'I will never love anyone like that again': cognitive behavioural therapy and the pathologisation and medicalisation of ordinary experiences

Towards the measurement of autistic burnout

LAY ABSTRACT

Autistic burnout has been talked about by autistic adults for some time on blogs and in social media. Now, research describes fatigue, exhaustion and other related symptoms experienced by autistic people. We need new ways to help identify autistic burnout. In this study, we tested a new questionnaire called the AASPIRE Autistic Burnout Measure, and we investigated things that are linked to worse autistic burnout. We also trialled a group of Autistic Burnout Severity Items that we made. Working with an autistic researcher, we made the Autistic Burnout Severity Items based on published definitions of autistic burnout. Autistic adults (n = 141) who had experienced autistic burnout completed an online survey. We found that autistic burnout was connected to masking and depression. The Autistic Burnout Measure tool was associated with depression but not with masking. It was not very accurate in telling apart participants who were currently experiencing burnout versus those who were reporting on their past experience. The Autistic Burnout Severity Items might have problems with subscales adding together to measure autistic burnout. More work is needed on how to measure autistic burnout. Our research and other recent studies show autistic people experience a combination of exhaustion, withdrawal and problems with their concentration and thinking. Burnout seems to be linked to the stress experienced by autistic people in their daily lives. We need more research to understand the difference between autistic burnout and other conditions and experiences. We need to develop assessment tools that can help identify this burnout.

Associations between sociodemographic characteristics and receipt of professional diagnosis in Common Mental Disorder: Results from the Adult Psychiatric Morbidity Survey 2014

BACKGROUND

Many people with Common Mental Disorders (CMDs), especially men, people from older age groups, and ethnic minority backgrounds, receive no treatment. Self-acknowledgement of mental illness symptoms, and a professional diagnosis are usually required to access treatment. To understand barriers, we therefore tested whether these groups were relatively less likely to self-diagnose a CMD, or to receive a professional diagnosis.

METHODS

We analysed data from the 2014 English Adult Psychiatric Morbidity Survey (APMS). We used regression models to examine whether gender, age, and minority ethnic status were associated with professional and self-diagnosis, after controlling for CMD symptoms.

RESULTS

27.3 % of the population reported a professional and self-diagnosis of CMD, 15.9 % a self- diagnosis only, and the remainder no diagnosis. Odds of professional diagnosis were lower for men compared with women (adjusted odds ratio [AOR] 0.54, 95 % confidence intervals [CI] 0.47-0.62). People from White Other (0.49, 0.36-0.67), Black (0.31, 0.18-0.51), and Asian (0.22, 0.15-0.33) groups were less likely than the White British group to receive a professional diagnosis. The least likely age group to have a professional CMD diagnosis (relative to adults aged 16-34) were people aged over 75 (0.52, 0.39-0.69). Patterns were similar for self-diagnosis.

LIMITATIONS

Ethnicity categories were heterogeneous. Data are cross-sectional, and selection and response bias are possible.

CONCLUSIONS

For every three people who self-diagnose CMD, two have a professional diagnosis. Men, ethnic minority, and older age groups are less likely to receive a diagnosis or self-diagnose after adjustment for presence of symptoms.