• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.95-105
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• 2022

Purpose : This study aims to systematically review the methods of occupational therapy intervention in children with autism spectrum disorders having sleep disorders and evaluate the improvements with intervention effects, based on experimental studies of children with sleep disorders. Methods : Studies published overseas from January 2011 to June 2021 were searched from a total of two databases. Science Direct and OTseeker. The five selected studies were analyzed by dividing them into age, number, intervention period, intervention type, intervention effect, evaluation tool, research design type, and evidence level. Results : The total number of subjects was 182, 95 subjects in ther experimental group, and 87 in the control group. The interventions included weighted blankets, swimming, and sleep education for parents. Ther interventions were found to increase total sleep time, improve mood when waking up, reduce sleep anxiety, reduce sleep time, reduce the number of waking up of during sleep, and reduce sleep resistance behavior. Conclusion : Many people have sleep disorders, with or without disabilities, and the number is gradually increasing. Consequently, research on occupational therapy intervention in children with autism spectrum disorder are actively conducted in foreign countries, and these interventions have a positive effect. Based on the results of this study, it can be concluded that such occupational therapy intervention studies are necessary for children with autism spectrum disorder with sleep disorders in Korea. In addition, further research on the quality of life of parents of children with autism spectrum disorders due to sleep disorders and their methods are required.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.221-230
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• 2011

The purpose of this study was to examine validity of the Korean-Child Behavior Checklist: K-CBCL) as measures for emotional and behavioral problems for use with children with autism spectrum disorders. In present study, the factor of the K-CBCL was investigated, using data of 248 children with autism spectrum disorders, with 11.17 mean ages. The two factor model of Internalizing problems (Withdrawn, Somatic Complaints, Anxious/Depressed) and Externalizing problems (Delinquent Behavior, Aggressive Behavior) was investigated by the confirmatory factor analysis. The two factor model of K-CBCL was adequate for children with autism spectrum disorders. The inter-item consistency for the sub-factor of K-CBCL demonstrated on adequate reliability of the measure. Although the inter-item consistency of Withdraw, Social problems, Delinquent Behavior was not acceptable, the inter-item consistency of Internalizing, Externalizing and total problems were good. This results supported validity and reliability and suggested that K-CBCL is used to assess for emotional and behavioral problems in children with autism spectrum disorders.

• Clinical and Experimental Pediatrics
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• v.62 no.11
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• pp.405-409
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• 2019

A structured review study of drug interventions on sleep disorders in patients with autism spectrum disorders (ASD) has not been published to date. This systematic review aimed to investigate drug interventions for the treatment of sleep disorders in children with ASD. The Web of Science, PubMed, and Scopus databases were searched until March 2019. Study quality was assessed using the Delphi checklist. Due to the heterogeneity of the findings, a meta-analysis was not possible. Drug interventions for the treatment of sleep disorders in patients with ASD included melatonin, atomoxetine, and risperidone. Atomoxetine had no effect on sleep disorders in patients with ASD. A total of 10 studies were reviewed. Melatonin appears to be useful for the treatment of sleep problems in patients with ASD, but further studies are needed to determine the effects of other drugs.

• Clinical and Experimental Pediatrics
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• v.63 no.1
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• pp.8-13
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• 2020

Autism spectrum disorder is a common neurodevelopmental disorder with an unknown etiology. The correlation between neonatal jaundice and the risk of developing autism spectrum disorder was investigated previously. Some studies showed significant associations, whereas others demonstrated no association. In this meta-analysis, we pooled the results of observational studies to examine the association between neonatal jaundice and the risk of autism spectrum disorder among children. We identified all studies published through April 2018 by conducting a literature search using Web of Science, PubMed, and Scopus databases as well as the reference lists of the retrieved studies. The pooled odds ratios (ORs), rate ratio (RR), and their 95% confidence intervals (CIs) were calculated as random effect estimates of association among studies. We conducted a subgroup analysis to explore any potential sources of intergroup heterogeneity. The pooled estimates of OR and RR showed a considerable correlation between neonatal jaundice and ASD among children (OR, 1.35; 95% CI, 1.02-1.68) and (RR, 1.39; 95% CI, 1.05-1.74). A larger effect size was shown in the pooled estimated crude OR than in the adjusted OR (1.75 [0.96-2.54] vs. 1.19 [1.07-1.30]). This study showed that neonatal jaundice may be associated with ASD and may increase the risk of ASD among children.

• Clinical and Experimental Pediatrics
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• v.62 no.4
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• pp.126-130
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• 2019

Purpose: In this meta-analysis, relevant case-control and cohort studies were pooled to evaluate the association between preeclampsia and the risk of autism spectrum disorders (ASDs) in children. Methods: A search for relevant studies in major databases, including Web of Science, PubMed, and Scopus, was performed up to May 2018. The odds ratios (ORs) or rate ratios (RRs) with 95% confidence intervals (CIs) were extracted from eligible studies to determine the association among studies. Results: The pooled estimates of ORs and RRs indicated a significant association between preeclampsia and ASD [(OR, 1.36; 95% CI, 1.12-1.60) and (RR, 1.30; 95% CI, 1.20-1.41)]. Conclusions: Despite existing controversy, our findings indicated that preeclampsia was associated with an increased risk of ASD among children.

