• 수면정신생리
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• 제20권2호
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• pp.53-58
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• 2013

Autism Spectrum Disorder (ASD) is characterized by persistent deficits in social communication and restricted, repetitive patterns of behavior and interest. Sleep problems are not uncommon in children with autism spectrum disorders. Symptoms of insomnia are the most frequent sleep problems in individuals with ASD. Sleep problems can cause significant difficulties in the daily life of children with ASD and their families. Genetic factor, deregulations of melatonin synthesis, extraneous environmental stimuli and psychiatric and medical conditions may cause sleep problems. The first line treatment of sleep problems in ASD includes managements for potential contributing factors and parent education about sleep hygiene care for child and behavioral therapy. Supplementation with melatonin may be effective before considering other medications, such as risperidone, clonidine, and mirtazapine.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제5권1호
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• pp.41-53
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• 1994

1944년 Hans Asperger는 아동기에 사회적인 고립과 특이한 행동 양식을 보이는 400명의 증례를 보고하고 자폐적 병질(autistic psychopathy)이라 명명하였는데 이 아동들은 1943년 Kanner에 의하여 기술된 자폐 아동들과 여러 가지면에서 유사하였으나 임상적인 관찰에서 몇몇 현저한 차이를 나타냈다. 가장 주목할 만한 것은 정상 언어 발달과 지능 수준의 차이를 들 수 있다. 이후에 이들은 Asperger's syndrome([CD-10) 혹은 Asperger's disorder(DSM-IV)로 명명되었는데 이들은 자폐증과 연속선상에 있는 높은 기능 수행을 보이는 경한 형태의 발달장애로 보는 시각, 아동기 인격 장애의 특수한 형태로 보는 시각, 혹은 성인 정신분열증의 초기 아동기 행태로 보는 시각등이 있는데, 모두 그들 나름대로 연구 방법의 타당성과 결과 해석의 문제점을 안고 있다. ICD-10(1992)과 DSM-IV(1994)에서 전반적 발달 장애의 영역내에 새로이 독립된 진단 체계로써 확고히 자리한 지금에 와서도 이들 질환과 완전히 분리된 개념으로 간주하기에는 미흡한 실정이다. 저자는 이 질환의 현재 개념에 이르기까지의 역사적 고찰과 더불어 독립된 질환이냐의 논의점과 최근 연구 경향에 대해 문헌 고찰을 하였으며 이 증후군이 큰 맥락에서 사회적 본능(social instinct)에 결함이 있는 장애라는 견지에서 연계 질환들과의 관계를 도식적으로 요약해 보았다.

• Child Health Nursing Research
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• 제24권3호
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• pp.337-344
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• 2018

Purpose: The purpose of this study is to examine the association between each phase of the Life Transition Process (LTP) and depressive symptoms among parents of children with Autism Spectrum Disorder (ASD). Methods: Using a cross-sectional study design, data pertaining to LTP and depressive symptoms were collected from 285 parents of children with ASD (101 fathers and 184 mothers). Participants were recruited through the Autism Society of Korea and a counseling center for families of children with ASD. Results: Using a cut-off point of 5 or higher on the Beck Depression Inventory-Short Form, more than half of the parents (53.4%) were deemed depressed; these parents experienced moderate (27.4%) to severe (11.6%) levels of depressive symptoms. A hierarchical multiple regression using the socio-demographic characteristics of children and parents and each phase of the LTP as predictors, found that lower income (${\beta}=-.14$, p=.007) and greater scores for the wandering phase (${\beta}=.59$, p<.001) were significant predictors of greater levels of depressive symptoms. Conclusion: These findings confirm the association between LTP and depressive symptoms for parents of children with ASD, who were found to have a greater risk of depressive symptoms during wandering phase.

• 한국식생활문화학회지
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• 제36권1호
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• pp.40-55
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• 2021

The purpose of this study was to provide basic information on the development of nutrition education programs to improve the mealtime behavior of children with autism spectrum disorder (ASD) by investigating the mealtime behavior and food preferences of children with ASD through the perception of special education teachers. Surveys were given to 108 special education teachers in special education schools in Korea regarding the demographic characteristics, nutrition education support needs, mealtime behavior, and food preferences of children with ASD. Most of the special education teachers responded that nutrition education in special schools had not been conducted properly and nutrition education for ASD children is necessary. Mealtime behavior analysis classified the behavior into three clusters: cluster 1, 'less problematic mealtime behavior'; cluster 2, 'general feature of autism'; cluster 3, 'difficulty in self-directed diet'. The age, eating habits, and food preferences were different according to each mealtime behavior cluster. Therefore, it will be necessary to develop a nutrition education program based on the characteristics of mealtime behavior.

