Dietary Pattern, Anthropometric Indices and Developmental Milestone of Children Aged 6-60 Months in Peri-Urban Communities East of Nigeria
Bibliographic record
Abstract
Background: Good nutritional status is of paramount importance for a child’s physical, mental and social development after inter-uterine life. Objective: Dietary pattern, anthropometric indices and developmental milestone of children aged 6-60 months in peri-urban communities were investigated. Design: The children (236) were randomly selected from health centers and nursery schools in three selected communities. Data were collected with structured questionnaire and anthropometry. The questionnaire administered to the mothers of the children elicited information on their socioeconomic characteristics, dietary pattern and developmental milestones of the children. Anthropometric parameters of the children were measured using standard instruments and procedures. The mean length/height and weight of the children in relation to their ages were compared with WHO child growth standard. Data collected were statistically analyzed using SPSS version 16. Results: Less than 6% of the mothers introduced complementary food at 6 months, 31.4% introduced before 6 months and 63.2% after 7 months. Majority (97.5%) of the mothers enriched complementary foods with fish (73.7%), infant formular (72.9%), soybean powder (66.5%) and egg (64.0%). A total of 10.6% and 1.7% of the children were moderately and severely stunted, respectively while 4.7% of them had moderate wasting. Underweight was observed more among children within 6 – 24 months. The mean ages for sitting, crawling, standing with support and standing without support reported in this study were 6, 7, 8 and 10 months, respectively. Conclusion: Scaling up actions on optimal complementary feeding of children would go a long way in improving their nutritional status and physical development.
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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 | 0.000 | 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".