Time trends in autism diagnosis over 20 years: a UK population-based cohort study

A Population-Based Cross-Sectional Investigation of COVID-19 Hospitalizations and Mortality Among Autistic People

Current evidence suggests the possibility that autistic people may be at more risk of COVID-19 infection, hospitalisation, and mortality than the general population. Previous studies, however, are either limited in scale or do not investigate potential risk factors. Research into risk factors focused on general population samples. The current study aims to investigate these risk factors in the autistic population. Using data-linkage and a whole-country population, this study modelled associations between autism and COVID-19 hospitalisation and mortality risk in adults, investigating a multitude of clinical and demographic risk factors. Autistic adults had higher rates of hospitalisation, Standardised Incident Ratio 1.6 in 2020 and 1.3 in 2021, and mortality, Standardised Mortality Ratio 1.52 in 2020 and 1.34 in 2021, due to COVID-19 than the general population. In both populations, age, complex multimorbidity and vaccination status were the most significant predictors of COVID-19 hospitalisation and mortality. Effects of psychotropic medication varied by class. Although similar factors exhibited a positive association with heightened risk of severe COVID-19 in both the autistic and general populations, with comparable effect sizes, mortality rates were elevated among the autistic population compared to the general population. Specifically, complex multimorbidity and classification of prescribed medications may emerge as particularly significant predictors of severe COVID-19 among individuals within the autistic population due to higher prevalence of complex multimorbidity in the autistic population and variability in the association between medication classes and severe COVID-19 between both populations, though further research is needed.

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data

BACKGROUND

Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on attention-deficit/hyperactivity disorder (ADHD) and autism. This heightened interest coincides with growing neurodiversity advocacy. The impact of these changes in the conceptualization of ADHD and autism, and the relationship between the 2 conditions, remains underexplored.

OBJECTIVE

We aim to characterize and understand how the relationship between ADHD and autism has evolved in public discourse over the past decade and explore reasons for their growing alignment.

METHODS

Using Reddit data from 2012 to 2022, we investigated the frequency of ADHD mentions in r/autism and autism mentions in r/ADHD, compared to commonly mentioned conditions. We analyzed user overlap between the 2 subreddits to track cross-subreddit discussions. Following this, we assessed changes in semantic similarity between ADHD and autism using Word2Vec embedding models, alongside commonly mentioned conditions. Finally, thematic changes in subreddit discussions were explored using BERT-based topic modeling across 2 time periods.

RESULTS

Our analysis revealed that ADHD and autism have become progressively more associated across these multiple dimensions. In r/ADHD, there was a steep rise in the proportion of posts mentioning "autism" in 2021, overtaking "bipolar" and "OCD" (obsessive-compulsive disorder) to become the most frequently mentioned condition. Similarly, ADHD mentions increased steadily in r/autism, while the frequency of posts mentioning "OCD," "PTSD" (posttraumatic stress disorder), and "bipolar" remained stable and low. User overlap between these subreddits grew substantially beginning in 2020. Semantic analysis showed ADHD and autism becoming more closely related from 2019 onward, compared to other conditions. Last, topic modeling indicated growing thematic convergence in ADHD- and autism-related discussions, which reflected an increasing shared emphasis on the experiences of adults with ADHD and autism, challenges in accessing diagnostic assessments, and interpersonal difficulties.

CONCLUSIONS

Our study clarifies how discourse around these 2 conditions has converged during a period when they have both attracted rising public attention. These findings contribute to wider discussions about the impacts of rising public interest in mental health concepts. They illustrate that public understandings of relationships between conditions are dynamic and changing in ways that diverge from diagnostic frameworks. Future research should continue investigating changing mental health conceptualizations on social media, as these dynamics are becoming increasingly important for the future of psychiatric practice.

Screening for autism in psychiatric inpatients with severe self-harm - results from the Extreme Challenges research project

PURPOSE

Living with undiagnosed autism may have negative consequences for mental health, including increased risk of self-harm and suicidal behaviours. Autism is currently underdiagnosed in adult females. While severe self-harm is associated with complex psychopathologies, it is often assumed to signify the presence of borderline personality disorder, and underlying autism may not be recognised. The purpose of the current study was to explore the prevalence of diagnosed autism, as well as the prevalence of being screen positive for autism and its clinical correlates, in a clinical sample of inpatients with severe self-harm.

MATERIALS AND METHODS

In a national multisite project comprising 12 hospitals, 42 patients (40 female, 2 male; age >18) with frequent (≥ 5) or long (≥ 4 weeks) inpatient admissions due to self-harm during the last year were recruited for a cross-sectional study. The Ritvo Autism and Asperger Diagnostic Scale-Revised (RAADS-R) was used to screen for autism.

RESULTS

Four participants, all female, were diagnosed with autism. When applying different cut-off criteria for the RAADS-R, even the strictest cut-off resulted in a considerably higher proportion of the sample being screen positive for autism. Participants with higher scores on the RAADS-R reported more anxiety, depressive, and trauma-related symptoms, as well as poorer functioning across measures of personality, close relationships, emotion regulation and alexithymia.

CONCLUSIONS

These findings highlight the importance of actively screening for and assessing autism in patients with severe self-harm. Undiagnosed autism may involve a risk that unhelpful interactions with the mental health care system exacerbate these patients' difficulties over time.

Enhancing Adult Autism Diagnostic Pathways: The Role of Clinical Triage in Efficient Service Provision

Background: Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition affecting 1.1% of adults. The increasing incidence of ASD has led to pressurised diagnostic services. Objective: We aimed to determine the number needed to harm (NNH) of criteria-informed triage assessment in an adult autism diagnostic service in the UK. Methods: The study was conducted at a specialist adult Autism Service in West Yorkshire, UK, from November 2021 to August 2022. All eligible referrals were accepted, with criteria requiring service users to be over 18 years old and without an intellectual disability. The evaluation consisted of 60 cases. Results: None of the evaluation cases resulted in a clinical diagnosis of ASD, yielding an infinite number needed to harm (NNH), demonstrating that every case benefited from the triage process without significant risk of harm. Conclusions: Triage enables services to gather comprehensive information about individual presentations and clinical needs, facilitating informed decision-making and better service utilisation. The evaluation demonstrates the safety and effectiveness of the triage process, with directions for further research discussed.

Waiting Times and Influencing Factors in Children and Adults Undergoing Assessment for Autism, ADHD, and Other Neurodevelopmental Differences

This study explored waiting times and the factors influencing them in child and adult populations undergoing assessment for autism, ADHD, and other neurodevelopmental differences. The analysis focused on a retrospective review of 408 cases with assessments completed between October 2021 and May 2022, conducted by 30 diagnosing teams in Scotland. Data included age, final diagnosis, demographics, medical and developmental history, contact frequency, and assessment service adherence to best-practice standards. Waiting times were calculated, and relationships were analyzed using linear regression. Median waiting times were 525 days (IQR 329-857) for children/adolescents and 252 days (IQR 106-611) for adults. Only 20% of children's and 47% of adult assessments met the proposed 252-day diagnostic time target. Autism and ADHD were the most common diagnoses. Receiving > 1 neurodevelopmental diagnosis on completion was uncommon. Demographic factors did not significantly affect waiting times. Children/adolescents with more complex developmental and medical histories experienced longer waits (100.3 weeks vs. 67.7 weeks; p < 0.001), while adults with similar histories had shorter waits (32.7 weeks vs. 57.4 weeks; p = 0.016). Adults with ADHD experienced longer waits than autistic adults (63.4 weeks vs. 38.6 weeks, p = 0.002). Adherence to best-practice quality standards was associated with shorter waits for children (β = 0.27, p = 0.002), but the relationship between standard adherence at different stages and for adults was less clear. More frequent appointments correlated with shorter adult waits (33.7 weeks vs. 59.2 weeks, p = 0.015). Gender distribution was balanced among adults, but children's services included more boys. The study highlights long waits and the need for improvement in processes.

