Prevalence and possible factors associated with anaemia, and vitamin B <sub> <sub>12</sub> </sub> and folate deficiencies in women of reproductive age in Pakistan: analysis of national-level secondary survey data
Bibliographic record
Abstract
Objective To determine the prevalence and possible factors associated with anaemia, and vitamin B 12 and folate deficiencies in women of reproductive age (WRA) in Pakistan. Methods A secondary analysis was conducted on data collected through the large-scale National Nutrition Survey in Pakistan in 2011. Anaemia was defined as haemoglobin levels <12 g/dL, vitamin B 12 deficiency as serum vitamin B 12 levels of <203 pg/mL (150 pmol/L) and folate deficiency as serum folate levels <4 ng/mL (10 nmol/L). Results A total of 11 751 blood samples were collected and analysed. The prevalence of anaemia, vitamin B 12 deficiency and folate deficiency was 50.4%, 52.4% and 50.8%, respectively. After adjustment, the following factors were positively associated with anaemia: living in Sindh province (RR 1.07; 95% CI 1.04 to 1.09) P<0.00, food insecure with moderate hunger (RR 1.03; 95% CI 1.00 to 1.06) P=0.02, four or more pregnancies (RR 1.03; 95% CI 1.01 to 1.05) P<0.00, being underweight (RR 1.03; 95% CI 1.00 to 1.05) P=0.02, being overweight or obese (RR 0.95; 95% CI 0.93 to 0.97) P<0.00 and weekly intake of leafy green vegetables (RR 0.98; 95% CI 0.95 to 1.00) P=0.04. For vitamin B 12 deficiency, a positive association was observed with rural population (RR 0.81; 95% CI 0.66 to 1.00) P=0.04, living in Khyber Pakhtunkhwa province (RR 1.25; 95% CI 1.11 to 1.43) P<0.00 and living in Azad Jammu and Kashmir (RR 1.50; 95% CI 1.08 to 2.08) P=0.01. Folate deficiency was negatively associated with daily and weekly intake of eggs (RR 0.89; 95% CI 0.81 to 0.98) P=0.02 and (RR 0.88; 95% CI 0.78 to 0.99) P=0.03. Conclusions In Pakistan, anaemia, and vitamin B 12 and folate deficiencies are a severe public health concern among WRA. Our findings suggest that further research is needed on culturally appropriate short-term and long-term interventions within communities and health facilities to decrease anaemia, and vitamin B 12 and folate deficiencies among Pakistani women.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".