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This ethnographic study examines the development of agency in students with special needs during an experiment of classroom music teaching in a special school. The experiment took place from August 2015 to March 2016 and was based on Emile Jaques-Dalcroze's ideas of music and movement as a means of developing competencies, skills and understanding in music and life in general. The lessons included activities, such as quick reaction and follow exercises, singing with movement, body percussion exercises, dancing, movement improvisation, and relaxation exercises. The data consisted of video recordings of the lessons, and interviews with students, teachers, and teaching assistants. The data were analyzed using qualitative analysis software and thematic analysis. The analysis of the ethnographic data of this practitioner research showed that music-and-movement activities support the development of students' agency by fostering (a) students' own decision-making, (b) interaction with others, (c) expression of emotions and initiative, and (d) being recognized by others as active and able musicians. Consequently, this study encourages educators to advocate music and movement as a tool to support individual agency and active participation inside and outside the classroom.

The aim of this study was to investigate several possible factor structures of the Autism Spectrum Screening Questionnaire (ASSQ). We used the 27-item screening tool for school-aged children in a general population of 8-year-old children (n = 3,538) and compared the occurring solutions to previously published factor models. A one-factor solution and a four-factor solution were identified in Exploratory Factor Analysis (EFA) and confirmed with Confirmatory Factor Analysis (CFA), while two-, three-, five- and six-factor solutions were rejected. In CFA, our four-factor solution showed the best goodness-of-fit indexes when compared with factor models previously presented by Posserud et al. and Ehlers et al. The results indicate a strong underlying connection between all ASSQ items which is elicited by the one-factor solution. Although as a screening tool, ASSQ is functioning with the unifactorial solution, the four factors can help to identify certain clusters of autism spectrum traits. [ABSTRACT FROM AUTHOR]

We assessed the validity and determined cut-off scores for the Finnish Autism Spectrum Screening Questionnaire (ASSQ). A population sample of 8-year-old children (n = 4,408) was rated via the ASSQ by parents and/or teachers, and a subgroup of 104 children was examined via structured interview, semi-structured observation, IQ measurement, school observation, and medical records. Autism spectrum disorders (ASDs) were diagnosed following DSM-IV-TR criteria. A search for hospital-registered ASDs was performed. For Finnish higher-functioning primary school-aged, 7- to 12-year-olds, the optimal cut-off score was 30 in clinical settings and 28 in total population screening using summed ASSQ scores of parents' and teachers' ratings. Determining appropriate cut-off scores in ASD screening in different languages and in different cultures is of utmost importance.

Objective: The latest definitions of autism spectrum disorders (ASDs) were specified in "DSM-IV-TR" in 2000. "DSM-5" criteria are planned for 2013. Here, we estimated the prevalence of ASDs and autism according to "DSM-IV-TR," clarified confusion concerning diagnostic criteria, and evaluated "DSM-5" draft criteria for ASD posted by the American Psychiatry Association (APA) in February 2010. Method: This was an epidemiological study of 5,484 eight-year-old children in Finland, 4,422 (81%) of them rated via the Autism Spectrum Screening Questionnaire by parents and/or teachers, and 110 examined by using a structured interview, semi-structured observation, IQ measurement, school-day observation, and patient records. Diagnoses were assigned according to "DSM-IV-TR" criteria and "DSM-5" draft criteria in children with a full-scale IQ (FSIQ) greater than or equal to 50. Patient records were evaluated in children with an FSIQ less than 50 to discover diagnoses of ASDs. Results: The prevalence of ASDs was 8.4 in 1,000 and that of autism 4.1 in 1,000 according to "DSM-IV-TR." Of the subjects with ASDs and autism, 65% and 61% were high-functioning (FSIQ greater than or equal to 70), respectively. The prevalence of pervasive developmental disorder not otherwise specified was not estimated because of inconsistency in "DSM-IV-TR" criteria. "DSM-5" draft criteria were shown to be less sensitive in regard to identification of subjects with ASDs, particularly those with Asperger's syndrome and some high-functioning subjects with autism. Conclusions: "DSM-IV-TR" helps with the definition of ASDs only up to a point. We suggest modifications to five details of "DSM-5" draft criteria posted by the APA in February 2010. Completing revision of "DSM" criteria for ASDs is a challenging task. (Contains 1 figure and 11 tables.)

