Traits of Autism Spectrum Disorder in School-Aged Children With Gender Dysphoria: A Comparison to Clinical Controls
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: Studies of children with gender dysphoria (GD) have reported an overrepresentation of autism spectrum disorder (ASD) or traits. One limitation of these studies has been the absence of a concurrent comparison group of children referred for other clinical problems. The present study addressed this gap by comparing 61 children referred for GD with 40 children referred for other clinical concerns (age range, 4–12 years). Method: ASD caseness was measured in 2 ways: (a) a Diagnostic and Statistical Manual of Mental Disorders ( DSM ) diagnosis of ASD or cut-off scores for caseness or (b) dimensionally on 2 standardized measures. Results: Children with GD had a higher proportion with a co-occurring DSM diagnosis of ASD and a higher proportion who met the criterion for caseness on the Social Communications Questionnaire than the clinical controls. In contrast, on the Social Responsiveness Scale, the 2 groups were similar with regard to caseness and traits of ASD. Conclusions: The results of our study showed evidence of both specificity and nonspecificity with regard to ASD traits and caseness. Future research can adopt the principle of multifinality to understand better why only a minority of children with GD have a co-occurring diagnosis of ASD, but the majority does not. Implications for Impact Statement The present study draws specific attention to the overrepresentation of autism spectrum disorder traits among children referred for gender dysphoria. Children with gender dysphoria should be screened for a possible autism spectrum disorder (ASD) and, when warranted, receive a more comprehensive ASD diagnostic assessment to facilitate more holistic clinical care.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it