Factors associated with pregnancy-related anxiety in Tanzanian women: a cross sectional study
Bibliographic record
Abstract
OBJECTIVE: To identify factors predictive of pregnancy-related anxiety (PRA) among women in Mwanza, Tanzania. DESIGN: A cross-sectional study was used to explore the relationship between psychosocial health and preterm birth. SETTING: Antenatal clinics in the Ilemela and Nyamagana districts of Mwanza, Tanzania. PARTICIPANTS: Pregnant women less than or equal to 32 weeks' gestational age (n=212) attending the two antenatal clinics. MEASURES: PRA was measured using a revised version of the 10-item PRA Questionnaire (PRA-Q). Predictive factors included social support (Multidimensional Scale of Perceived Social Support), stress (Perceived Stress Scale), depression (Edinburg Postpartum Depression Scale) and sociodemographic data. Bivariate analysis permitted variable selection while multiple linear regression analysis enabled identification of predictive factors of PRA. RESULTS: Twenty-five per cent of women in our sample scored 13 or higher (out of a possible 30) on the PRA-Q. Perceived stress, active depression and number of people living in the home were the only statistically significant predictors of PRA in our sample. CONCLUSIONS: Our findings were contrary to most current literature which notes socioeconomic status and social support as significant factors in PRA. A greater understanding of the experience of PRA and its predictive factors is needed within the social cultural context of low/middle-income countries to support the development of PRA prevention strategies specific to low/middle income countries.
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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) | 0.001 | 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 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".