Animal source food intake is lower in households with children who experience food insecurity
Bibliographic record
Abstract
Animal source food (ASF) intake in young children has been associated with improved dietary quality and growth outcomes. The ENAM project provides technical and financial support for income generation activities of caregivers of young children in selected districts in Ghana, with the goal of improving household food security and ASF utilization in children's diets. Baseline data from the ENAM project was analyzed to compare child dietary intakes and anthropometry between 123 households that experienced child‐level food‐insecurity and 391 households in which children were food secure. Caregiver wealth rank (p<0.001), occupation (p=0.004), weekly income (p=0.011), and locality (p<0.001) were associated with food security among the children in the past month. The likelihood of eating ASF and the frequency of consuming ASF within the past week were positively associated with children's food security (p<0.01). However, child WHZ (95% CI: −0.20, 0.22); WAZ (95% CI:−0.18, 0.25) and HAZ (95% CI:−0.22, 0.35) did not differ by food security status. In this setting, food security was related to ASF intake but not anthropometry in 2‐ to 5‐y‐old children. Support was through GL‐CRSP, funded in part by USAID, Grant # PCE‐G‐00‐98‐00036‐00.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".