The Predictive Value of the AQ and the SRS-A in the Diagnosis of ASD in Adults in Clinical Practice

Sex differences in autism screening: An examination of the Childhood Autism Spectrum Test-Hebrew version

LAY ABSTRACT

Autism is a neurodevelopmental condition, characterized by social communication alterations and restricted, repetitive behaviors. Typically diagnosed in early childhood, screening and diagnosis at a later age can be challenging, particularly in girls who exhibit a wider range of behaviors and characteristics. Our study set out to examine the effectiveness of the Hebrew translation of the Childhood Autism Spectrum Test, a parent report questionnaire, in identifying these diverse characteristics of autism within an Israeli sample of boys and girls. We examined parent reports on 403 (211 autistic, 192 non-autistic) children, aged 4-12 years. Results revealed the Childhood Autism Spectrum Test-Hebrew version was a valuable tool in differentiating between autistic and typically developing children, correctly identifying 93% of children with autism and 82% of typically developing children. In addition, specific items of the Childhood Autism Spectrum Test-Hebrew version were particularly useful in differentiating between autistic and non-autistic boys and autistic and non-autistic girls. Using these items, in addition to the overall score of the questionnaire, increased the correct identification of children as autistic or typically developing, especially in girls. The Childhood Autism Spectrum Test-Hebrew version test results corresponded well with the Autism Diagnostic Interview-Revised, which relies on parental input, but not with the clinician-administered Autism Diagnostic Observation Schedule-2. Our findings highlight the potential benefits of gender-specific tools to better support correct identification of autism in boys and in girls. More research is recommended to further explore these gender differences and to validate our findings with a larger, diverse group.

Measuring the Autistic Women's Experience (AWE)

We developed a Dutch questionnaire called the Autistic Women's Experience (AWE) and compared its psychometric properties to the Autism Spectrum Quotient (AQ). Whilst attenuated gender differences on the AQ have been widely replicated, this instrument may not fully capture the unique experience of autistic women. The AWE was co-developed with autistic women to include items that reflect autistic women's experience. We investigated the AWE (49 items) and compared it with the AQ (50 items) in Dutch autistic individuals (N = 153, n = 85 women) and in the general population (N = 489, n = 246 women) aged 16+. Both the AQ and AWE had excellent internal consistency and were highly and equally predictive of autism in both women and men. Whilst there was a gender difference on the AQ among non-autistic people (men > women), there was no gender difference among autistic people, confirming all earlier studies. No gender differences were detected on the AWE overall scale, yet subtle gender differences were observed on the subscales. We conclude that the AQ is valid for both genders, but the AWE provides an additional useful perspective on the characteristics of autistic women. The AWE needs further validation in independent samples using techniques that allow for testing gender biases, as well as a confirmatory factor analysis in a larger sample.

Measuring the prevalence of autistic traits in a cohort of adults living with HIV or taking HIV pre-exposure prophylaxis and mapping safer-sex barriers and facilitators: a study protocol

INTRODUCTION

Autistic individuals identify with a wider range of sexual orientations than non-autistic individuals, including higher rates of bisexual orientation in autistic men. Gay, bisexual and other men who have sex with men are at greater risk for HIV. Prevalence data of autistic traits in people living with HIV or using Pre-Exposure Prophylaxis (PrEP) for HIV are lacking so far. Such data, combined with insights in barriers and facilitators for safer sex in autistic people living with HIV or using PrEP, are a first step to improve health support for autistic people in HIV clinics. This support is crucial since autistic individuals have worse physical and mental health outcomes. The objective of this research is to determine the prevalence of autistic traits within the group of people living with HIV or using PrEP in Belgium and to describe specific facilitators and barriers for sexual safer behaviour in people living with HIV and PrEP users with autistic traits.

METHODS AND ANALYSIS

The research is a cross-sectional, observational and multicentre study with recruitment of individual participants. The research consists of two phases. In phase 1, adults coming for HIV/AIDS care or HIV PrEP in participating Belgian HIV Reference Centres will be invited to fill in the validated Autism Spectrum Quotient questionnaire. In phase 2, participants with a score above the predefined cut-off for autistic traits (>26), who agreed to be informed about this score, will be invited to complete an additional survey, inquiring facilitators and barriers for sexual safer behaviour.

ETHICS AND DISSEMINATION OF RESULTS

Institutional Review Board Institute of Tropical Medicine Antwerp, 25 July 2022, REF 1601/22 and University Hospital of Antwerp, 12 September 2022, Project ID 3679: BUN B3002022000111. Study results will be published in peer-reviewed journals and presented to Belgian HIV Reference Centres and at conferences.

