Depressive Symptoms and Conflict Behaviors: A Test of the Stress Generation Hypothesis in Romantic Couples During the COVID-19 Pandemic
Bibliographic record
Abstract
Introduction: In early 2020, North American jurisdictions required households (e.g., romantic couples) to isolate together to help mitigate the spread of COVID-19. This study provides a first look at the interplay of depressive symptoms and conflict behaviors among isolating couples, including tests of predictions of the stress generation hypothesis. Methods: Mixed-gender couples residing in Canada (N = 711) completed online measures across two waves. We used the actor-partner interdependence mediation model, with Wave 1 depressive symptoms as the predictor, Wave 1 conflict enactment as the mediator, and Wave 2 depressive symptoms as the outcome. Results: Depressive symptoms showed stability across Wave 1 and 2. Wave 1 depressive symptoms showed associations with Wave 1 conflict enactment. For men (but not women), Wave 1 conflict enactment was associated with their own and their partner's Wave 2 depressive symptoms. For both partners, Wave 1 conflict enacted by men mediated the association between Wave 1 depressive symptoms and Wave 2 depressive symptoms. Discussion: Our study confirms and extends the stress generation hypothesis to the pandemic context, showing that depressive symptoms may partially contribute to conflict for isolating couples and that conflict behaviors enacted by men toward their partner can exacerbate depressive symptoms in both partners.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".