Family History of Psychiatric Disorders as a Risk Factor for Maternal Postpartum Depression
Bibliographic record
Abstract
Importance: Current evidence on the association between family history of psychiatric disorders and postpartum depression is inconsistent; family studies have identified familial risk of postpartum depression, whereas systematic reviews and umbrella reviews, compiling all risk factors for postpartum depression, often have not. Objective: To investigate the association between family history of psychiatric disorders and risk of developing postpartum depression within 12 months post partum. Data Sources: Literature searches were conducted in PubMed, Embase, and PsycINFO in September 2021 and updated in March 2022, accompanied by citation and reference search. Study Selection: Studies eligible for inclusion comprised peer-reviewed cohort and case-control studies reporting an odds ratio (OR) or sufficient data to calculate one for the association between family history of any psychiatric disorder and postpartum depression. Study selection was made by 2 independent reviewers: title and abstract screening followed by full-text screening. Data Extraction and Synthesis: Reporting was performed using the MOOSE checklist. Two reviewers independently extracted predefined information and assessed included studies for risk of bias using the Newcastle-Ottawa Scale. Data were pooled in a meta-analysis using a random-effects model. Heterogeneity was investigated with meta-regression, subgroup, and sensitivity analyses. Publication bias was investigated using a funnel plot, and GRADE (Grading of Recommendations Assessment, Development, and Evaluation) was used to evaluate the overall certainty of the findings. Main Outcomes and Measures: The primary outcome was the pooled association between family history of psychiatric disorders and postpartum depression. Results: A total of 26 studies were included, containing information on 100 877 women. Meta-analysis showed an increased OR of developing postpartum depression when mothers had a family history of psychiatric disorders (OR, 2.08; 95% CI, 1.67-2.59; I2 = 57.14%) corresponding to a risk ratio of 1.79 (95% CI, 1.52-2.09), assuming a 15% postpartum depression prevalence in the general population. Subgroup, sensitivity, and meta-regression analyses were in line with the primary analysis. The overall certainty of evidence was deemed as moderate according to GRADE. Conclusions and Relevance: In this study, there was moderate certainty of evidence for an almost 2-fold higher risk of developing postpartum depression among mothers who have a family history of any psychiatric disorder compared with mothers without.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.023 | 0.106 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".