Sociodemographic and clinical characteristics of 1,234 individuals diagnosed with trichotillomania in the Swedish National Patient Register

Trichotillomania is an understudied, underrecognized, and difficult-to-treat psychiatric disorder that affects about 1-2% of the population, predominantly women. This study aimed to characterize the sociodemographic and clinical characteristics of a Swedish cohort of individuals with a diagnosis of trichotillomania assigned in specialist services across the country. Through the Swedish National Patient Register, we identified all individuals with an ICD-10 diagnosis of trichotillomania between January 1st, 1997 and December 31st, 2020. The cohort included 1,234 individuals, with a median age at first diagnosis of 25 years (interquartile range, 16-35). Most individuals were female (85%) and single (82%). Most (79%) individuals had a comorbid psychiatric disorder diagnosed during the study period. Anxiety-related disorders (65%), depressive disorders (48%), and neurodevelopmental disorders (39%) were the most frequent co-occurring diagnoses. Most (72%) individuals were dispensed psychotropic medications during the period ranging from 12 months prior to and 12 months after the first trichotillomania diagnosis. Antidepressants (58%), hypnotics/sedatives (36%), and anxiolytics (31%) were the most frequently dispensed medications. Altogether, the characteristics of individuals diagnosed with trichotillomania in Swedish specialist services were similar to those reported in previous literature, opening the possibility of register-based research into this underdiagnosed and understudied condition.

Integrating causal discovery and clinically-relevant insights to explore directional relationships between autistic features, sex at birth, and cognitive abilities

BACKGROUND

Access to "big data" is a boon for researchers, fostering collaboration and resource-sharing to accelerate advancements across fields. Yet, disentangling complex datasets has been hindered by methodological limitations, calling for alternative, interdisciplinary approaches to parse manifold multi-directional pathways between clinical features, particularly for highly heterogeneous autism spectrum disorder (ASD). Despite a long history of male-bias in ASD prevalence, no consensus has been reached regarding mechanisms underlying sex-related discrepancies.

METHODS

Applying a novel network-theory-based approach, we extracted data-driven, clinically-relevant insights from a well-characterized sample (http://sfari.org/simons-simplex-collection) of autistic males (N = 2175, Age = 8.9 ± 3.5 years) and females (N = 334, Age = 9.2 ± 3.7 years). Expert clinical review of exploratory factor analysis (EFA) results yielded factors of interest in sensory, social, and restricted and repetitive behavior domains. To offset inherent confounds of sample imbalance, we identified a comparison subgroup of males (N = 331) matched to females (by age, IQ). We applied data-driven causal discovery analysis (CDA) using Greedy Fast Causal Inference (GFCI) on three groups (all females, all males, matched males). Structural equation modeling (SEM) extracted measures of model-fit and effect sizes for causal relationships between sex, age-at-enrollment, and IQ on EFA-determined factors.

RESULTS

We identified potential targets for intervention at nodes with mediating or indirect effects. For example, in the female and matched male groups, analyses suggest mitigating RRB domain behaviors may lead to downstream reductions in oppositional and self-injurious behaviors.

CONCLUSIONS

Our investigation unveiled sex-specific directional relationships that inform our understanding of differing needs and outcomes associated with biological sex in autism and may serve to further development of targeted interventions.

The Co-Occurrence of Autism and Avoidant/Restrictive Food Intake Disorder (ARFID): A Prevalence-Based Meta-Analysis

OBJECTIVE

Avoidant/restrictive food intake disorder (ARFID) is a feeding and eating disorder characterized by extensive avoidance and/or restriction of food. Existing research demonstrates that ARFID is over-represented in Autistic populations and vice-versa, with both groups exhibiting shared characteristics. This meta-analysis investigated the co-occurrence between ARFID and autism via determination of autism prevalence in ARFID populations, and ARFID prevalence in Autistic groups.

METHOD

This review systematically identified literature evaluating those with ARFID and Autistic individuals. Literature was searched for using SCOPUS, MEDLINE, and Web of Science. Selected publications included Autistic individuals and those with ARFID who either received a formal diagnosis of autism and/or ARFID or met clinical threshold cut-off scores on validated autism and/or ARFID questionnaires. Prevalence was reported in proportion-based values alongside 95% confidence intervals (CIs).

RESULTS

This meta-analysis identified 21 studies (kARFID = 18 papers; kAutism = 3 papers) comprising of n = 7442 participants (nARFID = 1708; nAutism = 5734). Prevalence of autism diagnoses was 16.27% in those with ARFID (95% CI = 8.64%-28.53%), and ARFID prevalence in Autistic groups was 11.41% (95% CI = 2.89%-35.76%). Gender and ethnicity served as significant sources of heterogeneity in ARFID papers. There was insufficient data to provide comparator values or prevalence across study population and distinct underpinning drivers of ARFID.

DISCUSSION

Meta-analytic findings highlight significant rates of co-occurrence between autism and ARFID, suggesting that in clinical settings, it may be beneficial to consider screening Autistic individuals for ARFID and vice-versa. Future research should further investigate co-occurrence across ARFID profiles, gender, and ethnicity.

Autoencoder based data clustering for identifying anomalous repetitive hand movements, and behavioral transition patterns in children

The analysis of repetitive hand movements and behavioral transition patterns holds particular significance in detecting atypical behaviors in early child development. Early recognition of these behaviors holds immense promise for timely interventions, which can profoundly impact a child's well-being and future prospects. However, the scarcity of specialized medical professionals and limited facilities has made detecting these behaviors and unique patterns challenging using traditional manual methods. This highlights the necessity for automated tools to identify anomalous repetitive hand movements and behavioral transition patterns in children. Our study aimed to develop an automated model for the early identification of anomalous repetitive hand movements and the detection of unique behavioral patterns. Utilizing autoencoders, self-similarity matrices, and unsupervised clustering algorithms, we analyzed skeleton and image-based features, repetition count, and frequency of repetitive child hand movements. This approach aimed to distinguish between typical and atypical repetitive hand movements of varying speeds, addressing data limitations through dimension reduction. Additionally, we aimed to categorize behaviors into clusters beyond binary classification. Through experimentation on three datasets (Hand Movements in Wild, Updated Self-Stimulatory Behaviours, Autism Spectrum Disorder), our model effectively differentiated between typical and atypical hand movements, providing insights into behavioral transitional patterns. This aids the medical community in understanding the evolving behaviors in children. In conclusion, our research addresses the need for early detection of atypical behaviors through an automated model capable of discerning repetitive hand movement patterns. This innovation contributes to early intervention strategies for neurological conditions.

'It's designed for someone who is not me': A reflexive thematic analysis of the unmet healthcare support needs in UK autistic adults aged 65 years and over

Autistic people are more likely to experience physical and mental health difficulties across the lifespan, leading to an increased risk of premature mortality likely due to health disparities. At present, little is known about the healthcare experiences of autistic older adults. Semi-structured interviews were conducted with 19 autistic adults aged 65 years or over living in the United Kingdom. Reflexive thematic analysis produced these themes: (1) A lifetime of being misunderstood; (2) Autistic people falling between the gaps; (3) Processing autism diagnosis in later life; (4) Concerns about service pressures and scarce resources; (5) Lack of continuity of care, empathy and understanding; (6) Anxiety, alexithymia and sensory overload; and (7) Reduced social support and concerns for the future. Some of the challenges autistic older adults faced were like those experienced by younger or middle-aged autistic adults. However, they also reported additional difficulties related to ageing and lifelong experiences of social exclusion. These difficulties were made worse by increased service pressures. A comprehensive approach is needed, including enhanced staff training, personalised care, targeted support and policy changes. Services should also consult with autistic older adults so they can advocate for their care, shape policy and co-design services.Lay abstractAutistic people often face both physical and mental health challenges throughout their lives, which can lead to a higher risk of premature death due to health inequalities. However, we know very little about the healthcare experiences of autistic older adults. In this study, we talked with 19 autistic adults aged 65 years or above living in the United Kingdom. We found these main themes: (1) A lifetime of being misunderstood; (2) Autistic people falling between the gaps; (3) Processing autism diagnosis in later life; (4) Concerns about service pressures and scarce resources; (5) Lack of continuity of care, empathy and understanding; (6) Anxiety, alexithymia and sensory overload; and (7) Reduced social support and concerns for the future. Themes show that autistic older adults face unique healthcare access challenges because services don't consider their lifelong experiences of social exclusion. Participants also worried about age-related decline coupled with reduced social support, which makes it harder for them to get support. To address these challenges, healthcare services should provide more targeted support, make policies and funding consistent, and improve healthcare provision by providing staff training. Importantly, they must also speak with autistic older adults so they can advocate for their current and future care.

