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ORIGINAL ARTICLE
Comorbid ADHD and mental health disorders: are these childrenmore likely to develop reading disorders?
Florence Levy • Deidra J. Young • Kelly S. Bennett •
Neilson C. Martin • David A. Hay
Received: 11 April 2011 / Accepted: 20 September 2012 / Published online: 4 November 2012
� Springer-Verlag Wien 2012
Abstract While attention-deficit/hyperactivity disorder
(ADHD) has been associated with both internalizing and
externalizing childhood behaviour disorders, the specific
relationship of these comorbid disorders to ADHD and
reading problems is less well defined. The present study
analysed data from the Australian Twin ADHD Project,
which utilized DSM-IV-based ratings of ADHD, separation
anxiety disorder, generalized anxiety disorder, depression,
conduct disorder, and oppositional defiant disorder for twins
and siblings aged 6 to 18 years. While differences between
children with and without ADHD were demonstrated for
those with separation anxiety disorder, generalized anxiety
disorder, depression, conduct disorder, oppositional defiant
disorder and a reading disorder, for all age groups, regres-
sion analysis of ADHD diagnostic subtypes by age and
reading disorder showed that only generalized anxiety dis-
order remained significant after controlling for ADHD
subtypes. Analysis of the mean reading disorder scores in
children with and without ADHD showed that children with
conduct disorder had significantly more reading problems,
as did children with multiple comorbid disorders. In sum-
mary, both age and ADHD diagnosis were associated with
variations in these comorbid disorders, and multiple
comorbid disorders were associated with greater reading
impairment.
Keywords Reading disorder � Attention-deficit/
hyperactivity disorder � Comorbidity � Psychometrics �Genetics � Heritability
Introduction
The best available estimates of attention-deficit/hyper-
activity disorder (ADHD) prevalence are around 5.29 %
for children and adolescents and 4.4 % in adulthood
(Polanczyk et al. 2007; Polanczyk and Rohde 2007).
ADHD is highly comorbid with many mental health dis-
orders, including anxiety, and other disruptive behaviour
disorders. The rate of comorbid mental health disorders
amongst children with ADHD is reported to be over 80 %,
with reading disorder also commonly reported (Faraone
et al. 1998; Willcutt and Pennington 2000a, b). In an
Australian study, children with ADHD consistently dem-
onstrated more comorbid mental health disorders, indicat-
ing a strong relationship between high rates of
This paper is based on a poster by Professor Florence Levy and
colleagues presented at the 14th Scientific Meeting of the
International Society for Research in Child and Adolescent
Psychopathology, Seattle, Washington, 17–20 June 2009.
F. Levy
School of Psychiatry, Prince of Wales Hospital,
University of New South Wales, Sydney, Australia
F. Levy (&)
Child and Family East, Prince of Wales Hospital,
Randwick, NSW 2031, Australia
e-mail: [email protected]
D. J. Young � K. S. Bennett
School of Psychiatry and Clinical Neurosciences,
University of Western Australia, Perth, WA, Australia
D. J. Young (&)
Western Australian Centre for Mental Health Policy Research,
Graylands Hospital, Brockway Road, Mount Claremont,
WA 6010, Australia
e-mail: [email protected]
N. C. Martin � D. A. Hay
School of Psychology and Speech Pathology,
Curtin University of Technology, Perth, WA, Australia
123
ADHD Atten Def Hyp Disord (2013) 5:21–28
DOI 10.1007/s12402-012-0093-3
externalizing and internalizing symptoms (Levy et al.
2005). In the Colorado Longitudinal Twin Study of
Reading Disability, twins with a history of reading disorder
were reported to have deficits on school achievement, when
compared with the control twins (monozygous and dizy-
gous), leaving open the question of the relationship
between reading and comorbid mental health disorders
(Wadsworth et al. 2007).
The comorbidity of disruptive behaviour disorders with
ADHD has been reported to be 35 % for oppositional defiant
disorder (ODD) and 30–50 % for conduct disorder (CD)
(Biederman et al. 1991). In genetic analyses of these three
disorders, the genetic correlations were found to be very high
(rADHD�ODD = 0.73; rADHD�CD = 0.82; rODD�CD = 0.79),
suggesting that there are a common set of genes influencing
the three disruptive behaviours (Waldman et al. 2001).