Objective: This study evaluated the diagnostic process and prevalence rates of Asperger syndrome (AS) according to the DSM-IV, ICD-10, and criteria developed by Gillberg and Gillberg and by Szatmari and colleagues and clarified confusion about AS. Method: An epidemiological study of 5,484 eight-year-old children in Finland, 4,422 (80.6%) of whom rated on the high-functioning Autism Spectrum Screening Questionnaire by parents and/or teacher, 125 of them screened and 110 examined by using structured interview, semistructured observation, IQ measurement, school day observation, and patient records. Diagnoses were performed by following the DSM-IV, ICD-10, and criteria developed by Gillberg and Gillberg and by Szatmari and colleagues in detail. Results: The prevalence rates per 1,000 were 2.5 according to the DSM-IV, 2.9 to ICD-10, 2.7 to Gillberg and Gillberg's criteria, and 1.6 to the criteria of Szatmari et al. Conclusions: The results emphasize the need to reconsider the diagnostic criteria of AS. The importance of multi-informant sources came up, and the need of several informants was highlighted, especially when diagnosing the broader pervasive developmental disorders. (Contains 3 tables and 1 figure.)

A population-based survey was conducted among 152,732 Finnish children and adolescents aged under 16 years and living in northern Finland. Diagnoses and associated medical conditions were derived from the hospital and institutional records of this area. One hundred and eighty-seven children with DSM-IV autistic disorder were identified. Associated medical disorders or associated disorders of known or suspected genetic origin were found in 12.3 percent, including tuberous sclerosis, Down syndrome, fragile X syndrome, Klinefelter syndrome, XYY syndrome, chromosome 17 deletion, chromosome 46, XX, dup(8)(p) and mitochondriopathy. Other associated medical disorders identified were epilepsy, hydrocephalus, foetal alcohol syndrome and cerebral palsy. Hearing impairments were found in 8.6 percent and severe impairment of vision in 3.7 percent of the individuals with autistic disorder. Medical disorders seem to have a special impact on the genesis of autistic disorder and need to be thoroughly examined in each child with autistic disorder.

Childhood autism, Asperger's syndrome and atypical autism together make up autism spectrum disorders (ASDs) with a prevalence of 0.6-0.7%. These disorders are defined by qualitative impairments in social interaction, qualitative abnormalities in communication, and by restricted, stereotyped, repetitive patterns of behaviour, interests and activities. Many children or adolescents with ASDs have sensory abnormalities, neurological disorders and additional disabilities of vision, hearing or ambulation. Psychiatric co-morbidity is common. Diagnostics and rehabilitation are implemented in multi-professional collaboration. Early recognition makes up the basis for early intervention that improves the prognosis. Screening of these disorders in well-baby clinics is being developed.

Objectives: Autism produces characteristic patterns of behaviour, and individuals with autistic disorder (AD) have a lot in common in terms of behaviour and mannerisms. Individuals with autism, however, also have their own overall personalities, which both underlie and interact with their autism. This article focuses on challenges of identifying AD and delivering appropriate services in face of long distances and limited resources., Study Design: This study is a retrospective descriptive chart review and cases series. Hospital records and data on the treatment/habilitation status of 187 children and adolescents with autistic disorder aged 3-18 years were evaluated from Northern Finland., Methods: Nine subjects, representing the age group of 9- to 17-year-olds, did not show any improvement on the Childhood Autism Rating Scale (CARS) and in the clinical examination during the follow-up period 1990--97. In this study, these children and adolescents with AD were evaluated more carefully., Results: The treatment programs and therapies varied, depending on the availability of trained staff. There were various reasons for the absence of the most suitable treatment, or habilitation, at the individual level. The difficulties also varied over time and between individuals. In addition, after the follow-up period, four of the nine (55.6%) individuals showed more positive outcome when the level of autism had been taken into account in the planning of the intervention for, treatment and care of AD., Conclusion: The possible reasons for poor outcome included the level of mental disability, impairments of speech and communication, lack of knowledge of autism at the municipal level, long distance to services, severe epilepsy, additional medical diagnosis, parental acceptance of the child's autism and late start of the intervention for, or habilitation of autism.