The role of chronic stress in the association between depressive symptoms and marital satisfaction
Bibliographic record
Abstract
In an 18-month longitudinal study of 200 newlywed couples, growth curve analyses indicated that marital satisfaction and chronic stress interact to predict depressive symptoms. When chronic stress decreased over time, the association between changes in marital satisfaction and depressive symptoms was relatively weak, but when chronic stress increased, the association between marital satisfaction and depressive symptoms was stronger and more negative. Cross-spouse analyses generally indicated that when spouses experienced increases in chronic stress or higher average chronic stress across time points, the bidirectional association between wives’ depressive symptoms and husbands’ marital satisfaction became weaker and less negative. In sum, increases in chronic stress over the first year of marriage strengthened the within-spouse association between marital satisfaction and depressive symptoms but weakened the bidirectional cross-spouse association between husbands’ marital satisfaction and wives’ depressive symptoms. This highlights how the broader social context may put maritally distressed spouses at greater risk for depression.
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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".