The Association Between Postpartum Depression and Pica During Pregnancy
Bibliographic record
Abstract
INTRODUCTION & OBJECTIVES: Postpartum depression (PPD) is a common disorder and social debilitating that has adverse effects on the mother, child and family. Pica is an eating disorder characterized by persistent ingestion of substances that the consumer does not define as food. The aim of this study was to investigate the association of postpartum depression with pica during pregnancy. METHOD: This is case-control study was carried out in health centers in west Tehran. 152 depressed women (case group) and 148 non-depressed women (control group) were selected randomly from these health care centers. In addition to collecting demographic and pica data, the Edinburgh Depression Scale was used. The data was analyzed by both descriptive and analytic analyses such as chi-squared and logistic regression in SPSS version 16. RESULT: In this study, there wasn't a significant association between PPD and pica during pregnancy (P=0.153, OR=2.043, CI=0.767, 5.438), but, postpartum depression has a significant association with type (clay) (P= 0.024) and duration (more than 2 months) (P= 0.023) of pica practice. CONCLUSIONS: In the present study, pregnancy pica was not important risk factor for PPD but there were similar risk factors such as iron supplementation during and postpartum pregnancy with pica and PPD.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".