Timing of diagnosis, depression and self-harm in adolescents with autism spectrum disorder

Time is of the essence: Age at autism diagnosis, sex assigned at birth, and psychopathology

LAY ABSTRACT

Previous research has shown that girls/women are diagnosed later than boys/men with autism. Individuals who are diagnosed later in life, especially girls/women, have greater anxious and depressive symptoms. Previous research has been limited due to narrow inclusionary criteria for enrollment in studies. The present study uses two samples-one clinic-based, large "real-world" sample and another research-based sample with strict criteria for autism diagnosis-to understand the relationships between diagnostic age, sex assigned at birth, and symptoms of anxiety/depression. In both samples, those who were diagnosed later had greater anxious/depressive symptoms, and anxiety was not predicted by sex. In the clinic-based but not research-based sample, those assigned female at birth were diagnosed later than those assigned male at birth. In the clinic-based sample only, individuals assigned female at birth and who were later diagnosed experienced greater symptoms of anxiety/depression compared to those assigned male who benefited from earlier diagnostic timing. Within the research-based sample, those assigned female at birth had greater depressive symptoms than those assigned male. These findings highlight the importance of timely identification of autism, especially for girls/women who are often diagnosed later. Community-based samples are needed to better understand real-world sex-based and diagnostic age-based disparities in mental health.

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.

Suicidal Thoughts and Behaviors in People on the Autism Spectrum

PURPOSE OF REVIEW

This review synthesizes recent research on suicidal thoughts and behaviors among autistic individuals. We present literature on risk and protective factors, risk assessment, intervention, and crisis services, and recommendations for future research.

RECENT FINDINGS

Literature on this topic has grown substantially in recent years. Areas of advancement include improved understanding of risk factors (e.g., Interpersonal Theory of Suicide constructs, autistic burnout, mental health conditions, cognitive factors, diagnosis timing, emotion dysregulation), screening, assessment, acute-care services, and suicide-specific psychosocial treatments (e.g., safety planning, dialectical behavior therapy). Gaps include protective factors, impact of intersectional identities, and tailored approaches to screening, assessment, and intervention. Heightened awareness of suicide risk in autistic individuals has led to increased understanding of why autistic individuals think about and attempt suicide and the strategies used to identify and reduce suicide risk. We recommend community-partnered, multi-faceted, and strength-based approaches to inform tailored prevention and intervention efforts.

Major Depressive Disorder with Catatonia: A Phenotype Related to Autistic Traits and High Suicidality

Background: Major Depressive Disorder (MDD) represents a significant global health concern, often complicated by comorbidities such as catatonia and autism spectrum disorder (ASD). Recognizing the interplay among these conditions and their impact on suicidal tendencies is crucial for effective clinical management. Methods: A total sample of 147 subjects with MDD was divided into Significant Catatonia (SC) and Non-Significant Catatonia (NSC) groups based on Catatonia Spectrum (CS) scores. Participants were evaluated through the Structured Clinical Interview for DSM-5, Research Version (SCID-5-RV), the Adult Autism Subtreshold Spectrum (AdAS Spectrum), and the Mood Spectrum-Self Report questionnaires. Statistical analyses included Mann-Whitney U test, Chi-square test, logistic regression analyses, and a decision tree model. Results: The SC group exhibited higher CS, AdAS Spectrum, and MOODS-SR total and domain scores compared to the NSC group. Individuals with significant autistic traits were over-represented in the SC group, as well as participants with higher suicidality, suicidal ideation, and a history of suicide attempts. The total AdAS Spectrum and MOOD-SR score, the AdAS domain "Hyper-hypo reactivity to sensory input", and the "Cognitive depressive" MOOD-SR domain were predictive of belonging to the SC group. Suicidality levels appeared to be higher in clinically significant ASD, intermediate in subjects with autistic traits (AT), and low in the absence of AT. Conclusions: the study suggests the existence of a specific phenotype of MDD associated with catatonia, characterized by elevated autistic traits and suicide risk.

