult to compare of the children
had BMI values that exceeded the cut-o scores for obesity while 42%
were overweight. ere are several limitations to this study not least the
small sample size and the absence of a power calculation. e authors
present the highest overweight prevalence of the studies presented in
this review in an age range between just over 2 years and 12.3 years.
ere were no signicant dierences between the PDD sub-groups.
Corvey et al. [14] in their work on 1385, 6-17 year olds with ASD,
used data from the National Survey of Children's Health (2011-2012);
and reported an obesity these rates with those obtained in other studies
(Table 1).
e body mass index of y boys with pervasive developmental
disorder in the UK was investigated by Whiteley et al. [15]. Formal
diagnosis was dened as autism, Asperger's syndrome and ASD and
the boys had a mean age of 6.6 years. It is unclear how the sample was
recruited and no mention is made as to whether these were clinic or
community samples. 10% prevalence rate of 16.4% with an overweight
rate of about 10%. ey concluded that having a diagnosis of ASD
was associated with higher odds of obesity (OR 1.76, CI 1.27-2.43, p <
0.001). However, when 'secondary conditions' were controlled for i.e.
e presence of learning disability and medication use, the association
with obesity is lost. We note that 73% of their sample had a learning
disability and 25% an intellectual disability both of which were not
dened by the authors. ese comorbidity rates may not be typical
of the wider ASD population and it raises generalizability questions.
Furthermore, the accuracy of data based on parental responses to single
screening questions also places limits on the utility of these ndings.
Hill et al. [16], compared obesity and overweight rates in 5053 children
with ASD and 8844 age matched children from the general population
and concluded that obesity was higher in ASD children; however the
dierence was only statistically signicant with non-white Hispanics
aged 2-17 years and His panic children aged 2-11 year. e ASD sample
was drawn from the Autism Talks Network registry and the comparison
sample from NHANES surveys over six years to 2013. Overall they
reported an obesity prevalence of 18% among children and adolescents
with ASD and 31.8% overweight prevalence. ough constrained by
the limitations of a secondary data analysis, the study was considerably
robust on sample size and case ascertainment only including children
diagnosed by professionals using the Autism Diagnostic Observation
Schedule (ADOS).
Associated Factors
Age
In their study of 113 Iranian children, Memari et al. [12], compared
obesity rates in four age groups with one year intervals across a 7-14
year range (mean age of 9.7 years). ey found the highest prevalence
40.00
32.00
24.00
16.00
8.00
0.00
Paediat
Paediat
ric ASD
ric Obes
i
g
US and
U
K child
r
en (%)
Obesity Prevalence %
ty Prevalence in typically developi n
Obesity
Prevalence (%)
Whiteley
et
al,
2004
Curtin
et
al,
2005
Xiong
et
al, 2009*
Curtin
et
al,
2010
Memari
et
al, 2012**
Broder-Fingert
et
al,
2013
Egan
et
al,
2013
V
inck-Baroody
et
al,
2014
Zuckerman
et
al,
2014
Hill
et
al,
2015
Corvey
et
al,
2015
NHANES,
1999-2000
NHANES,
2009-2010
UK
Prevalence ONS
2013
NHANES
2011-2014
Prevalence Studies (* Chinese Study, **Iranian Study)
Figure 2: Paediatric obesity rates in autism spectrum disorder.
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Page 4 of 6
Volume 19 • Issue 5 • 1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
Authors Country Obesity Prevalence
rate (%)
Overweight
prevalence rate (%)
Sample size
(N)
Sample Mean age in years (where mean age
is not provided age range is given in italics)
Whiteley et al. [15] UK 10 42 50 6.6
Curtin et al. [7] USA 19 36 42 2-18
Xiong et al. [13] China 18.4 34 429 5.5
Curtin et al. [8] USA 30.4 483 3-17
Memari et al. [12] Iran 27.4 13 113 7-14
Egan et al. [10] USA 17.58 15 273 3.89
Vinck-Baroody et al. [9] USA 18.2 34 2769 6.45
Zuckerman et al. [6] USA 17 18 376 5.5
Broder-Fingert et al. [11] USA 23.83 14 2976 2-20
Hill et al. [16] USA 18 33.6 5053 2-17
Corvey et al. [20] USA 16.4 9.9 1385 6-17
Table 1: Summary table of studies investigating obesity prevalence in paediatric ASD populations.
in the 13-14 year group (p = 0.06) with girls more likely to be obese
than boys. Half the sample was within normal BMI limits, thus limiting
the sample size of obese children. Furthermore, younger children were
not included in the study, thus limiting comparison across the entire
paediatric age range. eir conclusion that obesity is more prevalent in
older children with ASD is consistent with reports by Broder-Fingert
et al. [11].