Willcutt et al. (2000) demonstrated that children with
reading disorder are more likely, than those without, to
meet criteria for ADHD, and this association is stronger for
symptoms of inattention, than symptoms of hyperactivity
and impulsivity. Further, Willcutt and Pennington (2000a,
b) reported, in a study of comorbid mental health disorders
and reading disabilities, that individuals with reading dis-
order exhibited significantly higher rates of internalizing
and externalizing disorders, than those without reading
disorder. There appeared to be no significant gender dif-
ferences in comorbidity (Levy et al. 2005).
Previous studies have reported an association between
reading achievement and antisocial behaviour, but as yet
causation has not been fully explained. This association
was investigated in the UK using the Environmental Risk
Longitudinal Twin Study and appeared to result from
environmental factors common to both reading disorder
and antisocial behaviour and was stronger in boys (Trzes-
niewski et al. 2006). Environmental factors were also
suggested as influencing the relation between reading dis-
order and conduct disorder. Leading candidate environ-
mental risk factors weakly mediated the association. For
boys, the best explanation was a reciprocal causation
model: poor reading led to antisocial behaviour, and vice
versa. In contrast, the relation between reading achieve-
ment and attention-deficit hyperactivity disorder was best
explained by common genetic influences (Martin et al.
2006).
The possibility that reading problems are comorbid with
a number of mental health disorders, in addition to ADHD,
was first suggested by Cantwell and Baker (1991), and
more recently investigated by Martin et al. (2009). It is not
clear whether reading disorder is an outcome or an etio-
logical factor in relation to other mental health disorders.
An understanding of processes involved in optimal reading
development should provide further insights into comor-
bidity with other mental health disorders.
According to Shaywitz and Shaywitz (2008), the pos-
terior parietal cortex plays an important role in attention,
presumably via connections between the posterior parietal
cortex and PFC. The authors describe studies which indi-
cated that children with dyslexia exhibited reduced acti-
vation in a left hemisphere network, involving the inferior
parietal lobule. Nakamura postulated that attentional sys-
tems in the PFC activate the more dorsal system, because
brain activation triggered by conscious perception of word-
like stimuli should be subject to top–down attentional
amplification by the prefrontal cortex, providing a distrib-
uted activation of the fronto-temporal-parietal network
(Swanson et al. 1998).
Dehaene (1998) points out that the visual cortex is divi-
ded into two functional streams—a ventral pathway which
focuses on invariant object recognition (identity, shape and
colour), and a second visual pathway, the dorsal route
through the parietal cortex, which is primarily concerned
with space and action (Goodale and Milner 1992).
According to Dehaene, patients with ‘mirror blindness’ do
not see any difference between mirror shapes. Dehaene
suggests that, in the early stages of reading, we initially need
our dorsal system to distinguish letters such as ‘‘b’’ and ‘‘d’’.
Progressively, the ventral system learns to break with
symmetry and perceive asymmetry and consider ‘‘b’’ and
‘‘d’’ as two views of the same object. Ultimately, it assigns
them distinct neural populations that cease to generalize
across mirror reversals. In this way, the occipito-temporal
cortex acquires an asymmetrical neuronal hierarchy for
visual word recognition. Unlike its neighbouring cortical
regions for object or face recognition, which continue to
generalize over left–right changes, our reading architecture
ceases to confuse mirror images (Cantwell 1998).
Thus, according to Dehaene (1998), good decoding skills
do not arise from associations between letters and speech
sounds alone—letters must also be perceived in their proper
orientation, at the appropriate spatial location, and in their
correct left–right order. According to Dehaene, this inte-
gration is limited prior to the full development of the pre-
frontal and occipito-temporal cortex. Thus, the development
of reading capacity may be fundamentally linked to the
development of wider prefrontal capacity and behaviour.
The present study investigated the hypothesis that
reading problems are likely to be associated with symp-
toms of behaviour disorder that may also relate to pre-
frontal maturation problems. Also, more severe reading
delays may be associated with multiple behavioural sym-
ptomatologies, reflecting underlying developmental delays.
