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Motor problems in children with severe emotional and behavioural difficulties
Bronagh Taylor1, Donncha Hanna1, and Martin McPhillips2
1 Queen’s University, Belfast2 Edge Hill University
Corresponding author:
Dr Martin McPhillips, Department of Psychology, Edge Hill University, Ormskirk, Lancashire, England, L39 4QP; Email: [email protected]
Abstract
Background
There is growing evidence that children with motor difficulties are at risk of psychosocial
problems, and vice versa. However, it is not clear how far different aspects of motor function
are predictive of psychosocial well-being in the context of other powerful factors, such as
family-upset, that are known to affect psychosocial development.
Aims
To investigate the role of basic motor skills and primary reflex persistence in young children
with severe emotional and behavioural difficulties (EBD).
Sample
From a total sample of 225 children, 3 groups were selected; children excluded from school
(severe EBD) (n=29), a male comparison group (n=38) and a female comparison group
(n=45). The groups were matched (at group level) on age, IQ and level of social
disadvantage.
Method
All of the selected children completed a range of standardised motor, cognitive, social and
behavioural measures, as well as a clinical protocol for primary reflex persistence.
Results
Children with severe EBD had significant levels of motor difficulties, primary reflex
persistence and family-upset, as well as significant literacy problems, attention deficits and
raised levels of hyperactivity/impulsivity relative to the comparison groups. A hierarchical
multiple regression analysis revealed that basic motor skills, primary reflex persistence,
family-upset, hyperactivity and literacy were all significant predictors of psychosocial
functioning.
Conclusions
The findings suggest that motor difficulties and primary reflex persistence may act as
independent stressors of psychosocial functioning in children with EBD. We suggest that
specific movement interventions should be adopted to complement existing provision for
children at risk of psychosocial problems.
Keywords: motor difficulties; emotional problems; psychosocial functioning; behavioural
difficulties
Emotional and behavioural difficulties (EBD) is an umbrella term that is commonly
used to describe children with a complex range of psychosocial problems, disruptive
behaviours, and mental health issues. Problems with definition persist across
different educational systems (e.g., Mundschenk & Simpson, 2014), and this has
affected identification and prevalence estimates of EBD. In the UK, recent figures
show that 4.3% of the total school population (1.2% of primary school aged children)
received a fixed period exclusion from mainstream schooling, predominantly for
behavioural problems, indicating severe EBD (Department for Education, 2017). This
is of major concern as the long-term outcomes for children with severe EBD may be
particularly negative (e.g., Siperstein, Wiley, & Forness, 2011).
Children with EBD are at increased risk of co-occurring difficulties that lead to vicious
cycles where the emotional and behavioural difficulties of the child exacerbate or
compound other problems, and vice versa. For example, children with EBD are likely
to experience academic difficulties (e.g., Reid, Gonzalez, Nordness, & Epstein,
2004; Trout, Nordness, Pierce, & Epstein, 2003). This is unsurprising as early
behavioural regulation skills predict preschool literacy, vocabulary and maths skills
and readiness to learn (e.g., Blair & Raver, 2015; McClelland et al., 2007; Razza,
Martin, & Brooks-Gunn, 2012), while literacy difficulties are associated with an
increased risk of psychiatric disorders in children and young adolescents (e.g.,
Carroll, Maughan, Goodman, & Meltzer, 2005).
Recently, a growing body of research has suggested that motor function and
emotional and behavioural difficulties may be associated (e.g., Piek & Rigoli, 2015).
A number of studies have shown that children with developmental coordination
disorder (DCD) may be at risk of internalising problems, such as anxiety and
depression (e.g., Lingam et al., 2012), and externalising behaviours, such as
attention-deficit/hyperactivity disorder (ADHD) (e.g., Kaiser, Schoemaker, Albaret, &
Geuze, 2015).
The ‘elaborated environmental stress hypothesis’ (Cairney, Rigoli, & Piek, 2013), has
been proposed, where it is suggested that motor difficulties act as a primary stressor
on the psychosocial wellbeing of the child. For example, in an observational study of
social and physical play in school playgrounds, involving 55 children with DCD and
55 controls (all aged 6- to 10-years-old), it was found that the children with DCD
spent more time alone or with one other child (Smyth & Anderson, 2000). Further, it
has been shown that, in children with motor difficulties, peer problems may mediate
the risk of behavioural difficulties (Wagner, Bös, Jascenoka, Jekauc, & Petermann,
2012) and internalising problems (Mancini, Rigoli, Roberts, Heritage & Piek, 2018).
In other words, the presence of motor difficulties may act as a primary stressor that
reduces the potential protective factors available to the child, such as positive peer
relations, with subsequent risk of mental health issues.
Conversely, other studies have shown that children with a primary mental health
diagnosis or concern are at risk of experiencing significant levels of motor difficulty
(e.g., Ekornås, Lundervold, Tjus, & Heimann, 2010; Skirbekk, Hansen, Oerbeck,
Wentzel-Larsen, & Kristensen, 2012). This suggests that the relationship between
motor difficulties and psychosocial functioning may reflect complex, bi-directional
processes. In addition, motor difficulties commonly co-occur across a range of
developmental disorders and pathological conditions, including disruptive behaviours
(e.g., Van Damme, Sabbe, van West, & Simons, 2015), and it has been suggested
that motor difficulties may reflect underlying, neurological vulnerability (Dewey &
Bernier, 2016; Gillberg, 2010; Levit-Binun, Davidovitch & Golland, 2013). From this
perspective, factors that compromise early brain development may increase the risk
of motor and psychosocial difficulties, separately or in combination.
Measures of income inequality (such as relative poverty, low socioeconomic status
(SES) and social disadvantage) are strongly associated with a range of suboptimal
neurocognitive, health, economic, educational and socioemotional outcomes (e.g.,
Bradley & Corwyn 2002; Evans, 2016; Farah et al., 2006; Wadsworth & Achenbach,
2005), including literacy problems (e.g., Buckingham, Bearman, & Wheldall, 2014;
Dilnot, Hamilton, Maughan, & Snowling, 2017), motor difficulties (McPhillips &
Jordan-Black, 2007a) and ADHD (Russell, Ford, Rosenberg, & Kelly, 2014). Further,
the negative effects of clusters of adverse childhood experiences (ACEs) on later,
adult health and psychosocial outcomes (e.g., Boullier & Blair, 2018) has become a
major concern for policymakers across the world (e.g., Hughes et al., 2017). There is
also evidence that ACEs impact early motor development (e.g., Roeber, Tober, Bolt,
& Pollak, 2012; Wade, Bowden, & Sites, 2018).
