Comparative analysis of general and pregnancy-related prenatal anxiety symptoms: progression throughout pregnancy and influence of maternal attachment
Bibliographic record
Abstract
Pregnancy-specific anxiety (PSA) has been differentiated from general anxiety (GA) to better account for the heterogeneity of prenatal anxiety and possible measurement bias. A longitudinal study was conducted to determine the evolution of maternal anxiety symptoms during pregnancy, distinguishing PSA and GA, and the influence of maternal attachment A sample of 155 women (mean age 32.5, SD 3.88) were enrolled in their first trimester of pregnancy (T1) in one center and follow throughout their pregnancy. The Relationship Scales Questionnaire (RSQ), the State-Trait Anxiety Inventory (STAI), and the Pregnancy-Related Anxiety Questionnaire (PRAQ) were completed at T1, and, for the last two, at the second (T2) and third trimesters of pregnancy (T3). Multi-level model found significant decreases in the PRAQ total score and the STAI total score between T1 and T3, but only the PRAQ total score decreased from T1 to T2. Preoccupied maternal attachment was independently associated with higher PRAQ and STAI total scores at T1, T2, and T3. Considering the progressive decline of the levels of PSA and GA during pregnancy, interventions should focus on pregnant mothers with risk factors for a persisting course of anxiety such as preoccupied attachment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".