Temporal trends of psychiatric disorders incidence by sex, education and immigration status among young and middle-aged adults in Sweden, 2004-2019

OBJECTIVE

To explore temporal changes in incidence of major psychiatric disorders across sociodemographic subgroups in Sweden.

METHODS

This population-based open cohort study included all individuals born during 1958-1994 and residing in Sweden at any time during 2004-2019. We identified psychiatric disorders registered in inpatient and outpatient specialist care. We calculated person-years from the inclusion until diagnosis of psychiatric disorder of interest, death, emigration or December 31, 2019, whichever occurred first. Combining sex (female, male), education (low, medium, high) and immigration status (first- or second-generation immigrant, native), we created a variable with 18 strata. Average annual percent changes (AAPCs) in age-standardized incidence rates (ASIRs) were estimated using Joinpoint regression.

RESULTS

A total of 5,051,875 individuals aged 25-61 years were followed for ≈ 56-58 million person-years. First-generation immigrants generally had lower overall ASIRs than second-generation and natives with more pronounced differences among persons with low education and females. While ASIRs of autism spectrum and other pervasive developmental disorders (AAPC 11.8%, 95% CI: 9.5, 15.8), as well as attention deficit hyperactivity disorder and conduct disorders (18.8%, 16.6, 25.0) rose over time, other psychiatric disorders were stable or had decreasing temporal changes (AAPC ranged from 0% for substance use disorders to -5.7% for schizophrenia/acute and transient psychotic disorders). First-generation immigrants generally experienced more favourable changes (i.e. more decreases or less increases) in ASIRs and this was most evident among those with low education.

CONCLUSIONS

While incidence of psychiatric disorders in inpatient and outpatient specialist care generally declined during 2004-2019, there were important sociodemographic variations in temporal changes.

CLINICAL TRIAL NUMBER

Not applicable.

Examining Virtual Reality Interventions for Social Skills in Children with Autism Spectrum Disorder: A Systematic Review

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is characterized by limitations in social communication and interaction, self-repetitive behaviors, and the presence of limited interests. The prevalence of ASD, which typically emerges in the first years of life, is increasing at an alarming rate due to multiple factors, including the broadening of diagnostic criteria, heightened public awareness, and more frequent diagnoses among women and adults. Over the years, experts have invested considerable time and effort in developing educational scenarios for children with ASD. However, they have faced challenges replicating certain scenarios-such as emergencies, crowded public transportation, or restaurant environments-because recreating these exact conditions in real-world settings is difficult or cost-prohibitive. This has consequently compelled experts to seek out supplementary intervention methods that are more suitable and accessible. Virtual reality (VR), which has the capacity to integrate the physical and virtual realms, represents one such alternative intervention method. In this study, a systematic review of studies employing VR technology in social skills interventions for individuals with ASD was conducted, and 31 studies were included. The findings indicate the potential benefits of VR applications focusing on the social skills of individuals with ASD. Additionally, this research elucidates the limitations of the studies and offers suggestions for future research.

The experiences of autistic adults who were previously diagnosed with borderline or emotionally unstable personality disorder: A phenomenological study

LAY ABSTRACT

Autistic people face many barriers to receiving an autism diagnosis. Often, they may be misdiagnosed with borderline personality disorder instead. For our study, we interviewed 10 autistic adults who had previously been diagnosed with borderline personality disorder. This helped us to better understand their experiences. They explained how borderline personality disorder is quite stigmatised and may suggest that people are to blame for their differences in behaviour. They found the treatments they had to try for borderline personality disorder to be harmful. For example, these treatments promoted 'masking'. Previous research showed that masking can be harmful for autistic people, linking it to risk of suicide. This diagnosis also led to healthcare professionals neglecting them and discounting their beliefs. Once they were diagnosed with borderline personality disorder, it was hard to access an autism assessment. When they did receive their autism diagnoses, this was much more positive. This diagnosis was validating. It also improved their mental health, as they were no longer expected to mask - their differences were now accepted. They still felt that autism was stigmatised in society. However, this was very different to the stigma around borderline personality disorder. They felt autism stigma was more about their competence as people, whereas borderline personality disorder stigma was about how they were broken and might be harmful to others. This study is important because it allows their stories to be heard by researchers and healthcare professionals alike. Adding their voices helps to humanise them, promoting positive change in mental health services. More research is now needed.

The paradox of hikikomori through a transcultural lens

This article appraises cultural understanding and controversies regarding hikikomori (prolonged social withdrawal), with reference to research over the past 20 years. Initially viewed as a uniquely Japanese phenomenon, hikikomori is now recognised globally, prompting a re-evaluation of its cultural, psychological and socioeconomic demographics. A revision in lifestyle after the COVID-19 pandemic and ongoing technological advancements - particularly the rise of social media, gaming and the internet - have paradoxically both exacerbated isolation and provided new forms of social interaction for young adults who confine themselves at home. This phenomenon underlines the complex interplay between putative individual psychopathology, neurodiversity and broader societal shifts across the globe.

Mental Health Disorder Trends in Denmark According to Age, Calendar Period, and Birth Cohort

Importance

Research suggests an increase in mental disorder incidence in recent years, but this trend remains unexplained, and there is a lack of large studies based on a representative sample that investigate mental disorders over the full spectrum.

Objective

To explore sex- and age-specific incidence of any mental disorder and 19 specific disorders according to birth cohort and calendar period.

Design, Setting, and Participants

This was a population-based cohort study among 5 936 202 individuals aged 1 to 80 years living in Denmark at some point between January 1, 2004, and December 31, 2021. Data were derived from the Danish Civil Registration System and analyzed from February to August 2024.

Exposures

Birth cohort (8 categories from 1924 to 2011) and calendar period (six 3-year categories from 2004 to 2021).

Main Outcomes and Measures

Incidence rates of mental disorders from 2004 to 2021 by sex and age, according to birth cohort and calendar period, including the first years of the COVID-19 pandemic, using Danish health register data.

Results

The population comprised 2 933 857 female individuals and 3 002 345 male individuals, who were followed up for 83.8 million person-years, with median ages at start and end of follow-up of 30.2 and 46.2 years, respectively. There was an overall mental disorder incidence rate of 55.27 every 10 000 person-years. For diagnoses of any mental disorder, higher incidence rates were observed for more recent birth cohorts and calendar periods in the younger ages. Over older ages, incidence rates did not vary so greatly. An increase was observed in rates of most types of mental disorders, especially among young people, and decreases for other types (eg, substance use disorders). Prominent sex differences were also observed. For example, for schizophrenia, a large increase was seen in incidence rates for female individuals in more recent birth cohorts at younger ages, but no change for male individuals, leading to a higher peak incidence for female individuals than for male individuals in the most recent periods. For personality disorders, a large increase was observed in incidence for female individuals over time and a slight decrease for male individuals.

Conclusions and Relevance

This comprehensive investigation of mental disorders incidence in Denmark indicates sex- and age-specific patterns according to birth cohorts and calendar periods. While trends may partly be explained by increases in incidence, several other factors may contribute, such as diagnostic practices, health sector capacity, and risk factors for mental disorders.

Post-diagnostic support for adults diagnosed with autism in adulthood in the UK: A systematic review with narrative synthesis

LAY ABSTRACT

More adults than ever before are seeking an autism diagnosis in adulthood. While receiving a diagnosis may be beneficial, many autistic people struggle to navigate their new diagnosis, and require support. This study conducted a systematic review of previous research on the support available after diagnosis (post-diagnostic support) for autistic adults without intellectual disability who were diagnosed in adulthood in the UK. A systematic review is a pre-planned method of searching for all relevant studies, before combining these to answer a larger question. The study aimed to investigate the availability of such support and its effectiveness, and to explore autistic adults' experiences of accessing support. We also used publicly available information to create a map of the post-diagnostic support services currently available across the UK. A systematic search of seven databases was conducted, to identify UK-based studies published after 2012. Nineteen studies were eligible to be included in the study. Although some form of post-diagnostic support is available across most areas in the UK, this mostly consists of providing information and 'signposting' the person to other services. These options may not meet the needs of autistic people, who want services such as psychoeducation (therapy whereby an individual receives education about their diagnosis to improve understanding and self-management), and peer support. Findings highlight the need for adequate support to alleviate the post-diagnostic challenges autistic adults face. The study could not evaluate the effectiveness of support options in the UK due to a lack of information about this in published research. Research shows that autistic adults would like low-level support services, psychoeducation, and peer support, and may also prefer autistic-led support. Further research is required to develop and evaluate post-diagnostic support programmes which include these elements.