Egan et al. [10] reported relatively high obesity prevalence rates
(17.58%) in a study of US preschool children with ASD (range 2.5 to
5 years; mean age 3.89, SD = 0.91). ey suggest these ndings are
consistent with prior research trends that demonstrate lower obesity
rates in younger typically developing children. However, the ndings do
question whether age is indeed a risk factor for obesity in the paediatric
ASD population. e reported obesity rates are higher than those seen
in typically developing children of the same age; and suggest that weight
management interventions may need to commence much earlier than
previously realized. Unfortunately, no comparisons with older children
were made. Zuckerman et al. [6] in their study of 376 young children
with ASD (mean age of 5.5 years, SD 3.2) reported similar obesity
rates but did not nd any correlation between age and weight status.
In China, Xiong et al. [13] also studied the weight status of younger
children with a mean age of 5.1 years (SD=1.7; range 2-11) with 71% of
the sample aged 5 or younger. Obesity rates were signicantly higher in
the 6-11 year group (21.8%) than in the 5 and under (17%). e data
was not compared to rates in age-matched typically developing Chinese
children. In a investigation of 50 UK children diagnosed with pervasive
developmental disorders, and aged between 2.4 to 12.3 years, Whiteley
et al, 2004 reported a relatively low obesity rate of 10%. e mean age of
the sample was 6.6 years and there was no control group.
Vinck-Baroody et al. [9] studied the weight status of children with
ASD in a large North American multisite clinic sample. e inclusion
criteria included age 2-17 years, though more than half the sample
was 5 years or younger and only 9% were adolescents age 12-17. e
investigators admit that as a whole the data bank from which the sample
was drawn is young. Rates of obesity were compared with typically
developing children in the national population sample (NHANES) and
the unadjusted OR in the 12-17 year group was 1.59 (95% CI,1.22-2.06;
p < 0.05). e OR in the 2-5 and 6-11 year groups showed no signicant
association with obesity further suggesting that the risk of obesity in
children with ASD may increase with age. A similar trend was reported
in the Curtin et al. [7] study. Over 80% of the 42 children with ASD
investigated were 11 years or younger with half the sample aged 2-5
years and only 12% aged 12-19 years. Obesity rates were highest in
the 12-19 age groups (50%) and lowest in the 2-5 age groups (14.2%).
e numbers in each age group however were quite small limiting the
power of the study and the external validity of these ndings. Broder-
Fingert et al. [11] also demonstrated higher obesity rates among older
age groups in their study of almost 3000 children with ASD. Compared
to children aged 6-11years, the odds of obesity were higher in children
aged 12 to 15 years (OR 1.87 CI: 1.33-2.63). e older children (age 16
and above) had even higher odds (OR 1.94 CI: 1.39-2.71).
Physical activity
It has been suggested that access to physical activity sessions as part
of a healthy lifestyle or indeed a weight management intervention by
children with ASD may be signicantly restricted due to factors uniquely
related to ASD [6]. ese factors broadly fall into two categories i.e.
those related to physical limitations such as impaired coordination
and those related to impaired social communication which throws up
barriers to participation in group exercises; during school recess and at
other times. Atypical physical activity among children and adolescents
with ASD has been suggested as an explanation for high obesity rates
in this population. Pan and Frey [17] examined the physical activity
patterns of youth with autism spectrum disorders using accelerometry
and data obtained by questionnaire; and found that older children
with ASD exercise less than their younger counterparts. Elementary
school youth were more active than their middle and high school peers
irrespective of day of the week or time of day. ey also didn't nd any
consistent patterns in physical activity in youth with ASD. However,
the quality of the data is limited by a small sample size (n=30), with
no sample size power calculations; a predominantly male cohort, no
comparison group of typically developing children and a selection of
high functioning children. ese all raise questions about the external
validity of their results.
Sandt and Frey [18] went further by comparing physical activity
levels between children with and without ASD. ey found that there
was no signicant dierence between the two groups and based on
their data concluded that school activities and unstructured aerschool
activities provide sucient opportunities for children with ASD
to be active. eir results are informative and attempt to answer the
important question of access to physical activity programs by children
with ASD. However, these ndings are also unlikely to be authoritative
or generalizable. A small convenience sample of volunteers was used
(n=15) and all the children were younger than 12 years. More work in
this area was done by Tyler et al. [19] who assessed physical tness and
physical activity in a group of young people with ASD and compared
them to children without a diagnosis of ASD (typically developing
peers). Although the sample sizes were small (n=17 in the ASD group,
n=12 in the non-ASD group) and selection was not randomized; case
ascertainment was relatively robust. e autism diagnostic observation
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Page 5 of 6
Volume 19 • Issue 5 • 1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
schedule (ADOS) was administered to conrm the diagnosis in
each participant of the case group. e two groups were signicantly
dissimilar in age (the ASD group was made up of mostly 15 year olds
and the control group were mostly 9 year olds). ey concluded that
children with ASD spent less time in light, moderate and moderate-
vigorous physical activity and more time in sedentary behaviour
compared to their typically developing peers. In spite of these slight
dierences the authors explain that aspects of physical tness are
attainable and comparable to peers without ASD.
