Dalal Abdulla, Azhar Khattab and Nader Al Dewik
Qatar
Posters & Accepted Abstracts: J Nurs Care
Introduction: Autism spectrum
disorder (ASD) is a group
of complex brain disorder
affecting social interaction
and communication as well as
limited and repetitive patterns
of behavior, or activities. Most
children with autism may
have poor eye contact, show
repeating a word or abnormal
sensory movement in head,
face and limbs, slow response
to verbal communication, delay
speech and difficulty to shows
there feeling such as sadness,
anger and distress. In addition,
children may have difficulty to
build a relationship with their
peers. The high percentage
of ASD in Qatar is similar to
another country such as the USA.
Several genetic changes have
been found to be implicated
in autism pathogenesis as
these genetic alterations
influence brain development
and communication. Autism
has been also observed in
several syndromes such as
fragile X syndrome, tuberous
sclerosis, Tourette syndrome,
Rett syndrome. On the other
hand, there are several
environmental factors that
may lead to autism such as
progressive parental age during
conception and pregnancy,
maternal prenatal medication
use, bleeding during pregnancy,
maternal gestational diabetes,
cesarean sections, assisted
reproductive technologies,
maternal antibodies, placenta
abnormalities, smoking, alcohol
consumption, endocrine
disruptors and exposure to x-ray
and air pollution.
Problem: Due to the high
prevalence of autism spectrum
disorder (ASD) in Qatar the
proposed study will focus on the
clinical outcomes of maternal,
paternal and infant with the
disorder.
Aim: The aim of the proposal
is to identify the common risk
factors of neurobehavioral
disorders in Qatar.
Research Question: Is autism
spectrum disorder (ASD) in
Qatar mainly due to genetic or
environmental factors?
Materials and Method: The data
will be extracted from the heath
records for each participant.
The participants will be coded
(Numerical) accordingly and
their clinical data and will be
used and stored to protect the
confidentiality of the sample
(Name, Age, Nationality and
Gender). All data will be coded
and no subject identifiers will
be shared outside the research
team at HMC. Data collection
sheets will be stored as soft
copies within password locked
computers at the HMC PIs office.
E-mail: dalsharshani@mail.hbku.edu.qa
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