Gender Identity Disparities in Early Adolescent Sleep: Findings from the Adolescent Brain Cognitive Development Study
Bibliographic record
Abstract
Purpose:Our aim was to examine associations between transgender identity and sleep disturbance in a demographically diverse, national sample of U.S. early adolescents. Methods:We conducted a cross-sectional analysis of the Adolescent Brain Cognitive Development Study from Year 3 (2019–2021, n = 10,277, 12–13 years) to investigate the association between transgender identity and caregiver-reported measures of their adolescent’s sleep, assessed by the Sleep Disturbance Scale for Children. Results:Transgender adolescents had a higher risk of overall sleep disturbance and symptoms of insomnia and excessive sleepiness. Furthermore, per caregiver report, transgender adolescents were more likely to have shorter sleep duration categories; particularly concerning is the significant risk of <5 hours of sleep for transgender adolescents compared with their cisgender peers. Conclusion:These findings indicate that transgender adolescents had worse caregiver-reported sleep outcomes compared to cisgender peers. This study highlights the need for screenings and interventions targeted at improving sleep among transgender adolescents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".