Determinants of Iron Consumption among Pregnant Women in Southern Senegal
Bibliographic record
Abstract
The anemia by iron deficiency is a public health problem. To palliate the multiple maternal and fetal consequences, the WHO recommends the iron supplementation during at least 90 days to all pregnant women. The goal of our study is to study the determinants of this consumption in the Kolda area (Senegal). It’s the analytical cross-sectional study referred. We use the survey by clusters with 2 levels and it’s about all of the women who gave birth in Kolda area between February 2013 and January 2014. The dependent variable was iron consumption during at least 90 days and the independents variables were grouped on personal factors, knowledge and practices. Data were collected during a personal interview face to face. We used logistic regression to identify the determinants of this consumption. The average age of women surveyed in 1442 was 25.5 years. They had knowledge of iron consumption (93%) and the number of antennal consultation (ANC) (66%). The prevalence of pregnant women who consumed iron at least for 90 days was 51%. The factors associated with consumption were schooling (ORa = 2.49 [1.54 - 4.03]), health awareness (ORa = 1.61 [1.25 to 2.07]), knowledge about number of ANC (ORa = 1.54 [1.18 - 2.00]), councils on the benefits of iron (ORa = 2.66 [1.77 - 4.00]), the household wealth index (ORa = 1.83 [1.04 to 3.19]), number of ANC (ORa = 2.05 [1.56 - 2.69]), age pregnancy on the first ANC (ORa = 2 [1.47 - 2.7]) and iron prescription (ORa = 1.64 [1.25 - 2.16]). The prevalence of iron consumption during at least 90 days is low in Kolda area (51%); however, its determinants are identified; we can solve the problem by increasing communicate more about iron supplementation and antenatal consultation.
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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 | 0.002 |
| 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".