• Clinical and Experimental Pediatrics
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• 제65권3호
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• pp.131-135
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• 2022

Purpose: There is inconsistent evidence about the association between fetal nuchal cord and the risk of autism spectrum disorder (ASD). We performed a meta-analysis to investigate whether fetal nuchal cord is associated with an increased risk of ASD in offspring. Methods: Three main English databases were searched until January 2021. The Newcastle-Ottawa Scale was used to assess study quality. Study heterogeneity was determined using the I 2 statistic, while publication bias was assessed using Begg and Egger tests. Results are presented as odds ratios (ORs) and relative ratios with 95% confidence intervals (CI) and were determined by a random-effects model. Results: Five articles (1 cohort, 4 case-control; 3,088 total children) were included in the present meta-analysis. Fetal nuchal cord was not a risk factor for ASD (OR, 1.11; 95% CI, 0.66-1.57). There was homogeneity among studies that reported a risk of ASD (I²=0.0%). Conclusion: Our results showed that fetal nuchal cord is not a risk factor for ASD. Future large cohort studies should confirm this finding.

• 대한감각통합치료학회지
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• 제20권3호
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• pp.48-59
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• 2022

목적 : 본 연구는 자폐스펙트럼장애 아동을 대상으로 국내에서 제공되는 감각통합중재 방법을 체계적으로 고찰하여 중재효과를 제시하고자 하였다. 연구방법 : 연구대상은 2011년 1월부터 2020년 12월까지 최근 10년간 국내 학회지에 게재된 연구로 하였다. 검색에 사용된 데이터베이스는 학술연구정보서비스(RISS)와 디비피아(DBpia)이었다. 검색어는 '자폐', '자폐스펙트럼', '감각통합', '중재'이었다. 분석에 사용된 연구는 총 10개로, 연구 근거의 질적수준과 방법론적 질적수준으로 분석하였고, 결과는 대상자, 중재, 대조, 결과의 PICO(Patient, Intervention, Comparison, Outcome)로 제시하였다. 결과 : 연구분석에서 근거의 질적 수준은 수준 IV가 가장 높았고, 다음으로 수준 II 이었다. 근거의 방법론적 질적 수준은 '우수'의 연구가 가장 많았고, 다음으로는 '보통'이었다. 연구대상자는 자폐스펙트럼장애아동과 부모이었고, 실험설계는 단일대상연구 빈도가 가장 높았다. 중재는 적응행동과 감각조절을 확인하는 연구가 가장 많았고, 중재측정을 위해 사용된 평가도구는 감각프로파일(Sensory Profile)과 캐나다작업수행측정(Canadian Occupational Performance Measure; COPM)의 빈도가 가장 높았다. 분석에 사용된 10개의 모든 연구에서 감각통합중재로 인해 다양한 결과 값에 긍정적인 향상 및 통계학적으로 유의한 효과를 보였다. 결론 : 최근의 임상환경에서 자폐스펙트럼장애 아동을 대상으로 감각통합중재는 지속적으로 이루어져왔다. 앞으로의 연구에서는 다양한 감각통합중재방법과 근거의 질적 수준이 높은 연구가 이루어지는 것이 필요하다.

• Clinical and Experimental Pediatrics
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• 제63권9호
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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.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제31권3호
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• pp.105-120
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• 2020

Although autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social impairments, patients with ASD frequently manifest atypical sensory behaviors. Recently, atypical sensory perception in ASD has received much attention, yet little is known about its cause or neurobiology. Herein, we review the findings from neuroimaging studies related to visual perception in ASD. Specifically, we examined the neural underpinnings of visual detection, motion perception, and face processing in ASD. Results from neuroimaging studies indicate that atypical visual perception in ASD may be influenced by attention or higher order cognitive mechanisms, and atypical face perception may be affected by disrupted social brain network. However, there is considerable evidence for atypical early visual processing in ASD. It is likely that visual perceptual abnormalities are independent of deficits of social functions or cognition. Importantly, atypical visual perception in ASD may enhance difficulties in dealing with complex and subtle social stimuli, or improve outstanding abilities in certain fields in individuals with Savant syndrome. Thus, future research is required to elucidate the characteristics and neurobiology of autistic visual perception to effectively apply these findings in the interventions of ASD.

• 말소리와 음성과학
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• 제15권2호
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• pp.53-59
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• 2023

Detection of children with autism spectrum disorder (ASD) based on speech has relied on predefined feature sets due to their ease of use and the capabilities of speech analysis. However, clinical impressions may not be adequately captured due to the broad range and the large number of features included. This paper demonstrates that the knowledge-driven speech features (KDSFs) specifically tailored to the speech traits of ASD are more effective and efficient for detecting speech of ASD children from that of children with typical development (TD) than a predefined feature set, extended Geneva Minimalistic Acoustic Standard Parameter Set (eGeMAPS). The KDSFs encompass various speech characteristics related to frequency, voice quality, speech rate, and spectral features, that have been identified as corresponding to certain of their distinctive attributes of them. The speech dataset used for the experiments consists of 63 ASD children and 9 TD children. To alleviate the imbalance in the number of training utterances, a data augmentation technique was applied to TD children's utterances. The support vector machine (SVM) classifier trained with the KDSFs achieved an accuracy of 91.25%, surpassing the 88.08% obtained using the predefined set. This result underscores the importance of incorporating domain knowledge in the development of speech technologies for individuals with disorders.

• ETRI Journal
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• 제44권4호
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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.