146 resultados para autism spectrum disorders


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We examined the efficacy of cognitive behavioural therapy (CBT) delivered in groups on the reduction of symptoms of depression, anxiety and stress in young people on the autism spectrum. Utilising a quasi-experimental design, comparisons were made between individuals allocated to a group intervention program and individuals allocated to a waitlist. Following the intervention program, participants who were initially symptomatic reported significantly lower depression and stress scores on the Depression Anxiety Stress Scales in comparison to individuals on the waitlist. There was no significant change in anxiety related symptoms. The benefits were maintained at 3 and 9 month follow-up. Our findings demonstrate the potential of CBT in a small group setting for assisting young people with ASD who have symptoms of depression and stress.

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OBJECTIVE: We explored the relationship between accidental injuries, motor impairment, and co-occurring autism spectrum disorder (ASD) symptoms in children with ADHD-combined type (ADHD-CT).

METHOD: Participants were 32 male children diagnosed with ADHD-CT and 23 typically developing male children (7-12 years, full scale IQ [FSIQ] > 80). Parents completed a customized questionnaire on the occurrence of accidental injuries (e.g., bruises, cuts) their child experienced in the past 12 months. Motor proficiency was assessed using the Movement ABC-2 (MABC-2). Parents rated motor, ADHD-CT, ASD, and anxiety symptoms.

RESULTS: Children with ADHD-CT had significantly increased parent-reported accidental injuries compared with typically developing children. Among children with ADHD-CT, Spearman's rho rank correlations revealed no association between increased accidental injuries and MABC-2 score, but significant associations with increased hyperactivity/impulsivity, ASD, and anxiety symptoms.

CONCLUSION: Although these findings require validation, they suggest a need for further research investigating the contribution of co-occurring ASD and anxiety symptoms to accidental injuries in children with ADHD-CT.

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Relationships between gastrointestinal viscera and human emotions have been documented by virtually all medical traditions known to date. The focus on this relationship has waxed and waned through the centuries, with noted surges in interest driven by cultural forces. Here we explore some of this history and the emerging trends in experimental and clinical research. In particular, we pay specific attention to how the hygiene hypothesis and emerging research on traditional dietary patterns has helped re-ignite interest in the use of microbes to support mental health. At present, the application of microbes and their structural parts as a means to positively influence mental health is an area filled with promise. However, there are many limitations within this new paradigm shift in neuropsychiatry. Impediments that could block translation of encouraging experimental studies include environmental forces that work toward dysbiosis, perhaps none more important than westernized dietary patterns. On the other hand, it is likely that specific dietary choices may amplify the value of future microbial-based therapeutics. Pre-clinical and clinical research involving microbiota and allergic disorders has predated recent work in psychiatry, an early start that provides valuable lessons. The microbiome is intimately connected to diet, nutrition, and other lifestyle variables; microbial-based psychopharmacology will need to consider this contextual application, otherwise the ceiling of clinical expectations will likely need to be lowered.

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Two recent studies, from France (Nataf et al., 200614. Nataf, R., Skorupka, C., Amet, L., Lam, A., Springbett, A. and Lathe, R. 2006. Porphyrinuria in childhood autistic disorder: Implications for environmental toxicity. Toxicol. Appl. Pharmacol., 214: 99–108. [CrossRef], [PubMed], [Web of Science ®] View all references) and the United States (Geier & Geier, 20079. Geier, D. A. and Geier, M. R. 2007. A prospective study of mercury toxicity biomarkers in autistic spectrum disorders. J. Toxicol. Environ. Health, A, 70: 1723–1730. [Taylor & Francis Online], [PubMed], [Web of Science ®] View all references), identified atypical urinary porphyrin profiles in children with an autism spectrum disorder (ASD). These profiles serve as an indirect measure of environmental toxicity generally, and mercury (Hg) toxicity specifically, with the latter being a variable proposed as a causal mechanism of ASD (Bernard et al., 20012. Bernard, S., Enayati, A., Redwood, L., Roger, H. and Binstock, T. 2001. Autism: A novel form of mercury poisoning. Med. Hypoth., 56: 462–471. [CrossRef], [PubMed], [Web of Science ®] View all references; Mutter et al., 200515. Mutter, J., Naumann, J., Schneider, R., Walach, H. and Haley, B. 2005. Mercury and autism: Accelerating evidence?. Neuroendocrinol. Lett., 26: 439–446. [PubMed], [Web of Science ®] View all references). To examine whether this phenomenon occurred in a sample of Australian children with ASD, an analysis of urinary porphyrin profiles was conducted. A consistent trend in abnormal porphyrin levels was evidenced when data was compared with those previously reported in the literature. The results are suggestive of environmental toxic exposure impairing heme synthesis. Three independent studies from three continents have now demonstrated that porphyrinuria is concomitant with ASD, and that Hg may be a likely xenobiotic to produce porphyrin profiles of this nature.

