Anxiety Disorders During Pregnancy and the Postpartum Period
Bibliographic record
Abstract
OBJECTIVE: The postpartum period is recognized as a time of vulnerability to affective disorders, particularly postpartum depression. In contrast, the prevalence and clinical presentation of anxiety disorders during pregnancy and the postpartum period have received little research attention. In this article, we review the medical literature as it relates to the prevalence and clinical presentation of panic disorder, obsessive-compulsive disorder, posttraumatic stress disorder, and generalized anxiety disorder during pregnancy and the postpartum period. DATA SOURCES: MEDLINE (1966 to July 2005 week 1) and PsycInfo (1840 to July 2005 week 1) were searched using combinations of the following search terms: pregnancy, childbirth, postpartum, panic disorder, phobia, obsessive-compulsive disorder, posttraumatic stress disorder, and generalized anxiety disorder. STUDY SELECTION: All relevant papers published in English and reporting original data related to perinatal anxiety disorders were included. DATA EXTRACTION: Studies were examined for data related to the prevalence, presentation, predictors/risk factors, new onset, course, and treatment of anxiety disorders during pregnancy and the postpartum period. DATA SYNTHESIS: Anxiety disorders are common during the perinatal period, with reported rates of obsessive-compulsive disorder and generalized anxiety disorder being higher in postpartum women than in the general population. The perinatal context of anxiety disorders presents unique issues for detection and management. CONCLUSIONS: Future research is needed to estimate the prevalence of perinatal anxiety disorders more precisely, to identify potential implications of maternal anxiety disorders for maternal quality of life and child development, and to determine safe and effective treatment methods.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".