Depression and anxiety during the perinatal period
Bibliographic record
Abstract
BACKGROUND: Mood and anxiety and related disorders (AD) account for a significant proportion of mental health conditions, with close to 30 % of the population (28.8 %) suffering from an AD at some time in their life, and over fifteen percent (16.2 %) suffering from a mood disorder. The existing empirical literature leaves a number of important gaps with respect to our understanding of mood, anxiety and stress related difficulties among pregnant and postpartum women. The objective of this research is to address these. METHODS: Participants were 660 English-speaking pregnant women. Participants for the portion of the research estimating the prevalence/incidence of perinatal mood disorders and AD (N = 347) were recruited proportionally from a geographically defined area. All participants were recruited via prenatal clinic visits at hospitals, physician offices and midwifery clinics, and via community outreach at events and through word of mouth. Recruitment took place between November 9, 2007 and November 12, 2010. Participants were administered questionnaires prenatally at two time points (approximately 24 and 33 weeks gestation) and again at 4-6 weeks' postpartum and 6-months postpartum. Prevalence/incidence study participants who screened above cut-off on one or more of the 4-6 week mood and anxiety questionnaires were also administered a diagnostic interview for mood disorders and AD at approximately 8-12 weeks postpartum. DISCUSSION: This research addresses a number of gaps in our understanding of mood, anxiety and stress among pregnant and postpartum women. Specifically, gaps in our knowledge regarding the prevalence and incidence of (a) AD and mood disorders, and (b) anxiety and stress among women experiencing a medically high-risk pregnancy, interest in stress management training in pregnancy, mental health treatment barriers and access and screening for anxiety among pregnant and postpartum women are addressed. The findings from this series of studies have the potential to improve screening, assessment and treatment of mood and anxiety problems suffered by pregnant and postpartum women.
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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 | 0.002 |
| 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 | 0.001 | 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".