The Autism-Spectrum Quotient-Hebrew version: Psychometric properties of a full and a short form, adapted for DSM-5

LAY ABSTRACT

Despite the attempt to diagnose autism at an early age, there are still many individuals who would only get an autism diagnosis in adulthood. For these adults, a questionnaire that could assist in highlighting their need to seek diagnostic assessment is needed. The Autism-Spectrum Quotient is a self-report scale used to assess autistic traits. It was tested cross-culturally, and a short version was recommended to help identify adults who should be referred for an autism assessment. However, its relevance for the up-to-date diagnostic criteria, according to the Diagnostic and Statistical Manual of Mental Disorders (5th ed.), has not been tested. This study aimed to examine the psychometric properties of the Hebrew version of the Autism-Spectrum Quotient and to create a short version of the Hebrew Autism-Spectrum Quotient, based on items which map on to Diagnostic and Statistical Manual of Mental Disorders (5th ed.) criteria. Ninety-three autistic adults (24 females), aged 18-51, clinically diagnosed according to Diagnostic and Statistical Manual of Mental Disorders (5th ed.), and 147 comparable controls (34 females) filled out the Hebrew version of the Autism-Spectrum Quotient. Ten clinicians who specialize in diagnosing autism in adults classified the Autism-Spectrum Quotient's items according to Diagnostic and Statistical Manual of Mental Disorders (5th ed.) criteria. The short version of the Hebrew Autism-Spectrum Quotient comprised items that best differentiated between adults with and without autism, five items representing each of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) diagnostic domains. The overall probability for participants to be correctly classified as autistic or neurotypical was 86% for the Hebrew version of the Autism-Spectrum Quotient and 88% for the short version of the Hebrew Autism-Spectrum Quotient. We conclude that both versions are reliable and sensitive instruments that can help referring adults for autism assessment.

Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort

Background

Many empirical studies suggest that higher maternal age increases the likelihood of having an autistic child. However, little is known about factors that may explain this relationship or if higher maternal age is related to the number of autistic-like traits in offspring. One possibility is that mothers who have a higher number of autistic-like traits, including greater challenges performing mentalizing skills, are delayed in finding a partner. The goal of our study is to assess the relationship between maternal age, mentalizing skills and autistic-like traits as independent predictors of the number of autistic-like traits in offspring.

Methods

In a population-based study in the Netherlands, information on maternal age was collected during pre- and perinatal enrolment. Maternal mentalizing skills and autistic-like traits were assessed using the Reading the Mind in the Eyes Test and the Autism Spectrum Quotient, respectively. Autistic-like traits in children were assessed with the Social Responsiveness Scale. A total of 5718 mother/child dyads had complete data (M_agechild = 13.5 years; 50.2% girls).

Results

The relationship between maternal age and autistic-like traits in offspring best fits a U-shaped curve. Furthermore, higher levels of autistic features in mothers are linked to higher levels of autistic-like traits in their children. Lower mentalizing performance in mothers is linked to higher levels of autistic-like traits in their children.

Limitations

We were able to collect data on both autistic-like traits and the mentalizing skills test in a large population of mothers, but we did not collect these data in a large number of the fathers.

Conclusions

The relationships between older and younger mothers may have comparable underlying mechanisms, but it is also possible that the tails of the U-shaped curve are influenced by disparate mechanisms.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13229-022-00507-4.

An evaluation of the diagnostic validity of the structured questionnaires of the adult Asperger's Assessment

The Adult Autism Quotient (AQ), the Empathy Quotient (EQ) and the Relative's Questionnaire (RQ) were used as part of the Adult Asperger's Assessment (AAA) by a diagnostic service for adults without an intellectual disability with suspected autism spectrum disorder (ASD). This service is part of the National Health Service (NHS) in England. Little is known about the utility of these structured questionnaires despite wide use in clinical practice. It was investigated whether the questionnaires could discriminate between individuals with and without a diagnosis of ASD. Receiver Operating Curve analysis showed good levels of sensitivity to detect a positive diagnosis, but the specificity to exclude those without a diagnosis was poor. A binary logistic regression showed that a combination of the questionnaires also showed limited diagnostic validity. These findings have clinical implications in reviewing the efficiency of the assessment process.

