Association between adherence to iron intake and anaemia prevalence among women in Cambodia and India: new evidence from recent global demographic and health surveys
Bibliographic record
Abstract
Background: Anaemia is a global public health problem affecting around 800 million children and women worldwide. Anaemia, defined as a reduced haemoglobin concentration, is associated with increased peri-natal mortality, increased child morbidity and mortality, impaired mental development, impaired immune competence, increased susceptibility to lead poisoning, and decreased performance at work.Methods: This paper attempts to understand the determinants underlying iron and folic acid intake and correlates of anaemia prevalence in two countries in the Asia region using multivariate binary logistic regression analyses of recent data from the Demographic and Health Surveys of Cambodia and India. The individual level data was analysed, using Predictive Analytics Software for Windows (PASW) 18.0 release.Results: After adjusting for standard co-variates, reading newspaper and watching television was significantly associated with coverage, while reading newspaper and listening to radio was significantly associated with adherence to iron tablets or syrup in India. In case of both Cambodia and India, those who received at least three antenatal care visits were much more likely to adhere to at least 90 days of iron tablet or syrup or iron and folic acid tablets, more so in Cambodia compared to India. Those who reported to have adhered to at least 90 days of iron and folic acid tablets in India were more likely to be not anaemic unlike in case of Cambodia.Conclusions: Antenatal care-seeking visits seem to be a particularly effective ways of reaching women and in increasing the likelihood of intake of iron only or iron and folic acid supplements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".