Predictors of Depressive Symptoms in Autistic Youth-A Longitudinal Study From the Province of Ontario Neurodevelopmental Disorders (POND) Network: Prédicteurs des symptômes dépressifs chez les jeunes autistes-une étude longitudinale du Réseau des troubles neurodéveloppementaux de la province de l'Ontario (réseau POND)

OBJECTIVE

The objective of this study was to identify longitudinal predictors of depressive symptoms in autistic children and youth.

METHODS

Participants were youth with a diagnosis of autism who were part of the Province of Ontario Neurodevelopmental Disorders Network longitudinal substudy. Depressive symptoms were assessed using the child behaviour checklist (CBCL) affective problems subscale. Univariate and multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between clinical and demographic characteristics at baseline (T1) and clinically elevated depressive symptoms (CEDS) approximately 4 years later (T2).

RESULTS

The mean age of participants (n = 75) at T1 was 9.8 years (SD = 2.7) and at T2 was 14.1 years (SD = 2.8). A total of 37% and 35% of participants had CEDS at T1 and T2, respectively. Additionally, 24% of participants had CEDS at both T1 and T2. T1 characteristics associated with T2 CEDS were: loneliness (OR = 3.0, 95% CI, 1.1 to 8.8), self-harm (OR = 4.0, 95% CI, 1.1 to 16.9), suicidal ideation (OR = 3.9, 95% CI, 1.0 to 16.5), more social and adaptive skills (OR = 0.3, 95% CI, 0.1 to 0.9), elevated restricted and repetitive behaviours (OR = 3.8, 95% CI, 1.3 to 11.6), psychotropic medication use (OR = 3.0, 95% CI, 1.1 to 8.4), attention-deficient/hyperactivity disorder (OR = 2.8, 95% CI, 1.1 to 7.8), and T1 CEDS (OR = 8.8, 95% CI, 3.1 to 27.0) (uncorrected for multiple comparisons). Associations persisted after adjusting for age and intelligence quotient (IQ) differences. Age, sex, IQ, teasing/bullying on the CBCL, family psychiatric history and family income were not associated with T2 CEDS.

CONCLUSION

Our results highlight both high prevalence and high potential for the persistence of depressive symptoms in autism and emphasize the importance of early support to address loneliness and social participation.

Foster Care Involvement Among Youth With Intellectual and Developmental Disabilities

Importance

Youth with intellectual and developmental disabilities (I/DD) are more likely to be placed in foster care than other youth. Examining the clinical and sociodemographic characteristics of youth with I/DD in the foster care system is critical for identifying disparities and understanding service needs.

Objective

To produce a population-level analysis of youth with I/DD in foster care that examines differences in rates of foster care involvement based on race, ethnicity, age, and sex.

Design, Setting, and Participants

This cross-sectional study involved all individuals with I/DD 21 years and younger enrolled in Medicaid through foster care in 2016 via data from Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) for all 50 US states and Washington, DC. As a key insurer of I/DD services and foster care, Medicaid claims offer a timely population-level analysis. Youth with I/DD were grouped into diagnostic subgroups: autism spectrum disorder (ASD) only, intellectual disability only, or ASD and ID. The data analysis took place from July 2022 to September 2023.

Exposure

TAF data contain Medicaid enrollment information by month with a binary indicator of foster care involvement, and eligibility files identify race, ethnicity, age, and sex.

Main Outcomes and Measures

The period prevalence of foster care involvement was determined among I/DD youth by diagnostic subgroups using an intersectional approach across race, ethnicity, age, and sex. Logistic regression examined associations between risk for foster care involvement and race, ethnicity, age, and sex.

Results

A total of 39 143 youth with I/DD had foster care involvement in 2016. Black youth (adjusted odds ratio [aOR], 1.37; 95% CI, 1.28-1.47) and females (aOR, 1.18; 95% CI, 1.1-1.27) had increased likelihood for foster care involvement. The likelihood for foster care involvement increased with age in all groups relative to the age group 0 to 5 years old.

