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Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
Published on: April 22, 2015
Disturbances and Associated Factors Among Children With Autism Spectrum Disorder: A Cross-Sectional Study
Hussain A Al Ghadeer1, Hussain A Al Ibrahim1, Ahmed S AlKhars2
1Paediatrics, Maternity and Children Hospital, AlAhsa, SAU.
Insights
Sleep disturbances are highly prevalent in children with autism spectrum disorder (ASD), impacting multiple sleep domains. Factors like diagnosis age, autism severity, and parental anxiety predict these sleep issues.
Area of Science:
- Pediatric Neurology
- Developmental Psychology
- Sleep Medicine
Background:
- Sleep disorders are common comorbidities in children with autism spectrum disorder (ASD).
- Sleep disturbances can worsen behavioral symptoms like inattention and irritability in ASD.
- The psychosocial burden of ASD is increased by sleep issues.
Purpose of the Study:
- To investigate the pattern, frequency, and predictors of sleep disturbances in children with ASD.
- To assess sleep patterns in a cohort of children with ASD in Al-Ahsa, Saudi Arabia.
Main Methods:
- A cross-sectional study involving 116 children with ASD.
- Caregiver completion of the validated Children's Sleep Habits Questionnaire (CSHQ).
- Analysis using descriptive statistics, t-tests, ANOVA, and multiple linear regression.
Main Results:
- High prevalence of sleep disturbances indicated by a mean CSHQ score of 76.3±9.3.
- Significant bivariate associations found with age at diagnosis, autism severity, parental anxiety, sleeping arrangements, and medication history.
- Multivariable analysis identified age at diagnosis, autism severity, parental anxiety, and medication history as independent predictors of sleep disturbance.
Conclusions:
- Sleep disturbances are highly prevalent and multifactorial in children with ASD.
- Clinical factors (age at diagnosis, severity) and psychosocial factors (parental anxiety) are key predictors.
- Routine screening, caregiver education, early diagnosis, and integrated interventions are crucial for improving sleep and quality of life.
Abstract:
Introduction Children with autism spectrum disorder (ASD) experience a range of comorbidities, including sleep disorders. Sleep disturbances are more prevalent in this population than in typically developing children and may exacerbate behavioral symptoms such as inattention and irritability, increasing the overall psychosocial burden of ASD. Aim This study assessed the pattern, frequency, and predictors of sleep disturbances among children with ASD in Al-Ahsa, Saudi Arabia. Methods A cross-sectional study was conducted between April 2025 and October 2025 among children diagnosed with ASD at the Child Development Center of Maternity and Children Hospital, Al-Ahsa. Caregivers completed the Children's Sleep Habits Questionnaire (CSHQ), a validated 33-item instrument covering eight sleep domains, with a total score ≥41 indicating clinically significant sleep disturbance. Additional demographic, behavioral, and clinical data were collected. Descriptive statistics, t-tests, one-way ANOVA, and multiple linear regression were used to identify factors associated with sleep disturbance. Results A total of 116 children with ASD were included, with a mean age of 6.2±1.9 years. The mean total CSHQ score was 76.3±9.3, indicating a high burden of sleep disturbances. In bivariate analyses, total CSHQ scores were significantly associated with age at autism diagnosis, autism severity, parental sleep-related anxiety, sleeping arrangement, caffeine intake, and history of sleep medication use. In multivariable linear regression analysis, age at autism diagnosis, autism severity, parental sleep-related anxiety, sleeping arrangement, and prior use of sleep-inducing medications remained independently associated with total sleep disturbance scores, whereas caffeine intake was not retained in the final model. Conclusion Sleep disturbances were highly prevalent among children with ASD, affecting multiple sleep domains and influenced by a combination of clinical and psychosocial factors. Routine sleep screening, caregiver education, early ASD diagnosis, and integrated behavioral and medical interventions are essential to improving sleep and overall quality of life in this population.
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