Suicidal behaviors and attention deficit hyperactivity disorder (ADHD): a cross-sectional study among Chinese medical college students
Bibliographic record
Abstract
BACKGROUNDS: Associations between attention deficit hyperactivity disorder (ADHD) subtypes and suicidal behaviors remains unclear. The current study explored the prevalence of suicidal behaviors, and its association with ADHD among Chinese medical students. METHODS: Five thousand six hundred ninety-three medical college students participated. Symptoms of suicidal behaviors, ADHD, anxiety, depression, tobacco and alcohol use were assessed using online questionnaires. RESULTS: The prevalence of lifetime suicidal ideation, suicide plans, and suicide attempts among medical college students were 27.5, 7.9 and 14.8% respectively. Participants with ADHD predominantly inattentive type (ADHD-I) had more than fivefold increased odds of suicidal behaviors, the adjusted odds ratios (ORs) of ADHD-I and ADHD combined type (ADHD-C) remained significant after controlling for confounding factors. CONCLUSIONS: ADHD is associated with high risk of suicidal behaviors. ADHD-I and ADHD-C were strongly associated with suicidal behaviors independent of comorbidities. The finding suggests the importance of addressing ADHD symptoms in suicide prevention.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".