Conclusions and Relevance

This study found that among youth with I/DD, Black youth and females faced higher risk for foster care involvement, and the likelihood of foster care involvement increased with age. There is an urgent need for research that focuses on addressing system-level factors that drive increased risk. Understanding the specific health needs of Black and female youth with I/DD is critical to ensure the formation, implementation, and monitoring of equitable delivery of health services.

Potential Mechanisms Underlying Suicidality in Autistic People with Attention Deficit/Hyperactivity Disorder: Testing Hypotheses from the Interpersonal Theory of Suicide

Background

Autistic people with co-occurring attention deficit/hyperactivity disorder (ADHD) appear to be at heightened risk of suicide. To understand why, we explored two explanatory mechanisms from the interpersonal theory of suicide: first, that co-occurring ADHD might be associated with greater risk through greater thwarted belongingness and perceived burdensomeness and, secondly, that hyperactive/impulsive features might incur additional risk through their association with painful and provocative events, which are suggested to create "capability" for suicide.

Methods

Autistic adults (n = 314) completed an online survey including measures of thwarted belongingness, perceived burdensomeness, painful and provocative events, acquired capability for suicide, and ADHD features. Creating an overall index of likely ADHD, we examined associations between likely ADHD, suicide ideation, and lifetime suicide attempts through the parallel mediators of thwarted belongingness, perceived burdensomeness, anxiety, and depression. In several models, we then examined hyperactive, impulsive, and inattentive features as predictors of exposure to painful and provocative events and subsequent capability for suicide, and examined whether these two variables, sequentially or individually, mediated an association with lifetime suicide attempts.

Results

Likely ADHD was associated with past-year suicide ideation through greater depression and perceived burdensomeness, which also mediated its association with more suicide attempts. Hyperactive and impulsive features were associated with exposure to painful and provocative events and through this acquired suicide capability. Both features were associated with more numerous suicide attempts through these two mediators sequentially, and through exposure to painful and provocative events alone.

Conclusions

These data suggest that suicidality in autistic people with ADHD may be partially related to perceived burdensomeness and to acquired suicide capability after exposure to painful and provocative events. However, as we observed a pathway to suicidality associated with painful and provocative events alone, it is likely that there are also other explanatory mechanisms for the influence of traumatic events on suicide risk.

Adolescents With Autism Spectrum Disorder: Diagnostic Patterns, Co-occurring Conditions, and Transition Planning

PURPOSE

The objectives of this study were to describe child characteristics associated with later autism spectrum disorder (ASD) identification and the health status and educational transition plans of adolescents with ASD.

METHODS

Longitudinal population-based surveillance cohort from the Autism Developmental Disabilities Monitoring Network during 2002-2018 in five catchment areas in the United States. Participants included 3,148 children born in 2002 whose records were first reviewed for ASD surveillance in 2010.

RESULTS

Of the 1,846 children identified in the community as an ASD case, 11.6% were first identified after age 8 years. Children who were more likely to have ASD identified at older ages were Hispanic; were born with low birth weight; were verbal; had high intelligence quotient or adaptive scores; or had certain co-occurring neuropsychological conditions by age 8 years. By age 16 years, neuropsychological conditions were common with more than half of the adolescents with ASD having a diagnosis of attention-deficit/hyperactivity disorder or anxiety. Intellectual disability (ID) status was unchanged for the majority (>80%) of children from ages 8-16 years. A transition plan was completed for over 94% of adolescents, but disparities were observed in planning by ID status.

DISCUSSION

A high percentage of adolescents with ASD have co-occurring neuropsychological conditions, markedly higher than at age 8. While most adolescents had transition planning, this occurred less often for those with ID. Ensuring access to services for all people with ASD during adolescence and transition to adulthood may help to promote overall health and quality of life.

