Infant Feeding Practices with Oral Health Implications among Suburban Mothers of Tanzania
Bibliographic record
Abstract
Background: Behaviours around infants feeding influence both nutritive value and the detrimental effects of the infant feeding. Aim: The study aimed to determine infant feeding practices with implication to child’s oral health and examine the related socio-demographic factors. Materials and Methods: A cross-sectional study among mothers of the infants who were attending RCH clinics in suburban areas of northwest Tanzania. Cluster sampling technique was used to obtain the participants and a structured questionnaire was used to interview the mothers. Frequency distributions and cross-tabulations were used for analysis and reported as proportions and identified differences between the comparative socio-demographic categories. Results: Study involved 213 mother-infant pairs; infants’ mean age was 7.22 ± 3.48 months and 53.1% were female babies. Almost all (94.6 %) the infants were breastfed and 75.3% of infants under six months of age were exclusively breastfeeding. In infants age older than six months, 32.6% of mothers reported to have initiated complementary food before the baby turned six months and that sugar sweetened foods were mostly used (68.1%) complementary foods. Higher proportion of mothers who had secondary school education or beyond (43.4%) reported to have initiated complementary food before the recommended age than their counterparts. Mothers who were employed reported to mostly (74.5%) use sugar sweetened complementary foods as compared to unemployed mothers. Conclusion: Infants of this community were mostly breastfed and initiated complementary feeding earlier than recommended time. Employed mothers and those with secondary education or above tended to have unfavorably infant feeding practices than their comparative groups.
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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 | 0.000 | 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) | 0.001 | 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".