• Clinical and Experimental Pediatrics
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• v.63 no.9
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• pp.368-372
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• 2020

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder defined by impairments in social interaction and verbal and nonverbal communication. Purpose: Determine the association between use of assisted reproduction technology (ART) and the risk of ASD among children. Methods: This case-control study included 300 participants (100 cases, 200 controls). The control group included women with a child aged 2-10 years without ASD, while the cases were women with a child aged 2-10 years with ASD. We used a researcher-made questionnaire. Data were analyzed using Stata ver. 14 at the 0.05 significance level. Results: In the univariate analysis, there was significant association between child sex, delivery mode, history of preterm delivery, history of using ART, and maternal age at child's birth and the risk of ASD. After the adjustment for other variables, this association was significant for male sex (2.66; 95% confidence interval [CI], 1.11-4.31; P=0.001) and history of using ART (4.03; 95% CI, 1.76-9.21; P=0.001). Therefore, after the adjustment for confounder variables, there was no significant association between ART and the risk of ASD among children (4.98; 95% CI, 0.91-27.30; P=0.065). Conclusion: After the adjustment for other variables, risk factors for ASD were male sex and history preterm delivery. Thus, there was no significant association between ART and the risk of ASD among children.

• ETRI Journal
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• v.44 no.4
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• pp.613-623
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• 2022

Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and neurobehavioral disorders. It affects the person's behavior and performance. Autism affects verbal and non-verbal communication in social interactions. Early screening and diagnosis of ASD are essential and helpful for early educational planning and treatment, the provision of family support, and for providing appropriate medical support for the child on time. Thus, developing automated methods for diagnosing ASD is becoming an essential need. Herein, we investigate using various machine learning methods to build predictive models for diagnosing ASD in children using facial images. To achieve this, we used an autistic children dataset containing 2936 facial images of children with autism and typical children. In application, we used classical machine learning methods, such as support vector machine and random forest. In addition to using deep-learning methods, we used a state-of-the-art method, that is, automated machine learning (AutoML). We compared the results obtained from the existing techniques. Consequently, we obtained that AutoML achieved the highest performance of approximately 96% accuracy via the Hyperpot and tree-based pipeline optimization tool optimization. Furthermore, AutoML methods enabled us to easily find the best parameter settings without any human efforts for feature engineering.

• Therapeutic Science for Rehabilitation
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• v.10 no.4
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• pp.7-24
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• 2021

Objective : This study examined the characteristics of the literature involving a single-subject research design among positive behavior support intervention studies to improve problem behavior in children with autism spectrum disorders and assess the quality level. Methods : This is a literature study, and the targets of analysis were nine single-subject research papers published between 2011 and 2020. The subject papers were analyzed by dividing them into general characteristics and the qualitative levels according to the content of the research method. Results : Analysis of analyzing the contents of the study showed that the subjects were preschool and elementary school-age children at the same ratio. Furthermore, the study design involved mostly the middle and multiple baseline designs among the behaviors. All papers presented social validity, intervention fidelity, and observer reliability. Problem behaviors included self-injury and aggression behaviors, disturbing behaviors, and seat break-away behaviors, while the most dependent variables were measured through partial interval recording. As a result of confirming the intervention effect, the effect was confirmed in intervention, maintenance, and generalization. All analysis studies showed high-quality levels. Conclusion : This study confirmed the content and qualitative level of the thesis that applied the single-subject research design among positive behavior support intervention studies for problem behaviors of children with autism spectrum disorders. Positive behavior support intervention, an evidence-based intervention for children with autism spectrum disorders, was confirmed an effective intervention for autism spectrum disorders.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.2
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• pp.129-135
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• 2015

Objectives : In children and adolescents, the prevalence of overweight has increased in the last 20 years. little research is available on the prevalence of obesity in children with autism spectrum disorders(ASD). The purpose of our study was to determine the prevalence of overweight among a clinical population of children diagnosed with autism spectrum disorders(ASD). Methods : Retrospective chart review of children ages 3-18 years seen between 2012 and 2015 at a Konyang University hospital psychiatric clinic. Diagnostic, medical, and demographic information was extracted from the charts. Body mass index(BMI) was calculated from measures of height and weight recorded in the child's chart. The Center for Disease Control's BMI growth reference was used to determine an age and gender-specific BMI z-score for the children. Results : In our study, children with ASD compared to non ASD group had significantly higher BMI percentiles (p=0.032). The prevalence of overweight($BMI{\geq}85th$ to 95th percentiles) and obesity($BMI{\geq}95th$ percentiles) was 35% and 19% respectively in children with ASD and without ASD. Conclusions : Despite noted limitations, our data suggest that overweight and obesity in children with ASD are more prevalent than without ASD. Longitudinal and further study is needed to examine the factors associated with obesity in this population.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.6 no.1
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• pp.1-9
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• 2010