ese ndings are broadly consistent with existing evidence
in this eld and further stress the point that children with ASD can
successfully participate in existing physical activity programmes. In a
bid to address the generalizability and small sample size limitations of
previous studies, Corvey et al. [20] studied the links between an ASD
diagnosis and four outcomes viz. obesity, overweight, physical activity
and sedentary behaviours in a large sample (n=1385) of American
children. e data was drawn from pre collected information in the
CDC's National Survey of Children's Health 2011-2012 which relied
solely on parental reports during a telephone survey. Parental responses
were dichotomized based on answers to two screening questions
related to physical activity and screen time which only explored activity
in the preceding week. In addition if a child had undertaken MVPA
(moderate to vigourous physical activity) for 20 minutes or more in
six but not seven days in the last week, the response was dichotomized
to zero. ey found no signicant association between ASD and a lack
of physical activity (though children who also had a learning disability
were found to have signicantly lower odds of engaging in physical
activity at recommended levels. ey also didn't nd any signicant
association between ASD and sedentary behaviour (2 or more hours
of screen time/day); however, the presence of intellectual disability
(which was ill dened by the authors) was associated with higher
odds. ere are limitations to the data as outlined in the prevalence
paragraph above but it is also important to note that the sample in this
study had a 73% comorbidity rate for learning disability and about a
quarter has 'intellectual disability'. Nonetheless, these results reect
reports from previous studies. In contrast, Pan et al. [21], demonstrated
that students with ASD were less physically active overall than their
typically developing peers. ey studied the daily physical activity and
proportion of time spent in MVPA in small convenience sample of 30
Taiwanese students aged 12-17 years with a diagnosis of ASD using
uniaxial accelerometry. e comparison group was age matched with
no diagnosis of ASD and there was no signicant dierence in weight
and BMI between the groups. ey found a signicant dierence in the
proportion of time spent in MVPSA activity and the percentage in each
group that were compliant with physical activity guidelines. e small
sample size and convenient sampling may make these ndings dicult
to replicate and indeed generalise.
Discussion
Compared to an obesity rate of 17% in typically developing children
from the CDC’s National Health and Nutrition Examination survey
(2011-2014); six of the nine studies included in this review reported
higher obesity rates among children with ASD. Of these six, three were
only marginally higher than the NHANES prevalence. e highest rate
of 30% was reported by Curtin et al. [8] Memari et al. [12] and Broder-
Fingert et al. [11] reported rates of 27.4% and 23.8% respectively. ere
are problems with the data as outlined above and one must question
the validity of these ndings. Most of these prevalence studies didn’t
report suciently robust case ascertainment procedures and there are
inconsistencies with what was included as ASD and what was not.
Establishing if obesity rates are inherently higher in ASD children
is an essential rst step in understanding whatever mechanisms
underlies this phenomenon. Unfortunately, the current evidence still
remains largely inconclusive. e studies reviewed in this article are
both inconsistent in their ndings and dierent in their methodology;
making meaningful comparisons across studies dicult.
e diagnostic criteria varied across studies and given that the
larger studies were based on secondary data analysis, utilizing data not
originally collected for the purpose of answering the research question
on obesity rates, problems with missing data and measurement bias
were evident. On the other hand the two studies reporting rates lower
than the NHANES rate, Curtin et al. [7] and Whiteley et al. [15] were
based on very small samples with no sample size power calculations.
e research base in this area is undoubtedly sparse and more robust
studies are required, preferably of a prospective nature to clarify these
ndings. Previous reviews have at the very least suggested that the rates
of obesity in children with ASD are at least as high as those found in
their neurotypical peers. Based on the data presented here we must now
consider that obesity rates in ASD children are indeed higher than in
typically developing children; and these children are at greater risk of
the mental and physical health consequences of obesity.
