Antenatal depression is associated with pregnancy-related anxiety, partner relations, and wealth in women in Northern Tanzania: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Psychosocial health problems, specifically depression during pregnancy, can have negative impact on birth outcomes, postnatal mental health of the mother, and infant health. Antenatal depression is more prevalent among women in low- and middle-income countries than among women in high-income countries. Risk factors for antenatal depression reported in the literature relate to pregnant women in South Asia. Consequently, this study assessed depression in pregnancy and related psychosocial risk factors among select pregnant women residing in Mwanza region, Northern Tanzania. METHODS: We analysed data from 397 pregnant women recruited from three antenatal clinics for the period June-August 2013 for this cross-sectional study. Women provided data at one time point during their pregnancy by completing the Edinburgh Postnatal Depression Scale and a structured questionnaire assessing psychosocial, demographic, and behavioural risk factors related to antenatal depression. Multiple logistic regression analysis was performed to determine the relationship between risk factors examined and antenatal depression. RESULTS: Overall, 33.8 % (n = 134) of pregnant women had antenatal depression. Pregnancy-related anxiety was associated with antenatal depression (odds ratio (OR) 1.36, 95 % confidence interval (CI) 1.23 to 1.5). Pregnant women with poor relationship with partner and low/moderate socio-economic status had the highest OR for antenatal depression (82.34, 95 % CI 4.47, 1516.60) after adjusting for other covariates. Pregnant women with poor relationship with partner and high socio-economic status had an OR of 13.48 (95 % CI 1.71, 106.31) for antenatal depression. "Reference" pregnant women were those with very good relationship with partner and high socio-economic status. CONCLUSIONS: High proportion of self-reported depression among select pregnant women attending antenatal clinics in Mwanza, Tanzania merit integrating depression assessment into existing antenatal care services. Health care providers need to assess pregnancy-related risk factors (pregnancy-related anxiety), socio-demographic factors (socio-economic status), and interpersonal risk factors (relationship with partner). Future research should appraise effectiveness of interventions that enhance partner relationships in reducing antenatal depression across all wealth distributions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".