John Cairney - Department of Family Medicine
Download
Report
Transcript John Cairney - Department of Family Medicine
Why Can’t Johnny Tie his Shoelaces?
Developmental Coordination Disorder in
Children: Implications for Primary Care
Dr. John Cairney
McMaster Family Medicine Professor of Child Health
Departments of Family Medicine, Psychiatry and Behavioural
Neurosciences
Offord Centre for Child Studies
CanChild Centre for Studies in Childhood Disability
What is DCD?
DSM-IV (American Psychiatric Association, 2000)
Essential feature is a “marked impairment in the
development of motor coordination”
(1) Impairment
must significantly interfere with
academic achievement or activities of daily living
(2) coordination difficulty not due to a general medical
condition (e.g., CP or MD), and criteria for
pervasive developmental disorder not met
(3) If mental retardation is present, motor difficulties
must be in excess of normal for that population
By other names …
“Specific Developmental Disorder of Motor Function” (WHO, 1992)
“Minimal Neurological Dysfunction” (Henderson et al., 1992)
“Playground Disability” (Hay and Missiuna, 1999)
“Clumsy Child Syndrome” (Bax, 1999)
“Dyspraxia” (Zoia, 1999)
This terminology was replaced by “Developmental Coordination
Disorder" or “DCD” based on the recommendations from the
International Consensus Meeting on Children and Clumsiness (London,
ON, Canada, 1996).
Signs and Symptoms
Gross Motor Deficits:
Hypotonia
Immature balance responses
Awkward running pattern
Frequent falling
Dropping of items
Difficulty in imitating body positions
Poor physical activity performance
Signs and Symptoms
Fine
Motor Deficits:
Handwriting
Gripping
Dressing
items
VIDEOS
subject3v2.wmv
subject4v2.wmv
Cause?
Uncertain
Origins in fetal brain development
Cerebellum
Prognosis? (clinical evidence)
DCD symptoms persist through
adolescence (adulthood?) contributing to
increased risk for:
psychiatric disorders
academic failure
physical health problems (associated with
inactivity – cardiovascular risk)
Intervention / Treatment
Mixed evidence
Evidence of efficacy for cognitive,
client centered, task based
interventions
Environmental accommodation –
coping & Advocacy
PHYSICAL
HEALTH
ACTIVITY
STUDY
TEAM
PHAST I
In 2004, my research team was awarded
$520,000 from CIHR to study:
Motor proficiency in relation to physical
activity, physical fitness, body weight and
self-efficacy over time (3 years), in a large
cohort of children in grade 4
PHAST I: Sample
Target Population: All children enrolled in
Grade 4 (Public School System) in Niagara
Response (school level): 75 of 90 (83%)
schools consented to take part
Response (student level): 2297 of 2378
(95.4%)
PHAST I: Design
Study Began Spring (May/June 2005)
Tested twice a year (fall and spring)
From grade 4 to present (children started
high school this past fall
Data presented here is till grade 7
All testing completed in schools
PHAST I: Design
75 schools were randomly assigned to 3 groups; motor testing
(BOTMP-sf) was conducted over 3 time points (25 schools per
wave). Trained Research Assistants administered the test (2-3
students)
After each test, 8 children (6 who scored <5th percentile, 2 who
scored >5th percentile) were randomly selected.
An OT, blind to the BOTMP-sf scores, assessed the children
on the K-BIT and the M-ABC
PHAST: Measures
BOTMP-sf (M-ABC, K-BIT)
CSAPPA (Hay, 1992)
Participation Questionnaire (Hay, 1992)
BMI / Waist Girth (sitting height to derive
peak height velocity)
VO2 Max – Shuttle Run
Teacher Reported Physical Activity / Ability
Harter Scales
Method Phase I: Survey and
Cardiovascular Risk Factor Assessment
Classroom
Gymnasium
Method Phase II: Motor-proficiency
Testing
BOTMP-SF:
14 item - short form
Gross motor skill
Fine motor skill
Blind and independent to
Phase 1 results
Evaluated parameters:
Running & response speed, strength, balance, agility, upper-limb coordination,
dexterity, bilateral coordination.
Three Important
Questions
1.
Prevalence?
2.
Who are we identifying using the BOMTP-sf
(administered by trained research assistants under
field conditions)?
3.
How stable are the motor assessments over time?
Prevalence
n=111 children (46 males, 65 females)
5.3%
Results of the OT Assessment
21 of 24 (87%) children identified as probable cases of
DCD on the BOTMP-SF scored below the 15th percentile
of the M-ABC, a PPV of 0.88 (95% CI=0.69 to 0.96).
Fifteen of these children (71%) were below the 5th
percentile (PPV= 0.63; 95% CI=0.43 to 0.79).
Two children, both probable cases of DCD, were found to
have scores below 70 on the K-BIT
Cairney J, Hay J, Veldhuizen S, Missiuna C, Faught B. On the validity of using the short form of the
Bruininks-Oseretsky Test of Motor Proficiency to identify Developmental Coordination Disorder.
Child: Care, Health and Development (in press)
Stability of Motor Testing
We retested 77 children drawn from 5
randomly-selected schools
approximately two years after their
original assessment.