Possible explanations for these higher obesity rates in ASD
include 'food faddiness' (being exceptionally fussy about food) and
sensory diculties related to diet; increased calorie intake, sedentary
lifestyle (characterised by preoccupation with arm chair entertainment
technology i.e. games consoles, long hours watching television) and
lack of physical activity. It is essential to know if children with ASD can
take up physical activity programs as prescribed for typically developing
children and this has been the central theme of the very few studies
devoted to physical activity levels and patterns in ASD children. is
review included three studies. e physical activity recommendations
for children are an hour a day of moderate to vigorous activity (MVPA)
on all or most days and for adolescents, at least 20 minutes of MVPA
three or more times a week. e data suggests that most children
with ASD were capable of achieving these recommendations and no
signicant dierences in activity levels and patterns were found in ASD
children compared with children without ASD [18].
ere are reports that access to existing physical activities in school
or outside of school hours may be restricted for ASD children due to
social communication diculties. However, a descriptive report of a
small group of children with ASD by Schultheis et al. [22] based on
the TEACHH program demonstrates that with minor and inexpensive
modications, physical activity sessions can be successful in ASD
children and based on the evidence should be incorporated into
weight management programs targeted at ASD children. As would
be expected in the general population, age and gender showed the
strongest association with obesity in these review i.e. higher rates in
girls and older children. is reects a decrease in physical activity
from childhood into adolescent is reported. e association between
obesity and psychotropic medication i.e. atypical antipsychotics was
either not explored in the review papers or the number of children on
these medications was small. Memari et al. [12] for instance reported
only a weak positive correlation between antipsychotic treatment and
obesity; and that was only in boys (only 23 of 113 study participants were
girls). Antipsychotic medication is widely used in the management of
behavioural diculties in children with ASD and the obvious question
is 'are the apparent higher obesity prevalence rates in ASD children
independent of the contribution from antipsychotic use?' Findings from
this review suggest that antipsychotic medication further increases the
risk of obesity in ASD children over and above an existing risk. Corvey
Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
Page 6 of 6
Volume 19 • Issue 5 • 1000385
J Psychiatry, an open access journal
ISSN: 2378-5756
et al. [20] reported that the signicant association found between ASD
and obesity in their study disappeared when medication and ‘possible
secondary conditions were accounted for. But several studies in this
review reported higher obesity rates in ASD children were not on
antipsychotic medication.
Conclusion
e available evidence on the prevalence of obesity in paediatric
ASD is largely inconsistent; though recent studies appear to coalesce
around a similar prevalence. However, patterns and trends emerging
from the data, (more so recent studies) appear to support the assertion
that the odds of obesity may be slightly higher in children with ASD
compared to their typically developing peers. Single studies from non-
Western populations such as Iran and China also seem to support this
conclusion. Obesity prevalence is also directly related to age with higher
odds in older children. ASD is a pleomorphic disorder with signicant
comorbidity, making research in this area dicult. Several factors are
likely to contribute to the risk of weight gain in ASD children and more
robust research is required to elucidate these. e review ndings also
have some clinical utility, the risk of obesity increases with the advent
of adolescence and a corresponding decline in physical activities. is
transition requires targeted weight management interventions in this
population.
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Citation: Balogun F (2016) Prevalence and Correlates of Obesity in Childhood
Autism Spectrum Disorders: A Literature Review. J Psychiatry 19: 385.
doi:10.4172/2378-5756.1000385
... Dados da literatura demonstram que crianças e adolescentes com diagnóstico de TEA tendem a apresentar uma maior prevalência de sobrepeso e/ou obesidade, quando comparados aos seus pares com desenvolvimento típico (Balogun, 2016;Li et al., 2020;Zheng et al., 2017). Este fato suscita preocupações adicionais, visto que a adesão às intervenções para o controle do peso pode ser limitada pelas características centrais do TEA, além do fato que o sobrepeso e a obesidade podem comprometer a qualidade de vida e a aquisição de independência deste público (Balogun, 2016;Curtin et al., 2014). ...
... Dados da literatura demonstram que crianças e adolescentes com diagnóstico de TEA tendem a apresentar uma maior prevalência de sobrepeso e/ou obesidade, quando comparados aos seus pares com desenvolvimento típico (Balogun, 2016;Li et al., 2020;Zheng et al., 2017). Este fato suscita preocupações adicionais, visto que a adesão às intervenções para o controle do peso pode ser limitada pelas características centrais do TEA, além do fato que o sobrepeso e a obesidade podem comprometer a qualidade de vida e a aquisição de independência deste público (Balogun, 2016;Curtin et al., 2014). ...
