Minimum Acceptable Diet and its Predictors among Children Aged 6-23 Months in Mareka District, Southern Ethiopia: Community Based Cross-Sectional Study
Bibliographic record
Abstract
Background: Optimal infant and young child feeding practices are essential for normal growth, better health, and mental and physical development. Even though there are a lot of nutrition intervention programs in Ethiopia, still suboptimal feeding practices are prevalent. This study was devised to assess a level of minimum acceptable diet (MAD) and predictors among children aged 6-23 months in Mareka District, south Ethiopia. Method: A community-based cross-sectional study was employed on 662 study participants from August 15 to September 15/ 2015. They were selected by a multi-stage sampling technique. Data were collected by interviewer-administered semi-structured questionnaires. Statistical significance was declared at p-value <0.05 at multivariable logistic regression. Result: The study showed that 35.5 % of the children aged 6-23 months met the recommended MAD. Maternal primary and secondary education (AOR: 1.90; 95% CI: 1.15-3.16 and AOR: 2.06, 95% CI: 1.12-3.77), Media exposure (AOR: 2.16; 95% CI: 1.46-3.29), health facility delivery (AOR:2.52; 95% CI: 1.54-4.13), child age of 9-11 and 12-23 months (AOR:2.73; 95% CI: 1.41-5.49 and AOR:2.55; 95% CI: 1.39-4.69) and GMP service utilization (AOR: 4.09; 95% CI: 2.51-6.65) were associated with MAD of children. Conclusion: The level of MAD among children was low. Maternal educational status, media exposure, institutional delivery, child age, and GMP service utilization were associated with MAD. Increasing utilization of GMP service, health facility delivery, maternal education, and media promotion was recommended to increase the level of MAD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".