Autistic and transgender/gender diverse people's experiences of health and healthcare

BACKGROUND

Autistic people and transgender/gender diverse people experience poorer healthcare experiences and greater risk of diagnosed, suspected, and assessment recommended health conditions, compared to non-autistic and cisgender individuals, respectively. Despite this, there is a paucity of studies on the healthcare experiences and health outcomes of transgender/gender diverse autistic individuals.

METHODS

We compared the healthcare experiences and health outcomes of cisgender autistic (n = 1094), transgender/gender diverse autistic (n = 174), and cisgender non-autistic adults (n = 1295) via an anonymous, self-report survey. All individuals whose sex assigned at birth did not match their current gender identity were categorized as transgender/gender diverse; this was possible to determine, as the survey asked about sex assigned at birth and gender in separate questions. Unfortunately, n = 57 transgender/gender diverse non-autistic participants were excluded from these analyses a priori, due to low power. Unadjusted and adjusted binomial logistic regression models with FDR correction were employed to assess healthcare experiences and rates of co-occurring mental and physical health conditions.

RESULTS

Both transgender/gender diverse and cisgender autistic adults had higher rates of all health conditions (including conditions that are formally diagnosed, suspected, or recommended for assessment), compared to cisgender non-autistic adults. Transgender/gender diverse autistic adults were 2.3 times more likely to report a physical health condition, 10.9 times more likely to report a mental health condition, and 5.8 times more likely to report self-harm than cisgender non-autistic adults. Both autistic groups also reported significantly poorer healthcare experiences across 50/51 items.

LIMITATIONS

These data were not originally collected to understand the experiences of transgender/gender diverse individuals. In addition, our recruitment strategies, use of a convenience sampling method, and the use of a self-report survey limit the generalizability of the study. As our sample was biased towards white individuals, UK residents, relatively highly educated individuals, those assigned female at birth, and those who currently identify as female, our findings may be less applicable to individuals of differing demographics. Finally, the present study does not include information on the experiences of transgender/gender diverse non-autistic people.

CONCLUSIONS

Autistic people have poorer self-reported health and healthcare; however, being gender diverse is associated with further risk for certain adverse experiences and outcomes. Future research on the health and healthcare experiences of transgender/gender diverse autistic people is urgently needed. In particular, forthcoming studies in this area should aim to recruit large-scale and representative studies and should compare the experiences of transgender/gender diverse autistic people to those of transgender/gender diverse non-autistic people. Greater recognition of challenges and reasonable adjustments are essential for people with marginalized, intersectional identities in clinical practice.

Alcohol use among populations with autism spectrum disorder: narrative systematic review

BACKGROUND

Alcohol use in autism spectrum disorder (ASD) is under-researched. Previous reviews have explored substance use as a whole, but this neglects individual characteristics unique to different substances. Alcohol use in non-clinical samples is associated with diverse responses. To advance practice and policy, an improved understanding of alcohol use among people with ASD is crucial to meet individual needs.

AIMS

This was a narrative systematic review of the current literature on the association between alcohol use and ASD, focusing on aetiology (biological, psychological, social and environmental risk factors) and implications (consequences and protective factors) of alcohol use in autistic populations who utilise clinical services. We sought to identify priority research questions and offer policy and practice recommendations.

METHOD

PROSPERO Registration: CRD42023430291. The search was conducted across five databases: CINAHL, EMBASE, MEDLINE, PsychINFO and Global Health. Included studies explored alcohol use and ASD within clinical samples.

RESULTS

A total of 22 studies was included in the final review. The pooled prevalence of alcohol use disorder in ASD was 1.6% and 16.1% in large population registers and clinical settings, respectively. Four components were identified as possible aetiological risk factors: age, co-occurring conditions, gender and genetics. We identified ten implications for co-occurring alcohol use disorder in ASD, summarised as a concept map.

CONCLUSION

Emerging trends in the literature suggest direction and principles for research and practice. Future studies should use a standardised methodological approach, including psychometrically validated instruments and representative samples, to inform policy and improve the experience for autistic populations with co-occurring alcohol use.

Pharmacological treatment in autism: a proposal for guidelines on common co-occurring psychiatric symptoms

BACKGROUND

The prevalence of autism spectrum disorder (ASD) has surged, with an estimated 1 in 36 eight-year-olds in the United States meeting criteria for ASD in 2020. Autistic individuals face elevated rates of co-occurring medical, psychiatric, and behavioral conditions compared to non-autistic individuals. The rising ASD-patient demand is increasingly outpacing the capacity of ASD-specialty clinics, resulting in urgent need for autism-competent providers in general practice settings. This work aims to empower healthcare providers, especially primary care providers (PCPs), with guidelines for the recognition and safe pharmacologic management of common co-occurring psychiatric and behavioral conditions in ASD.

METHODS

Lurie Center for Autism medical providers, who have extensive experience in ASD care, delineated approaches for recognition and pharmacological treatment of sleep disturbances, attention-deficit/hyperactivity disorder (ADHD), anxiety, depression, and irritability tailored to ASD patients. Pharmacological guidelines were iteratively refined until consensus was reached. Treatment differences relative to standard of care (SOC) of non-autistic individuals are noted. Key literature and clinical trial results were reviewed to supplement clinical experience.

RESULTS

The pharmacological treatment pathways reflect how appropriate medication options for ASD patients can depend on many factors unique to the patient and can differ from established non-autistic SOC. Key takeaways include: For sleep disturbances in ASD, initial strategies align with non-autistic SOC, emphasizing sleep hygiene and melatonin use. First-line recommendations for treating ADHD, anxiety, and depression in ASD differ from non-autistic SOC; α2-adrenergic agonists are more suitable than stimulants for some ASD-ADHD patients, buspirone and mirtazapine are preferred to selective serotonin reuptake inhibitors (SSRIs) for anxiety, and duloxetine, mirtazapine, bupropion, and vortioxetine are recommended ahead of SSRIs for depression. Addressing irritability in ASD requires interdisciplinary evaluation of contributing factors, and guanfacine, risperidone, or aripiprazole may be appropriate, depending on severity.

CONCLUSIONS

Recognition and treatment of co-occurring psychiatric and behavioral conditions in autistic patients must account for differences in clinical presentation and medication effectiveness and tolerability. Drawing on evidence-based clinical insights, these guidelines seek to support PCPs in making informed decisions when prescribing medications for ASD patients with co-occurring psychiatric and behavioral conditions, ultimately enhancing access to timely, comprehensive care for all individuals with ASD.

Autistic adults' perspectives and experiences of diagnostic assessments that include play across the lifespan

LAY ABSTRACT

Play is often included in autism diagnostic assessments. These assessments tend to focus on negatives and how people who are not autistic interpret observable behaviours. It is important to take a neurodiversity-affirmative assessment approach. This involves focusing on what autistic people say and looking at strengths and needs. We wanted to find out how autistic adults experience diagnostic assessments that include play. We asked autistic and non-autistic people to help us design our study and interview questions. We then interviewed 22 autistic adults to find out what they think about the use of play in assessments. We used a qualitative method called interpretative phenomenological analysis to analyse the data. Autistic adults told us about the different ways play was included in their diagnostic assessments. For example, some completed a diagnostic tool called the Autism Diagnostic Observation Schedule. Autistic adults also talked about the importance of considering how autistic people are different to each other. For example, we found that play may not be useful for assessing women or girls who mask. This suggests that professionals should adopt a personalised approach to diagnostic assessments that use play catering to each person's needs. Our findings also suggested that professionals should assess strengths and differences as well as needs.

