Specificity of the short-story task for autism diagnosis when controlling for depression.
The short-story task spots autism-specific mentalizing gaps in adults and stays accurate even when depression is present.
01Research in Context
What this study did
Jarvers et al. (2024) tested a short-story task on adults.
The task asks people to explain story characters' thoughts and feelings.
They compared autistic adults, non-autistic adults, and adults with depression.
The goal was to see if the test still spots autism when depression is also present.
What they found
SST scores were clearly different across the three groups.
The test still flagged autism even when adults also had depression.
This supports using the story task as a diagnostic aid in adult clinics.
How this fits with other research
Baixauli et al. (2016) showed autistic children tell weaker stories than peers.
Irina’s team now shows the same idea works for diagnosing adults.
Ochi et al. (2024) got 90 % accuracy using speech prosody instead of stories.
Both papers give quick lab tasks that help confirm autism in adults.
Mamimoué et al. (2024) warn no depression tool exists for autistic teens.
Irina’s work answers part of that need by showing depression does not ruin SST scores.
Why it matters
You can trust low SST scores as an autism signal even if the client also reports depression.
Add the five-minute story task to your adult intake battery when diagnosis is unclear.
It gives you an objective data point that is cheap and easy to interpret.
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02At a glance
03Original abstract
Securing an accurate autism-spectrum-condition diagnosis, particularly among women, remains challenging for autistic adults. Building upon previous research highlighting the short-story task (SST) as a promising tool for detecting fiction-based mentalizing difficulties in autistic adults, this study expands its scope. We investigated the SST's discriminative capacity across three distinct groups: autistic individuals (n = 32), nonautistic individuals without mental health problems (n = 32), and nonautistic individuals with clinical depression (n = 30). All three groups differed significantly from each other in their SST mentalizing score with the nonautistic group having the highest scores, the nonautistic but depressed group having medium scores and the autistic group showing the lowest scores. Receiver operator curve (ROC) analysis reaffirmed the SST's efficacy as a discriminator. Moreover, a linear regression analysis identified the SST mentalizing score, the SST comprehension score, and the number of books read per month as significant predictors of autism-spectrum-condition diagnosis. These findings bolster the SST's potential as a valuable adjunct in autism diagnostics, highlighting its discriminatory ability across diverse samples.
Autism research : official journal of the International Society for Autism Research, 2024 · doi:10.1002/aur.3191