The Intersection of Autism and Transgender and Nonbinary Identities: Community and Academic Dialogue on Research and Advocacy

Many transgender people are autistic. Community expressions of the autism transgender intersection abound. Some commentators have questioned the proportional overrepresentation of autism among gender-diverse people, suggesting these individuals may not be truly autistic or truly transgender. However, increasing evidence challenges assertions that deny the authenticity of co-occurring autistic and transgender identities. Specifically, research by authors of this article indicates autistic transgender people show neurophenotypes generally consistent with cisgender autistic people and implicit gender phenotypes consistent with nonautistic transgender people. This article features a dialogue between eight leading experts in the field of intersectional autism and gender diversity, including clinicians, researchers, community advocates, and experts who are themselves autistic transgender. Key topics of discussion included: how research findings on autism and gender diversity inform respectful and supportive responses to autistic transgender people; the benefits and harms of increased societal attention toward the autism transgender intersection; and research and advocacy priorities. The expert panel concluded the following: (1) it is important to respect transgender autistic people's wellness and resilience, while also acknowledging the pathologization and stigmatization they face; (2) autistic gender-diverse people are experts of their own identity and should be involved in all aspects of research and clinical care; (3) research is needed to understand the disparities autistic transgender people face; (4) attempts to restrict autistic transgender people's access to gender care are unsupported by existing research; (5) adult gender care may benefit from incorporating universal design principles and neurodiversity-affirming strategies to reduce barriers to care and improve clinician-client communication in treatment delivery and the informed consent process; (6) cross-cultural and cross-societal research will improve best care practices in diverse contexts; (7) research and advocacy must be inclusive across ethnoracial identities, including in leadership and perspectives represented; and (8) a life span developmental framework is needed for adult research in this field.

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning

Autism is a multifaceted neurodevelopmental condition whose accurate diagnosis may be challenging because the associated symptoms and severity vary considerably. The wrong diagnosis can affect families and the educational system, raising the risk of depression, eating disorders, and self-harm. Recently, many works have proposed new methods for the diagnosis of autism based on machine learning and brain data. However, these works focus on only one pairwise statistical metric, ignoring the brain network organization. In this paper, we propose a method for the automatic diagnosis of autism based on functional brain imaging data recorded from 500 subjects, where 242 present autism spectrum disorder considering the regions of interest throughout Bootstrap Analysis of Stable Cluster map. Our method can distinguish the control group from autism spectrum disorder patients with high accuracy. Indeed the best performance provides an AUC near 1.0, which is higher than that found in the literature. We verify that the left ventral posterior cingulate cortex region is less connected to an area in the cerebellum of patients with this neurodevelopment disorder, which agrees with previous studies. The functional brain networks of autism spectrum disorder patients show more segregation, less distribution of information across the network, and less connectivity compared to the control cases. Our workflow provides medical interpretability and can be used on other fMRI and EEG data, including small data sets.

Case report: Treatment-resistant depression, multiple trauma exposure and suicidality in an adolescent female with previously undiagnosed Autism Spectrum Disorder

High rates of co-occurring depression are commonly reported in youth with Autism Spectrum Disorder (ASD), especially in individuals without intellectual disability (ID). Depression in ASD undermines adaptive behavior and is associated with a higher risk of suicidality. Females with ASD may be particularly vulnerable due to their greater use of camouflaging strategies. Indeed, in comparison to males, ASD is underdiagnosed in females, despite higher rates of internalizing symptoms and suicidality. Trauma exposure may also play a role in the development of depressive symptoms in this population. Moreover, evidence for effective treatments of depression in autistic youth are lacking, with ASD individuals frequently experiencing low efficacy and side effects. We present the case of an adolescent female with previously undiagnosed ASD without ID, admitted for active suicidal plans and a treatment-resistant depression (TRD), occurred after a COVID-19 lockdown in the context of cumulative exposure to stressful life events. Comprehensive clinical assessments performed at intake confirmed severe depression with suicidality. Intensive psychotherapy and different changes in medications were carried out (SSRI, SNRI, SNRI + NaSSA, SNRI + aripiprazole), all of which were ineffective, with persistent suicidal thoughts, often requiring intensive individual monitoring. The patient was finally successfully treated with lithium augmentation of fluoxetine, with no side effects. During hospitalization she was also evaluated by an ASD specialized center, where a diagnosis of ASD was made according to the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R) scores, as well as to clinical judgment of a senior psychiatrist. The present case report shows that clinicians should not overlook undiagnosed autism as a possible cause of TRD, especially in females without ID, where higher rates of under diagnosis may be in part related to their greater use of camouflage. It also suggests that ASD underdiagnosis and resulting unmet needs may be involved in vulnerability to stressful experiences, depression, and suicidality. Furthermore, it shows the complexity of providing care to TRD in youth with autism, suggesting that an augmentation therapy with lithium, a commonly recommended therapeutic strategy for refractory depression in typically developing samples, may also be effective in this population.