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This study aimed to (1) determine preliminary validity of the Developmental Behaviour Checklist-Hyperactivity Index (DBC-HI) as a screening measure of combined-type ADHD in autism and ADHD, and (2) compare emotional-behavioural disturbance using the DBC in autism, ADHD and autism + ADHD. Forty-nine age- and PIQ-matched young people [6-18 years; 12 autism, 13 ADHD, 12 autism + ADHD, 12 typically developing] were recruited. Parents completed the Conners-Revised Rating Scale and DBC. The DBC-HI displayed strong internal consistency and good external validity, reliably measuring combined-type ADHD. The DBC-HI distinguished autism from autism + ADHD with fair sensitivity and specificity. Individuals with autism + ADHD exhibited a more severe profile of emotional-behavioural disturbance than autism or ADHD alone. The DBC may be a useful 'all-in-one' screening tool to (1) identify comorbidity and (2) determine the severity of emotional-behavioural disturbance in autism and/or ADHD. © 2014 Elsevier Ltd.

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Online communities offer a platform to support and discuss health issues. They provide a more accessible way to bring people of the same concerns or interests. This paper aims to study the characteristics of online autism communities (called Clinical) in comparison with other online communities (called Control) using data from 110 Live Journal weblog communities. Using machine learning techniques, we comprehensively analyze these online autism communities. We study three key aspects expressed in the blog posts made by members of the communities: sentiment, topics and language style. Sentiment analysis shows that the sentiment of the clinical group has lower valence, indicative of poorer moods than people in control. Topics and language styles are shown to be good predictors of autism posts. The result shows the potential of social media in medical studies for a broad range of purposes such as screening, monitoring and subsequently providing supports for online communities of individuals with special needs.

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The Internet has provided an ever increasingly popular platform for individuals to voice their thoughts, and like-minded people to share stories. This unintentionally leaves characteristics of individuals and communities, which are often difficult to be collected in traditional studies. Individuals with autism are such a case, in which the Internet could facilitate even more communication given its social-spatial distance being a characteristic preference for individuals with autism. Previous studies examined the traces left in the posts of online autism communities (Autism) in comparison with other online communities (Control). This work further investigates these online populations through the contents of not only their posts but also their comments. We first compare the Autism and Control blogs based on three features: topics, language styles and affective information. The autism groups are then further examined, based on the same three features, by looking at their personal (Personal) and community (Community) blogs separately. Machine learning and statistical methods are used to discriminate blog contents in both cases. All three features are found to be significantly different between Autism and Control, and between autism Personal and Community. These features also show good indicative power in prediction of autism blogs in both personal and community settings.

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AIM: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with reported prevalence of more than 1/100. In Australia, paediatricians are often involved in diagnosing ASD and providing long-term management. However, it is not known how paediatricians diagnose ASD. This study aimed to investigate whether the way Australian paediatricians diagnose ASD is in line with current recommendations. METHODS: Members of the Australian Paediatric Research Network were invited to answer questions about their ASD diagnostic practice in a multi-topic survey and also as part of a study about parents needs around the time of a diagnosis of ASD. RESULTS: The majority of the 124 paediatricians who responded to the multi-topic survey and most who responded to the parent needs survey reported taking more than one session to make a diagnosis of ASD. Most paediatricians included information from preschool, child care or school when making a diagnosis, and over half included information from speech pathology or psychology colleagues more than 50% of the time. The main reasons for not including assessment information in the diagnostic process were service barriers such as no regular service available or long waiting lists. More than 70% reported ordering audiology and genetic tests more than half of the time. CONCLUSION: Not all paediatricians are following current recommendations for diagnosing ASD more than 50% of the time. While there are good reasons why current diagnostic approaches may fall short of expected standards, these need to be overcome to ensure diagnostic validity and optimal services for all children and their families.

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OBJECTIVE: To examine the association between autism spectrum disorder (ASD) symptoms and (a) social functioning, (b) mental health, (c) quality of life and (d) sleep in children with and without attention-deficit hyperactivity disorder (ADHD).