Specific aims/hypotheses of the present study were:
1. Children with ADHD symptoms are more likely to
have a reading disorder, when compared with children
without ADHD;
22 F. Levy et al.
123
2. Children with symptoms of ADHD and one mental
health disorder are more likely to have a reading
disorder, when compared with children without a
mental health disorder;
3. Children with ADHD and symptoms of multiple
comorbid mental health disorders (two or more) are
more likely to have a reading disorder, when compared
with children without such comorbidity.
Methods
The Australian Twin ADHD study sample
The Australian Twin ADHD Study commenced in 1991.
One of the aims of this study was to follow a group of twins
and their siblings in order to describe the developmental
pattern of ADHD.
There have been four phases of data collection as
detailed in Bennett et al. (2006). In each of the data col-
lection phases, parents completed a questionnaire about
their twins and similar aged siblings, using the Twin and
Sibling Questionnaire (Hay and Levy 1999; Levy and Hay
1991). This questionnaire covers areas including develop-
ment, behaviour, and education. Phase 4 commenced in
2004, with the Twin and Sibling Questionnaire data col-
lected from parents of twin children families throughout
Australia. This phase of the data collection continued
through to 2007, resulting in 3,060 twin families partici-
pating in this phase of the study. Some families had just the
twins in the study and some had up to two siblings par-
ticipating in addition to the twins. The 3,060 families
participating in this study consisted of 5,303 twins and
1,855 siblings (n = 7,158).
A mail-out questionnaire included parental ratings of
ADHD (DSM-IV), as well as DSM-IV-based measures of
separation anxiety disorder, generalized anxiety disorder,
depression, conduct disorder, and oppositional defiant
disorder for twins and their siblings aged 6–18 years.
Reading difficulties were rated on a parental questionnaire
developed by Willcutt and Pennington (2000a, b). There
are no children under the age of 6 in this study.
ADHD
In the present study, ADHD was measured using a DSM-
IV-based parent rating of ADHD symptoms, the Australian
Twin Behaviour Rating Scale. This scale consisted of 18
items derived from the DSM-IV in wording (American
Psychiatric Association, 2000). These items consisted of
nine inattentive and nine hyperactive/impulsive measures.
The DSM-IV ADHD items were rated on a response set: not
at all [0], just a little [1], often [2], and very often [3]. These
items were recoded into a binary measure: (0, 1 = 0) and
(2, 3 = 1). According to the DSM-IV, a diagnosis of Inat-
tentive ADHD requires at least six out of the nine inattentive
symptoms to be coded 1, while a diagnosis of Hyperactive/
Impulsive ADHD requires at least six out of the nine
hyperactive symptoms to be coded 1. Where a person or
child has at least six inattentive and six hyperactive symp-
toms, this subtype was categorized as combined ADHD.
The variable ADHD consisted of the four categories: inat-
tentive ADHD, hyperactive/impulsive ADHD, combined
ADHD and no ADHD. The questionnaire was a parent
reported rating scale and did not include age of onset of
ADHD symptoms, so that definitive ADHD diagnoses, as
distinct from ADHD symptomatology, could not be made.
Reading disorder
Five mental health disorder symptomatologies, comorbid
with ADHD, were compared for reading problems using
mixed multilevel analyses. Reading was measured using a
scale of six items developed by Willcutt and colleagues
(personal communication) and now described in the first
6 items of Table 2 in Willcutt et al. (2011) for the Colorado
Longitudinal Twin Study of reading disorder. This reading
scale forms part of the Colorado Learning Difficulties
Questionnaire (CLDQ) and scores on this scale range from
0, ‘‘not at all/never’’ to 3 ‘‘very much/very often’’. The
CLDQ Reading Difficulty scale has been reported by
Willcutt and colleagues to be highly correlated with the
Peabody Individual Achievement Test (PIAT). In their
study, the CLDQ Reading Difficulty scale demonstrated
high validity and reliability. Before the CLDQ Reading
Difficulty scale was analysed, all measures were trans-
formed so that a positive correlation (Pearson correlation
coefficient) indicated a significant relationship between
higher ratings on the CLDQ Reading Difficulty scale and
more severe difficulties on the PIAT reading measure,
regardless of the original scaling of the measure. The
strong correlation with the Peabody Individual Achieve-
ment Tests for Reading (r[re] = 0.64; CI = 0.60, 0.68;
p \ 0.001) was also confirmed by the effect size for 945
cases diagnosed with reading disorder (d[re] = 1.81;
CI = 1.42, 2.20; p \ 0.001) (Willcutt et al. 2011). The
questionnaire was normed on an American population
(Colorado) and has demonstrated high reliability and
validity in other studies as well (Martin et al. 2006).
