Dietary diversity and associated factors among households and children in internally displaced person camps in Southern Somalia: A cross‐sectional study
Bibliographic record
Abstract
The study aimed to assess household and child dietary diversity in Southern Somalia by identifying determinants of adequate dietary diversity in three internally displaced person (IDP) camps in Baidoa, Dayniile and Dharkanley. A total of 1655 female main caregivers with 2370 children (6-59 months old) were included. Data on household dietary diversity score and child dietary diversity score indicators were collected from all households. The questionnaire was read face-to-face to the female main caregivers. Multivariate logistic regression analysis was performed to identify factors associated with adequate dietary diversity, which was defined as the consumption of at least four food groups within 24 h before the survey. The proportion of households achieving adequate HDDS was high in all locations 95.8%, 96.9% and 89.0% in Baidoa, Dharkanley and Dayniile, respectively, and the total adequate household dietary diversity score (AHDDS) was 95.6%. The proportion of adequate child dietary diversity score (ACDDS) was achieved in 63.5%, 8.5% and 38.3%. The main factors associated with AHDDS were larger household size, greater wealth, attendance of antenatal care (ANC) and joint decision-making between husband and wife, while factors associated with ACDDS included ANC attendance, age, the consumption of ready-to-use therapeutic food and deworming tablets. These findings can guide future programmes and policies aimed at improving maternal and child nutrition in IDP camps in Somalia. By tackling these diverse factors, a promising pathway emerges to enhance the nutritional welfare of both households and children in IDP camps.
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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 | 0.001 |
| 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 | 0.000 |
| 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".