The overlap of disordered eating, autism and ADHD: future research priorities as identified by adults with lived experience

The focus of mental health research in emerging fields should be driven by the priorities of people with relevant lived experience. Autism and ADHD are childhood-onset neurodevelopmental conditions that are associated with a range of health inequalities, including increased risk for eating disorders. The evidence base for how best to support neurodivergent individuals who experience disordered eating is still in its infancy, but research suggests that existing clinical approaches are not currently fit for purpose. In this Personal View, through community consultation with autistic people and people with ADHD who have experienced disordered eating, we present a comprehensive ranked list of research topics that people with lived experience prioritise. These priorities could be clustered into two areas: improving outcomes and identifying causal mechanisms. Within the theme of improving disordered eating outcomes, priorities are the improvement of treatment, the need for neurodiversity training in clinical services, and the identification and minimisation of unintended adverse effects of psychological intervention. Within the theme of identifying causal mechanisms, priorities are the identification of risk factors and a better understanding of the effect of autistic or ADHD neurocognitive profiles as potential contributors to eating disorder vulnerability. The final top ten research priorities are contextualised in terms of how they compare to the existing literature on the overlap between autism or ADHD and eating disorders, and concrete suggestions are made for how to implement these research priorities as testable hypotheses. Research informed by these priorities will build necessary understanding of the reasons behind the increased risk for eating disorders in neurodivergent people, and how to best support people who are affected by disordered eating to live positive and fulfilling lives.

Thriving… or Just Surviving? Autistic Journeys in Higher Education

PURPOSE OF REVIEW

Here we synthesise key recent (2021-2024) research that aims to understand the experience of autistic people, both staff and students, who navigate the Higher Education (HE) environment.

RECENT FINDINGS

Autistic students and staff continue to experience a lack of flexible, consistent and personalised support within the HE context, and tensions remain between the benefits of disclosure and the discrimination that may result. Significant missed opportunities remain for greater social, emotional and practical supports for autistic members of the HE community. Distinct barriers to both access and 'flourishing' for autistic people within HE remain. Personal narratives continue to describe a range of both positive and negative experiences within HE, yet it remains clear that HE may be inherently hostile in its setup, and that it takes a great deal of effort to fight against this.

Antiseizure medication use during pregnancy and children's neurodevelopmental outcomes

The teratogenic potential of valproate in pregnancy is well established; however, evidence regarding the long-term safety of other antiseizure medications (ASMs) during pregnancy remains limited. Using routinely collected primary care data from the UK and nationwide Swedish registries to create a cohort of 3,182,773 children, of which 17,495 were exposed to ASMs in pregnancy, we show that those exposed to valproate were more likely to receive a diagnosis of autism, intellectual disability, and ADHD, when compared to children not exposed to ASMs. Additionally, children exposed to topiramate were 2.5 times more likely to be diagnosed with intellectual disability (95% CI: 1.23-4.98), and those exposed to carbamazepine were 1.25 times more likely to be diagnosed with autism (95% CI: 1.05-1.48) and 1.30 times more likely to be diagnosed with intellectual disability (95% CI: 1.01-1.69). There was little evidence that children exposed to lamotrigine in pregnancy were more likely to receive neurodevelopmental diagnoses. While further research is needed, these findings may support considering safer treatment alternatives well before conception when clinically appropriate.

The role of torso stiffness and prediction in the biomechanics of anxiety: a narrative review

Although anxiety is a common psychological condition, its symptoms are related to a cardiopulmonary strain which can cause palpitation, dyspnea, dizziness, and syncope. Severe anxiety can be disabling and lead to cardiac events such as those seen in Takotsubo cardiomyopathy. Since torso stiffness is a stress response to unpredictable situations or unexpected outcomes, studying the biomechanics behind it may provide a better understanding of the pathophysiology of anxiety on circulation, especially on venous impedance. Any degree of torso stiffness related to anxiety would limit venous return, which in turn drops cardiac output because the heart can pump only what it receives. Various methods and habits used to relieve stress seem to reduce torso stiffness. Humans are large obligatory bipedal upright primates and thus need to use the torso carefully for smooth upright activities with an accurate prediction. The upright nature of human activity itself seems to contribute to anxiety due to the needed torso stiffness using the very unstable spine. Proper planning of actions with an accurate prediction of outcomes of self and non-self would be critical to achieving motor control and ventilation in bipedal activities. Many conditions linked to prediction errors are likely to cause various degrees of torso stiffness due to incomplete learning and unsatisfactory execution of actions, which will ultimately contribute to anxiety. Modifying environmental factors to improve predictability seems to be an important step in treating anxiety. The benefit of playful aerobic activity and proper breathing on anxiety may be from the modulation of torso stiffness and enhancement of central circulation resulting in prevention of the negative effect on the cardiopulmonary system.

Gender, assigned sex at birth, and gender diversity: Windows into diagnostic timing disparities in autism

LAY ABSTRACT

Later autism diagnosis is associated with risk for mental health problems. Understanding factors related to later autism diagnosis may help reduce mental health risks for autistic people. One characteristic associated with later autism diagnosis is female sex. However, studies often do not distinguish sex assigned at birth and gender identity. Gender diversity may be more common in autistic relative to neurotypical people, and autism is more common in gender-diverse populations. We studied age at autism diagnosis by sex assigned at birth, gender identity, and gender diversity (gender-diverse vs cisgender) status, separately. We studied three separate autistic samples, each of which differed in how they were diagnosed and how they were recruited. The samples included 193 persons (8.0-18.0 years) from a research-recruited academic medical center sample; 1,550 people (1.3-25.4 years) from a clinic-based sample; and 244 people (18.2-30.0 years) from a community-enriched sample. We found significant differences in the clinic-based and community-enriched samples. People assigned female sex at birth were diagnosed with autism significantly later than people assigned male at birth. People of female gender were diagnosed significantly later than people of male gender. Gender-diverse people were diagnosed significantly later than cisgender people. Sex assigned at birth, gender identity, and gender diversity may each show unique relationships with age of autism diagnosis. Differences in how autistic people are diagnosed and recruited are important to consider in studies that examine sex assigned at birth or gender identity. More research into autism diagnosis in adulthood is needed.

Identifying autistic children: Priorities for research arising from a systematic review of parents' experiences of the assessment process

LAY ABSTRACT

Hearing about parents' experiences of having their child recognised as autistic could help improve the supports offered to parents. Our article may also help guide future research on this topic. We made a list of the type of research that interested us. We searched the studies already completed, only studying the research that matched our interests. After reading the studies, we rated their quality using the Critical Appraisal Skills Programme tool.It became clear that parents went through four phases during the identification process. The first phase occurred before their child was identified as autistic. The second involved the actual assessment of their child. Parents' emotional reactions to the news were the focus of the third phase. The final phase occurred after their child was identified as autistic. We discuss the findings of our research. As there are sensitivities involved in conducting research on this topic, we identify how researchers can ensure that their research is of the best quality. We are committed to respecting the human rights of all involved, so we emphasise the need for professionals to develop good relationships with the parents of autistic children. Researchers have recently come to see autism as typical of human diversity. We encourage the professionals involved to adopt this understanding of autistic children and make practical suggestions to enable them to do so.

A life course perspective on mental disorders and psychopharmacologic drug use among persons living with cerebral palsy

In this study, we investigated the prevalence of mental disorders and the use of psychopharmacologic drugs among individuals with cerebral palsy (CP). We studied how the association between CP and mental illness develops over the life course (between ages 5 and 65 years), and how it varies across disability specific factors (intellectual disability, gross motor function and communicative ability). We used logistic regression models on a longitudinal matched case-control data material on all persons with CP in Sweden linked to several administrative registers including, the national patient registers and the pharmaceutical registers. Our results showed that the probability of being diagnosed with mental disorders and being dispensed psychopharmacologic drug was significantly higher among persons with CP compared to persons without CP across the different outcomes [OR = 1.52-4.7]. For some mental and neurodevelopmental disorders including sleep disorders, autism, and ADHD, and for the use of anxiolytics and sedatives, there was a sizeable gap already in childhood. However, the excess burden of mental illness appeared to grow over the life course, indicating that adults with CP may be a particularly disadvantaged group. Diagnosis for mental disorders and dispensation for psychopharmacologic drugs were not consistent with respect to disability specific factors, especially communicative and intellectual function, which indicates the need for systematic approaches in the mental health care of individuals with CP.