This scale consists of the following items:
1. Does this child have difficulty with spelling?
2. Did this child have difficulty learning letter names?
3. Did this child have difficulty learning phonics (sound-
ing out words)?
Comorbid ADHD and mental health disorders 23
123
4. Does this child read more slowly than other children of
the same age?
5. Does this child read below grade or expectancy level?
6. Has this child required extra help in school because of
problems in reading or spelling?
The response set for reading disorder items was: not at
all [0], just a little [1], often [2], and very often [3]. Each
item was rescored into a binary measure: (0, 1 = 0) and
(2, 3 = 1). The variable Read was prepared from the six
binary items and ranged from 0 to 1. The mean score for
the whole population was 0.09 with a 95 % CI of [0, 0.32].
Mental health problems
For disorder-related symptomatologies, the authors dis-
cussed and agreed on those symptoms in the questionnaire
which best approximated the DSM-IV wording and total
number of symptoms to achieve the best approximation to
the DSM-IV criteria. The questionnaire included DSM-IV
based diagnostic measures of the following childhood
mental health disorders: Separation Anxiety, generalized
anxiety disorder, conduct disorder, oppositional defiant
disorder and depression. For example, at least four out of
eight symptoms were required for a diagnosis of opposi-
tional defiant disorder (American Psychiatric Association
2000). The response scale for these items was the same as
for reading disorder: not at all [0], just a little [1], often [2],
and very often [3], with each item rescored into a binary
measure of 0 or 1.
Data analysis
Of particular interest to this study is the comorbidity of
reading problems and the DSM-IV-based mental health
symptoms. With the children grouped within families, the
mixed models method was used in order to account for the
family group effects. There were 7,089 children and 2,702
families, with an average of 2.6 children per family. Mixed
models are characterized as containing both fixed and
random effects. The fixed effects are analogous to standard
regression coefficients and are estimated directly. The
random effects were not directly estimated, but were
summarized according to their estimated variances and
covariances. Random effects in this analysis were the
random intercepts, and the grouping structure of the data
consisted of family groups. The error distribution of the
linear mixed model was assumed to be Gaussian. In these
analyses, the dependent variable was the composite mea-
sure Reading Disorder (Read), with the estimate allowed to
vary between families. The children were classified as
being a twin or sibling and this variable (twin) was inclu-
ded in all analyses in order to account for possible
differences in reading disorder between the two types of
children. The other explanatory variables included the
categorical variables: age group (agegp) and ADHD sub-
type (ADHD); and the dichotomous variables: depression
(DXDE), separation anxiety (DXSA), generalized anxiety
disorder (DXGAD), conduct disorder (DXCD) and oppo-
sitional defiant disorder (DXODD).
The procedure xtmixed from Stata for this type of esti-
mation (Stata 2007) was next applied. This procedure, a
linear mixed models method, accounted for the variability
between families (ID), while estimating the reading dis-
abilities of the children (Read). With most explanatory
variables in this study being categorical, the xi technique
was used to compare categories within each variable (e.g.,
i.twin allowed comparison of twins’ and siblings’ reading
disabilities). Each variable had a baseline category for
comparative purposes. For example, the variable ADHD
had the baseline set at the category non-ADHD cases.
Using the post-estimation procedure, adjust, the linear
predictions of xb were then estimated for each categorical
variable, along with standard errors and the 95 % CIs.
Finally, reading disorders were estimated for pairs of
comorbid mental health disorders.
Results
The prevalence of ADHD in this cohort when using DSM-
IV criteria was found to be: 5.49 % ADHD, 3.26 % inat-
tentive, 0.85 % hyperactive and 1.38 % combined
(Table 1). Higher mean scores for reading problems were
found for those cases with ADHD, particularly the com-
bined and/or inattentive subtypes, which were four times
higher than the average reading disorder for all cases. This
was consistent for the DSM-IV diagnoses of ADHD and
further analyses were carried out using DSM-IV diagnoses.
