Autistic spectrum disorder and offending behaviour – a brief review of the literature

2018 ◽  
Vol 4 (3) ◽  
pp. 109-121 ◽  
Author(s):  
Salma Ali
Keyword(s):  
Treatment Outcomes ◽  
Staff Training ◽  
Design Methodology ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Effective Management ◽  
Autistic Spectrum ◽  
Content Type ◽  
Underdeveloped Area ◽  
Offending Behaviour

Purpose The purpose of this paper to synthesise much of the existing research on autistic spectrum disorder (ASD) and offending behaviour. Design/methodology/approach It considers three key areas, namely, first, a discussion about the nature of ASD and how it might be related to offending behaviour; second, a brief commentary about the prevalence of this population; and, finally, an exploration of the effective management and possible treatment outcomes. Findings Methodological limitations have resulted in variable findings which has hindered our understanding of this population. Some of the research is based on small, highly specialist samples making prevalence difficult to measure. The link between ASD and offending is still not well understood, and despite advances in staff training, awareness amongst practitioners remains an underdeveloped area, thus yielding variable treatment outcomes. Originality/value This review continues to demonstrate the urgent need for robust research in order to better understand the link between ASD and offending behaviour, to provide tailored, needs-led interventions, and reduce the risk of offending amongst this group as a whole.

scholarly journals Teachers’ perspectives on handwriting and collaborative intervention for children with Autistic Spectrum Disorder

2018 ◽  
Vol 46 (1) ◽  
pp. 46-58
Author(s):  
Therese McNamee ◽  
Sandra Patton
Keyword(s):  
Occupational Therapy ◽  
Emergent Literacy ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Limited Information ◽  
Occupational Therapy Education ◽  
Autistic Spectrum ◽  
Content Type ◽  
Children With Asd ◽  
The Republic

Purpose This study aims to investigate teacher perspectives on teaching handwriting to children with autistic spectrum disorder (ASD) and collaboration with occupational therapists. Design/methodology/approach A descriptive design was applied. Purpose-designed surveys were distributed to teachers of children with ASD (aged 4-12 years) in the Republic of Ireland. A response rate of 35 per cent (N = 75) was obtained, with 25 responses analysed using descriptive statistics of closed questions and content analysis of open-ended questions. Findings Of 139 children with ASD, 80 (58 per cent) were reported to have difficulties with handwriting. Teachers reported specific difficulties with pencil grasp, letter formation and task concept among the children with ASD. Fourteen (56 per cent, N = 25) respondents did not give handwriting as homework. Teachers valued occupational therapy advice, individualised programmes and ongoing consultation during implementation. Interest in occupational therapy education regarding handwriting was reported. Practical implications Occupational therapy collaboration to address handwriting difficulties for children with ASD should include involvement in teacher education, coordination of teacher–parent collaboration and the need for involvement in early intervention provision within an emergent literacy framework. Originality/value Handwriting development is challenging for children with ASD. There is limited information on teaching or teacher–occupational therapy collaborative practices to address handwriting difficulties of children with ASD.

Young people with learning disabilities or autistic spectrum disorder in post-compulsory state supported schools in England

2015 ◽  
Vol 20 (3) ◽  
pp. 170-174
Author(s):  
Chris Hatton ◽  
Gyles Glover
Keyword(s):  
Learning Disabilities ◽  
Young People ◽  
Autistic Spectrum Disorder ◽  
Early Years ◽  
Spectrum Disorder ◽  
State School ◽  
Autistic Spectrum ◽  
Regional Variations ◽  
Content Type ◽  
State Education

Purpose – Transition from education to adult life is a stated policy aim for young people with learning disabilities. The purpose of this paper is to examine the extent to which 16-18-year olds with learning disabilities or autistic spectrum disorder are remaining in state school education beyond the minimum school leaving age. Design/methodology/approach – A tabulation from the Department for Education Children and Early Years Data Unit for 2014, combined with School Census data and age-specific population estimates, allowed us to compare the rates of children identified as having moderate, severe or profound/multiple learning difficulties (MLD, SLD, PMLD), or autistic spectrum disorder (ASD) in state education at the ages of 16-18 years vs five to 15 years. Findings – For all types of need analysed in the paper, the rate of children in state school dropped considerably at the ages of 16-18 years: 10 per cent of the rates of children with MLD, 62 per cent of children with SLD, 49 per cent of children with PMLD and 23 per cent of children with ASD at ages five to 15 years were in state education at ages 16-18 years. Almost all young people aged 16-18 years in state education with SLD or PMLD were in special schools, compared to just over half of young people with MLD or ASD. For all these figures, there was considerable regional variation. Social implications – Substantial numbers of children with learning disabilities or ASD do not remain in post-16 state education, with wide regional variations that do not seem to correspond to regional variations in need or national policy concerning transition. Originality/value – This is the first data set to examine this issue.

