Longitudinal associations throughout adolescence: Suicidal ideation, disturbing dreams, and internalizing symptoms
Bibliographic record
Abstract
OBJECTIVE/BACKGROUND: Many studies have reported associations between disturbing dream occurrence and internalizing symptoms in adults, but the extent to which such associations also characterize adolescents remains unknown. The main goal of the present longitudinal study was to evaluate the strength and stability of the associations between disturbing dream frequency, suicidal ideation, and internalizing symptoms from ages 13 to 18. METHODS: Participants (N = 434) drawn from two longitudinal birth cohort studies on child development in the province of Quebec, Canada, completed annual self-reports of disturbing dream frequency, suicidal ideation, and levels of depression and anxiety. RESULTS: Two separate cross-lagged panel models for symptoms of depression and anxiety were conducted with both models showing similar results. In early adolescence, high levels of and higher change in disturbing dream frequency were associated with increased odds of reporting later suicidal ideation, whereas in mid to late adolescence, increased odds of reporting suicidal ideation at age 17 was associated with increased disturbing dream frequency at age 18. Across adolescence, increased levels of depression and anxiety were associated with increased odds of reporting later suicidal ideation and increased disturbing dream frequency. CONCLUSIONS: These findings support previous literature suggesting that disturbing dream frequency, depression, and anxiety, are risk factors for suicidal ideation throughout adolescence. The present longitudinal study allows for a refinement of our conceptualization of disturbing dream and their relation to suicide and internalizing symptoms throughout adolescence and suggests that the collection of information on disturbing dream and internalizing symptoms during early adolescence may help screen adolescents for suicide risk.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".