For each of the six mental health symptomatologies
investigated in this paper, all cases had significantly higher
reading disorder mean scores (l = 0.22–0.53), compared
with those without a mental health disorder (l = 0.09)
(Table 2). Specifically, those who had ADHD and one
other mental health problem were even more likely to have
a reading problem. For example, a child with ‘depression’
had a mean reading problem score of 0.38, while a child
with both ‘depression’ and ‘ADHD’ had a mean reading
problem score of 0.61. The following analyses incorporated
both the twin effect and the family grouping effect.
Mixed multilevel analyses for reading problems
revealed firstly that twins were more likely to have reading
problems, when compared to siblings (b = 0.122; 95 % CI
[0.114, 0.129]) (Table 3). With few age-related differ-
ences, there was only a small effect for 15–18-year-old
24 F. Levy et al.
123
children (b = 0.095; 95 % CI [0.082, 0.109]). They
showed less reading problems than the youngest age group.
There were significant differences in mean reading
problem scores for those with inattentive (b = 0.415; 95 %
CI [0.383, 0.445]) and combined ADHD (b = 0.505; 95 %
CI [0.455, 0.552]), compared with children without ADHD
(Table 3). This effect was true for twins, DZ twins, MZ
twins and siblings, whether or not the child was a twin.
Further, children with generalized anxiety disorder symp-
toms were more likely to have a higher mean reading
problem score, irrespective of whether they were a twin or
not. Similarly, children with conduct disorder or opposi-
tional defiant disorder symptoms were more likely to have
a high reading problem score (l[ 0.5).
Finally, the reading problem mean score (l) was
investigated for children with symptoms of more than one
comorbid mental health disorder. For this test, the age
group 6–9 years was excluded to allow for normal varia-
tions and schooling, in the development reading skills. The
highest reading problem scores were found for children
with inattentive ADHD symptoms and/or combined ADHD
symptoms (Table 4). When inattentive ADHD symptoms
were comorbid with depression (l = 0.60), separation
anxiety (l = 0.61) or generalized anxiety disorder symp-
toms (l = 0.63), those children were significantly more
likely to have higher reading disorder scores. Similarly,
when combined ADHD subtype symptoms are comorbid
with depression (l = 0.65), separation anxiety (l = 0.63)
or generalized anxiety disorder symptoms (l = 0.57),
reading problem scores were high. Finally, conduct disor-
der and Inattentive or combined ADHD subtypes showed
significantly high reading problem scores.
Table 1 Prevalence of ADHD by sub-type, gender
Gender ADHD sub-type (%) Non-ADHD
n = 6,314Inattentive
n = 233
Hyperactive
n = 61
Combined
n = 99
Total ADHD
n = 393
Males 4.65 1.09 2.15 7.89 92.11
Females 1.78 0.60 0.57 2.96 97.04
Total 3.26 0.85 1.38 5.49 94.51
Reading disorder (l) 0.43 0.20 0.53 0.42 0.10
Table 2 Mean reading disorder score by mental health disorder (MHD) symptoms
Mental health disorder (MHD) symptoms n % of Total % of MHD Mean reading
difficulty l (SD)
Depression 46 0.64 5.94 0.38 (0.43)
Separation anxiety 226 3.16 29.16 0.22 (0.36)
Generalized anxiety disorder 87 1.22 11.23 0.36 (0.40)
Conduct disorder 103 1.44 13.29 0.29 (0.36)
Oppositional defiant disorder 324 4.53 41.81 0.28 (0.38)
Total ADHD (DSM-IV) 393 5.49 50.71 0.42 (0.41)
Inattentive ADHD 233 3.26 30.06 0.44 (0.41)
Hyperactive ADHD 61 0.85 7.87 0.20 (0.31)
Combined ADHD 99 1.38 12.77 0.53 (0.42)
One mental health disorder and reading 775 10.83 100.00 0.29 (0.38)
ADHD and depression 27 0.38 3.48 0.61 (0.42)
ADHD and separation anxiety 51 0.71 6.58 0.49 (0.45)
ADHD and generalized anxiety disorder 30 0.42 3.87 0.56 (0.44)
ADHD and conduct disorder 59 0.82 7.61 0.38 (0.39)
ADHD and oppositional defiant disorder 139 1.94 17.94 0.44 (0.43)
ADHD and one mental health disorder 176 2.46 22.71 0.46 (0.43)