Examiners (all new) were blind to the
original results.
The correlation between the two sets
of scores was 0.70 (p<0.001)
Statistical Analysis
Mixed effects models (HLM)
In all models, we tested for:
Main effects for pDCD, gender and time
Interactions between these factors
non-linear effects of time on each outcome
We included random intercepts at the school and
student levels, as well as a random slope for time.
Analysis of the data revealed possible seasonal
effects, so we chose to use an unstructured
covariance matrix.
Relative Weight &
Abdominal Fat
Outcomes:
1)
BMI (kg/m2)
2)
Waist girth (cm)
3)
Overweight/obesity (BMI cut-points derived from
Cole et al. 2000)
Cairney J, Hay J, Veldhuizen S et al. (in press) Trajectories of Relative Weight and Waist
Circumference in Children with and without Developmental Coordination Disorder Canadian
Medical Association Journal
Figure 1. Predicted BMI for children with and without pDCD by
gender.
Figure 2. Predicted waist girth for children with and without pDCD by
gender.
Figure 3. Predicted probability of obesity for males with and
without pDCD.
PHAST II
All children (n=61) screened positive for DCD
and 61 age, sex and school matched
controls selected for further study
Lab based assessment; full clinical
assessment for DCD (intelligence testing,
impairment assessment); cardiovascular
health assessment
In-home interviews conducted with child and
parent (ADHD/ADD, social anxiety, selfesteem, competence)
Discussion
Trajectories suggest that the cross-sectional
differences we have previously observed
between children with pDCD and typicallydeveloping children are maintained, and in
some cases increase, over time (this
developmental period)
Our concern about long-term risk is justified
(things do not appear to be getting better)
The STACK Study
The STACK Study
Screening, Tracking and
Assessing Coordination in Kids
“Examining the co-occurrence of psychological problems in a
population based sample of children with Developmental
Coordination Disorder”
Funded by Canadian Institutes for Health Research (CIHR)
January 2007 - 2009
Objectives
Examine prevalence of depression and social anxiety in children
with DCD, ADHD, DCD&ADHD, compared to controls.
** Screen for DCD and ADHD in a general population sample
**
In the process help promote DCD awareness for teachers,
parents and students and provide educational materials and
recommendations for families.
Design
Two-stage, population-based, crosssectional study
Children in Grades 4-8 recruited from 23
schools in 2 school boards
3151 children (1590 boys, 1561 girls)
screened
OT visits to home to conduct motor
assessments, interview parents and
children
Research Criteria Applied
Assessments
Parent & Child Completed Measures
of Depression and Anxiety
• Children’s Depression Inventory
(CDI)
• Screen for Child Anxiety Related
Emotional Disorders (SCARED)
Results: Description of the
Children
DCD only
DCD/
ADHD
ADHD
only
Typical
68
54
31
91
244
Gender:
Male
56%
65%
87%
51%
60%
Female
44%
35%
13%
49%
40%
IQ
109.81
(14.1)
103.48
(13.12)
103.68
(12.25)
108.01
(12.1)
106.96
(13.1)
11.0 (1.48)
11.6 (1.51)
11.3 (1.49)
11.5 (1.49)
11.4 (1.50)
Children
who met
criteria (N)
Age in
years:
Total
Results: CDI Child and Parent
Total
20
*
18
16
14
12
10
8
*
*
*
*
DCD only
DCD and ADHD
ADHD only
Typically developing
6
4
2
0
CDI Child
CDI Parent
Differs from Typically Developing
*p<0.01
Results: CDI Child by
gender
14
12
**
**
10
8
Males
6
Females
4
2
0
DCD only
DCD and ADHD
Typically
Developing
Differs from Typically Developing
**p<0.001
Children with DCD in
Primary Care Settings
Greater risk of risk for CVD
Inactivity, obesity, other risk markers
Greater risk for emotional/behavioural
problems
Depression, anxiety, low self-esteem
Primary Care
Annual health examinations are ideal
times to screen for DCD.
Parents can be asked to complete a
self-administered questionnaire
E.G., DCDQ http://dcdq.ca/
Primary Care
Physician can conduct a structured
interview, listening for difficulties commonly
associated with DCD.
In addition, the physician can assess the
child using simple screening activities
administered in his or her office
Children with symptoms or signs of a motor
coordination disorder require further
evaluation.
An assessment that takes into
account the differential diagnosis of
DCD is necessary, since DCD is a
diagnosis of exclusion.
New Study
Framed in the context of pediatric obesity &
ParticipACTION
We tested 335 children, randomly drawn from our
PHAST study using two different motor tests
Of the children who scored poor on both tests, 50%
were overweight/obese
Perhaps more importantly, of all the children who were
overweight/obese (85), 40% had poor motor
coordination by one or both tests
When you children in your clinic with weight issues,
are you thinking about diet and physical activity? Are
you asking, what if they can’t be physically active for
reasons related to motor ability?
Importance of Identification
Rule out other medical problems
Successful treatment approaches
involve various allied health
professionals, and the child's parents,
physician and teachers - Goal is
management strategies
Advocacy
CanChild website
(www.canchild.ca)
Provides easy access to
CanChild materials
Receives almost 4,000 visits
per week by users in over
130 countries