... Apesar da grande variabilidade nas prevalências de excesso de peso encontradas nos estudos, aqueles que compararam a prevalência de excesso de peso entre com TEA e um grupo controle (Broder-Fingert et al., 2014;Corbett et al., 2021;Criado et al., 2018;Hill et al., 2015;Kummer et al., 2016;Levy et al., 2019;Raspini et al., 2021;Shedlock et al., 2016;Vanwong et al., 2020;Vinck-Baroody et al., 2015), observaram que as crianças e/ou adolescentes com diagnóstico de TEA apresentavam uma chance significativamente maior de sobrepeso e/ou obesidade do que aqueles sem TEA. Este resultado corrobora com o resultado de outros estudos, que observaram que crianças e adolescentes com TEA apresentam uma chance superior de estarem com sobrepeso e/ou obesas quando comparados aos seus pares com desenvolvimento típico (Balogun, 2016;Li et al., 2020;Zheng et al., 2017). Research, Society and Development, v. 11, n. 11, e345111133622, 2022 (CC BY 4. (2022) Research, Society and Development, v. 11, n. 11, e345111133622, 2022 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v11i11.33622 12 ...
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Objetivo: Realizar uma revisão da literatura e descrever os fatores associados ao excesso de peso em crianças e adolescentes com Transtorno do Espectro Autista (TEA). Metodologia: O estudo consiste em uma revisão integrativa, realizada por meio de pesquisa na base de dados MEDLINE/Pubmed. Foram incluídos artigos originais, não experimentais, com indivíduos de ambos os sexos com idade inferior a 20 anos e critérios diagnósticos descritos para TEA e excesso de peso, que tivessem dados de fatores associados ao excesso de peso na população com TEA e acesso online gratuito. Não houve restrição de idioma ou de ano de publicação. Resultados: Foram identificados inicialmente 486 artigos e após as exclusões, considerando os critérios de elegibilidade, totalizou-se 20 artigos incluídos nesta revisão. A prevalência de excesso de peso variou entre 27,5% e 63,8%. Dentre os fatores associados ao excesso de peso encontrados, destacaram-se: idade mais avançada da população pediátrica com TEA, raça negra, etnia hispânica/latina, menor escolaridade dos pais, índice de massa corporal familiar, elevado peso ao nascer, desordens genéticas, distúrbios do sono, transtornos afetivos, uso de medicamentos antipsicóticos e estabilizantes de humor, baixa habilidade adaptativa da vida diária, prejuízos na competência motora, seletividade, baixa recusa e/ou recompensa alimentar, maior número de refeições e baixo nível de atividade física. Conclusão: Foi elevada a frequência de excesso de peso na população pediátrica com TEA, tendo múltiplos fatores associados, sendo os principais aspectos relacionadas a fatores sociodemográficos, familiares, genéticos, clínicos, alimentares, comorbidades do TEA, medicamentos, nível de atividade física e características relacionadas ao TEA.
... Evidence on the association between sex and body weight status in children with ASD remains inconclusive. Some studies reported that being females were associated with a higher risk of obesity (Balogun, 2016;Kahathuduwa et al., 2019) whereas another study by Broder-Fingert et al. (2014) found that females had a lower odds ratio of developing obesity. There is male dominance (ratio of male to female 3.77:1) among the individuals diagnosed with ASD. ...
... Rights reserved. the decreased level of physical activity as the child grew into adolescence (Balogun, 2016;Evans et al., 2012), in which age might serve as a confounder (Memari et al., 2012). ...
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Atypical eating behaviors displayed by children with autism spectrum disorder (ASD) predispose them to unhealthy weight gain. We determined the factors associated with body weight status among 261 children with ASD (3–18 years) at nine autism intervention centers. Their mothers completed a self-administered questionnaire on sociodemographic background, parenting style, parental feeding practices, parenting stress, sleep habits, eating behaviors, and autism severity. Children with older age, non-full term gestational age, high maternal perceived weight, high maternal concern about child weight, and low pressure to eat were more likely to be overweight and obese. Obesity is a major concern among children with ASD. Healthy weight management programs for parents should incorporate appropriate feeding practices and a healthy perception of body weight.
... In this study the one sample t-test was used for the total calorie intake of children by their age group and analyzed whether they meet the requirement set by ICMR or not. [16][17][18][19] years was observed to be 2913.8 (SD 106.29) and 2099.5 (SD 121.53) ...
... Compared to an obesity rate of 17% in typically developing children from the CDC's National Health and Nutrition Examination survey (2011-2014); eight of the eleven studies included in this review reported higher obesity rates among children with ASD. The highest rate was 30% and the lowest was 10% [18]. ...
