Trauma-Informed Care in Support of Autism

2022 ◽  
pp. 126-137
Author(s):  
Laura G. Buckner ◽  
Jillian Yarbrough
Keyword(s):  
Autism Spectrum Disorder ◽  
Substance Abuse ◽  
Mental Illness ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Financial Hardship ◽  
Traumatic Experiences ◽  
Behavioral Challenges ◽  
Trauma Informed Care ◽  
Trauma Informed

Research indicates that trauma can intensify autism spectrum disorder symptoms. Autism is a developmental disability that causes significant social, communication, and behavioral challenges. Individuals with autism experience trauma ranging from exclusion to violence. In fact, many research studies indicate that people with autism have higher risks of traumatic experiences such as financial hardship, mental illness, substance abuse, trauma, and separation from their family. The chapter will address why individuals with autism are more likely to experience and struggle from traumas, how isolation can contribute to trauma, the symptoms of trauma in an autistic individual, and how trauma-informed care can help support improvements.

scholarly journals Preconception Risk Factors for Autism Spectrum Disorder—A Pilot Study

2020 ◽  
Vol 10 (5) ◽  
pp. 293
Author(s):  
Hankus Magdalena ◽  
Kazek Beata ◽  
Paprocka Justyna ◽  
Kapinos-Gorczyca Agnieszka ◽  
Magdalena Szczepara-Fabian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Autism Spectrum Disorder ◽  
Mental Illness ◽  
Neurological Diseases ◽  
Neurodevelopmental Disorder ◽  
Potential Effect ◽  
Autism Spectrum ◽  
Oral Contraception ◽  
Spectrum Disorder ◽  
Healthy Children

Autism spectrum disorder (ASD) is a neurodevelopmental disorder of multifactorial etiology. Preconception risk factors are still poorly understood. A survey on preconception risk factors for ASD was conducted among parents of 121 ASD patients aged 3–12 years and parents of 100 healthy children aged 3–12 years. The exclusion criteria were as follows: the presence of associated problems such as intellectual disability, epilepsy or other genetic and neurological diseases. Thirteen parameters were considered, a few among which were conception problems, conception with assisted reproductive techniques, the use and duration of oral contraception, the number of previous pregnancies and miscarriages, time since the previous pregnancy (in months), the history of mental illness in the family (including ASD), other chronic diseases in the mother or father and maternal and paternal treatment in specialist outpatient clinics. Three factors statistically significantly increased the risk of developing ASD: mental illness in the mother/mother’s family (35.54% vs. 16.0%, p = 0.0002), maternal thyroid disease (16.67% vs. 5.0%, p = 0.009) and maternal oral contraception (46.28% vs. 29.0%, p = 0.01). Children of mothers with thyroid disorders or with mental illness in relatives should be closely monitored for ASD. Further studies are warranted to assess a potential effect of oral contraception on the development of offspring.

Validity and reliability of a scale to measure knowledge and attitudes toward child atisum spectrum disorder among child caregivers: a study in northern Vietnam

2020 ◽  
Vol 04 (04) ◽  
pp. 120-129
Author(s):  
Thu Ha Dinh ◽  
◽  
Thanh Thuy Hua ◽  
Thi Hai Ha Le ◽  
Thai Quynh Nguyen ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Communication ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Validity And Reliability ◽  
Cronbach’S Alpha ◽  
Behavioral Challenges ◽  
Cronbach's Alpha ◽  
Knowledge And Attitudes ◽  
Child Caregivers

Autism Spectrum Disorder (ASD) is a range of developmental disabilities, that can cause significant social, communication and behavioral challenges. This study was conducted in 2017 in order to develop and validate a scale to measure knowledge and attitudes toward child autism spectrum disorder among child caregivers. We interviewed 193 child caregivers in 2 northern provinces of Vietnam, namely Hoa Binh and Thai Binh. Exploratory Factor Analysis (EFA) and Cronbach’s alpha coefficient were used to determine validity and reliability of our scale. Findings indicated that our scale on knowledge, including 13 items distributed into 3 factors with relatively good correlation (0.58-0.79), could explain 82.5% of variability of knowledge. The scale on attitudes consisted of 6 questions, explained 52.8% of variability in attitudes and had a good Cronbach’s alpha of 0.76. The results demonstrated that our scale has satisfactory validity and reliability, thus, could be used to measure knowledge and attitudes towards child ASD among child caregivers. Key words: scale, autism spectrum disorder (ASD), validity, reliability, child caregivers, Vietnam

