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OBJECTIVES: To assess associations between SARS-CoV-2 infection and the incidence of hospitalisation with selected respiratory and non-respiratory conditions in a largely SARS-CoV-2 vaccine-naïve population . DESIGN, SETTING, PARTICIPANTS: Self-control case series; analysis of population-wide surveillance and administrative data for all laboratory-confirmed COVID-19 cases notified to the Victorian Department of Health (onset, 23 January 2020 - 31 May 2021; ie, prior to widespread vaccination rollout) and linked hospital admissions data (admission dates to 30 September 2021). MAIN OUTCOME MEASURES: Hospitalisation of people with acute COVID-19; incidence rate ratios (IRRs) comparing incidence of hospitalisations with defined conditions (including cardiac, cerebrovascular, venous thrombo-embolic, coagulative, and renal disorders) from three days before to within 89 days of onset of COVID-19 with incidence during baseline period (60-365 days prior to COVID-19 onset). RESULTS: A total of 20 594 COVID-19 cases were notified; 2992 people (14.5%) were hospitalised with COVID-19. The incidence of hospitalisation within 89 days of onset of COVID-19 was higher than during the baseline period for several conditions, including myocarditis and pericarditis (IRR, 14.8; 95% CI, 3.2-68.3), thrombocytopenia (IRR, 7.4; 95% CI, 4.4-12.5), pulmonary embolism (IRR, 6.4; 95% CI, 3.6-11.4), acute myocardial infarction (IRR, 3.9; 95% CI, 2.6-5.8), and cerebral infarction (IRR, 2.3; 95% CI, 1.4-3.9). CONCLUSION: SARS-CoV-2 infection is associated with higher incidence of hospitalisation with several respiratory and non-respiratory conditions. Our findings reinforce the value of COVID-19 mitigation measures such as vaccination, and awareness of these associations should assist the clinical management of people with histories of SARS-CoV-2 infection.

Parents from individualist cultures (those focused on autonomy of individuals; that is, Australian) may view their autistic children differently compared to parents from collectivist cultures (where community needs are valued over an individual's, that is, South-East Asian cultures). As most research on autism and parenting has been undertaken in Western individualist cultures, knowledge of parenting beliefs and mental health within collectivist cultures is lacking. We compared the mental health, quality of life, well-being and parenting sense of competency between families raising an autistic child from two groups: 97 Australian parents and 58 parents from South-East Asian backgrounds. Children from both groups were receiving the same community-based early intervention. No group differences were found on the measures of mental health but, when compared to Australian parents, parents from South-East Asian backgrounds reported higher well-being and less impact on their quality of life resulting from their child's autism-specific difficulties. Furthermore, a positive association between well-being and quality of life was only observed for South-East Asian parents. Hence, the views of, and responses to, disability for South-East Asian parents may act as a protective factor promoting well-being. This novel research indicates that culture plays a role in parenting autistic children and highlights the need to accurately capture cultural background information in research.

An increased prevalence of autism spectrum disorder (ASD) among children of immigrant backgrounds has been observed but clinical profiles are rarely compared. Diagnostic data from children with ASD notified to the Western Australian Register for Autism Spectrum Disorders were analysed according to maternal-race ethnicity and country of birth. A total of 4776 children aged between 0 and 18 years diagnosed with ASD from 1999 to 2017 were included. Those born to immigrant mothers from lower income countries were younger at the time of diagnosis, had an increased risk of intellectual disability and poorer presentations in the social and communication domains. Further work is required to understand environmental influences that may affect children born to immigrant mothers and to improve monitoring and assessments.

Inequitable access to early autism developmental surveillance is evident globally. However, there is limited research examining autism diagnosis, ethnicity, and community profiles when engaging in research for the early identification of autism. We aimed to understand the relationships between child ethnicity, maternal demographics, and autism diagnosis, comparing retrospective data from the 2016 census for eight local government areas (LGAs) in Victoria, Australia. Maternal and child health (MCH) nurses monitored 13,511 children under 42 months for the early signs of autism using the Social Attention Communication Surveillance-Revised (SACS-R) and SACS-R Preschool (SACS-PR) tools during well-child checks. Of these, 340 children with a "high likelihood" of autism attended developmental assessments. Participants' maternal ethnicity ('European maternal ethnicity', EME; 'non-European maternal ethnicity,' N-EME; 'mixed maternal ethnicity,' MME'), socioeconomic factors, and autism prevalence were compared to their LGA community. Results indicated that study participants were representative of their LGA communities, though bi- and multilingualism was higher in our cohort. Differences in current maternal employment, maternal education, annual family income, and autism prevalence were found between the N-EME, EME, and MME groups. Our study found that research engagement was driven by maternal education, maternal employment, and annual family income, and further research is required to understand these relationships. [ABSTRACT FROM AUTHOR]