There are some conflicting findings with regard to the structural impact of marked
childhood adversity on specific brain regions, but one of the most consistent findings
is that grey matter volume (GMV) in the cerebellum, a key subcortical region
involved in motor control, may be reduced (e.g., Bauer, Hanson, Pierson, Davidson,
& Pollak, 2009; De Bellis & Kuchibhatla, 2006). Most of this work has focused on the
effects of extreme childhood adversities, including neglect and abuse, but there is
emerging evidence that relatively moderate levels of parental/family discord may
impact cerebellar development. In a structural MRI study of older adolescents, Walsh
et al. (2014) found that there was a significant association between chronic, but
relatively moderate, levels of parental/family discord and reduced GMV across a
number of different brain regions. In particular, there was strong evidence of reduced
GMV in the vermis and midline areas of the cerebellum, which corresponds with
separate work on the neurological correlates of DCD (e.g., Zwicker, Missiuna, &
Boyd, 2009).
In summary, the findings from a wide body of research suggest that the problems
experienced by children with severe EBD are extensive and most likely reflect a
complex interplay of biopsychosocial processes (e.g., Cooper, 2014). From this
perspective, the emotional and behavioural difficulties of the child are unlikely to be
reducible to the impact of single factors. In other words, the elaborated
environmental stress hypothesis, which proposes that motor difficulties act as a
primary stressor on psychosocial functioning, may represent a partial model of
potential factors that may precipitate severe EBD. The findings from the few studies
that have examined motor skills in children who have been excluded from school or
identified with severe EBD suggest that motor difficulties may be common, with
males at particular risk (Hill, Pratt, Kanji, & Jones Bertoli, 2017; Iversen, Knivsberg,
Ellertsen, Nødland, & Larsen, 2006). However, it is not clear to what extent other
commonly co-occurring difficulties, such as ADHD and literacy problems, may have
contributed to the emotional and behavioural difficulties of the children in these
studies. In addition, the role of powerful social factors, such as family-upset, have not
been examined at the same time so that it is difficult to assess the importance of
motor function within a broader biopsychosocial framework.
The present study
The primary aim of the present study was to compare basic motor skills in children
with severe EBD to children from similar socially disadvantaged backgrounds, in the
context of other commonly co-occurring difficulties (attention deficits and
hyperactivity, literacy problems). A measure of an adverse childhood experience
(ACE) was also included (family-upset) in order to examine the importance of basic
motor skills in the context of a powerful social factor that previous research suggests
may impact socioemotional development.
A secondary aim of the study was to capture a broader picture of motor function by
including a clinical measure of primary reflex persistence. Primary reflex persistence
is usually associated with compromised neurological functioning in children with
cerebral palsy (e.g., Agarwal & Verma, 2012). Primary reflex tests are routinely
included as part of the neonatal pediatric motor examination (Zafieriou, 2004), and
the most frequently occurring persistent reflex in children with neurological lesions is
the asymmetric tonic neck reflex (ATNR) (Paine, 1961). The ATNR is a subcortical
response that was first demonstrated in decerebrated cats (Magnus, 1926), and a
similar response may be initiated in the human neonate; when the head is turned to
one side there is increased extensor tonus in the arms and legs on the same side
and flexor tonus in the limbs on the opposing side.
Lateral movement of the head also includes activation of the vestibular system,
which is multimodal with multiple projections to the cerebellum and other brain
regions (Angelaki & Cullen, 2008), including reciprocal projections to areas involved
in social cognition and emotion processing (Gurvich et al., 2013; Deroualle & Lopez,
2014). Vestibular dysfunction is also associated with a range of neurodevelopmental
disorders (Van Hecke et al., 2019).
Primary reflex responses typically diminish during the first year of life (Holt, 1991).
While severe persistence may indicate predominantly intractable organic problems,
such as cerebral palsy, milder persistence has been associated with less severe
motor and cognitive difficulties (e.g., Capute et al., 1984; McPhillips & Jordan-Black,
2007b). Some studies have shown that there may be very low levels of ATNR
activity in some healthy individuals without obvious motor difficulties (e.g., Bruijn et
al., 2013). This suggests that ATNR persistence may be better described on a
continuum, rather than simple presence/absence criteria, where raised levels of
ATNR persistence may be considered a behavioural marker of neurodevelopmental
delay (Morrison, 1985). This is the first study to examine the persistence of primary
reflexes in children with severe EBD.
The main aims of the present study were:
1. To examine basic motor skills and primary reflex persistence in children with
severe EBD;
2. To examine the relative impact of different aspects of motor function (basic
motor skills and primary reflex persistence) on psychosocial functioning in
children with severe EBD, in the context of commonly co-occurring factors
(family-upset, ADHD, and literacy difficulties).
Method
Participants
An independent groups design was used; 3 groups of children (aged 8-11 years)
were matched for age, IQ and levels of social disadvantage at group level. The
severe EBD group consisted of 29 children (all males) (mean age, 10y, 3m)
attending a special school for children with social, emotional and behavioural
difficulties in the Belfast district of N. Ireland. All of the children had been excluded
from mainstream primary schooling for at least 3 months.
A matched comparison group of 38 male children (mean age, 10y, 3m) and a
matched comparison group of 45 female children (mean age, 10y, 5m), with similar
levels of IQ and social disadvantage, were selected from an original sample of 192
children attending 4 mainstream primary schools in disadvantaged areas in the
Greater Belfast district. One-way ANOVAs revealed that there were no significant
differences between the three groups on age, F(2, 109) = 1.17, p =.315, ηp2 =.02, or
IQ scores, F(2, 109) = 0.41, p =.688, ηp2 =.01.
None of the children in the study groups had a diagnosed neurological disorder.
A flow diagram of how the groups were constructed is shown in Figure 1.
Insert Figure 1
Free school meal entitlement was used as an index of social disadvantage; 83% of
the severe EBD group, 87% of the male comparison group and 82% of the female
comparison group were entitled to free school meals. This compares to 31% of
children in the total primary school population in N. Ireland entitled to free school
meals at the time of the study (Department of Education, N. Ireland, 2015).
