Streamlining Adult Autism Diagnosis: High-yield DSM-5-TR Predictors and Sex-Based Considerations.
Lean hardest on social-emotional reciprocity and nonverbal communication when diagnosing autism in adults; special interests and sex add little predictive power.
01Research in Context
What this study did
The team looked at which DSM-5-TR items best predict an autism diagnosis in adults.
They studied people referred to a hospital outpatient clinic.
Each person’s sex assigned at birth was recorded to see if it changed the odds of diagnosis.
What they found
Two items carried almost all the weight: social-emotional reciprocity and nonverbal communication.
Special interests and sensory issues added almost nothing to the prediction.
Sex assigned at birth barely moved the needle once those social items were counted.
How this fits with other research
Matson et al. (2009) saw the same pattern in older kids: social and communication items ruled, repetitive items did not.
Paolizzi et al. (2025) seems to disagree. Parents rated autistic girls as more socially skilled than boys even when clinician scores were equal. The difference is rater and age: parents of kids versus clinicians of adults.
Maddox et al. (2015) already showed DSM-5 beats DSM-IV-TR. Whaling et al. (2025) now tells us which single DSM-5-TR items to trust most.
Why it matters
When you assess an adult, spend your time on social reciprocity and nonverbal observations. Skip long checklists about train timetables or food textures. Sex alone should not sway your decision; the social data already say what you need.
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02At a glance
03Original abstract
PURPOSE: This study examined which DSM-5-TR criteria most strongly predict autism diagnosis in adults and whether predictive patterns differ by sex assigned at birth. METHODS: A team of neurodivergent researchers designed and carried out the study with input from autistic psychologists and community members. The participants were English-speaking adults who sought telehealth services from an autism mental health service provider. A convenience sample of 234 adults (mean age 34.25 years, 72.2% assigned female at birth) underwent an autism evaluation through a telehealth organization. Licensed psychologists rated seven DSM-5-TR domains on a 0-2 scale based on structured interviews and standardized measures. Ridge penalized logistic regression was used. RESULTS: Results indicated that social-emotional reciprocity (OR = 5.21) and nonverbal communication (OR = 4.82) were the strongest predictors of autism diagnosis, followed by relationship differences (OR = 3.63), need for routines (OR = 2.57), and repetitive behaviors (OR = 2.20). Intense interests and sensory processing differences showed limited predictive utility. Sex assigned at birth did not meaningfully enhance diagnostic prediction beyond core symptom presentation, except for a modest interaction effect with nonverbal communication in individuals assigned female at birth. CONCLUSIONS: These findings suggest clinicians may benefit from prioritizing assessment of social-emotional reciprocity and nonverbal communication domains when evaluating adults for autism, potentially improving diagnostic efficiency and accuracy.
Journal of autism and developmental disorders, 2025 · doi:10.1111/j.1467-9868.2005.00503.x