Mental-health before and during the COVID-19 pandemic in adults with neurodevelopmental disorders

The COVID-19 pandemic negatively impacted mental health globally. Individuals with neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), are at elevated risk of mental health difficulties. We investigated the impact of the pandemic on anxiety, depression and mental wellbeing in adults with NDDs using data from the Avon Longitudinal Study of Parents and Children (n = 3058). Mental health data were collected pre-pandemic (age 21-25) and at three timepoints during the pandemic (ages 27-28) using the Short Mood and Feelings Questionnaire, Generalized Anxiety Disorder Assessment-7, and Warwick Edinburgh Mental Wellbeing Scale. ADHD and ASD were defined using validated cut-points of the Strengths and Difficulties Questionnaire and Autism Spectrum Quotient, self-reported at age 25. We used multi-level mixed-effects models to investigate changes in mental health in those with elevated ADHD/ASD traits compared to those without. Prevalences of depression, anxiety and poor mental wellbeing were higher at all timepoints (pre-pandemic and during pandemic) in those with ADHD and ASD compared to those without. Anxiety increased to a greater extent in those with ADHD (β = 0.8 [0.2,1.4], p = 0.01) and ASD (β = 1.2 [-0.1,2.5], p = 0.07), while depression symptoms decreased, particularly in females with ASD (β = -3.1 [-4.6,-1.5], p = 0.0001). On average, mental wellbeing decreased in all, but to a lesser extent in those with ADHD (β = 1.3 [0.2,2.5], p = 0.03) and females with ASD (β = 3.0 [0.2,5.9], p = 0.04). To conclude, anxiety disproportionately increased in adults with NDDs during the pandemic, however, the related lockdowns may have provided a protective environment for depressive symptoms in the same individuals.

Practitioner Review: Attention-deficit hyperactivity disorder and autism spectrum disorder - the importance of depression

Young people with neurodevelopmental disorders, such as attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), show high rates of mental health problems, of which depression is one of the most common. Given that depression in ASD and ADHD is linked with a range of poor outcomes, knowledge of how clinicians should assess, identify and treat depression in the context of these neurodevelopmental disorders is much needed. Here, we give an overview of the latest research on depression in young people with ADHD and ASD, including possible mechanisms underlying the link between ADHD/ASD and depression, as well as the presentation, assessment and treatment of depression in these neurodevelopmental disorders. We discuss the implications for clinicians and make recommendations for critical future research in this area.

Looking through rainbow-rimmed glasses: Taking neurodiversity perspective is related to subjective well-being of autistic adults

Finding new ways of supporting the well-being of autistic adults is an essential goal for research and practice. We tested the predictive value of attitudes towards autism (as neurodiversity or as a disorder) and identification with other autistic people, on the psychological distress and self-esteem of autistic adults ( n = 109). Adopting a neurodiversity attitude not only predicted higher self-esteem but also served as a protective factor against the negative impact of identification with other autistic people on psychological distress. These findings show that clinicians should be sensitive to the way autistic people understand autism and the extent to which they identify with the autism community, as these factors relate to their well-being.

Lay abstract

Autistic adults experience a high level of distress. Finding new ways to support their well-being is an important goal for researchers and clinicians. We assessed the way autistic adults view their autism, as a disorder or as a type of mind (neurodiversity), and the level they integrate with other autistic people, and we checked how those factors contribute to their well-being. People who see autism rather as a type of mind than as a disorder had higher self-esteem. People who view themselves as more similar to other autistic people felt more stressed, but this result was not accurate for people who view autism as a type of mind. Clinicians should be sensitive to the way autistic people understand autism and to what extent they identify with the autism community, because it may relate to their well-being.