Measures
Three aspects of family background (death of a parent, lone parenthood or child in
care) were used to index the family status of the children; presence of one or more of
these background factors was used to indicate the presence of a family-upset.
Two subtests (vocabulary and matrix reasoning) from the 4 subtests available in the
Wechsler Abbreviated Scale of Intelligence (WASI-II) (Wechsler, 2011) were used to
provide a measure of full scale IQ. This is an individually administered standardised
test that can be completed in approximately 15 minutes.
The Strengths and Difficulties Questionnaire (SDQ) (Goodman, 1997) was used to
measure psychosocial functioning, and was completed by each child’s teacher. The
subscale scores were combined to provide an overall score. The SDQ has been
used extensively to screen for behavioural, emotional and psychiatric disorders in
children. Meltzer, Gatward, Goodman, and Ford (2000) found that, in a large
population sample of 5-10 year old children, females (N=2433) and males (N=2368)
had mean overall SDQ scores of 5.6 (SD = 5.3) and 8.0 (6.2), respectively.
The Conners 3 (Conners, 2008) was used to screen for levels of
attention-deficit/hyperactivity disorder (ADHD) and was also completed by the
appropriate teacher. The ‘inattention’ and ‘hyperactivity/impulsivity’ subscales were
used in this study as they were thought to be most indicative of ADHD. The Conners
3 is a standardised test with a mean T-score of 50 and a standard deviation of 10.
Scores above 70 indicate clinically significant difficulties for each subscale.
The Wechsler Individual Achievement Test (WIAT-II) (Wechsler, 2005) was used to
provide measures of core literacy skills. This is an individually administered
standardised test, which can be completed in approximately 15 minutes. The word
reading, pseudoword decoding, and spelling subtests were used. The standard
mean for each subtest of the WIAT-II is 100 with a standard deviation of 15. A
combined mean of the 3 subtest scores was used to create an overall basic literacy
composite score for each participant.
The Movement Assessment Battery for Children (MABC-2) (Henderson, Sugden and
Barnett, 2007) was used to provide detailed measures of fine and gross motor skills,
as well as static and dynamic balance, and takes approximately 25 minutes to
complete. Each participant completed 8 age-appropriate tasks; 3 manual dexterity, 2
aiming and catching, and 3 balance tasks. Composite scores were calculated for
manual dexterity, aiming and catching, and balance, as well as an overall motor
skills score and corresponding percentile values. The mean standard score for all
elements of the MABC-2 is 10 with a standard deviation of 3. According to the
MABC-2 test manual, scores in the bottom 5 percentiles (standard score of 5 or
below) represent a definite motor problem requiring motor intervention, and scores
between the 5th and 15th percentiles suggest a degree of difficulty that is borderline
(Henderson et al., 2007).
An adapted Schilder Test protocol was used to provide a measure of persistence of
a primary reflex, the asymmetric tonic neck reflex (ATNR), (Morrison, 1988;
Livingstone & McPhillips, 2014). In the present study head and arm movements were
recorded using the Qualisys Motion Capture System. The participants were asked to
stand at the centre of an arc of LED lights with their arms outstretched directly in
front at shoulder height. The trials began when the light display, which was
programmed to light in sequences either to the left or right, was initiated. Each trial
sequence lasted for 25 seconds and involved one turn of the head from the centre to
the left or right side of the arc, one turn of the head from one side of the arc across to
the other side, and one turn of the head back to the centre. This induced a sideways
rotation of the head at an angular velocity of approximately 0.35 radians per second.
The participants were instructed to keep their arms as still as possible and to
maintain the forward alignment of their arms towards a centrally located green LED
throughout.
Each participant completed two trials with their eyes open followed by two trials with
their eyes closed with the tester moving their head to follow the light sequences. To
avoid order effects, the head turns were counterbalanced. Kinematic measures of
arm and head movements in 3D space were recorded by six Qualisys cameras
suspended on a surrounding frame. The movements of the wrists and the front of the
head were measured using two reflective markers attached to elasticated wristbands
worn on the wrists, and one marker attached to the centre of a glasses frame, which
rested on the bridge of the nose.
The cameras captured at 56 frames per second, and the total extent of movement by
the markers across each formal trial was calculated using MATLAB version 7.6.0.
This was converted to a ratio of total arm movement to total head movement, thus
scaling the amplitude of the arm movement with respect to each individual’s head
rotation.
Procedure
Ethical approval for the study was given by the Research Ethics Committee, N.
Ireland. Parental consent was obtained for all of the children who participated in the
study, and each child gave written and verbal consent at the outset of all of the test
sessions.
Testing was divided into 3 separate sessions. All of the testing was conducted in a
separate, quiet room in each school. In Session 1, the total sample of children
(N=225) completed the WASI-II (Wechsler, 2011). This was used to construct the
comparison groups, which were matched as a group to the children with severe EBD
on age and IQ score. As the IQ levels of the children with severe EBD were relatively
low, male and female comparison participants were allocated on the basis of
proximity to the mean IQ score of this group; in practice, an IQ score of 95 or below
was used as a cut-off. In Session 2, the selected children completed the WIAT-II
(Wechsler, 2005), and in Session 3, the selected children completed the MABC-2
(Henderson et al., 2007) and adapted Schilder Test (Morrison, 1988; Livingstone &
McPhillips, 2014). The questionnaires were completed by the appropriate class
teacher for each selected child. Children at risk of autism spectrum disorders
(undergoing assessment) were excluded from the study.
Data Analysis
The IBM SPSS 23.0 statistical package (IBM Corporation, New York, USA) was
used to analyse the data. An a priori calculation of statistical power, assuming a
large effect size of 0.4, suggested that 3 groups of 30 participants each would
provide 92% power to detect a significant difference (Faul, Erdfelder, Lang, Buchner,
2007). Standard MANOVA and ANOVA procedures, with post hoc Bonferroni tests,
were used to make group comparisons.
A hierarchical multiple regression analysis was used to evaluate the relative
predictive power of six predictors on social-emotional functioning (total SDQ scores).
