New Zealand has few estimates of the prevalence autism spectrum disorder and no national registry or data set to identify and track cases. This hinders the ability to make informed, evidence-based decisions relating to autism spectrum disorder. In this study, we utilised linked health and non-health data to develop a method for identifying cases of autism spectrum disorder among children and young people in New Zealand. In addition, we examined rates of co-occurring mental health, neurodevelopmental and related conditions among this cohort and compared these to the general population. The method identified almost 10,000 children and young people with autism spectrum disorder in New Zealand. Co-occurring mental health or related problems were found in over 68% of this group (nearly seven times higher than the general population), and around half were identified with multiple co-occurring conditions. The most frequently identified conditions were intellectual disability, disruptive behaviours and emotional problems. We have developed a useful method for monitoring service and treatment-related trends, number and types of co-occurring conditions and examining social outcomes among individuals with autism spectrum disorder. While the method may underestimate the prevalence of autism spectrum disorder in New Zealand, it provides a significant step towards establishing a more comprehensive evidence base to inform autism spectrum disorder-related policy.
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http://dx.doi.org/10.1177/1362361320939329 | DOI Listing |
Braz J Psychiatry
January 2025
Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil. Universidade de São Paulo, São Paulo, SP, Brazil.
Biometrics
January 2025
Department of Biostatistics, Brown University, Providence, RI 02912, United States.
Motivated by the need for computationally tractable spatial methods in neuroimaging studies, we develop a distributed and integrated framework for estimation and inference of Gaussian process model parameters with ultra-high-dimensional likelihoods. We propose a shift in viewpoint from whole to local data perspectives that is rooted in distributed model building and integrated estimation and inference. The framework's backbone is a computationally and statistically efficient integration procedure that simultaneously incorporates dependence within and between spatial resolutions in a recursively partitioned spatial domain.
View Article and Find Full Text PDFAppetite
January 2025
School of Psychology, University of Leeds, Leeds, LS2 9JT. Electronic address:
Caregivers' feeding practices shape their child's eating patterns and subsequent health. Research shows that sensitive feeding is linked to healthy development and self-regulation but depends on caregiver responsiveness to infant needs and appetite cues. Responsive feeding (RF) is influenced both by characteristics of the caregiver and expressiveness of the infant.
View Article and Find Full Text PDFRes Child Adolesc Psychopathol
January 2025
Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira I Virgili (URV), Carretera de Valls, S/N, 43007, Tarragona, Spain.
The aim of this study is to investigate the impact of using probiotics with strains related to dopamine and gamma-aminobutyric acid production on clinical features of autism spectrum disorder (ASD) and/or attention deficit/hyperactivity disorder (ADHD). This randomized, controlled trial involved 38 children with ADHD and 42 children with ASD, aged 5-16 years, who received probiotics (Lactiplantibacillus plantarum and Levilactobacillus brevis 109/cfu/daily) or placebo for 12 weeks. Parent-reported symptoms were assessed using Conners' 3rd-Ed and the Social Responsiveness Scale Test, 2nd-Ed (SRS-2), and children completed the Conners Continuous Performance Test, 3rd-Ed (CPT 3) or Conners Kiddie CPT, 2nd-Ed (K-CPT 2).
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Federal Technological University of Paraná, Postgraduate Program in Science and Technology Teaching (PPGECT), Ponta Grossa, Paraná, Brasil.
Objective: To identify the tools used to assess eating behaviors in individuals with Autism Spectrum Disorder (ASD) and summarize their distribution, citation rates, journal publication, JCR scores, and psychometric properties.
Methods: A literature review was conducted to identify studies on eating behavior in individuals with ASD. The search included various descriptors and combinations of keywords in databases such as Medline/PubMed, Science Direct, Scopus, SciELO, and Web of Science.
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