ADHD and any two mental health disorders 86 1.20 11.10 0.49 (0.43)
No. of mental health disorders 6,314 88.21 0.09 (0.23)
Total cases 7,158 100.00 0.12 (0.26)
Comorbid ADHD and mental health disorders 25
123
When two or more non-ADHD comorbid symptom
problems were investigated, high mean reading problem
scores were seen for: depression and Separation Anxiety
(l = 0.31), generalized anxiety disorder (l = 0.38), con-
duct disorder (l = 0.54) or oppositional defiant disorder
symptoms (l = 0.42), with high mean reading problem
scores. Similarly for Separation Anxiety and generalized
anxiety disorder (l = 0.31), conduct disorder (l = 0.39)
or oppositional defiant disorder symptoms (l = 0.34),
reading problem scores were high. Where generalized
anxiety disorder symptoms were comorbid with conduct
disorder (l = 0.44) or oppositional defiant disorder
symptoms (l = 0.36), reading problem scores were also
high, as were conduct disorder and oppositional defiant
disorder symptoms (l = 0.30).
The total population of twins and siblings had a very low
reading problem scores (l = 0.12). Where there were no
measureable mental health disorders symptoms, the read-
ing disorder score was even lower (l = 0.09).
Discussion
The present findings replicate the Willcutt findings of an
increased association of reading problems with Inattentive
ADHD symptoms. The above association of reading dis-
order, with ADHD and two or more mental health disorders
could indicate that either ADHD or reading disorder is the
primary deficit or that comorbidities reflect associated
stages of development. The significance of multiple
Table 3 Mixed multilevel analyses for reading disorder
Reading disorder predictor variables Predicted coefficient Standard error 95 % CI
Twins and
siblings
Twins
only
MZ twins
only
DZ twins
only
Lower
boundary
Upper
boundary
Twins/siblings 0.122*** – – – 0.004 0.114 0.129
Age group
6–8 years 0.123 0.119 0.107 0.128 0.008 0.106 0.136
9–11 years 0.134 0.140 0.125 0.148 0.006 0.121 0.145
12–14 years 0.109 0.115 0.118 0.114 0.006 0.097 0.119
15–18 years 0.095* 0.107 0.088 0.120 0.007 0.082 0.109
ADHD
None 0.098 0.104 0.098 0.110 0.004 0.091 0.105
Inattentive 0.415*** 0.415*** 0.406*** 0.453*** 0.016 0.383 0.445
Hyperactive/impulsive 0.177 0.170 0.257*** 0.160 0.031 0.112 0.232
Combined 0.505*** 0.527*** 0.395*** 0.525*** 0.025 0.455 0.552
Depression 0.329 0.380 0.345 0.355 0.004 0.106 0.120
Separation anxiety 0.222* 0.228 0.206 0.263* 0.017 0.189 0.255
Generalized anxiety disorder 0.313*** 0.361*** 0.336*** 0.390*** 0.008 0.206 0.237
Conduct disorder 0.261* 0.353 0.266 0.366 0.009 0.267 0.301
Oppositional defiant disorder 0.262** 0.286* 0.199 0.295 0.006 0.216 0.242
*** p \ 0.001; ** p \ 0.01; * p \ 0.05
Table 4 Mean reading disorder scores by two comorbid mental health disorders
Mental health disorder symptoms
(age range 9–18 years)
Comorbid mental health disorder symptoms and reading disorder symptoms
ADHD—
inattentive
ADHD—
hyperactive
ADHD—
combined
Depression SA GAD CD ODD
Depression 0.58 – 0.65 –
Separation anxiety 0.61** – 0.57 0.32 –
Generalized anxiety disorder 0.62** 0.11 0.60 0.36 0.32* –
Conduct disorder 0.34 – 0.50 0.54* 0.34 0.44 –
Oppositional defiant disorder 0.47 0.19 0.53 0.41 0.33** 0.35 0.29 –
*** p \ 0.001; ** p \ 0.01; * p \ 0.05: significant differences between MHD and not MHD (row) for each condition (column)
26 F. Levy et al.
123
comorbidities has had limited investigation. Willcutt and
Pennington (2000b) found that children with reading dis-
abilities were more likely to have elevated internalizing
symptoms. Similarly, the present study found that reading
problem scores were higher for children with both ADHD
and depression or anxiety disorder symptoms and has
extended this finding in relation to combinations of two or
more comorbid symptomatologies. As the degree of
comorbid symptomatologies increases, reading problems
appear to be more severe, but the etiological direction of
this association is unclear.
