Stress, social support, and emotional distress in a community sample of pregnant women
Bibliographic record
Abstract
Emotional distress in women during pregnancy has been shown to increase the risk of adverse outcomes for women and newborns. Increasingly, assessment and management of mood and anxiety problems during pregnancy entail consideration of life stress and interpersonal relationships with partners, friends, and family members. This study describes cross-sectional relations between life stress, perceived social support, and symptoms of depression and anxiety as well as the mediating influence of social support on relations between stress and symptoms. A community sample of women (N = 2,052) provided self-report data during their second trimester of pregnancy. Empirical fit was found for a structural equation model that depicted the combined influences of sociodemographic factors (i.e., socioeconomic status, age, parity), stress (partner conflict and life events), and social support on symptoms of depression and anxiety, chi2 (df 51) = 310.65, p <.05; CFI=.91. Women who reported low levels of social support showed stronger relations between stress and symptoms than women who reported high levels of social support--indicative of a mediating effect of social support. Consistent with previous studies, results suggest that dyadic psychosocial assessment of pregnant women and their partners may facilitate interventions to augment support networks, thereby reducing the risk of emotional distress.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".