The predictors were entered in four blocks to reflect the literature outlined earlier,
and, in particular, to assess the additional contribution of motor difficulties and
primary reflex persistence in the context of previously established predictors. Family-
upset (presence of a significant upset in family life; death of a parent, lone parent or
child in care or looked after) was included at step one, inattention and
hyperactivity/impulsivity (T-scores on the two subscales of the Conners 3) were
added at step two; literacy level (composite scores of reading, pseudoword decoding
and spelling) was added at step three: motor skills (total standard scores on the
MABC-2) and ATNR persistence (ratio scores on the eyes closed condition of the
adapted Schilder test) were added at step four. The sample size was deemed
adequate to test if the model, with 6 predictors, was significant (Tabachnick & Fidell,
2007). Correlational analyses revealed that none of the predictors were highly
correlated, and collinearity statistics (Tolerance and VIF) were well within acceptable
limits (Field, 2013). Residual and scatterplots suggested that the assumptions of
normality, linearity and homoscedasticity were all met (Field, 2013).
Results
Family-upset
In total, 27 children with severe EBD (93%) had experienced at least one family-
upset. Twenty-three (79%) lived in a lone parent household following family break-up
(compared to 25% for all families living in the UK (ONS, 2015)). In addition, 4
children (14%) had experienced the death of a parent, with 2 living with the
remaining parent and 2 in care (looked after). In contrast, none of the children in
either comparison group had experienced the death of a parent or was in care.
However, 14 (37%) of the children in the male comparison group and 13 (29%) of
the children in the female comparison group had experienced family break-up. A chi-
square test revealed that there was a significant association between the groups and
the presence of a family-upset, χ2(2) = 32.10, p<.001. Standardised residuals
showed that there was a significantly higher proportion of children with a family-upset
in the severe EBD group; there were no significant differences in proportions with a
family-upset in the male and female comparison groups.
The means and standard deviations of group characteristics and dependent
measures are shown in Table 1.
Insert Table 1
One-way MANOVAs were used initially for analyses of the Conners 3 subscales, the
WIAT-II subtests, the Movement ABC-2 composites, and the arm:head ratios on the
adapted Schilder Test for ATNR persistence to reduce the risk of family-wise error
from multiple ANOVAs.
Conners 3 subscales
A one-way MANOVA revealed that there was a significant effect of group on the
combined variable of the standardised scores for inattention and
hyperactivity/impulsivity subscales, Wilks’ Lambda (Ʌ) = .70, F(4,216) = 10.53, p
<.001, ηp2 =.16.
Wechsler Individual Achievement Test (WIAT-II)
A one-way MANOVA revealed that there was a significant effect of group on the
combined variable of the WIAT-II standardised scores for reading, pseudoword
decoding and spelling, Wilks’ Lambda (Ʌ) = .77, F(6,214) = 4.94, p <.001, ηp2 =.12.
Movement ABC-2 (MABC-2)
A one-way MANOVA revealed that there was a significant effect of group on the
combined variable of the MABC-2 composite scores (manual dexterity, aiming and
catching, and balance), Wilks’ Lambda (Ʌ) = .48, F(6,214) = 15.64, p < .001, ηp2 =.31.
The distribution of total and composite scores for the MABC-2 according to group is
further illustrated in Figure 2.
Insert Figure 2
ATNR persistence
A one-way MANOVA revealed that there was a significant effect of group on the
combined variable of arm:head ratios, Wilks’ lambda (Ʌ) = .82, F(4,216) = 5.50, p
<.001, ηp2 =.09.
The distribution of arm:head movement ratio scores for each of the three groups
across the two conditions of the adapted Schilder Test is further illustrated in Figure
3.
Insert Figure 3
The follow-up ANOVAs for significant MANOVAs, with a summary of the post hoc
analyses, are also presented in Table 1.
Regression analysis
The hierarchical multiple regression showed that at Step 1, family-upset contributed
significantly to the model, F(1,111) = 67.45, p<.001, and accounted for 37% of the
variation in SDQ scores. When inattention and hyperactivity/impulsivity were added
at Step 2, a significant additional 22% of the variation in SDQ scores was explained,
F(3,109) = 53.04, p<.001. When literacy was added at Stage 3, a significant
additional 3% of the variation in SDQ scores was explained, F(4,108) = 44.29,
p<.001. Finally, the addition of basic motor skills and ATNR persistence at Stage 4
explained a significant further 10% of the variation in SDQ scores. In the final model,
F(6,106) = 44.55, p<.001, all of the predictors were significant, with the exception of
inattention (p=.55), and the linear combination of the 6 predictors accounted for 70%
of the variation in SDQ scores (psychosocial functioning). Hyperactivity/Impulsivity
explained the largest unique variation in SDQ scores followed by ATNR persistence.
A summary table of the 4-stage hierarchical multiple regression model is shown in
Table 2.
Insert Table 2
Discussion
The results showed that the children with severe EBD in the present study
experienced a significant level of family-upset (93%) relative to matched control
groups, emphasising the potential impact of family background factors on social-
emotional development.
The results also showed that the children with severe EBD had significantly higher
scores (raised levels of socio-emotional problems) on the Strength and Difficulties
Questionnaire (SDQ) than the male and female comparison groups, which were
matched for IQ and levels of social disadvantage. In fact, 83% of the children with
severe EBD had scores that indicated high (14%) or very high (69%) levels of socio-
emotional difficulty. This suggests that the SDQ provided a good measure of the
emotional and behavioural difficulties experienced by the children with severe EBD
in the present study. Further, the male comparison group had significantly higher
levels of socio-emotional difficulty than the female comparison group; this is in line
with previous work that suggests males score higher than females on this measure
(Meltzer et al., 2000).
The children with severe EBD had significantly higher scores on the inattention and
hyperactivity/impulsivity subscales of the Conners 3 than the male and female
comparison groups, who did not differ significantly on either subscale. On the
hyperactivity/impulsivity subscale, in particular, 62% of the children with severe EBD
showed clinically at-risk scores (above 70), which is unsurprising as these children
were excluded predominantly on the basis of disruptive behaviours. Further, the
comparison groups also showed raised levels of hyperactivity/impulsivity, relative to
normative data, which may reflect the overall high levels of social disadvantage
across the 3 groups (e.g., Russell et al., 2014).
The results also showed that the children with severe EBD had significantly lower
composite literacy scores than the male and female comparison groups, which did
not differ significantly; 59% of the children with severe EBD had literacy levels in the
lowest 10 percentiles in comparison to 26% and 16% for the male and female
comparison groups respectively. This is in line with previous research in children with
severe EBD (e.g., Reid et al., 2004; Trout et al., 2003). The high overall levels of
literacy difficulties across all 3 groups may, again, reflect the high levels of social
disadvantage of the study sample (e.g., Buckingham et al., 2014; Dilnot et al., 2017).