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Background and Objectives: Food selectivity is a common parental concern in childhood that can become problematic and lead to issues such as nutritional deficits that may impair growth and development. Considering the problem of food selectivity and meal time behaviors in the children with autism, this study was undertaken to assess their food selectivity, mealtime behavior problems, nutrient intake and weight status of children and adolescent with autism of Autism Care Nepal Society. Material and methods: This is a descriptive cross sectional study carried out in Autism children and adolescent aged 3-19 years in Autism Care Nepal Society. The sampling method was purposive sampling by total enumeration method. A pretested structured questionnaire was used to collect data using a face-to-face interview. Data were entered and analyzed in Microsoft Excel. Descriptive analysis was done to determine the socio-demographic characteristics. Chi-square test was done to determine the association of different independent variables with the BMI. Results: Out of 70 participants, 49 were male and 29 females. Among 70 participants, about 4% individuals were underweight, 39% normal and 57% were overweight or obese (≥85th percentile). Out of this 36% were obese (≥95th percentile). Out of 70 participants, 36 individuals (51.43%) were food selective while 34 individuals (48.57%) were not food selective that 51.43% of autism children and teenagers do not have problematic meal time behavior while 48.57% of them have problematic meal time behavior. Conclusion: There was no significant association between age, gender, family income, physical activity, food selectivity and mealtime behavior with BMI (p>0.05) among autistic children. However, food selectivity of the autistic participants showed a significant association with obesity. There was significant difference in mean calorie intake by all the age groups than the calorie set intake by Indian council of Medical Research (ICMR) as p-value was <0.05 in all age group.
... Children with ASD have more health problems, in particular higher rates of obesity and metabolic diseases [1]. Also, health conditions that are caused or exacerbated by obesity are inherent for them [2,3], for example, diabetes, high cholesterol level, and high blood pressure. They have a higher risk of comorbidities [4,5]. ...
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Background. Heeding the experience of existing research will allow designing future scientific research. This will increase physical activitу (PA), improve physical fitness, maintenance and improvement of health of children with autism spectrum disorders (ASD); assist implementation of inclusion in the educational institutions of the country. Purpose - to analyze the content of physical education programs used in attracting children with autism spectrum disorder to physical activity and to find out domains of indicators that should be investigated. Participants and setting. The analysis of scientific articles for 2000-2019 years was done, 48 publications were selected. Research design. A systematic search for scientific data was conducted, articles that were not related to physical activity were not taken into consideration. The search depth was 3 generations. Data collection. The search of documents was carried out in different databases using keywords «autism», «ASD», «physical activity», «fitness». Articles that studied the effect of different means (lesson programs) on the performance of children with ASD were chosen. More than 100 English-language papers for the last 20 years were analyzed. Data analysis. A content analysis of received data was conducted. The reliability of the differences between the frequency of study of aggregates of indicators was clarified using χ-test. Findings. Scientists, studying the impact of programs of PA on children with ASD, often focus on disruptive behavioral models (31%) of these children and on their indicators of physical fitness and motor skills (35%). Most studies analize the effects of a program using one type of PA. Conclusions. Among the existing research, there is a lack of multidimensional and multimodal programs that would combine effective means of PA. The frequency of communication and cognitive performance research (12% and 10% respectively) significantly (p
... There are a wide range of estimates for the prevalence of obesity in young people with ASD in different studies. Most of these estimates demonstrate a prevalence of obesity in this population that is equal to or greater than the equivalent general population [6,7]. A study demonstrated that parent-reported severity of autism correlated with an increase in the risk of obesity and a decrease in participation in physical activity [8]. ...
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Obesity is a significant problem in children and adolescents with autism spectrum disorder. Understanding that individuals with autism spectrum disorder may have different predisposing factors to weight gain compared to their neurotypical peers is important for those involved in their care and treatment. These factors include medication related weight gain, behaviour management using food to re-enforce positive behaviours, restrictive eating patterns and sensory processing differences. Effectively addressing weight gain in individuals with autism spectrum disorder requires a person specific approach and significant involvement of parents and carers. Parents, carers, and clinicians need to be willing to examine and potentially change their practice to overcome autism specific drivers of obesity.
... As the incidence of ASD increases, so does the interest in ways to improve the health and quality of life of these people. It is known that children and adults with ASD experience sleep problems (Miano, Ferri, 2010), have more frequent health problems (including immune conditions, gastrointestinal disorders and sleep, seizures, obesity, dyslipidemia, hypertension and diabetes, stroke and Parkinson's disease, anxiety, 29 hyperactivity, aggression and sensory impairment) (Zuckerman et al., 2014;Balogun, 2016), destructive behavior (stereotype, self-harm) (Smith & Matson, 2010). A combination of several diagnoses occurs in 83% of cases (Levy et al., 2010). ...
