Why are animal source foods rarely consumed by 6-23 months old children in rural communities of Northern Ethiopia? A qualitative study
Bibliographic record
Abstract
BACKGROUND: Animal source foods provide high-quality protein and essential micronutrients within the human diet and are of particular significance for the health and development of children. Despite the availability of domestic livestock in rural households of Ethiopia, the diets of children are often monotonous and mainly cereal-based with low energy and nutrient density. OBJECTIVE: Explore barriers and facilitators for the consumption of animal source foods among 6-23 months old children from the rural communities of Northern Ethiopia. METHODS: A community-based exploratory qualitative study design was conducted in July through September 2018. A total of eight focus group discussions (56 individuals) and twenty-four qualitative interviews were conducted with mothers who are lactating, fathers, health extension workers, nutrition, and agriculture experts. Purposive sampling technique was used to include study participants based on their potential relevance in delivering a wealth of information. Thematic analysis strategies, a method for identifying, analyzing, and reporting themes within data, were used to code and grouped into related families and synthesize the qualitative data. RESULTS: Consumption of animal source foods among 6-23 months old children was very low and the home-reared livestock and their products were mainly used for market purposes. Animal products are consumed during special societal occasions since they are considered as luxury food rather than an essential part of daily children's diet. Lack of nutrition knowledge, high cost of animal source foods, mothers' workload to herd livestock, low household income, low milk production, the poor linkage between health and agriculture sectors, and social norms and beliefs were identified as common barriers. While the presence of nutrition experts, cooking demonstrations, in-kind credit programs, livestock ownership, and government-led stunting reduction programs were the facilitators for the consumption of animal source foods in the study communities. CONCLUSIONS: Reduced consumption of animal source foods inadvertently impacted dietary diversity of 6-23 months old children from the study communities. Thus, strengthening social and behavior change communication to promote the consumption of animal source foods, creating opportunities for women to own small livestock for household consumption and provide nutrition education on dietary restriction of animal source foods during religious periods among 6-23 months old children in the rural communities of Northern Ethiopia are recommended.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".