Levy (2010) has discussed the ‘paradox’ of comorbid
internalizing and externalizing behavioural phenotypes in
terms of excess communication between subcortical cir-
cuits, possibly as a result of insufficient cortical inhibition,
as well as excessive reliance on stimulus-based subcortical
systems. A neuroanatomical understanding of reciprocal
and non-reciprocal connections between modular circuits
have provided a basis for understanding previously puz-
zling aspects of comorbidity between internalizing and
externalizing childhood syndromes, previously regarded as
orthogonal. The present study suggests that the develop-
ment of reading skills is fundamentally associated with the
maturation of cortical/subcortical neural circuits involved
in the control or modulation of behaviour.
Advances in functional brain magnetic resonance
imaging has provided greater understanding of the neural
mechanisms involved in reading and how these differ in
children with reading disabilities (Shaywitz and Shaywitz
2008). Recent findings demonstrate that dual cognitive
processes are involved in reading, including attentional
mechanisms. Disruption of these attentional mechanisms is
thought to play a causal role in reading difficulties. Pre-
liminary studies have suggested that stimulants tradition-
ally used to treat ADHD may prove to be beneficial for
improving reading in children with reading disorder
(Grizenko et al. 2006; Keulers et al. 2007; Richardson et al.
1988). This may be due to the medications easing symp-
toms of inattention, which then facilitates the child’s ability
to read.
According to Shaywitz and Shaywitz (2008) within a
dual route model, the critical process of phonological
recoding (translating letters to sound) can occur via two
different mechanisms: a lexical mechanism that addresses
the phonological code directly from the stored lexical
representations, and a sublexical mechanism, that assem-
bles the phonological code serially letter by letter. The
authors discuss recent evidence suggesting that attention is
necessary for the computation of phonology, resulting in
reading the word aloud. They suggest that further consid-
eration of the role of attentional mechanisms in support of
reading is necessary. The present data raise the further
question of association of reading with both internalizing
and externalizing comorbid disorders, suggesting that
reading disorder may be marker for a number of develop-
mental problems.
Clinical implications
The study suggests that where multiple comorbidities are
present, particularly with ADHD, clinical attention should
be paid to the presence of reading disorder. Not only should
clinicians be aware of the possible presence of reading
problems, but also that the problem may be more severe as
the amount of comorbid symptomatologies increases.
Concurrent treatment of both the ADHD and the reading
disorder could have beneficial effects for both these dis-
orders, as well as other comorbidities, suggesting that a
multi-disciplinary team is needed to address these issues, in
such children.
Limitations of the current study
This study is based upon a large cohort of mainly twins
with some singletons (siblings). The findings are therefore
limited to the extent that the cohort may not be represen-
tative of a large population of singletons. Further, there
were no younger children in this study to report on, so the
conclusions are limited in applicability to those aged
6–18 years. While the epidemiology of reading disorder
and ADHD is reported in many twin and singleton studies,
the developmental relationship between reading disorder
and other mental health disorders is currently not well
understood, but important for an understanding of comor-
bidity in children.
Acknowledgments The Australian Twin ADHD Study was sup-
ported by a project grant (ID 479217) from the Australian National
Health and Medical Research Council. This research was facilitated
with access to the Australian Twin Registry, an Australian national
research resource supported by an Australian National Health and
Medical Research Council Enabling Grant (ID 310667) from the
Australian National Health and Medical Research Council and
administered by The University of Melbourne, Victoria, Australia.
The support of the Western Australian Child Health Twin survey in
recruiting new twin families to this study is also gratefully
acknowledged. We would also like to thank the many families who
continue to support the Australian Twin ADHD Study.
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