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Information on the correlation of physical fitness indicators to indicators of motivation for physical activity (PA) in schoolchildren with autism spectrum disorders (ASD) is very limited. The lack of such information makes it impossible to collect informative tests that best assess the level of РА literacy. It also hampers the effective identification of appropriate and effective means for the formation of РА literacy among schoolchildren with ASD. The study aims at comparing the levels of physical fitness and motivation for PA in children with ASD with their peers without disorders; determining the degree of correlation between physical fitness and motivation for physical activity in children with ASD. Data were collected from two Ukrainian samples: 18 children with ASD aged 11–13 years, and 30 children aged 11–12 years without ASD diagnosis. Results. Most of the correlation coefficients between the indices of physical fitness and motivation for РА in children with ASD (9/12) are reliable. This suggests that motivation to РА (defined by the CAPL-2 methodology) is an informative criterion of РА literacy of children with ASD. Significant correlations with motivation for РА in schoolchildren with ASD were observed in the results of two exercise tests.
... In addition to the core difficulties experienced by children with ASD, this is a population that often experiences a high prevalence of medical, psychiatric, and developmental comorbidities [4]. Moreover, individuals with ASD can experience several adverse physical health outcomes including an increased risk of being overweight or obese [5,6] along with an increased risk of all-cause mortality [7]. ...
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We have a limited understanding of the socioenvironmental factors associated with participation in physical activity among school-aged children with autism spectrum disorder (ASD), particularly regarding how the school environment may influence their participation. Using the International Classification of Functioning, Disability and Health (ICF) as a framework, this study examined the effect of body functions and structure, activity, and personal factors on in-school physical activity; and whether in-school physical activity, considered a socioenvironmental factor, is associated with out-of-school physical activity (i.e., participation) among elementary school-aged children (6–13 years of age) with ASD. Parents of 202 children with ASD (78.2% boys; Mage = 9.4 years) completed an online survey, as part of a larger study, to assess their child’s functioning and physical activity in- and out-of-school. Results indicated that the majority of children (85.1%) did not meet physical activity guidelines. In-school physical activities significantly predicted out-of-school physical activities including leisure-time moderate-to-vigorous physical activity (R2 = 0.27, F(10,154) = 5.67, p < 0.001) and meeting the physical activity guidelines (R2 = 0.23, 2 (10) = 31.9, p < 0.001). These findings underscore the importance of supporting children with ASD to be physically active in school, which may impact physical activity levels out-of-school.
... 3 However, a growing number of studies have shown that this population does not meet these daily recommendations for physical activity. [4][5][6] Given the known health benefits of routine physical activity (e.g., reduced cardiovascular disease risk factors, improved cardiorespiratory, musculoskeletal, metabolic health, and so on) 7 combined with the risks associated with sedentary behaviors (e.g., obesity, diabetes, and so on), 8,9 it seems incumbent on those who live and work with children with ASD to determine effective ways in which these daily recommendations can be met. To date, however, the effectiveness of different types of exercise and physical activity has not been well established in this population. ...
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Objective: We compare physical activity during bouts of sedentary videogaming (SVG), active videogaming (AVG), and paced walking in children with and without autism spectrum disorder (ASD) to determine the effectiveness of AVG in providing moderate-to-vigorous physical activity. Materials and method: Participants included nine males (8-11 years old) with ASD and eight age-matched males who were typically developing. Both groups had anthropometric and motor proficiency (Movement Assessment Battery for Children II) measures taken before testing. Participants attended three randomly assigned acquisition sessions: 20 minutes of paced walking at 4.5 metabolic equivalents, AVG, and SVG. Videogaming occurred on an Xbox(?) Kinect. An Actical accelerometer provided activity counts (AC) and percentage of time in moderate-to-vigorous physical activity (%MVPA). These were compared using 3???2 repeated measures analysis of variance for each measure. Results: Main effects for conditions existed for %MVPA (P?<?0.0001) and AC (P?<?0.0001). Post hoc Bonferroni comparisons indicated that AVG had significantly higher AC (P?<?0.001) and % MVPA (P?<?0.001) than SVG, but was significantly lower than paced walking (AC P?<?0.001; %MVPA P?<?0.01). Overall, participants spent 76.25% of their time in MVPA during AVG compared to 99.4% during paced walking and 2.31% in SVG. No main effects for groups or group by condition interaction effects were found for either measure. Conclusions: AVG may provide an appealing means by which all individuals can increase their overall physical activity levels, although AVG should not be seen as a replacement for walking or other forms of PA. Although further research is necessary, the finding that both groups performed similarly in AVG suggests that games can potentially be played without modifications or adaptations to gaming units, which may provide several advantages in terms of social/cost/ease of accessing unit.