A qualitative interview study on quality of life and ageing experiences of autistic adults

Quality of life across the lifespan has been established as a key research priority by the autism community. Still relatively little is known about the quality of life and ageing experiences of older autistic adults. Most studies to date have used generic measures of quality of life which may not accurately capture the experiences of autistic people. The aim of this qualitative study was to understand how autistic adults experience and define quality of life as they age. We conducted semi-structured interviews with 16 autistic adults aged 40+ from the UK and Luxembourg. Using reflexive thematic analysis, we identified five themes that contribute to quality of life: (1) Diagnosis is pivotal, (2) Connection with others, (3) Autonomy over space and time, (4) 'Paperwork of life', (5) Vulnerability. This study identifies autism-specific aspects of quality of life and highlights ways in which ageing and autism intersect and impact quality of life.

Perinatal and Demographic Risk Factors Associated with Autism Spectrum Disorder: A National Survey of Potential Predictors and Severity

INTRODUCTION: This study investigates autism spectrum disorders (ASD) in Greece, focusing on estimating prevalence and identifying regional disparities in children aged 4 to 7 years. MATERIALS AND METHODS: Utilizing a quantitative, descriptive, and exploratory methodology, the research employed a structured questionnaire to gather extensive maternal and child health data. RESULTS: The sample consisted of 517 mothers of children diagnosed with ASD from all over Greece, contributing to a nuanced understanding of ASD predictors. This study aims to elucidate the role of prenatal factors in the likelihood of an ASD diagnosis and their impact on the subsequent functionality of children with ASD. The study identified significant predictors of lower functionality in children with ASD, including higher maternal age, delayed ASD diagnosis, lower family income, and higher birth order. Prenatal health issues, such as vaginal bleeding and infections, also influenced functional outcomes. Notably, a family history of neurological or psychiatric conditions appeared protective. DISCUSSION: The regression model demonstrated robust predictive power, underscoring the complexity of genetic, environmental, and socioeconomic factors in ASD development. The findings advocate for early diagnosis and intervention, systematic screening, and addressing socioeconomic disparities to improve functional outcomes. The results support evidence-based service development and policy adjustments to enhance early identification, intervention, and rehabilitation for children with ASD. CONCLUSIONS: Establishing standardized case-recording procedures and an ASD register at national and regional levels is recommended for systematic monitoring and resource evaluation.

Memory strategies in autistic and older adults

Memory strategies in autistic adults seem to mimic strategies at older age, as both younger autistic and older non-autistic individuals use fewer semantic features in visual memory tasks. Therefore, the current study aims to investigate whether early differences in memory strategies lead to altered age-related effects in autism, particularly whether initial difficulties in strategy use become advantageous at older age (i.e., "protective aging"). A total of 147 participants across four groups (autistic younger/older, non-autistic younger/older) completed an online assessment. This assessment included a recognition version of the Visual Patterns Test (VPT) to evaluate semantic strategy use in visual memory, the Just Noticeable Difference (JND) size task for assessing visual processing, and the Multifactorial Memory Questionnaire to evaluate subjective memory functioning and strategy use (MMQ). Unexpectedly, all groups benefited from semantic features on the VPT, although the older groups performed less accurately and slower than the younger groups. The JND Size task showed no group differences. Autistic adults rated their MMQ memory as worse than non-autistic adults, despite reporting greater strategy use. These results indicate that cognitive strategies might be more similar between younger/older and autistic/non-autistic people than previously expected, although notable discrepancies between objective and subjective measures were present. They also substantiate previously reported parallel (i.e., similar) age-related effects between autistic and non-autistic people.

Using music to assist language learning in autistic children with minimal verbal language: The MAP feasibility RCT

LAY ABSTRACT

Research has shown that autistic individuals often have unusually good musical skills and that combining words and music helps autistic individuals to focus on spoken words. This study tests the idea that music will help with early language learning of preschool autistic children. The results show that when caregivers sing words to autistic children, the children pay more attention to the caregiver than when the words are spoken and that they learn word combinations more easily.

Relationships between Anxiety, Repetitive Behavior and Parenting Stress: A Comparative Study between Individuals with Autism from Spain and Colombia

The present study analyzed the association between anxiety, repetitive behavior and parental stress in individuals with autism from Spain (n = 60, mean age = 8.52, SD = 4.41) and Colombia (n = 58, mean age = 10.29, SD = 4.98). Similarly, differences in anxiety, repetitive behavior and parental stress between both countries were analyzed. Outcomes revealed a strong relationship between anxiety and repetitive behavior in both populations. Furthermore, moderate positive associations were observed between anxiety, repetitive behavior and parental stress in the Spanish sample. However, parental stress was found to be moderately and negatively related with anxiety and repetitive behavior in the Colombian sample. Finally, no differences were found in anxiety and repetitive behavior between countries, but differences did emerge for parental stress which was found to be higher in the Colombian sample. In conclusion, differences in parental stress may be due to regional differences in socio-health resources, socio-economics, parenting styles, etc.

Comparing the Prevalence of Psychiatric Disorders in Cohorts of Children Born Extremely Preterm in 1995 and 2006: The EPICure Studies

Objective

This study aimed to identify the prevalence of psychiatric disorders in 2 population-based cohorts of children born extremely preterm (EP) 11 years apart to ascertain whether psychiatric outcomes have changed over time following improved survival of EP children.

Method

In the EPICure2 study, 200 children born EP (22-26 weeks' gestation) in England in 2006 were assessed at 11 years of age alongside 143 term-born children. Children were assessed using the Developmental and Wellbeing Assessment (DAWBA). DSM-IV diagnoses were assigned by clinical psychiatrists for 145 EP and 98 term-born children. Outcomes were compared between a subsample of children from the EPICure2 cohort (2006, n = 76) and the earlier-born EPICure (1995, n = 161) cohort born at 22 to 25 weeks' gestation in England.

Results

EP children in EPICure2 were significantly more likely than term-born children to have any psychiatric disorder (39.3% vs 3.1%; adjusted odds ratio [OR] = 15.1, 95% CI = 4.4-51.1), emotional disorders (14.6% vs 2.0%; OR = 7.3, 95% CI = 1.6-32.7), conduct disorders (6.3% vs 0.0%, p = .01), attention-deficit/hyperactivity disorder (ADHD, 21.9% vs 2.6%; OR = 7.2; 95% CI = 1.5-33.6), and autism spectrum disorder (ASD, 18.9%; vs 0.0%, p < .001). There was no significant difference in the rates of any psychiatric disorder between EP children in the EPICure2 and EPICure cohorts.

Conclusion

EP children remain at increased risk for psychiatric disorders at 11 years of age compared with term-born peers. Increased survival has not translated into improved psychiatric outcomes. Health care professionals need to be aware of this ongoing risk when caring for children born preterm.

Psychometric exploration of the RAADS-R with autistic adults: Implications for research and clinical practice

LAY ABSTRACT

Surveys used to screen for autism are being used much more by adults. Adults and clinicians want to be confident that the results from their surveys are accurate. If scores are not accurate, it is not possible to compare the scores of different groups of individuals. There are also concerns that these surveys do not accurately identify autistic individuals. This study explored the accuracy of two commonly used autism screening surveys for adults: the RAADS-R and the RAADS-14. The accuracy of these two screening tools was measured using a sample of 839 adults. Adults in the study were in one of the following categories: (1) diagnosed with autism, (2) adults who considered themselves to be autistic but had not been diagnosed, (3) adults who were unsure whether they were autistic, and (4) adults who did not consider themselves to be autistic and had not been diagnosed. The study found that the RAADS-R and the RAADS-14 are accurate. The study also found that a person's age, gender, autism diagnosis, or whether an individual considered themselves to be autistic did not impact how they understood the survey. Survey accuracy could be improved by changing the number of question responses from four to two. Importantly, individuals with a clinical diagnosis of autism and those who considered themselves to be autistic responded to survey items in a very similar way. Individuals with autism diagnoses and those who were unsure whether they were autistic were more different in their responses. Four specific survey items related to sensory experiences and social interaction identified key differences between autistic and non-autistic adults.