scholarly journals Development of clinical prediction rule for diagnosis of autistic spectrum disorder in children

2020 ◽  
Vol 12 (1) ◽  
pp. 7-16
Author(s):  
Tiraya Lerthattasilp ◽  
Chamnan Tanprasertkul ◽  
Issarapa Chunsuwan
Keyword(s):  
Autistic Spectrum Disorder ◽  
Multivariate Logistic Regression Analysis ◽  
Prediction Rule ◽  
Clinical Prediction Rule ◽  
Spectrum Disorder ◽  
Diagnostic Tools ◽  
Clinical Prediction ◽  
Autistic Spectrum ◽  
Content Type ◽  
History Of

Purpose This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children. Design/methodology/approach This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model. Findings An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62. Originality/value This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice.

PERMODELAN PREDIKTIF AUTISTIC SPECTRUM DISORDER DENGAN ALGORITMA C.45

2018 ◽  
Vol 15 (2) ◽  
pp. 99
Author(s):  
Oktafian Farhan ◽  
Agus Subekti
Keyword(s):  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Data Set ◽  
Autistic Spectrum

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.

Alzheimer's Disease and Autistic Spectrum Disorder: Is there any Association?

2016 ◽  
Vol 15 (4) ◽  
pp. 390-402 ◽  
Author(s):  
Sarah A. Khan ◽  
Shahida A. Khan ◽  
A.R. Narendra ◽  
Gohar Mushtaq ◽  
Solafa A. Zahran ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum

scholarly journals Quality of Life in Caregivers of Children and Adolescents with Autistic Spectrum Disorder: Development and Validation of the Questionnaire

2021 ◽  
Vol 11 (7) ◽  
pp. 924
Author(s):  
Claudia B. Pratesi ◽  
Alessandra Baeza Garcia ◽  
Riccardo Pratesi ◽  
Lenora Gandolfi ◽  
Mariana Hecht ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Health ◽  
Children And Adolescents ◽  
Internal Consistency ◽  
Autistic Spectrum Disorder ◽  
Spectrum Disorder ◽  
Autistic Spectrum ◽  
The Social ◽  
Health Domains

Studies have shown that children and adolescents with autism and their relatives present a high level of stress and more family problems, impacting parents’ and caregivers’ quality of life (QoL). Despite studies on this subject, there is no specific questionnaire to evaluate QoL in parents or caregivers of children and adolescents with an autistic spectrum disorder (ASD) in Brazil. Therefore, this study’s primary purpose was to develop and validate a specific questionnaire to evaluate QoL in these individuals. The study was performed using the following steps: development of the ASD Parent/caregiver QoL questionnaire (autistic spectrum disorder parent/caregiver quality of life—ASDPC-QoL), subjective evaluation, validation of the questionnaire by the Delphi method, assessment of internal consistency, responsiveness, and reliability of the ASLPC-QoL, and administration of the questionnaire to 881 Brazilian ASD caregivers or parents. ASDPC-QoL comprises 28 questions divided into four domains (social, concerns, physical and mental health) with good psychometric properties (reproducibility, reliability, internal consistency, responsiveness, and validity). Our data showed that worries and physical health were the domains with the lowest scores in ASDPCA-QoL. ASDPCA-QoL did not differ among gender and age of child considering the total and all domains. Older participants (≥41 y/o) presented the best scores for social and worries domains but did not differ in other domains and the total. Parents or caregivers of ASD children diagnosed for more than three years have better mental and physical health domains than those recently diagnosed (up to 1 year) but did not differ in the total and other domains. Individuals with a partner and with the highest educational level present the best score for the social domain. Employed individuals showed better scores than unemployed ones for all domains and the total, except for worries, which did not differ. It also occurred comparing the individuals that do not use antidepressants and the ones that use them. Assessing and better understanding the QoL of caregivers is highly relevant. By understanding the social, worries, physical, and emotional health domains of caregivers, it is possible to track harmful aspects, prevent and treat pathologies, in addition to assisting in the implementation of effective public policies.

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