Perceived stress partially accounts for the association between Attention Deficit Hyperactivity Disorder (ADHD) symptoms and suicidal ideation among students
Bibliographic record
Abstract
The association between Attention Deficit Hyperactivity Disorder (ADHD) and suicidal ideation has been the focus of recent research interest among youths and young adults. However, the role perceived stress plays in this association is unclear. We investigated whether perceived stress accounts for the association between ADHD and subsequent suicidal ideation among French students enrolled in the i-Share cohort. The associations between ADHD symptoms, perceived stress at baseline, and suicidal ideation during follow-up were investigated using logistic regression models, and Structural Equation Modeling was used to estimate the indirect effect via perceived stress. In total 4333 participants (median age: 20.3 years; [interquartile range: 18.7-21.8]) were included in the main analyses. ADHD was associated with suicidal ideation (adjusted Odds Ratio = 1.15 [95% Confidence Interval: 1.04-1.26]). Perceived stress partially accounts for the association between ADHD and suicidal ideation (proportion explained 49%). Our study suggests that ADHD and perceived stress represent mental health targets for suicide prevention programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".