Mental health and social difficulties of late-diagnosed autistic children, across childhood and adolescence

BACKGROUND

Autism can be diagnosed from 2 years of age, although most autistic people receive their diagnosis later than this after they have started education. Research is required to understand why some autistic children are diagnosed late, and the level and nature of unmet need prior to diagnosis for late-diagnosed children.

METHODS

We examined trajectories of emotional, behavioural and social difficulties (EBSDs) across childhood and adolescence, comparing 'earlier-diagnosed' (diagnosed 7 years or younger) with 'late-diagnosed' (diagnosed between 8 and 14 years) autistic children. Data were from the Millennium Cohort Study, a population-based UK birth cohort. EBSDs were measured using the parent-report Strengths and Difficulties Questionnaire, at 3, 5, 7, 11 and 14 years. We used Growth Curve Modelling to investigate levels and rates of change in these difficulties, and to compare earlier- (n = 146) and late-diagnosed (n = 284) autistic children.

RESULTS

Aged 5, earlier-diagnosed autistic children had more emotional (i.e., internalising), conduct, hyperactivity and social difficulties; although clinical difficulties in these areas were nevertheless common in late-diagnosed children. There was a faster annual increase in scores for all domains for late-diagnosed children, and by age 14 years, they had higher levels of EBSDs. These results persisted when we ran adjusted models, to account for the late-diagnosed group having higher rates of late-diagnosed attention deficit/hyperactivity disorder, higher IQ, a higher proportion of females and older and more educated mothers.

CONCLUSIONS

Emotional, behavioural and social difficulties are associated with, and may influence, the timing of autism diagnosis. Late-diagnosed autistic children often have high levels of mental health and social difficulties prior to their autism diagnosis, and tend to develop even more severe problems as they enter adolescence.

Associations between co-occurring conditions and age of autism diagnosis: Implications for mental health training and adult autism research

Adult autism studies are increasingly comprised of later-diagnosed adults, yet little is known about how these adults compare to those diagnosed earlier in life. The present study examines medical and psychiatric conditions endorsed by autistic adults and documents differences between those diagnosed with ASD in childhood versus adulthood, as well as across age groups and sex at birth. 4657 legally independent adults (ages 18-85, M = 33.4 years) with professional ASD diagnoses who completed a medical questionnaire were drawn from the Simons Powering Autism Research Knowledge (SPARK) study. Chi square analyses, t-tests, and logistic regressions were used to compare medical and psychiatric conditions between age groups, sex at birth and adults diagnosed in childhood (before age 21) versus adulthood (at or after 21 years). Overall number of conditions endorsed as being diagnosed by a professional was high, with an average of 1.69 (SD = 2.01) medical or developmental and 2.98 (SD = 2.29) psychiatric conditions reported across the sample. Females were more likely to endorse psychiatric conditions (OR = 1.68). Adult-diagnosed adults were more likely to endorse psychiatric conditions (OR = 2.71) and reported more lifetime psychiatric diagnoses (M = 3.15, SD = 2.23) than their childhood-diagnosed counterparts (M = 2.81, SD = 2.33). These findings underscore the need for research to better understand and treat co-occurring psychiatric conditions in autistic adults and report and consider the age of diagnosis in adult autism samples. Moreover, results suggest it is imperative that mental health professionals receive autism training to promote accurate differential diagnosis and equitable access to mental health care for autistic adults with co-occurring psychiatric conditions.

Longitudinal trajectories of mental health and loneliness for Australian adolescents with-or-without neurodevelopmental disorders: the impact of COVID-19 school lockdowns

BACKGROUND

The impact of COVID-19 (SARS-CoV-2) pandemic school lockdowns on the mental health problems and feelings of loneliness of adolescents with neurodevelopmental disorders (NDDs) is hypothesized to be greater than that of their non-NDD peers. This two and a half year longitudinal study compared changes in the mental health and loneliness of Western Australian adolescents pre-COVID-19 (November 2018 and April 2019), immediately prior to COVID-19 school lockdowns (March 2020), and post schools reopening (July/August 2020).

