Gravidity status predicts mental health symptoms in women planning a pregnancy
Bibliographic record
Abstract
BACKGROUND: Gravidity is a factor that contributes to the risk of mental health problems during pregnancy. Prevention occurring before pregnancy could reduce the risk of long-term adverse effects in mothers and children. However, knowledge about the associations between gravidity and mental health during the pregnancy planning phase is scarce. METHODS: This study used cross-sectional data from the preconception phase of the PREGO Study. A total of 617 female participants (417 nulligravid, 200 primigravid/multigravid) were included and multivariable regression analyses were used to examine associations between gravidity status (primi/multigravid vs. nulligravid) and symptoms of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7), stress (Perceived Stress Scale), and psychological distress (Kessler Psychological Distress Scale), adjusting for age, family income, education level, ethnic and cultural origins, body mass index, and alcohol consumption. RESULTS: The primi/multigravid group was associated with higher levels of depressive symptoms and distress before and after adjusting for confounding factors (adjusted B = 0.93, 95% CI [0.38-1.47] and adjusted B = 0.61, 95% CI [0.02-1.21], respectively). No statistically significant associations between gravidity and symptoms of anxiety and stress were observed. CONCLUSION: Individuals who have previously been pregnant may have higher levels of depressive symptoms and distress when planning a subsequent pregnancy than those with no prior experience of pregnancy. An awareness of these findings in preconception groups could help improve pregnancy and postpartum mental health outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 teacher head, 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".