Pourcain B, Robinson EB, Bourgeron T, Baron-Cohen S, Børglum AD, Martin HC, Warrier V. An axis of genetic heterogeneity in autism is indexed by age at diagnosis and is associated with varying developmental and mental health profiles

There is growing recognition that earliest signs of autism need not clearly manifest in the first three years of life. To what extent is this variation in developmental trajectories associated with age at autism diagnosis? Does the genetic profile of autism vary with age at autism diagnosis? Using longitudinal data from four birth cohorts, we demonstrate that two different trajectories of socio-emotional behaviours are associated with age at diagnosis. We further demonstrate that the age at autism diagnosis is partly heritable (h2 SNP = 0.12, s.e.m = 0.01), and is associated with two moderately correlated (rg = 0.38, s.e.m = 0.07) autism polygenic factors. One of these factors is associated with earlier diagnosis of autism, lower social and communication abilities in early childhood. The second factor is associated with later autism diagnosis, increased socio-emotional difficulties in adolescence, and has moderate to high positive genetic correlations with Attention-Deficit/Hyperactivity Disorder, mental health conditions, and trauma. Overall, our research identifies an axis of heterogeneity in autism, indexed by age at diagnosis, which partly explains heterogeneity in autism and the profiles of co-occurring neurodevelopmental and mental health profiles. Our findings have important implications for how we conceptualise autism and provide one model to explain some of the diversity within autism.

Association of difficulties in motor skills with longitudinal changes in social skills in children with autism spectrum disorder: findings from the ELENA French Cohort

Developmental coordination disorder is a frequently co-occurring condition with autism spectrum disorder (ASD). Several cross-sectional studies have reported that children with difficulties in motor skills have a higher severity of ASD symptoms. This study aims to examine the association of difficulties in motor skills with longitudinal changes in social skills in children with ASD. Participants were drawn from the ELENA cohort, a French longitudinal cohort of children with ASD. Motor skills were assessed using the Movement Assessment Battery for Children at baseline, while social skills were measured using the Autism Diagnostic Observation Schedule (ADOS-2) and the Vineland Adaptive Behavior Scales (VABS-II) at both the baseline and a follow-up assessment conducted 3 years later. A composite score of social skills was created at baseline and at both time points. Linear regression models were performed to assess the association between difficulties in motor skills and changes in social skills, considering potential confounders such as IQ, age, and gender. The sample included 162 children with ASD. Children with difficulties in global motor skills (N = 114) showed less favorable trajectories in social skills compared to those without motor difficulties. The results were consistent when examining the ADOS-2 and the VABS-II separately. This study provides evidence for the negative impact of difficulties in motor skills on the longitudinal development of social skills in children with ASD. Interventions targeting motor difficulties may have broader benefits, extending beyond motor function to improve socialization.

Contributions of Artificial Intelligence to Analysis of Gut Microbiota in Autism Spectrum Disorder: A Systematic Review

BACKGROUND

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder whose etiology is not known today, but everything indicates that it is multifactorial. For example, genetic and epigenetic factors seem to be involved in the etiology of ASD. In recent years, there has been an increase in studies on the implications of gut microbiota (GM) on the behavior of children with ASD given that dysbiosis in GM may trigger the onset, development and progression of ASD through the microbiota-gut-brain axis. At the same time, significant progress has occurred in the development of artificial intelligence (AI).

METHODS

The aim of the present study was to perform a systematic review of articles using AI to analyze GM in individuals with ASD. In line with the PRISMA model, 12 articles using AI to analyze GM in ASD were selected.

RESULTS

Outcomes reveal that the majority of relevant studies on this topic have been conducted in China (33.3%) and Italy (25%), followed by the Netherlands (16.6%), Mexico (16.6%) and South Korea (8.3%).

CONCLUSIONS

The bacteria Bifidobacterium is the most relevant biomarker with regard to ASD. Although AI provides a very promising approach to data analysis, caution is needed to avoid the over-interpretation of preliminary findings. A first step must be taken to analyze GM in a representative general population and ASD samples in order to obtain a GM standard according to age, sex and country. Thus, more work is required to bridge the gap between AI in mental health research and clinical care in ASD.

Unraveling the metabolomic architecture of autism in a large Danish population-based cohort

BACKGROUND

The prevalence of autism in Denmark has been increasing, reaching 1.65% among 10-year-old children, and similar trends are seen elsewhere. Although there are several factors associated with autism, including genetic, environmental, and prenatal factors, the molecular etiology of autism is largely unknown. Here, we use untargeted metabolomics to characterize the neonatal metabolome from dried blood spots collected shortly after birth.

METHODS

We analyze the metabolomic profiles of a subset of a large Danish population-based cohort (iPSYCH2015) consisting of over 1400 newborns, who later are diagnosed with autism and matching controls and in two Swedish population-based cohorts comprising over 7000 adult participants. Mass spectrometry analysis was performed by a timsTOF Pro operated in QTOF mode, using data-dependent acquisition. By applying an untargeted metabolomics approach, we could reproducibly measure over 800 metabolite features.

RESULTS

We detected underlying molecular perturbations across several metabolite classes that precede autism. In particular, the cyclic dipeptide cyclo-leucine-proline (FDR-adjusted p = 0.003) and the carnitine-related 5-aminovaleric acid betaine (5-AVAB) (FDR-adjusted p = 0.03), were associated with an increased probability for autism, independently of known prenatal and genetic risk factors. Analysis of genetic and dietary data in adults revealed that 5-AVAB was associated with increased habitual dietary intake of dairy (FDR-adjusted p < 0.05) and with variants near SLC22A4 and SLC22A5 (p < 5.0e - 8), coding for a transmembrane carnitine transporter protein involved in controlling intracellular carnitine levels.

CONCLUSIONS

Cyclo-leucine-proline and 5-AVAB are associated with future diagnosis of autism in Danish neonates, both representing novel early biomarkers for autism. 5-AVAB is potentially modifiable and may influence carnitine homeostasis.

Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults

BACKGROUND

Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits differently based on gender alone, their validity may be compromised as they may not be measuring the same construct across genders. Measurement invariance investigations of autism measures can help assess the validity of autism constructs for different genders. The aim of this systematic review is to identify and critically appraise the psychometric properties of all self-report tools for autism in adults that meet two criteria: (a) they have been published since or included in the NICE (2014) recommendations, and (b) they have undergone gender-related measurement invariance investigations as part of their validation process.

METHODS

A search of electronic databases will be conducted from 2014 until the present using MEDLINE, Embase, and PsycINFO using predefined search terms to identify eligible studies. The search for grey literature will include sources such as OpenGrey, APA PsycEXTRA, and Scopus. Two reviewers will independently screen titles, abstracts, and full texts for eligibility. The references of included studies will be searched for additional records. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, while psychometric quality of findings will be assessed based on criteria for good measurement properties and ConPsy checklist. The quality of the total body of evidence will be appraised using the approach outlined in the modified GRADE guidelines.

DISCUSSION

This systematic review will be among the first to assess the psychometric properties and gender-related measurement invariance of self-reported measures for autism in adults that were published since (or included in) NICE (2014) guidelines. The review will provide recommendations for the most suitable tool to assess for autism without gender bias. If no such measure is found, it will identify existing tools with promising psychometric properties that require further testing, or suggest developing a new measure.

SYSTEMATIC REVIEW REGISTRATION

The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023429350.

Are the diagnostic rates of autistic females increasing? An examination of state-wide trends

BACKGROUND

Autism has been considered a 'male-dominant' condition. However, recent research suggests that autistic females are underdiagnosed, misdiagnosed, and later diagnosed. Females may also have different and more nuanced behavioral profiles. To examine diagnosis rates of females, we used 20 years of state-wide data to characterize historical trends in the diagnosis of autism in females to determine whether the proportion of females diagnosed with autism has changed over time.

METHODS

Data were drawn from 10,247 participants (males = 8,319, females = 1928) who received an autism diagnosis between 2000 and 2021 from state-wide autism centers associated with the University of North Carolina TEACCH Autism Program.

RESULTS

The rates of females diagnosed with autism increased at a greater rate compared with males. Age of diagnosis remained consistently higher for females. Late diagnosis (defined as 13+) increased over time across both males and females, however, was more commonly associated with females, particularly those with co-occurring intellectual disability.

CONCLUSIONS

Our results indicate that the proportion of females diagnosed with autism has increased steadily over a 20-year period, which likely reflects greater societal knowledge of how autism may manifest differentially in females.

