Early Life Adversity, Depressive Symptoms, Marital Satisfaction, and Chronic Stress
Bibliographic record
Abstract
Poor marital satisfaction may exacerbate the association between early life adversity (ELA) and psychological distress, and this effect may be amplified in the context of chronic caregiving stress. The goal of this study was to test whether marital satisfaction moderated the relationship between ELA and depressive symptoms, and whether these associations were moderated by chronic caregiving stress. Method: The sample consisted of 145 mothers in a romantic relationship, caregiving for either an adolescent on the autism spectrum, or a typically developing adolescent. Participants completed the Childhood Trauma Questionnaire assessing exposure to trauma and neglect, the Center for Epidemiologic Studies Depression Scale assessing depressive symptoms, and the Relationship Assessment Scale assessing marital satisfaction. Prior work indicates that mothers of adolescents with autism experience greater parenting stress than mothers of typically developing adolescents. Results: Marital satisfaction moderated the association between ELA and depressive symptoms among mothers experiencing chronic parenting stress, but not among mothers of typically developing adolescents. More specifically, the positive association between ELA and depressive symptoms was exacerbated among participants with lower marital satisfaction. These results suggest that poor marital satisfaction, in addition to concurrent chronic stress, may worsen the psychological consequences of ELA. These effects provide a better understanding of interpersonal factors impacting the long-term consequences of ELA on psychological well-being. Longitudinal studies are needed to observe how these associations change or if they remain stable, as a function of time.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".