Depression and anger across 25 years: Changing vulnerabilities in the VSA model.
Bibliographic record
Abstract
Guided by the vulnerability-stress adaptation (VSA) model of marriage and a developmental systems perspective, the current study examined the association of mental health trajectories (depressive symptoms and expressed anger) across the transition to adulthood (ages 18 to 25) with perceived life stress in young adulthood (age 32) and adaptive interaction with a romantic partner and relationship risk at midlife (age 43), accounting for concurrent age 43 mental health. Data from a 25-year prospective, longitudinal study of 341 Canadians (178 women and 163 men) show age 18 levels of both mental health variables predicted perceived life stress and intimate relationship outcomes. The slopes for expressed anger and depressive symptoms were associated with perceived life stress, and relationship risk was also predicted by the slope of expressed anger. Higher perceived life stress at age 32 was associated with less adaptive interaction and increased relationship risk at age 43. Evidence for mediating effects was also found. Implications for theory development, future research, and clinical intervention are discussed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".