Depression and poor sleep quality commonly co‐occur with autism, and depression has been associated with loneliness and reduced social support. In non‐autistic samples, poor sleep quality and daytime fatigue also contribute to depression. However, the contribution of sleep quality and fatigue to depressive symptoms, and how they interact with social factors to influence depression in autism remain unexplored. Our aim was to examine these relationships in 114 young autistic adults aged 15–25 years (57% male) from the SASLA online, longitudinal study (baseline and 2‐year follow‐up). Hierarchical multiple regression models examined the association between social well‐being (social integration and social contribution; T1), sleep quality (T1, T2), and fatigue (T1, T2) on depression (T1, T2). Two mediation models were conducted on T1 data predicting depression from sleep quality though fatigue and sleep quality through social well‐being. Depression and fatigue scores did not change over 2 years, but sleep quality worsened. The T1 regression model was significant (R2 = 36%) with fatigue and social contribution individually predicting depression symptomatology. The longitudinal regression model was also significant (adjusted R2 = 57%) with social contribution (T1) as the only significant predictor of depression (T2). Fatigue trended towards mediating the sleep quality–depression relationship, while social well‐being was a significant partial mediator of this relationship. Results highlight that sleep quality, fatigue, and social well‐being contribute to depression among young autistic adults. Interestingly, fatigue and social well‐being were independently associated with depression. Thus, addressing sleep quality and associated fatigue, and social well‐being is important when treating depression in autistic individuals. Lay Summary: We tested whether poor sleep, daytime fatigue and sense of community belonging belongingness contributed to depression symptoms in young autistic adults. We found that these all contributed significantly to depression symptoms in our sample. We concluded that it would be helpful to address both sleep problems and community belongingness when treating depression in young autistic adults. [ABSTRACT FROM AUTHOR]

Introduction: Autism spectrum disorder (ASD) comprises difficulties in social communication and restrictive and repetitive behaviors. Despite an increased global prevalence, little remains known about early detection and diagnosis of autism in Mainland China. Our aim was to conduct a pilot investigation of the implementation of an Australian tool, Social Attention and Communication Surveillance (SACS), in Tianjin, China (SACS-C) by trained professionals to identify autism early compared to the Checklist for Autism in Toddlers-23 (CHAT-23) completed by parents and professionals. Materials and Methods: A total of 10,514 children were monitored across 61 Community Health Service Centres in six Tianjin districts on the SACS-C at 12, 18, and 24 months of age following a half-day training of 225 child health practitioners. Children deemed at "high likelihood" for autism on either the SACS, CHAT-23, or both, were referred for developmental assessments at the Tianjin Women and Children's Health Centre (TWCHC). Results: A total of 87 children (0.8%) were identified at "high likelihood" on the SACS-C, of whom 57 (66%) were assessed for autism; 24 children were subsequently diagnosed with autism (42.1%), and the remaining 33 (57.9%) were diagnosed with developmental and/or language delays. The SACS-C had a positive predictive value (PPV) of 42.1%, a negative predictive value (NPV) of 99.8%, and sensitivity and specificity of 53.3 and 99.7%, respectively. Only 21 children were identified at "high risk" for autism on the CHAT-23 (0.2%), over four times fewer children than the SACS-C, with 14 children assessed for autism (66%); nine were diagnosed with autism (64.3%) and the remaining five children were diagnosed with developmental and/or language delays. The CHAT-23 had an overall PPV of 64.3%, NPV of 99.6%, sensitivity of 27.3%, and specificity of 99.9%. Conclusion: This was the first large-scale study identifying autism in 12–24-month-old children in China. We ascertained the feasibility of training community health practitioners to monitor infants and toddlers for the early signs of autism, and determined the effectiveness of their use of SACS-C which had a better balance between accuracy and sensitivity in detecting autism in contrast to the CHAT-23 which missed the majority of children with autism (72.7%) vs. the SACS-C (46.7%). Given the emphasis on identifying as many children with autism as possible in Mainland China, SACS-C was identified as the tool of choice by the TWCHC. However, more work is needed to improve the psychometric properties in using the SACS-C in Mainland China so that it is comparable to its use in Australia. [ABSTRACT FROM AUTHOR]

