Gender bias in autism screening: measurement invariance of different model frameworks of the Autism Spectrum Quotient.

BACKGROUND: The Autism Spectrum Quotient is a popular autism screening tool recommended for identifying potential cases of autism. However, many women with autism demonstrate a different presentation of traits to those currently captured by screening measures and assessment methods, such as the Autism Spectrum Quotient. AIMS: Different models of the Autism Spectrum Quotient have been proposed in the literature, utilising different items from the original 50-item scale. Within good-fitting models, the current study aimed to explore whether these items assess autistic traits similarly across men and women. METHOD: Seventeen Autism Spectrum Quotient models were identified from the literature. Using the responses of a large sample of adults from the UK general population (5246 women, 1830 men), confirmatory factor analysis was used to evaluate the fit of each model. Measurement invariance with respect to gender, adjusting for age, was explored in the 11 model frameworks that were found to have satisfactory fit to our data. RESULTS: It emerged that only two items were gender invariant (non-biased), whereas for the remaining items, the probability of endorsement was influenced by gender. In particular, women had a higher probability of endorsing items relating to social skills and communication. CONCLUSIONS: If the items of the Autism Spectrum Quotient indeed reflect autism-related traits, those items should be rephrased to ensure they do not present a gender-related bias. This is vital for ensuring more timely diagnoses and support for all people with autism.

Shining a Light on a Hidden Population: Social Functioning and Mental Health in Women Reporting Autistic Traits But Lacking Diagnosis.

Female Phenotype Theory (FPT) suggests that autistic women often present with less obvious social impairments than autistic men. We examined the possibility of an exaggerated female phenotype among undiagnosed but probably autistic women. In two nationwide online surveys, we compared self-reported social functioning and mental health between diagnosed autistic women and women without diagnosis who scored ≥ 32 on the Autism Quotient. Compared to diagnosed autistic women, probably autistic women had higher empathy and general social functioning, and were more likely to have received a diagnosis of Borderline Personality Disorder. Autistic women had typically received more mental health diagnoses prior to their ASC diagnosis than autistic men. These findings shed light on the history of misdiagnosis experienced by many autistic women.

Views of services users and staff on a combined money advice and psychological therapy service within IAPT.

BACKGROUND: Research has indicated that having financial difficulties may increase mental health problems and prevent recovery when receiving psychological treatment. A combined approach within the Improving Access to Psychological Therapies (IAPT) service could help clients by tackling their financial difficulties alongside supporting their mental health. AIMS: We aimed to explore the experiences and views of a potential combined intervention by speaking to IAPT service users who have/had experiences of money worries, as well as IAPT therapists and Citizen's Advice (CA) money advisers. METHOD: We conducted online semi-structured interviews with 16 IAPT service users, 14 IAPT therapists/practitioners, and 6 CA money advisors. Interviews were transcribed verbatim and analysed thematically. RESULTS: Themes discussed including the impact of money worries and mental health, the benefits of a combined intervention, how and when it should be introduced to clients and delivered, and how information should be shared between the services. It was felt by most participants that such an intervention would improve mental health and provide a more holistic service with a better referral pathway. CONCLUSIONS: Our findings provide a blueprint for a combined money advice and psychological therapy service within IAPT, which both service users and staff identified would be beneficial.

Camouflaging Intent, First Impressions, and Age of ASC Diagnosis in Autistic Men and Women.

Camouflaging of autistic traits may make autism harder to diagnose. The current study evaluated the relations between camouflaging intent, first impressions, and age of autism diagnosis. Participants comprised autistic and non-autistic adults (n = 80, 50% female) who completed the Camouflaging of Autistic Traits Questionnaire. They were later video-recorded having a conversation with a person unaware of their diagnostic status. Ten-second clips from half these videos were later shown to 127 non-autistic peers, who rated their first impressions of each participant. Results showed that autistic participants were rated more poorly on first impressions, males were rated less favourably than females, and male raters were particularly harsh in their evaluations of autistic males. Camouflaging intent did not predict first impressions but better first impressions were linked with a later age of diagnosis.