METHODS

An age-and-gender matched sample of 476 adolescents with-or-without NDDs completed online assessments for mental health and loneliness.

RESULTS

Adolescents with NDDs reported elevated levels of adverse mental health across all four waves of data collection. These young people experienced little change in mental health problems and feelings of loneliness over time, and any increase during school lockdowns returned to, or fell below pre-COVID-19 levels once schools reopened. In comparison, adolescents without NDDs experienced significant increases from a low baseline in depression symptoms, externalizing symptoms, feelings of isolation, and having a positive attitude to being alone, and evidenced a significant decline in positive mental wellbeing. Quality of friendships were unaffected by COVID-19 school lockdowns for all adolescents regardless of NDD status. Of the adolescents with NDDs, those with Attention-Deficit/Hyperactivity Disorder reported a significant increase in positive mental wellbeing following school lockdowns.

CONCLUSIONS

Adolescents with NDDs emerged relatively unscathed from COVID-19 school lockdowns and the short term impacts associated with these were not maintained over time. These findings should be considered in the context of this study's geographical location and the unpredictability of school lockdowns. Learning to live with school lockdowns into the future may be a critical element for further investigation in the context of interventions.

Racial and Ethnic Differences in Rates and Age of Diagnosis of Autism Spectrum Disorder

This cohort study uses electronic health record data to assess racial and ethnic disparities in prevalence or median age of diagnosis of autism spectrum disorder in children.

A Virtual Reality Based System for the Screening and Classification of Autism

Autism - also known as Autism Spectrum Disorders or Autism Spectrum Conditions - is a neurodevelopmental condition characterized by repetitive behaviours and differences in communication and social interaction. As a consequence, many autistic individuals may struggle in everyday life, which sometimes manifests in depression, unemployment, or addiction. One crucial problem in patient support and treatment is the long waiting time to diagnosis, which was approximated to thirteen months on average. Yet, the earlier an intervention can take place the better the patient can be supported, which was identified as a crucial factor. We propose a system to support the screening of Autism Spectrum Disorders based on a virtual reality social interaction, namely a shopping experience, with an embodied agent. During this everyday interaction, behavioral responses are tracked and recorded. We analyze this behavior with machine learning approaches to classify participants from an autistic participant sample in comparison to a typically developed individuals control sample with high accuracy, demonstrating the feasibility of the approach. We believe that such tools can strongly impact the way mental disorders are assessed and may help to further find objective criteria and categorization.

The relevance of the interpersonal theory of suicide for predicting past-year and lifetime suicidality in autistic adults

Background

While there are known risk factors for suicidality in autistic adults, these are often unconnected from theoretical frameworks that might explain why risk is elevated and guide clinical interventions. The present study investigated the relevance of constructs from the Interpersonal Theory of Suicide (ITS), including perceived burdensomeness, thwarted belongingness and acquired capability for suicide, and explored mechanisms through which certain risk factors (relationship status, age at diagnosis) might elevate suicide risk.

Methods

Autistic adults (n = 314) completed an online study including measures of depression, anxiety and constructs from the ITS. Linear and multinomial regression analysis disentangled contributions of ITS variables from effects of depression and anxiety for past-year suicide ideation, past-year and lifetime suicide attempts. Mediation analyses examined associations between risk factors and these suicide outcomes via mechanisms proposed by the ITS.

Results

Past-year suicide ideation was associated with burdensomeness, mental rehearsal of suicide plans (a facet of acquired capability), and depression. Greater feelings of burdensomeness, and reduced fear of death, marked out participants who had attempted suicide in comparison to those who had experienced suicide ideation in the past year. Relationship status was indirectly associated with past-year suicide ideation via the mediators of depression and burdensomeness, and was associated with past-year attempts via its effect on ideation. Age at diagnosis was unrelated to any variables.

Limitations

Cross-sectional research is insensitive to causality and temporal dynamics, which is likely why interaction hypotheses from the ITS were unsupported. Normative measures may be invalid in autistic samples. There was no control group. The autistic sample was unrepresentative of the whole population, particularly autistic people with intellectual disabilities, ethnic/racial minorities, and gender minorities.