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Physical activity (PA) benefits children with autism spectrum disorder (ASD). Evidence suggests that some barriers impede parents from providing PA support for their children with ASD. Parental perceived stigma is one of these barriers. However, few studies have explored how parental perceived stigma influences parental PA support. This study aimed to investigate the relationship between parental perceived stigma and parental PA support, the mediating role of parental self-efficacy, and the moderating effect of having other typically developing children or not. A total of 274 participants were recruited to participate in the study. The results showed that parental self-efficacy mediated the association between parental perceived stigma and parental PA support and the moderating effect of having other typically developing children or not.
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The purpose of this study was to assess the intensity of physical activity (PA) that secondary school-aged students with autism spectrum disorders (ASD) and typically developing (TD) students exert during a school day, and to compare the percentages of students achieving the recommended guidelines between groups. The PA of 60 male students (ASD, n = 30; TD, n = 30) was recorded every 10 s for up to 5 school days by performing uniaxial accelerometry. The main results are listed as follows: (a) daily PA was significantly lower among the students with ASD than among the TD students; (b) students with ASD spent significantly lower proportion of their time in moderate PA than TD students did during physical education (PE), recess, and lunchtime; and (c) fewer students with ASD than TD students achieved the PA guidelines during the school day and PE time. Schools should increase PA opportunities across the school day.
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To determine the prevalence of overweight/obese status in children with autism spectrum disorders (ASD), identify associated characteristics, and develop a model to predict weight status. The prevalence of overweight and obesity were determined in 2769 children with ASD enrolled in the Autism Speaks Autism Treatment Network, a collaboration of 17 academic centers, and compared with a national sample matched for age, sex, and race. Associations in the ASD sample between weight status and demographic and clinical variables, such as age, race, head circumference, and adaptive functioning, were tested using ordinal logistic regression. The accuracy of a final model that predicted weight status based on early life variables was evaluated in a validation sample. The prevalence of overweight and obesity were 33.9% and 18.2%, respectively; ASD was associated with a higher risk of obesity (but not overweight) relative to the national sample (odds ratio [OR], 1.16; 95% confidence interval [CI], 1.05-1.28; P = .003). In the adjusted analysis, overweight/obese status was significantly associated with Hispanic ethnicity (OR, 1.99; 95% CI, 1.37-2.89), parental high school education (OR, 1.56; 95% CI, 1.09-2.21), high birth weight (OR, 1.56; 95% CI, 1.11-2.18), macrocephaly (OR, 4.01; 95% CI, 2.96-5.43), and increased somatic symptoms (OR, 1.41; 95% CI, 1.01-1.95). A prediction model designed to have high sensitivity predicted low risk of overweight/obesity accurately, but had low positive predictive value. The prevalence of obesity in children with ASD was greater than a national sample. Independent associations with increased weight status included known risk factors and macrocephaly and increased level of somatic symptoms. A model based on early life variables accurately predicted low risk of overweight/obesity. Copyright © 2015 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
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BACKGROUND: Overweight and obesity are major pediatric public health problems in the United States; however, limited data exist on the prevalence and correlates of overnutrition in children with autism. METHODS: Through a large integrated health care system's patient database, we identified 6672 children ages 2 to 20 years with an assigned ICD-9 code of autism (299.0), Asperger syndrome (299.8), and control subjects from 2008 to 2011 who had at least 1 weight and height recorded in the same visit. We calculated age-adjusted, sex-adjusted body mass index and classified children as overweight (body mass index 85th to 95th percentile) or obese (>= 95th percentile). We used multinomial logistic regression to compare the odds of overweight and obesity between groups. We then used logistic regression to evaluate factors associated with overweight and obesity in children with autism, including demographic and clinical characteristics. RESULTS: Compared to control subjects, children with autism and Asperger syndrome had significantly higher odds of over-weight (odds ratio, 95% confidence interval: autism 2.24, 1.74-2.88; Asperger syndrome 1.49, 1.12-1.97) and obesity (autism 4.83, 3.85-6.06; Asperger syndrome 5.69, 4.50-7.21). Among children with autism, we found a higher odds of obesity in older children (aged 12-15 years 1.87, 1.33-2.63; aged 16-20 years 1.94, 1.39-2.71) compared to children aged 6 to 11 years. We also found higher odds of overweight and obesity in those with public insurance (overweight 1.54, 1.25-1.89; obese 1.16, 1.02-1.40) and with co-occurring sleep disorder (obese 1.23, 1.00-1.53). CONCLUSIONS: Children with autism and Asperger syndrome had significantly higher odds of overweight and obesity than control subjects. Older age, public insurance, and co-occurring sleep disorder were associated with overweight or obesity in this population.