Women’s persistent depressive and perinatal grief symptoms following a miscarriage: the role of childlessness and satisfaction with healthcare services
Bibliographic record
Abstract
The objectives of this cross-sectional study were to determine whether depressive and perinatal grief symptoms vary according to time since miscarriage and to test whether childlessness and satisfaction with healthcare services influence symptom duration. A total of 245 women who had experienced a miscarriage answered a self-report questionnaire, indicating the date of their miscarriage and assessing their present level of depressive and perinatal grief symptoms. They also provided sociodemographic characteristics and indicated their level of satisfaction with healthcare services. One-way analyses of variance indicated that women who had miscarried within the past 6 months reported higher scores for depressive symptoms than did women who had miscarried between 7 and 12 months ago and more than 2 years ago. However, when controlling for childlessness and satisfaction with healthcare services, those differences became respectively marginal and non-significant, indicating that depressive symptoms are similar across time for more than 2 years after the loss. Regarding perinatal grief, results revealed that symptoms significantly decreased across time only for women with children and women who were satisfied with healthcare services. For childless women and those dissatisfied with healthcare services, perinatal grief symptoms did not vary according to time since miscarriage. Results suggest that, particularly for women who are childless and/or dissatisfied with healthcare services, depressive and perinatal grief symptoms persist long after a miscarriage. These results highlight the importance of paying particular attention to more vulnerable women and of improving healthcare services post-miscarriage.
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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 | 0.007 |
| 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 | 0.000 |
| 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".