Cognitive performance and anxiety disorders in young mothers in southern Brazil: a cross-sectional study
Bibliographic record
Abstract
Objective: To examine the association between Anxiety Disorders (AD) and cognitive performance in young mothers at 30 months postpartum. Methods: This is a cross-sectional study nested to a follow-up study was conducted with 539 young mothers in the city of Pelotas, in southern Brazil. The ADs were evaluated with the Mini International Neuropsychiatric Interview (MINI PLUS), cognitive performance was screened with the Montreal Cognitive Assessment (MoCA). We used multiple linear regression analysis to explore the association between ADs and cognitive performance. Results: The total MoCA score was associated with the following variables: marital status β= -0.86 (95%CI -1.60;-0.13), education β= 1.22 (95%CI 0.90;1.53), occupation β= 1.03 (95%CI 0.28;1.79), Generalized Anxiety Disorder (GAD) β= -2.28 (95%CI -4.07;-0.50) and at least one AD 30 months postpartum β= -0.10 (95%CI -0.20;-0.00). Together, these variables were responsible for 16% of the variance in the total MoCA score, GAD being the variable with the strongest negative association. Conclusions: The results showed that sociodemographic variables, a GAD diagnosis and the presence of at least one AD were significantly associated with low cognitive performance in young mothers at 30 months postpartum.
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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 | 0.001 |
| 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) | 0.001 | 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".