The results also showed that, on a standardised test of basic motor skills (Movement
ABC-2), the children with severe EBD displayed significantly lower overall levels of
basic motor skill than the male and female comparison groups. Overall, 55% of the
children with severe EBD scored at or below the 5th percentile on total Movement
ABC-2 scores, which suggests clinically significant motor difficulties or probable
developmental coordination disorder (DCD) (Henderson et al., 2007). In contrast, 5%
and 2% of the male and female comparison groups, respectively, scored at or below
the 5th percentile on the MABC-2. These findings are in line with previous work on
motor skills in children who experience social, emotional and behavioural problems
(e.g., Ekornås et al., 2010; Hill et al., 2017; Iversen et al., 2006; Skirbekk et al.,
2012). However, previous studies have not included measures of social factors, such
as family-upset, so it is difficult to determine the contribution of broader ecological
factors to psychosocial outcomes in earlier work.
The results also showed that the children with severe EBD had significantly higher
levels of a persistent primary reflex, the asymmetric tonic neck reflex (ATNR),
relative to the comparison groups. This is the first study to explore the relationship
between early reflex persistence, an indicator of neurodevelopmental delay, and
psychosocial outcome. The high level of ATNR persistence in children with EBD
provides behavioural evidence of disturbance in an early subcortical system that has
been linked to a range of sub-optimal motor and cognitive outcomes (McPhillips &
Jordan-Black, 2007b; Morrison, 1985).
Regression model
The regression model accounted for 70% of the variance in total SDQ scores and
revealed that family upset, hyperactivity/impulsivity, literacy, basic motor skills and
ATNR persistence were all significant predictors of psychosocial outcome. Overall,
the results highlight how children with severe EBD are at risk of experiencing
significant, multiple co-occurring problems. In other words, motor difficulties may act
as a primary stressor on psychosocial outcome to some extent, as suggested by the
‘environmental stress hypothesis’ (Cairney et al., 2013), but the findings here also
suggest potentially complex, biopsychosocial inter-relationships. Further, the
measures of basic motor skills and reflex persistence used in this study acted as
separate, significant predictors of psychosocial outcome, in the context of other
significant predictors.
This is an important finding as it suggests that socio-emotional difficulties in children
with severe EBD may be related to neurological vulnerabilities involving early motor
and, in particular, vestibular system development. This is in line with previous
research that has highlighted the structural impact of mild family discord on a
subcortical structure, the cerebellum, in adolescents (Walsh et al., 2014). Further
research is required to unpick potential reciprocal relationships between early
adversity and motor vulnerability, including primary reflex persistence and the role of
the extensive projections of the vestibular system across multiple brain systems in
early development. Similarly, hyperactivity/impulsivity was the single largest
predictor of SDQ scores, and, given the association between hyperactivity/impulsivity
and motor difficulties in children with DCD (Kaiser et al., 2015), further work is
required to examine possible neurodevelopmental links between ADHD and early
motor functioning.
As mentioned earlier, there was evidence of a gender difference in SDQ scores
between the groups. These data, in association with the high levels of family-upset in
the severe EBD group and the preponderance of males with severe EBD, suggest
that male children may be more vulnerable to psychosocial problems when families
experience difficulties, assuming male and female children are at similar risk of
experiencing family-upset.
The cross-sectional design of the present study is a major limitation. Longitudinal
work is required to assess the relative importance of specific aspects of motor
function on psychosocial outcomes over time, and to examine the possible impact of
a wider range of adverse circumstances on the development of the different aspects
of motor function measured here. Family break-up was only one of the categories of
adversity used in the original ACEs research with adult samples (Boullier & Blair,
2018), and a more extensive measure of childhood adversity than that used in the
present study may have revealed even more powerful effects of adversity. A simple
index was used in this study as preliminary discussions with the school principal
revealed that there were potentially significant traumas in the lives of some of the
children with severe EBD. More in-depth family measures (e.g., in-depth interviews
or extensive questionnaires) were beyond the scope of the present study.
Conclusions
The results illustrate the importance of a broad biopsychosocial perspective in
understanding the diverse and complex problems experienced by children with
severe EBD. Addressing adverse environmental circumstances and enhancing
resilience may require comprehensive long-term societal and family support
strategies involving multi-agency provision. However, the findings also provide
strong evidence that children with severe EBD are at significant risk of motor
problems, including primary reflex persistence. From an educational perspective, the
findings suggest that specific approaches aimed at improving different aspects of
motor function in children with EBD should be incorporated into classroom practice
as a matter of urgency, with a particular emphasis on early intervention.
References
Agarwal, A., & Verma, I. (2012). Cerebral palsy in children: An overview. Journal of
Clinical Orthopaedics and Trauma, 3(2), 77-81.
https://doi.org/10.1016/j.jcot.2012.09.001
Angelaki, D. E., & Cullen, K. E. (2008). Vestibular system: the many facets of a
multimodal sense. Annual Review of Neuroscience, 31(1), 125-150.
https://doi.org/10.1146/annurev.neuro.31.060407.125555
Bauer, P. M., Hanson, J. L., Pierson, R. K., Davidson, R. J., & Pollak, S. D. (2009).
Cerebellar volume and cognitive functioning in children who experienced early
deprivation. Biological Psychiatry, 66(12), 1100-1106.
https://doi.org/10.1016/j.biopsych.2009.06.014
Blair, C., & Raver, C. C. (2015). School readiness and self-regulation: A
developmental psychobiological approach. Annual Review of Psychology, 66, 711-
731. https://dx.doi.org/10.1146%2Fannurev-psych-010814-015221
Boullier, M., & Blair, M. (2018). Adverse childhood experiences. Paediatrics and
Child Health, 28(3), 132-137. https://doi.org/10.1016/j.paed.2017.12.008
Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child
development. Annual Review of Psychology, 53(1), 371-399.
https://doi.org/10.1146/annurev.psych.53.100901.135233
Bruijn, S. M., Massaad, F., MacLellan, M. J., Van Gestel, L., Ivanenko, Y. P., &
Duysens, J. (2013). Are effects of the symmetric and asymmetric tonic neck reflexes
still visible in healthy adults? Neuroscience Letters, 556, 89-92.
https://doi.org/10.1016/j.neulet.2013.10.028
Buckingham, J., Bearman, R., & Wheldall, K. (2014). Why poor children are more
likely to become poor readers: the early years. Educational Review, 66(4), 428-446.
https://doi.org/10.1080/00131911.2013.795129
Cairney, J., Rigoli, D., & Piek, J. (2013). Developmental coordination disorder and
internalising problems in children: The environmental stress hypothesis elaborated.