Differently different?: A commentary on the emerging social cognitive neuroscience of female autism

Autism is a neurodevelopmental condition, behaviourally identified, which is generally characterised by social communication differences, and restrictive and repetitive patterns of behaviour and interests. It has long been claimed that it is more common in males. This observed preponderance of males in autistic populations has served as a focussing framework in all spheres of autism-related issues, from recognition and diagnosis through to theoretical models and research agendas. One related issue is the near total absence of females in key research areas. For example, this paper reports a review of over 120 brain-imaging studies of social brain processes in autism that reveals that nearly 70% only included male participants or minimal numbers (just one or two) of females. Authors of such studies very rarely report that their cohorts are virtually female-free and discuss their findings as though applicable to all autistic individuals. The absence of females can be linked to exclusionary consequences of autism diagnostic procedures, which have mainly been developed on male-only cohorts. There is clear evidence that disproportionately large numbers of females do not meet diagnostic criteria and are then excluded from ongoing autism research. Another issue is a long-standing assumption that the female autism phenotype is broadly equivalent to that of the male autism phenotype. Thus, models derived from male-based studies could be applicable to females. However, it is now emerging that certain patterns of social behaviour may be very different in females. This includes a specific type of social behaviour called camouflaging or masking, linked to attempts to disguise autistic characteristics. With respect to research in the field of sex/gender cognitive neuroscience, there is emerging evidence of female differences in patterns of connectivity and/or activation in the social brain that are at odds with those reported in previous, male-only studies. Decades of research have excluded or overlooked females on the autistic spectrum, resulting in the construction of inaccurate and misleading cognitive neuroscience models, and missed opportunities to explore the brain bases of this highly complex condition. A note of warning needs to be sounded about inferences drawn from past research, but if future research addresses this problem of male bias, then a deeper understanding of autism as a whole, as well as in previously overlooked females, will start to emerge.

"I do my best to do right by her": Autistic motherhood and the experience of raising a non-autistic adolescent daughter

LAY ABSTRACT

Little is known about the parenting experiences of autistic mothers, especially those who have daughters who are not on the autism spectrum. In this study, we interviewed seven autistic mothers who have raised or are currently raising non-autistic teenage daughters. Mothers were asked to describe what parenting was/is like during their daughters' teenage years. We analyzed the transcripts of the interviews and found several common themes. Mothers described their relationships with their daughters to be loving, safe, and empathetic. Mothers described several strengths when it came to parenting, such as helping their daughters solve problems and using positive strategies to handle conflict with their daughters. Mothers also described challenges they faced when interacting with other non-autistic people and when trying to form relationships with them. Mothers tried to build their daughters' social skills so that they would not experience the same challenges. This study shows that autistic mothers have close, loving relationships with their non-autistic teenage daughters but have trouble forming relationships with other non-autistic people. It is, therefore, important that non-autistic parents are more understanding and welcoming of autistic mothers.

Cognitive Profile in Autism and ADHD: A Meta-Analysis of Performance on the WAIS-IV and WISC-V

OBJECTIVE

Previous research has suggested that neurodevelopmental conditions may be associated with distinctive cognitive profiles on the Wechsler intelligence tests (of which the most recent editions are the WAIS-IV and WISC-V). However, the extent to which a cognitive profile can be reliably identified for individuals meeting criteria for autism or ADHD remains unclear. The present review investigated this issue.

METHOD

A search was conducted in PsycInfo, Embase, and Medline in October 2022 for papers reporting the performance of children or adults diagnosed with autism or ADHD on the WAIS-IV or the WISC-V. Test scores were aggregated using meta-analysis.

RESULTS

Scores were analyzed from over 1,800 neurodivergent people reported across 18 data sources. Autistic children and adults performed in the typical range for verbal and nonverbal reasoning, but scored ~1 SD below the mean for processing speed and had slightly reduced scores on working memory. This provides evidence for a "spiky" cognitive profile in autism. Performance of children and adults with ADHD was mostly at age-expected levels, with slightly reduced scores for working memory.

CONCLUSION

Although the pattern of performance on the Wechsler tests is not sufficiently sensitive or specific to use for diagnostic purposes, autism appears to be associated with a cognitive profile of relative strengths in verbal and nonverbal reasoning and a weakness in processing speed. Attention deficit hyperactivity disorder appears less associated with a particular cognitive profile. Autistic individuals may especially benefit from a cognitive assessment to identify and support with their strengths and difficulties.

The Influence of Social and Developmental Factors on the Timing of Autism Spectrum Disorder Diagnosis of Preschool-Aged Children: Evidence from a Specialized Chilean Center

We investigated the influence of developmental and social factors on the age of autism diagnosis (AoD) in a cohort of toddlers living in Chile. A cross-sectional study was conducted among 509 preschool children diagnosed with autism spectrum disorder [M = 40.2 months (SD = 8.6), girls: 32%] in the neurodevelopmental unit of a university clinic in Santiago, Chile (2015-2023). Structural changes in the annual trend of AoD were tested. Generalized linear models (gamma distribution) with and without interaction terms were used for the multivariate analysis, adjusting for gender, residential area, year of diagnosis, developmental variables (language regression, delayed walking, and use of expressive verbal language), and primary caregiver age and education level (CEL). 95% confidence intervals of the unstandardized regression coefficients (B) were calculated using 1000 bootstrap resampling to estimate associations. AoD increased between 2021-2022 and decreased in 2023. Female gender (B = 2.72 [1.21-4.23]), no history of language regression (B = 3.97 [1.66-6.28]), and the presence of expressive verbal language at diagnosis (B = 1.57 [0.05-3.08]) were associated with higher AoD. Children whose caregivers had tertiary education were diagnosed earlier than those with ≤ 12 years of formal education. Although the influence of CEL increased with caregiver age, differences between CEL groups were significant only for caregivers aged ≥ 30 years. Improved education and early screening for clinical features of autism among healthcare professionals and the community, with a focus on young children without highly apparent developmental concerns and those from vulnerable social groups, are warranted.

A Systematic Review on Autism and Hyperserotonemia: State-of-the-Art, Limitations, and Future Directions

Hyperserotonemia is one of the most studied endophenotypes in autism spectrum disorder (ASD), but there are still no unequivocal results about its causes or biological and behavioral outcomes. This systematic review summarizes the studies investigating the relationship between blood serotonin (5-HT) levels and ASD, comparing diagnostic tools, analytical methods, and clinical outcomes. A literature search on peripheral 5-HT levels and ASD was conducted. In total, 1104 publications were screened, of which 113 entered the present systematic review. Of these, 59 articles reported hyperserotonemia in subjects with ASD, and 26 presented correlations between 5-HT levels and ASD-core clinical outcomes. The 5-HT levels are increased in about half, and correlations between hyperserotonemia and clinical outcomes are detected in a quarter of the studies. The present research highlights a large amount of heterogeneity in this field, ranging from the characterization of ASD and control groups to diagnostic and clinical assessments, from blood sampling procedures to analytical methods, allowing us to delineate critical topics for future studies.

Temporal changes in the associations between diagnosed psychiatric disorders and dropping out of school early

Psychiatric problems are risk markers for poor educational attainment. The number of adolescents receiving treatment has increased. We investigated whether the association between psychiatric problems in early adolescence and dropping out of school had changed. We used the register-based 1987 and 1997 Finnish Birth Cohort studies, which include all live births in Finland. Hospital districts with incomplete records were excluded, leaving 25,421 participants born in 1987 and 32,025 born in 1997. The main outcome was not having applied for secondary education by the year the cohort members turned 18. Our main predictors were psychiatric and neurodevelopmental disorders diagnosed by specialized services during 1998-2003 and 2008-2013, when the cohort members were 10-16 years old. We found that 511 (2.0) of subjects born in 1987 and 499 (1.6%) born in 1997 dropped out of school. Having any diagnosis at 10-16 of age was associated with dropping out of school early in both cohorts: 3.9% in 1987 and 4.8% in 1997. The highest proportions were in the subgroup with autism spectrum disorders (ASD), 19.4% in 1987 and 16.2% in 1997. Dropping out early increased among adolescents diagnosed with any psychiatric or neurodevelopmental disorder, from 3.9 to 4.8%, with the clearest increase for learning disabilities, from 3.4 to 9.0%. Dropping out decreased for those with depression, from 4.5 to 2.1%. Adolescents with psychiatric and especially neurodevelopmental disorders, need effective interventions to prevent them dropping out of school early. Increased detection of psychopathology did not result in decreased dropout rates.