Conclusions

Perceived burdensomeness and acquired capability appear potentially important to suicide in autistic people, and may mediate the effects of some risk factors. Future research should explore the temporal dynamics of suicide trajectories in longitudinal, prospective designs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13229-022-00495-5.

Duration of untreated autism in rural America: emerging public health crisis

The rural areas have been at the receiving end amidst mental health disparity across the USA. There is a serious and concerning divide among ones with autism spectrum disorders (ASDs) living in underserved areas as compared to urban residents. With the higher than ever prevalence of ASD as per the recent reports of the Centers for Disease Control and Prevention; there is a need for a closer look at the prevailing issues. The trends are reflecting marked underdiagnosis, late diagnosis, lack of evidence-based diagnostic measures and interventions. These factors interplay in worsening the mental health crisis and there is an urgent need for corrective measures to address these highly modifiable problems.

Case Report: Mechanisms in Misdiagnosis of Autism as Borderline Personality Disorder

Autistic individuals without intellectual disabilities are sometimes not diagnosed until adolescence/adulthood. Due to increased risk of co-occurring mental health problems, these individuals may initially be referred to general, mental health services and not always be identified as autistic; some may be misdiagnosed with personality disorder (PD) prior to identification of autism. To explore possible mechanisms in misdiagnosis of autism, we report on the case of a young man with severe, non-suicidal self-injury (NSSI) and attention deficit disorder (ADD) who had been diagnosed with and treated for borderline PD prior to being diagnosed with autism. Following reassessment by mental health clinicians with experience of working with autistic individuals, the patient was diagnosed with autism, ADD, and depression—but not PD. Experiences from this case suggest that presence of co-occurring NSSI, depression, and ADD, as well as lack of comprehensive assessment and lack of autism knowledge in general mental health services, may contribute to risk that autism is misdiagnosed as PD. These findings highlight the need for autism expertise in general mental health services to facilitate appropriate diagnosis for autistic individuals who encounter these services, as well as the importance of undertaking comprehensive assessments.

Factors associated with age at autism diagnosis in a community sample of Australian adults

Autism diagnosis in adulthood has become increasingly common due to a range of factors including changes in awareness, diagnostic criteria, and professional practices. Past research identified a range of demographic and autism-related factors associated with autism diagnosis age in children. However, it is unclear whether these apply to autistic adults. This study aimed to examine predictors of autism diagnosis age in adults while controlling for current age and autistic traits. We used a cross-sectional sample of 657 adults aged 15-80 from three self and carer-report studies: the Australian Longitudinal Study of Autism in Adulthood (ALSAA), Study of Australian School-Leavers with Autism (SASLA) and Pathways, Predictors and Impact of Receiving an Autism Spectrum Diagnosis in Adulthood (Pathways). Using hierarchical multiplicative heteroscedastic regression, we found that older current age and higher self-reported autistic traits predicted older diagnosis age, and that female gender, lack of intellectual disability, language other than English, family history of autism, lifetime depression, and no obsessive-compulsive disorder predicted older diagnosis age beyond current age and autistic traits. The paradoxical relationship between high autistic traits and older diagnosis age requires further investigation. Based on these findings, we recommended strategies to improve autism recognition in women and people from non-English-speaking backgrounds. Future studies could extend the findings by examining the effects of childhood and adulthood socioeconomic status on adult diagnosis age.

Community-based Parent Education for Caregivers of Children Newly Diagnosed with Autism Spectrum Disorder

Parents of children with autism spectrum disorder (ASD) frequently report high levels of stress related to the process of receiving an ASD diagnosis and navigating the intervention landscape. Parent education programs offer one approach to providing families with support, information, and resources following a child's diagnosis. Given the heterogeneity of such programs, there have been calls within the literature for increased characterization and systematic evaluation of this type of parent-focused intervention. The present study describes the structure and content of a community-based, group-format parent education program for families of children newly diagnosed with ASD. Following program participation, parents reported reductions in parenting stress, increases in knowledge and empowerment, and high levels of satisfaction. Implications and future research directions are discussed.