Developmental Review, 33(3), 224-238. https://doi.org/10.1016/j.dr.2013.07.002
Capute, A. J., Palmer, F. B., Shapiro, B. K., Wachtel, R. C., Ross, A., & Accardo, P.
J. (1984). Primitive reflex profile: a quantitation of primitive reflexes in infancy.
Developmental Medicine & Child Neurology, 26(3), 375-383.
https://doi.org/10.1111/j.1469-8749.1984.tb04456.x
Carroll, J. M., Maughan, B., Goodman, R., & Meltzer, H. (2005). Literacy difficulties
and psychiatric disorders: Evidence for comorbidity. Journal of Child Psychology and
Psychiatry, 46(5), 524-532. https://doi.org/10.1111/j.1469-7610.2004.00366.x
Conners, K. (2008). Conners 3rd Edition. New York: Multi-Health Systems Inc.
Cooper, P. (2014). Biology, emotion and behaviour: The value of a biopsychosocial
perspective in understanding SEBD. In P. Garner, J. Kauffman, & J. Elliott (Eds.),
The Sage handbook of emotional and behavioural difficulties (2nd edition), (pp. 108-
137). London: SAGE Publications.
De Bellis, M. D., & Kuchibhatla, M. (2006). Cerebellar volumes in pediatric
maltreatment-related posttraumatic stress disorder. Biological Psychiatry, 60(7), 697-
703. https://doi.org/10.1016/j.biopsych.2006.04.035
Department for Education, (2017). Permanent and fixed period exclusions in
England: 2016 to 2017. London: Department for Education.
Department of Education Northern Ireland, (2015). The Department of Education
School Census of 2014-2015. Retrieved from:
http://www.deni.gov.uk/statistics_and_research-school_census_documentation.htm.
Deroualle, D., & Lopez, C. (2014). Toward a vestibular contribution to social
cognition. Frontiers in Integrative Neuroscience, 8, 16.
https://doi.org/10.3389/fnint.2014.00016
Dewey, D., Kaplan, B. J., Crawford, S. G., & Wilson, B. N. (2002). Developmental
coordination disorder: Associated problems in attention, learning, and psychosocial
adjustment. Human Movement Science, 21, 905-918. https://doi.org/10.1016/s0167-
9457(02)00163-x
Dewey, D., & Bernier, F. P. (2016). The concept of Atypical Brain Development in
developmental coordination disorder (DCD)—a new look. Current Developmental
Disorders Reports, 3(2), 161-169. http://dx.doi.org/10.1007/s40474-016-0086-6
Dilnot, J., Hamilton, L., Maughan, B., & Snowling, M. J. (2017). Child and
environmental risk factors predicting readiness for learning in children at high risk of
dyslexia. Development and Psychopathology, 29(1), 235-244.
https://dx.doi.org/10.1017%2FS0954579416000134
Ekornås, B., Lundervold, A. J., Tjus, T., & Heimann, M. (2010). Anxiety disorders in
8-11 year old children: Motor skill performance and self-perception of competence.
Scandinavian Journal of Psychology, 51(3), 271-277. https://doi.org/10.1111/j.1467-
9450.2009.00763.x
Evans, G. W. (2016). Childhood poverty and adult psychological well-being.
Proceedings of the National Academy of Sciences, 113(52), 14949-14952.
https://doi.org/10.1073/pnas.1604756114
Farah, M. J., Shera, D. M., Savage, J. H., Betancourt, L., Giannetta, J. M., Brodsky,
N. L., ... & Hurt, H. (2006). Childhood poverty: Specific associations with
neurocognitive development. Brain Research, 1110(1), 166-174.
https://doi.org/10.1016/j.brainres.2006.06.072
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G∗Power 3: A flexible
statistical power analysis program for the social, behavioural and biomedical
sciences. Behaviour Research Methods, 39(2), 175–191.
https://doi.org/10.3758/BF03193146
Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London,
England: Sage.
Gillberg, C. (2010). The ESSENCE in child psychiatry: Early symptomatic syndromes
eliciting neurodevelopmental clinical examinations. Research in Developmental
Disabilities, 31(6), 1543-1551. https://doi.org/10.1016/j.ridd.2010.06.002
Goodman, R. (1997). The Strengths and Difficulties Questionnaire: a research note.
Journal of Child Psychology and Psychiatry, 38(5), 581-586.
https://doi.org/10.1111/j.1469-7610.1997.tb01545.x
Gurvich, C., Maller, J. J., Lithgow, B., Haghgooie, S., & Kulkarni, J. (2013).
Vestibular insights into cognition and psychiatry. Brain Research, 1537, 244-259.
https://doi.org/10.1016/j.brainres.2013.08.058
Henderson, S., Sugden, D., & Barnett, A. L. (2007). Movement Assessment Battery
for Children, 2nd Edition. London: Pearson Assessment.
Hill, E., Pratt, M. L., Kanji, Z., & Bartoli, A. J. (2017). Motor and coordination
difficulties in children with emotional and behavioural difficulties. Emotional and
Behavioural Difficulties, 22(4), 293-302.
https://doi.org/10.1080/13632752.2017.1287400
Holt, K.S. (1991). Child development: Diagnosis and assessment. London:
Butterworth-Heinemann.
Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., ... &
Dunne, M. P. (2017). The effect of multiple adverse childhood experiences on health:
a systematic review and meta-analysis. The Lancet Public Health, 2(8), e356-e366.
https://doi.org/10.1016/S2468-2667(17)30118-4
Iversen, S., Knivsberg, A. M., Ellertsen, B., Nødland, M., & Larsen, T. B. (2006).
Motor coordination difficulties in 5–6‐year‐old children with severe behavioural and
emotional problems. Emotional and Behavioural Difficulties, 11(3), 169-185.
https://doi.org/10.1080/13632750600833817
Kaiser, M-L., Schoemaker, M. M., Albaret, J-M., & Geuze, R. H. (2015). What is the
evidence of impaired motor skills and motor control among children with attention
deficit hyperactivity disorder (ADHD)? Systematic review of the literature. Research
in Developmental Disabilities, 36, 338-357. https://doi.org/10.1016/j.ridd.2014.09.023
Levit-Binnun, N., Davidovitch, M., & Golland, Y. (2013). Sensory and motor
secondary symptoms as indicators of brain vulnerability. Journal of
Neurodevelopmental Disorders, 5(1), 26-46. https://doi.org/10.1186/1866-1955-5-26
Lingam, R., Jongmans, M. J., Ellis, M., Hunt, L. P., Golding, J., & Emond, A. (2012).