Social Anxiety and Shame Among Young Adults with Autism Spectrum Disorder Compared to Typical Adults

Social anxiety (SA) is common among young adults with autism spectrum disorder (ASD). While shame feelings predict SA among typical adults, the relationship between shame and SA in ASD remains unclear. The current study compared the relationship between SA and shame in ASD. SA, shame, and autistic self-assessment questionnaires were administered to 33 young adults with ASD (28 M/5F) and 38 typical young adults (32 M/6F, Mage = 24 years, range = 20-28 in both groups). Results showed higher SA levels in ASD than typical adults, but lower levels of shame characteristics in the former than in the latter group. Moreover, a significant moderation model showed that some aspects of shame were related to SA only in the typical group but not in ASD.

The Autism Spectrum Quotient in a sample of Brazilian adults: analyses of normative data and performance

Autism spectrum disorder (ASD) is characterized by difficulties in social interaction and inflexible behaviors/interests. To quantify ASD traits in adults with preserved intelligence, the Autism Spectrum Quotient (AQ) was developed, which is a self-report instrument and one of the most used and recommended tools.

Acceptability of Virtual Characters as a Social Skills Trainer (Preprint)

Background

Social skills training by human trainers is a well-established method to provide appropriate social interaction skills and strengthen social self-efficacy. In our previous work, we attempted to automate social skills training by developing a virtual agent that taught social skills through interaction. Previous research has not investigated the visual design of virtual agents for social skills training. Thus, we investigated the effect of virtual agent visual design on automated social skills training.

Objective

The 3 main purposes of this research were to investigate the effect of virtual agent appearance on automated social skills training, the relationship between acceptability and other measures (eg, likeability, realism, and familiarity), and the relationship between likeability and individual user characteristics (eg, gender, age, and autistic traits).

Methods

We prepared images and videos of a virtual agent, and 1218 crowdsourced workers rated the virtual agents through a questionnaire. In designing personalized virtual agents, we investigated the acceptability, likeability, and other impressions of the virtual agents and their relationship to individual characteristics.

Results

We found that there were differences between the virtual agents in all measures (P<.001). A female anime-type virtual agent was rated as the most likeable. We also confirmed that participants’ gender, age, and autistic traits were related to their ratings.

Conclusions

We confirmed the effect of virtual agent design on automated social skills training. Our findings are important in designing the appearance of an agent for use in personalized automated social skills training.

Investigating the structure of trait rumination in autistic adults: A network analysis

LAY ABSTRACT

Autistic adults are substantially more likely to develop depression than individuals in the general population, and recent research has indicated that certain differences in thinking styles associated with autism may play a role in this association. Rumination, the act of thinking about the same thing over and over without a functional outcome, is a significant risk factor for depression in both autistic and non-autistic adults. However, little is known about how different kinds of rumination relate to each other and to depressive symptoms in the autistic population specifically. To fill this gap in knowledge, we recruited a large online sample of autistic adults, who completed questionnaire measures of both the tendency to ruminate and symptoms of depression. By examining the interacting network of rumination and depression symptoms, this study was able to identify particular aspects of rumination-such as thinking repetitively about one's guilty feelings or criticizing oneself-that may be particularly important in maintaining these harmful thought patterns in autistic adults. Although further study is needed, it is possible that the symptoms identified as most "influential" in the network may be particularly good targets for future interventions for mood and anxiety disorders in the autistic population.

Trait-Based Dimensions Discriminating Adults with Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD) and, Co-occurring ADHD/ASD

This study assessed the co-occurrence of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) in newly diagnosed adults of normal intelligence and the contribution of trait-based dimensions deriving from the Barkley Adult ADHD Rating Scale-IV (BAARS-IV), the Autism-Spectrum Quotient (AQ), and the Empathy Quotient (EQ) to the differentiation of patients with ADHD, ASD, and ADHD/ASD. A total of 16.1% of patients with ADHD received a co-occurring ASD diagnosis, while 33.3% of patients with ASD received an ADHD diagnosis. Subjects with ADHD or ADHD/ASD had higher scores in all ADHD traits compared to ASD subjects. Compared to the ADHD group, the ASD group had AQ scores that were significantly greater, except for attention to detail. ADHD/ASD co-occurrence significantly increased the score of attention to detail. The total EQ score was greater in the ADHD group. In the stepwise logistic regression analyses, past hyperactivity, current inattention and impulsivity, attention switching, communication, imagination, and total EQ score discriminated ADHD patients from ASD patients. Attention to detail, imagination, and total EQ score discriminated ADHD cases from ADHD/ASD cases, while past hyperactivity and current impulsivity discriminated ASD subjects from ADHD/ASD subjects. Our findings highlight the importance of particular trait-based dimensions when discriminating adults with ADHD, ASD, and co-occurring ADHD/ASD.