Women’s experiences with postpartum anxiety disorders: a narrative literature review
Bibliographic record
Abstract
PURPOSE: Postpartum anxiety disorders are common and may have significant consequences for mothers and their children. This review examines the literature on women's experiences with postpartum generalized anxiety disorder (GAD), postpartum panic disorder (PD), obsessive compulsive disorder (OCD), and posttraumatic stress disorder (PTSD). METHODS: MEDLINE (Ovid), CINAHL, PsycINFO, and reference lists were searched. Qualitative and quantitative studies assessing women's experiences with GAD, postpartum PD, OCD, and PTSD were included. Narrative approach to literature synthesis was used. RESULTS: Fourteen studies (among 44 articles) met the criteria for review to identify descriptions of women's cognitive, affective, and somatic experiences related to postpartum anxiety disorders. Loss, frustration, and guilt, accompanied by physical symptoms of tension, were some of the experiences identified across studies. Most women suffered from more than one anxiety disorder, in addition to postpartum depression. To date, research has focused on prevalence rates of postpartum anxiety disorders, and evidence about clinical and subclinical symptoms of postpartum anxiety disorders and outcomes on mother and child is lacking. Postpartum anxiety disorders may have negative effects on parenting and child development; however, the nature of the underlying mechanisms is unclear. CONCLUSION: More robust longitudinal studies are needed to examine the impact of postpartum GAD, PD, OCD, and PTSD symptoms on the mother and the mother-child relationship to develop targets for therapeutic preventative interventions.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".