Mental health difficulties in children with developmental coordination disorder.
Pediatrics, 129(4), e882-e891. https://doi.org/10.1542/peds.2011-1556
Livingstone, N., & McPhillips, M. (2014). Primary reflex persistence in children with
partial hearing. Developmental Neuropsychology, 39(3), 233-247.
https://doi.org/10.1080/87565641.2013.874427
Magnus, R. (1926). Cameron Prize Lectures. Lancet,'ii, 211, 531.
https://doi.org/10.1016/S0140-6736(01)27826-X
Mancini, V. O., Rigoli, D., Roberts, L. D., Heritage, B., & Piek, J. P. (2018). The
relationship between motor skills and psychosocial factors in young children: A test
of the elaborated environmental stress hypothesis. British Journal of Educational
Psychology, 88(3), 363-379. https://doi.org/10.1111/bjep.12187
McClelland, M. M., Cameron, C. E., Connor, C. M., Farris, C. L., Jewkes, A. M., &
Morrison, F. J. (2007). Links between behavioural regulation and preschoolers'
literacy, vocabulary, and math skills. Developmental Psychology, 43(4), 947-959.
https://psycnet.apa.org/doi/10.1037/0012-1649.43.4.947
McPhillips, M., & Jordan-Black, J. A. (2007a). The effect of social disadvantage on
motor development in young children: a comparative study. Journal of Child
Psychology and Psychiatry, 48(12), 1214-1222. https://doi.org/10.1111/j.1469-
7610.2007.01814.x
McPhillips, M., & Jordan-Black, J. A. (2007b). Primary reflex persistence in children
with reading difficulties (dyslexia): A cross-sectional study. Neuropsychologia, 45(4),
748-754. http://dx.doi.org/10.1016/j.neuropsychologia.2006.08.005
Meltzer H., Gatward, R., Goodman, R., & Ford, T. (2000). The mental health of
children and adolescents in Great Britain: Summary report. London: The Stationary
Office.
Morrison, D. C. (1985). Neurobehavioural and perceptual dysfunction in learning
disabled children. Lewiston, NY: CJ Hogrefe, Inc.
Mundschenk, D., & Simpson, R. (2014). Defining emotional or behavioural disorders:
The quest for affirmation. In P. Garner, J. Kauffman, & J. Elliott (Eds.), The Sage
handbook of emotional and behavioural difficulties (2nd edition), (pp. 43-54). London:
SAGE Publications.
Office for National Statistics. (2015). Families and households. London: Office for
National Statistics.
Paine, R. S. (1961). Neurologic conditions in the neonatal period: Diagnosis and
management. Pediatric Clinics of North America, 8(2), 577-610.
https://doi.org/10.1016/S0031-3955(16)31128-2
Piek J. P., & Rigoli, D. (2015). Psychosocial and behavioural deficits in children with
developmental coordination disorder. In J. Cairney (Ed.), Developmental
coordination disorder and its consequences (pp. 108-137). Toronto: University of
Toronto Press.
Razza, R. A., Martin, A., & Brooks-Gunn, J. (2012). The implications of early
attentional regulation for school success among low-income children. Journal of
Applied Developmental Psychology, 33(6), 311-319.
https://doi.org/10.1016/j.appdev.2012.07.005
Reid, R., Gonzalez, J. E., Nordness, P. D., Trout, A., & Epstein, M. H. (2004). A
meta-analysis of the academic status of students with emotional/behavioural
disturbance. The Journal of Special Education, 38(3), 130-143.
https://doi.org/10.1177%2F00224669040380030101
Roeber, B. J., Tober, C. L., Bolt, D. M., & Pollak, S. D. (2012). Gross motor
development in children adopted from orphanage settings. Developmental Medicine
& Child Neurology, 54(6), 527-531. https://doi.org/10.1111/j.1469-8749.2012.04257.x
Russell, G., Ford, T., Rosenberg, R., & Kelly, S. (2014). The association of attention
deficit hyperactivity disorder with socioeconomic disadvantage: alternative
explanations and evidence. Journal of Child Psychology and Psychiatry, 55(5), 436-
445. https://doi.org/10.1111/jcpp.12170
Siperstein, G. N., Wiley, A. L., & Forness, S. R. (2011). School context and the
academic and behavioural progress of students with emotional disturbance.
Behavioural Disorders, 36(3), 172-184. Retrieved from
http://www.jstor.org/stable/43153535
Skirbekk, B., Hansen, B. H., Oerbeck, B., Wentzel-Larsen, T., & Kristensen, H.
(2012). Motor impairment in children with anxiety disorders. Psychiatry Research,
198(1), 135-139. https://doi.org/10.1016/j.psychres.2011.12.008
Smyth, M. M., & Anderson, H. I. (2000). Coping with clumsiness in the school
playground: Social and physical play in children with coordination impairments.
British Journal of Developmental Psychology, 18(3), 389–413.
https://doi.org/10.1348/026151000165760
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.).
Boston, MA: Pearson.
Trout, A. L., Nordness, P. D., Pierce, C. D., & Epstein, M. H. (2003). Research on
the academic status of children with emotional and behavioural disorders: A review
of the literature from 1961 to 2000. Journal of Emotional and Behavioural Disorders,
11(4), 198-210. https://doi.org/10.1177%2F10634266030110040201
Van Damme, T., Sabbe, B., van West D., & Simons, J. (2015). Motor abilities of
adolescents with a disruptive behavior disorder: The role of comorbidity with
ADHD. Research in Developmental Disabilities, 40, 1–10.
https://doi.org/10.1016/j.ridd.2015.01.004
Van Hecke, R., Danneels, M., Dhooge, I., Van Waelvelde, H., Wiersema, R.,
Deconinck, F., & Maes, L. (2019). Vestibular function in children with
neurodevelopmental disorders: a systematic review. Journal of Autism and
Developmental Disorders, in press.
