Pubmed du 07/01/24
1. McComas JJ, Kolb R, Girtler S. The Effect of Caregiver-Implemented Training on Augmentative Alternative Communication Use by Individuals with Rett Syndrome: Remote Coaching via Telehealth. Dev Neurorehabil;2024 (Jan 6):1-14.
Limited published literature exists demonstrating functional relations between idiosyncratic responses or augmentative alternative communication (AAC) and social reinforcement for individuals with Rett syndrome. In this study, six females with Rett syndrome ages 2-25 demonstrated requesting for preferred items using both idiosyncratic responses (e.g, looking, reaching) and AAC (e.g. single response microswitches). Researchers connected remotely via telehealth to coach caregivers to implement all sessions in home environments. Researchers individualized response prompt delays during AAC sessions (request/mand training) based on each participants’ latency to respond during baseline. Implications for practice and directions for future research are discussed.
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2. Özbaran NB, Kayan E. Catatonia in a 8-year-old child with autism spectrum disorder: Case report. Asian J Psychiatr;2023 (Dec 22);92:103893.
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3. Öztürk ME, Yabanci Ayhan N. The relationship between the severity of intellectual and developmental disabilities (IDDs) in adults with IDDs and eating and drinking problems and nutritional status. J Intellect Disabil Res;2024 (Jan 6)
BACKGROUND: Adults with intellectual and developmental disabilities (IDDs) experience eating, drinking and swallowing problems, such as chewing problems, choking, gagging, coughing during eating, aspiration and rumination syndrome, which may lead to poor nutritional status. This study aimed to determine the relationship between IDD levels, eating, drinking and swallowing problems and nutritional status in adults with IDDs. METHODS: The sample consisted of 71 participants (37 men and 34 women) with a mean age of 22.5 ± 7 years (range 18-60 years). Professionals classified intellectual disability as mild, moderate or severe. The Screening Tool of Feeding Problems scale was applied to the caregivers of adults with IDDs to identify eating, drinking and swallowing problems. Dietary intake was assessed using a 24-h dietary recall and a food and nutrition photograph catalogue. The researchers measured body weight, height and middle upper arm circumference. Body mass index was calculated. Four body mass index categories were determined: underweight (<18.5 kg/m(2) ), normal weight (18.5-24.9 kg/m(2) ), overweight (25.0-29.9 kg/m(2) ) and obese (≥30 kg/m(2) ). Chi-squared tests were used to detect the relationship between IDD levels and eating and drinking problems, and analysis of variance tests were conducted to detect the relationship between IDD levels with anthropometric measurements and dietary intake. RESULTS: Participants had mild (42.3%; n = 30), moderate (29.6%; n = 21) or severe IDD (28.2%; n = 20). They were underweight (12.7%; n = 9), normal weight (59.2%; n = 42) or overweight and/or obese (28.2%; n = 20). Participants with severe IDD had significantly higher Screening Tool of Feeding Problems 'nutrition-related behaviour' and 'eating and drinking skill deficit problem' sub-scale scores than those with mild IDD. However, the groups had no significant difference in 'food refusal and selectivity' sub-scale scores. Participants with severe IDD also had anorexia prevalence similar to those with mild IDD. The groups did not significantly differ in anthropometric measurements, daily energy intake and macronutrient and micronutrient intake. CONCLUSIONS: While adults with severe IDD had more eating and drinking skill deficits (e.g. chewing problems and independent eating difficulties) and nutrition-related behaviour problems than those with mild IDD, the eating, drinking and swallowing problems, which may critically affect their food intake, were similar to adults with mild IDD. The anthropometric measurements and energy and nutrient intakes of adults with severe IDD were not significantly different from those with mild IDD consistently. Findings indicate that nutritional deficiencies and nutritional behaviour problems may be avoidable in adults with IDDs.
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4. Peristeri E, Andreou M. Intellectual development in young children with autism spectrum disorders: A longitudinal study. Autism Res;2024 (Jan 6)
Intelligence profiles in autism have been characterized by great variability. The questions of how autistic children’s intelligence changes over time, and what factors influence these changes deserve study as part of efforts to document child autism profiles, but also because the relationship between intellectual functioning and children’s background characteristics is poorly understood, particularly in a longitudinal context. A total of 39 autistic children and 39 age-matched neurotypical children (5-9 years old) completed two IQ assessments at preschool age and up to 4 years later. Repeated-measures analyses assessed longitudinal changes in the children’s verbal (VIQ), performance (PIQ), and full-scale IQ (FSIQ) at group level. We further sought to identify clusters with distinct profiles in each group by adopting an unsupervised K-means clustering approach, and detect possible between-subgroup differences in terms of children’s socioeconomic status and autism severity. The largest cluster in the autistic group was composed of children whose PIQ significantly dropped at follow-up, while the second largest cluster improved in all quotients; the smallest cluster, wherein children had more highly educated mothers than the rest of the clusters, was characterized by large improvement in VIQ. For the neurotypical children, there was a two-cluster division; the majority of them improved in the three quotients, while very few dropped in PIQ at follow-up. The relation between socioeconomic status and IQ changes was significant for both groups. The findings demonstrate both the complexity of intelligence changes in autism and the need to view this complexity through the lens of the children’s socioeconomic diversity.
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5. So WC, Wong E, Ng W, Fuego J, Lay S, So MT, Lee YY, Chan WY, Chua LY, Lam HL, Lam WT, Li HM, Leung WT, Ng YH, Wong WT. Seeing through a robot’s eyes: A cross-sectional exploratory study in developing a robotic screening technology for autism. Autism Res;2024 (Jan 6)
The present exploratory cross-sectional case-control study sought to develop a reliable and scalable screening tool for autism using a social robot. The robot HUMANE, installed with computer vision and linked with recognition technology, detected the direction of eye gaze of children. Children aged 3-8 (M = 5.52; N = 199) participated, 87 of whom had been confirmed with autism, 55 of whom were suspected to have autism, and 57 of whom were not considered to cause any concern for having autism. Before a session, a human experimenter instructed HUMANE to narrate a story to a child. HUMANE prompted the child to return his/her eye gaze to the robot if the child looked away, and praised the child when it re-established its eye gaze quickly after a prompt. The reliability of eye gaze detection was checked across all pairs of human raters and HUMANE and reached 0.90, indicating excellent interrater agreement. Using the pre-specified reference standard (Autism Spectrum Quotient), the sensitivity and specificity of the index tests (i.e., the number of robot prompts and duration of inattentiveness) reached 0.88 or above and the Diagnostic Odds Ratios were beyond 190. These results show that social robots may detect atypical eye patterns, suggesting a potential future for screening autism using social robots.
