Mental health correlates and potential childhood predictors for the wish to be of the opposite sex in young autistic adults
Bibliographic record
Abstract
Cross-sectional research has demonstrated the overrepresentation of gender dysphoria in children and adults with autism spectrum disorder. However, the predictors and underlying mechanisms of this co-occurrence remain unclear. This follow-up study aimed to explore baseline (childhood/adolescence) predictors for the follow-up (adulthood) self-reported wish to be of the opposite sex and to investigate its mental health correlates in a sample of 88 autistic individuals as compared with 42 typically developing controls. An item on the Adult Self-Report Inventory-4, “I wish I was the opposite sex,” was used. We compared mental health symptoms between adults with and without this item endorsement. We used prediction models to explore family and autism-related predictors in childhood/adolescence to endorse this item in adulthood. There were more adults endorsing the item in the autism spectrum disorder group compared with the typically developing group. Autistic adults who endorsed the item experienced more mental health challenges, more bullying victimization, more suicidal ideations, and worse quality of life. Lower parent-reported family support and more stereotyped/repetitive behaviors during childhood/adolescence predicted the self-reported wish to be of the opposite sex in adulthood in autistic individuals. It is necessary to raise more attention to gender development and related mental health impact in autistic individuals. Lay abstract Autistic people/people with autism spectrum disorder are more likely to experience gender dysphoria. However, the possible longitudinal predictors and underlying mechanisms of this co-occurrence are unclear. To fill this knowledge gap, we assessed 88 people with autism spectrum disorder and 42 typically developing individuals at their average ages of 13.0 (baseline, childhood/adolescence) and 20.2 years old (follow-up, adulthood). At follow-up, their endorsement on the item “I wish I was the opposite sex” was used to evaluate gender dysphoric symptoms. We compared mental health symptoms between adults with and without this item endorsement at the follow-up assessment. We explored parent-reported family and autism characteristics-related predictors in childhood/adolescence to this item endorsement in adulthood. We found that more autistic adults reported the wish to be of the opposite sex than did typically developing individuals. Autistic adults who endorsed this item experienced more mental health challenges, more school bullying and cyberbullying, more suicidal ideation, and worse quality of life. Moreover, parent-reported lower family support and more stereotyped/repetitive behaviors during childhood/adolescence predicted the self-reported wish to be of the opposite sex in adulthood in autistic individuals. More attention and support should be provided to autistic people regarding gender development and related mental health and quality of life impact, especially during the transition period to young adulthood.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".