Wadsworth, M. E., & Achenbach, T. M. (2005). Explaining the link between low
socioeconomic status and psychopathology: testing two mechanisms of the social
causation hypothesis. Journal of Consulting and Clinical Psychology, 73(6), 1146.
https://doi.org/10.1037/0022-006X.73.6.1146
Wagner, M. O., Bös, K., Jascenoka, J., Jekauc, D., & Petermann, F. (2012). Peer
problems mediate the relationship between developmental coordination disorder and
behavioural problems in school-aged children. Research in Developmental
Disabilities, 33(6), 2072-2079. https://doi.org/10.1016/j.ridd.2012.05.012
Walsh, N. D., Dalgleish, T., Lombardo, M. V., Dunn, V. J., Van Harmelen, A., Ban,
M., & Goodyer, I. M. (2014). General and specific effects of early-life psychosocial
adversities on adolescent grey matter volume. NeuroImage: Clinical, 4, 308-318.
https://doi.org/10.1016/j.nicl.2014.01.001
Wechsler, D. (2005). The Wechsler Individual Achievement Test (WIAT). San
Antonio, TX: Pearson.
Wechsler, D. (2011). The Wechsler Abbreviated Scale of Intelligence, 2nd Edition.
USA: Pearson.
Zafeiriou, D. I. (2004). Primitive reflexes and postural reactions in the
neurodevelopmental examination. Pediatric Neurology, 31(1), 1-8.
https://doi.org/10.1016/j.pediatrneurol.2004.01.012
Zwicker, J. G., Missiuna, C., & Boyd, L. A. (2009). Neural correlates of
developmental coordination disorder: a review of hypotheses. Journal of Child
Neurology, 24(10), 1273-1281. https://doi.org/10.1177/0883073809333537
Table 1 The means and standard deviations for group characteristics and dependent measures
Children with EBD
(EBD) n=29
Male comparison (MC) n=38
Female comparison (FC) n=45 F-values Post hoc
M SD M SD M SDAge (months)
WASI-2
SDQ
Conners 3
Inattention
Hyperactivity
WIAT-II
Literacy composite
Reading
Pseudowords
Spelling
Movement ABC-2
Total
Manual dexterity
Aiming & Catching
Balance
Adapted Schilder Test
Eyes Open
Eyes Closed
123.1
87.2
20.2
65.1
74.8
79.3
78.3
80.2
79.3
5.7
6.5
7.9
5.8
0.86
1.63
10.0
12.2
5.2
7.6
13.5
13.1
16.2
14.2
11.1
2.8
2.8
2.8
3.0
0.21
0.64
122.7
88.0
8.8
57.5
62.0
88.3
85.8
91.6
87.4
9.2
7.3
10.8
10.8
0.74
1.20
8.1
4.6
5.6
8.6
16.5
11.3
10.2
13.9
12.3
2.1
2.1
2.5
2.5
0.22
0.43
125.3
88.8
5.6
53.3
55.7
93.3
90.0
95.4
94.4
10.1
9.5
9.7
10.7
0.70
1.20
6.8
4.7
5.9
8.7
11.1
11.7
10.7
13.4
13.3
2.4
2.6
2.8
2.3
0.16
0.39
F(2,109) = 1.17, p = .315
F(2,109) = 0.41, p = .668
F(2,109) = 62.31, p < .001
F(2,109) = 17.56, p < .001
F(2,109) = 17.06 p < .001
F(2,109) = 12.24, p < .001
F(2,109) = 8.12, p = .001
F(2,109) = 11.08, p < .001
F(2,109) = 13.11, p < .001
F(2,109) = 29.55, p < .001
F(2,109) = 14.30, p < .001
F(2,109) = 9.35, p < .001
F(2,109) = 39.16, p < .001
F(2,109) = 6.43, p = .002
F(2,109) = 8.65, p < .001
EBD > (MC > FC)
EBD > (MC = FC)
EBD > (MC = FC)
EBD < (MC = FC)
EBD < (MC = FC)
EBD < (MC = FC)
(EBD < MC) < FC
EBD < (MC = FC)
(EBD = MC) < FC
EBD < (MC = FC)
EBD < (MC = FC)
EBD > (MC = FC)
EBD > (MC = FC)
32
MOTOR FUNCTION AND EBD 2
Table 2. Summary of hierarchical multiple regression model for variables predicting SDQ scores
b SE B β t R R2adj ∆R2
Step 1 .61 .37 .37
Constant 6.20 0.81 7.67***
Family-upset 9.98 1.24 .61 8.08***
Step 2 .77 .58 .22
Constant -12.98 3.37 -3.85***
Family-upset 5.51 1.20 .34 4.58***
Inattention 0.11 0.07 .13 1.55
Hyperactivity/Impulsivity 0.24 0.04 .45 5.70***
Step 3 .79 .61 .04
Constant 2.53 5.88 0.43
Family-upset 4.10 1.24 .25 3.32**
Inattention 0.07 0.07 .08 1.01
Hyperactivity/Impulsivity 0.23 0.04 .44 5.78***
Literacy -0.14 0.04 -.22 -3.16**
Step 4 .85 .70 .09
Constant 0.23 5.75 0.04
Family-upset 2.72 1.12 .17 2.44*
Inattention 0.04 0.06 .04 0.60
MOTOR FUNCTION AND EBD 3
Hyperactivity/Impulsivity 0.23 0.04 .44 6.51***
Literacy -0.10 0.04 -.17 -2.63*
Motor skills -0.42 0.16 -.16 -2.66**
ATNR persistence 4.04 0.90 .25 4.49***
Note. N = 112;*p <.05, **p <.01, ***p <.001
MOTOR FUNCTION AND EBD 4
0
Figure 1. A flow chart of the construction of the 3 groups
Severe EBD; n = 33
32 male, 1 female
Comparison sample; n = 192
87 male, 105 female
Severe EBD group
n = 29
Excluded males:
3 IQ < 70
1 diagnosis of Asperger Syndrome
4 incomplete data
41 IQ > 95
Excluded females:
1 IQ < 70
1 English not first language
2 incomplete data
56 IQ > 95
Male comparison
group
n = 38
Female comparison
group
n = 45
Excluded severe EBD:
1 female
3 males undergoing assessment
for ASD
MOTOR FUNCTION AND EBD 5
Figure 2. A boxplot of total and composite Movement ABC-2 standard scores according to group.
MOTOR FUNCTION AND EBD 6
Figure 3. A boxplot of arm:head movement ratios for the adapted Schilder test according to group.