Aim: To compare hospital admission patterns after the first year of life in Australian children with developmental disabilities and children with no known disability, according to maternal country of birth and Indigenous status.Method: This was a retrospective cohort study using linked data across health, disability, and hospital admission databases. The study investigated 656 174 children born in Western Australia between 1983 and 2008 with a total of 1 091 834 records of hospital admissions.Results: Children with no known disability born to Indigenous mothers had the highest rate of hospital admissions compared to children of non-Indigenous mothers. Children of foreign-born mothers from low-income countries had the highest rate of hospital admissions if disability was present. Children with cerebral palsy (CP) with or without associated intellectual disability had the highest rate of hospital admissions among children with developmental disability, especially if mothers were foreign-born.Interpretation: Children with CP and intellectual disability, particularly from minority backgrounds (Indigenous Australian and foreign-born mothers), were at higher risk of being admitted to hospital after the first year of life.What This Paper Adds: Hospital admissions in Australian children with and without disabilities differ according to maternal country of birth. Hospital admission rates in children without a developmental disability were greatest for Australian-born Indigenous children. Disabled Australian-born children of foreign-born mothers from low-income countries had the highest hospital admission rates. Hospital admission risk was greatest for Australian-born children with cerebral palsy, especially if mothers were foreign-born. [ABSTRACT FROM AUTHOR]

Depression and poor sleep quality commonly co-occur with autism, and depression has been associated with loneliness and reduced social support. In non-autistic samples, poor sleep quality and daytime fatigue also contribute to depression. However, the contribution of sleep quality and fatigue to depressive symptoms, and how they interact with social factors to influence depression in autism remain unexplored. Our aim was to examine these relationships in 114 young autistic adults aged 15-25 years (57% male) from the SASLA online, longitudinal study (baseline and 2-year follow-up). Hierarchical multiple regression models examined the association between social well-being (social integration and social contribution; T1), sleep quality (T1, T2), and fatigue (T1, T2) on depression (T1, T2). Two mediation models were conducted on T1 data predicting depression from sleep quality though fatigue and sleep quality through social well-being. Depression and fatigue scores did not change over 2 years, but sleep quality worsened. The T1 regression model was significant (R 2 = 36%) with fatigue and social contribution individually predicting depression symptomatology. The longitudinal regression model was also significant (adjusted R 2 = 57%) with social contribution (T1) as the only significant predictor of depression (T2). Fatigue trended towards mediating the sleep quality-depression relationship, while social well-being was a significant partial mediator of this relationship. Results highlight that sleep quality, fatigue, and social well-being contribute to depression among young autistic adults. Interestingly, fatigue and social well-being were independently associated with depression. Thus, addressing sleep quality and associated fatigue, and social well-being is important when treating depression in autistic individuals., (© 2023 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.)

Background: The early detection of developmental conditions such as autism is vital to ensure children can access appropriate and timely evidence-based supports, services, and interventions. Children who have undetected developmental conditions early in life are more likely to develop later health, developmental, learning, and behavioral issues, which in turn can have a cumulative effect over the life course. Methods: The current protocol describes a multi-site, cluster randomized control trial comparing a developmental surveillance pathway for autism to usual care, using opportunistic visits to general practitioners (GPs). Units of randomization are GP clinics across two Australian states (New South Wales and Victoria), with thirty clinics within each state, each of which will aim to recruit approximately forty children aged between ~18- and 24-months, for a total of ~2,400 participants. Children will be randomized to two clusters; namely, an autism surveillance pathway (ASP) or surveillance as usual (SaU). The screening process for the ASP arm involves primary and secondary screenings for developmental concerns for autism, using both parent and GP reports and observations. Children in both arms who show signs of developmental concerns for autism will be offered a full developmental assessment by the research team at 24 months of age to determine the efficacy of developmental surveillance in successfully identifying children with autism. Trial Registration: The trial is registered with ANZCTR (ACTRN12619001200178) and reporting of the trial results will be according to recommendations in the CONSORT Statement., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Barbaro, Masi, Gilbert, Nair, Abdullahi, Descallar, Dissanayake, Eastwood, Hasan, Jalaludin, Karlov, Khan, Kohlhoff, Liaw, Lingam, Mendoza Diaz, Ong, Tam, Unwin, Woolfenden and Eapen.)