Importance of Trauma-Informed Practice in Evaluation of Children Diagnosed with Autism Spectrum Disorder

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Adam Langenfeld ◽  
Maria Kroupina ◽  
Alyssa Palmer ◽  
Kimara Gustafson ◽  
Marilyn Augustyn
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Trauma Informed ◽  
Trauma Informed Practice

scholarly journals A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder

2021 ◽  
Vol 11 (4) ◽  
pp. 299
Author(s):  
Nadire Cavus ◽  
Abdulmalik A. Lawan ◽  
Zurki Ibrahim ◽  
Abdullahi Dahiru ◽  
Sadiya Tahir ◽  
...  
Keyword(s):  
Machine Learning ◽  
Autism Spectrum Disorder ◽  
Social Communication ◽  
Behavioral Assessment ◽  
Real Life ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Diagnostic Tools ◽  
Diagnostic Systems ◽  
Behavioral Challenges

Autism spectrum disorder (ASD) is associated with significant social, communication, and behavioral challenges. The insufficient number of trained clinicians coupled with limited accessibility to quick and accurate diagnostic tools resulted in overlooking early symptoms of ASD in children around the world. Several studies have utilized behavioral data in developing and evaluating the performance of machine learning (ML) models toward quick and intelligent ASD assessment systems. However, despite the good evaluation metrics achieved by the ML models, there is not enough evidence on the readiness of the models for clinical use. Specifically, none of the existing studies reported the real-life application of the ML-based models. This might be related to numerous challenges associated with the data-centric techniques utilized and their misalignment with the conceptual basis upon which professionals diagnose ASD. The present work systematically reviewed recent articles on the application of ML in the behavioral assessment of ASD, and highlighted common challenges in the studies, and proposed vital considerations for real-life implementation of ML-based ASD screening and diagnostic systems. This review will serve as a guide for researchers, neuropsychiatrists, psychologists, and relevant stakeholders on the advances in ASD screening and diagnosis using ML.

School Counselors’ Roles in Creating and Implementing Social Stories to Serve Students with Autism Spectrum Disorder

2014 ◽  
Vol 18 (1) ◽  
pp. 2156759X0001800
Author(s):  
Emily Goodman-Scott ◽  
Robert Carlisle
Keyword(s):  
Autism Spectrum Disorder ◽  
School Counselors ◽  
School Counselor ◽  
Social Stories ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Behavioral Challenges ◽  
The Social ◽  
Students With Autism

The percentage of students educationally identified with autism spectrum disorder (ASD) is on the rise and school counselors are called to serve this population. Social stories are recommended in the educational literature to address the social and behavioral challenges of students with ASD, but a need exists to examine social stories within the context of school counseling. In this article, the authors provide a case study of a school counselor-facilitated social story using an action research framework in order to illustrate the creation, implementation, and impact of social stories.

Individuals with Developmental Disabilities

2017 ◽  
Author(s):  
Katharine Stratigos ◽  
Nina Tioleco ◽  
Anna Silberman ◽  
Agnes Whitaker
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Autism Spectrum Disorder ◽  
Mental Illness ◽  
Developmental Disabilities ◽  
Social Services ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Federal State ◽  
Care Needs

Persons with developmental disabilities (DD), such as autism spectrum disorder and intellectual disability, are at substantially greater risk of having comorbid mental illness compared to the general population. Their mental health care needs, however, are vastly undertreated. Contributors to this situation include the challenges of evaluating mental illness in individuals with DD; stigma associated with and systematic barriers against people with DD; communication barriers; inadequate training of health care workers; insufficient availability of community mental health services; and the complexity of the available social services and legal systems at the federal, state, and community levels. This chapter uses a case to review the different factors that contribute to irritability and problem behavior in a person who has autism spectrum disorder with intellectual and language impairment. Also reviewed is the complicated system of services and statutes that may be of assistance when working with this population.

scholarly journals Satisfaction and Needs in Serious Mental Illness and Autism Spectrum Disorder: The REHABase Psychosocial Rehabilitation Project

2019 ◽  
Vol 70 (4) ◽  
pp. 316-323 ◽  
Author(s):  
Nicolas Franck ◽  
Laura Bon ◽  
Marie Dekerle ◽  
Julien Plasse ◽  
Catherine Massoubre ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Psychosocial Rehabilitation ◽  
Autism Spectrum ◽  
Spectrum Disorder
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