Maternal perceptions of breastfeeding and infant nutrition among a select group of Maasai women
Bibliographic record
Abstract
BACKGROUND: Adverse health outcomes are higher among Maasai children in the Ngorongoro Conservation Area compared to other co-located ethnic groups and regions of Tanzania. The Mama Kwanza Socioeconomic Health Initiative, a Canadian-Tanzanian partnership delivering healthcare at clinics in this region, gathered perceptions of mothers regarding breastfeeding and infant nutrition in order to inform culturally sensitive, realistic, and effective health promotion efforts. METHODS: A qualitative description approach was used in interviewing 30 Maasai mothers of infants zero to six months of age to explore their infant feeding practices, beliefs, knowledge, and recommendations to support breastfeeding. A local research team was trained to conduct and transcribe the interviews and assist with data interpretation. Qualitative content analysis was used in analyzing the interview transcripts. RESULTS: Lactation is universal in this culture with all the mothers planning to breastfeed for at least one year and most having initiated breastfeeding within one hour of birth. Lactation skills and knowledge are passed down intergenerationally from the elder women. None of the infants less than six months were exclusively breastfed, with a variety of liquid and semi-solid supplements given. Mothers perceived their milk alone was nutritionally insufficient with maternal dietary deficiencies cited as a factor. CONCLUSIONS: While there is a strong breastfeeding culture among the Maasai in Ngorongoro, intersectoral efforts are required to provide culturally respectful health education on the benefits of exclusive breastfeeding and to ensure the maternal dietary adequacy required to achieve this goal. The findings reinforce the importance of international health projects adapting health promotion initiatives to local realities and beliefs in efforts to improve maternal child health.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".