Dietary intakes and iron status of vegetarian and non-vegetarian children in selected communities in Accra and Cape Coast, Ghana
Bibliographic record
Abstract
There is a scarcity of information on dietary intake and iron status of Ghanaian children raised on vegetarian diets. A cross-sectional study design was used to compare the diets and iron status of vegetarian children between the ages of 9 months and 11 years (n= 26) with matched controls, non-vegetarian children (n=26) of similar ages and same sex and living within the same communities in Accra and Cape Coast, Ghana. Dietary information was collected using 24-hr food recall and 12-hr home observation. Haemoglobin, plasma ferritin, C-reactive protein, and Transferrin Receptor (TfR) concentrations were determined on finger prick (haemoglobin) and venous blood samples collected during the study. Based on the 24-hr food recall, vegetarian children’s diets were devoid of vitamin B12whereas non-vegetarian children’s diets were not (0.0 ± 0.0 mg vs. 1.5 ± 1.8 mg, p<0.001). The dietary intake based on 12-hr home observation showed similar results. However, vegetarians had significantly higher intake of dietary fibre (17.1 ± 11.9 g vs. 8.4 ± 6.2 g, p= 0.002), thiamine (1.1 ± 0.8 mg vs. 0.5 ± 0.3 mg, p= 0.001) and vitamin A (1702 ± 1887 Retinol Equivalent (RE)vs. 671 ± 691 RE, p= 0.010) than non-vegetarian children. Dietary diversity based on nine food groups was similar between groups (5.8 ±1.0score). Plasma ferritin was higher for non-vegetarian children compared to the vegetarians (59.2± 48.2 ng/mL vs. 34.1± 25.8ng/ml, p= 0.012) but there was no group difference in plasma TfR. The prevalence of anaemia was about 25% in both groups. Typical diets of Ghanaian children lack variety and both vegetarian and nonvegetarian diets are insufficient to support adequate iron status. Iron-rich foods such as meat or supplements are needed. There is urgent need for immediate vitamin B12 supplementation for all vegetarian children and a general need for nutrition education to diversify all children’s diets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".