Brief Report: An Exploration of Alexithymia in Autistic and Nonautistic Transgender Adults
Bibliographic record
Abstract
Background: Research has shown that many autistic people have alexithymia, a psychological trait characterized by difficulties in identifying and describing emotions. It is also now clear that there is a high rate of autism among transgender people, but we know little about the intersection of autism and gender diversity or about the clinical features of autistic transgender individuals. Methods: Seventy-eight nonautistic transgender, 56 autistic transgender, 106 nonautistic cisgender, and 107 autistic cisgender adults completed the Toronto Alexithymia Scale-20 and the Autism-spectrum Quotient as part of an online study. We also used the General Alexithymia Factor Score-8 as an additional alexithymia score. Results: We found that nonautistic transgender participants reported significantly higher mean levels of alexithymia than nonautistic cisgender participants, and that there was a significant overrepresentation of individuals in this group who met the clinical cutoff for alexithymia. The difference in alexithymia between autistic cisgender and autistic transgender participants was nonsignificant, with >50% of each group scoring above the clinical cutoff point. Of note, when we used the General Alexithymia Factor Score-8, the difference between autistic transgender participants and autistic cisgender participants was significant, with autistic transgender participants reporting higher mean levels of alexithymia. Conclusion: Results suggest that nonautistic transgender individuals might be more prone to experience alexithymia (including at clinically significant levels) than nonautistic cisgender people. When autism occurs in transgender people, the average level and clinical rate of alexithymia is higher than among nonautistic transgender people and potentially higher than among autistic cisgender people. Our findings are in keeping with evidence of a subgroup of transgender people with "subclinical autism" and inconsistent with the notion that autism among transgender and gender diverse people is a "phenomimic" of autism. Lastly, our study highlights the potential importance of screening autistic and nonautistic transgender people for alexithymia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".