Brief Report: The Impact of Changing from DSM-IV ‘Asperger’s’ to DSM-5 ‘Autistic Spectrum Disorder’ Diagnostic Labels on Stigma and Treatment Attitudes

2015 ◽  
Vol 45 (10) ◽  
pp. 3384-3389 ◽  
Author(s):  
Jeneva L. Ohan ◽  
Sarah E. Ellefson ◽  
Patrick W. Corrigan
2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Maria Markaki ◽  
Nikoleta Chyta ◽  
Georgia Maggouritsa ◽  
Dimitrios Kokaridas

Co-education of students with Autistic Spectrum Disorder (ASD) during the lesson of Physical Education (PE) in the Greek School constitutes contemporary educational reality. However, its success depends on many factors, with the most important being the effective employment of cooperative physical education methods for students with disabilities or no disabilities. The purpose of this case study was to analyze the impact of a physical education intervention program on the reinforcement of the social interaction of a student with ASD, aged 10, in the ordinary school. The intervention exercise program included the following specific educational approaches and intervention strategies: a) game with the support of an adult (adult support game) b) integrated playgroups with guided involvement (Integrated Play Groups Model) and c) games between peers providing a model to imitate. The duration of the program was eight weeks, with a frequency of three times per week, each lesson of PE (Physical Education) lasting 45 minutes. The data collection tools that were used in the pre-intervention program were the semi-structured interview and the «Autism Social Skills Profile» scale (Bellini & Hopf, 2007), which was adapted in the Greek Language by Syriopoulou- Delli, Agaliotis and Papaefstathiou (2016). It was used before and after the intervention. The results of the research study showed that the student with ASD had positive experiences through his relationship with his classmates, increased his level of participation in the lesson of Physical Education (PE) throughout the implementation of the intervention program, and improved his social reciprocity through interaction and collaboration with his peers, without displaying improper or detrimental social behavior patterns. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0884/a.php" alt="Hit counter" /></p>


2021 ◽  
pp. 67-68
Author(s):  
Silvia Rejane Andrade de Arruda ◽  
Cleison Guimarães Pimentel

The impacts of the diagnosis of Autistic Spectrum Disorder can change the routine of the family as a whole.The aim of this study is to analyze the impacts of the ASD diagnosis on the family's experience. And its specific objectives are: contextualize the diagnosis of ASD and the family; raise changes in the family's routine; know the impacts of the ASD diagnosis on the family nucleus;identify the main ways of coping with common difficulties in prognosis.The procedure was through a bibliographic search of articles published from 2015 to 2020, using the electronic database of articles in the Scientific electronic libraly (SCIELO) and Google Scholar databases, using keywords: diagnosis of autism; family; impacts.The strategies for coping with ASD are due to the set of attitudes and solutions found by the family members of the person with autism,which requires an effort to adapt and deal with adverse and stressful circumstances and impacts that are characteristics of living and care of a person diagnosed with ASD.


2018 ◽  
Vol 15 (2) ◽  
pp. 99
Author(s):  
Oktafian Farhan ◽  
Agus Subekti

Autisme merupakan disabilitas perkembangan yang dialami sepanjang hidup penderita Autistic Spectrum Disorder (ASD). Semakin cepat ditangani, semakin besar kemungkinan anak akan kembali normal. Untuk alasan ini, diperlukan metode baru yang dapat membantu orang tua dengan cepat mengenali gejala autisme pada anak-anak mereka. Dalam studi sebelumnya yang dilakukan oleh Fadi Fayez Tabhtah, suatu data set dihasilkan untuk mendeteksi apakah seorang anak memiliki autisme atau tidak. Tetapi penelitiannya hanya menghasilkan data set, ia tidak memeriksa lebih lanjut dimana algoritma cocok untuk data set yang telah dihasilkan. Atribut data set ternyata memiliki nilai yang salah, yang mengundang pertanyaan tentang keakurasian data. Dalam penelitian ini peneliti menggunakan metode CRISP-DM dan menguji keakuratan data set penelitian sebelumnya menggunakan algoritma C.45. Selanjutnya, aplikasi WEKA menggunakan pemilihan fitur dan pengaruh dari nilai yang salah untuk setiap atribut dan menemukan atribut yang paling signifikan. Atribut-atribut ini kemudian diuji dengan algoritma C.45 sehingga model prediksi dari data set diperoleh. Atribut A6 dari perhitungan pohon keputusan tidak muncul sama sekali sebagai cabang. Sebuah model baru diperoleh di mana atribut A6 dihilangkan, sehingga ketika diukur oleh algoritma C.45, nilai akurasi yang lebih baik diperoleh. Hasil model baru kemudian diuji pada data kuesioner baru, yang menghasilkan prediksi yang tepat.


2016 ◽  
Vol 15 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Sarah A. Khan ◽  
Shahida A. Khan ◽  
A.R. Narendra ◽  
Gohar Mushtaq ◽  
Solafa A. Zahran ◽  
...  

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