METHODS: Participants were 6-10-year-old children with ADHD (N=164) and without ADHD (N=198). ADHD was assessed via community-based screening (wave 1) and case confirmation using the Diagnostic Interview Schedule for Children IV (DISC-IV) (wave 2). ASD symptoms were identified using the Social Communication Questionnaire (SCQ). Outcome measures were social functioning (Strengths and Difficulties Questionnaire (SDQ)), mental health (DISC-IV, SDQ), quality of life (QoL, Pediatric Quality of Life Inventory 4.0) and sleep problem severity.

RESULTS: Greater ASD symptoms were associated with more parent and teacher-reported peer problems and emotional and conduct problems. For every SD increase in SCQ scores, internalising (OR 1.8, 95% CI 1.3 to 2.6, p=0.001) and externalising disorders (OR 1.5, 95% CI 1.1 to 2.1, p=0.02) increased, QoL decreased by 6.7 units (p<0.001), and moderate/severe sleep problems increased (OR 1.5, 95% CI 1.0 to 2.2, p=0.04). Most findings held in analyses adjusting for socio-demographic factors, ADHD symptom severity and comorbidities (when not the outcome), with the exception of externalising disorders and sleep problems.

CONCLUSIONS: ASD symptoms are associated with poorer functioning in children with ADHD. It is important to identify and potentially manage ASD symptoms in children with ADHD given that they exacerbate functional impairments in this already vulnerable group.

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Autism spectrum disorder (ASD) symptoms are elevated in populations of children with attention-deficit/hyperactivity disorder (ADHD). This study examined cross-sectional associations between ASD symptoms and family functioning in children with and without ADHD. Participants were recruited to a longitudinal cohort study, aged 6-10 years (164 ADHD; 198 controls). ADHD cases were ascertained using community-based screening and diagnostic confirmation from a diagnostic interview. ASD symptoms were measured using the Social Communication Questionnaire. Outcome variables were parent mental health, family quality of life (FQoL), couple conflict and support, and parenting behaviours. After adjustment for a range of child and family factors (including other mental health comorbidities), higher ASD symptoms were associated with poorer FQoL across all three domains; emotional impact (p = 0.008), family impact (p = 0.001) and time impact (p = 0.003). In adjusted analyses by subgroup, parents of children with ADHD+ASD had poorer parent self-efficacy (p = 0.01), poorer FQoL (p ≤ 0.05), with weak evidence of an association for less couple support (p = 0.06), compared to parents of children with ADHD only. Inspection of covariates in the adjusted analyses indicated that the association between ASD symptoms and most family functioning measures was accounted forby child internalising and externalising disorders, ADHD severity, and socioeconomic status; however, ASD symptoms appear to be independently associated with poorer FQoL in children with ADHD. The presence of ASD symptoms in children with ADHD may signal the need for enhanced family support.

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This thesis is the first to address the problems of early intervention in Autism Spectrum Disorder through the lens of machine learning and data analytics. The key contribution is the establishment of large datasets in this domain for the first time together with a systematic data-based approach to extract knowledge relevant to Autism.

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We describe a smartphone application that helps people with Autism Spectrum Disorder (ASD) cope with anxiety attacks. Our prototype provides a one-touch interface for indicating a panic level. The device's response-to instruct, soothe, and/or contact carers-is sensitive to the user's context, consisting of time, location, ambient noise, and nearby friends. Formative evaluation unearths a critical challenge to building assistive technologies for ASD sufferers: can regimented interfaces foster flexible behaviour? Our observations suggest that a delicate balance of design goals is required for a viable assistive technology.

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We describe TOBY Playpad, an early intervention program for children with Autism Spectrum Disorder (ASD). TOBY teaches the teacher - the parent - during the crucial period following diagnosis, which often coincides with no access to formal therapy. We reflect on TOBY's evolution from tabletop aid for flashcards to an iPad app covering a syllabus of 326 activities across 51 skills known to be deficient for ASD children, such imitation, joint attention and language. The design challenges unique to TOBY are the need to adapt to marked differences in each child's skills and rate of development (a trait of ASD) and teach parents unfamiliar concepts core to behavioural therapy, such as reinforcement, prompting, and fading. We report on three trials that successively decrease oversight and increase parental autonomy, and demonstrate clear evidence of learning. TOBY's uniquely intertwined Natural Environment Tasks are found to be effective for children and popular with parents. Copyright 2013 ACM.