Knowledge and Dietary Practices on Vitamin A and Iron Among Maasai Pregnant Women: A Mixed-Method Study, Ngorongoro, Tanzania
Bibliographic record
Abstract
Naelijwa Mshanga,1 Haikael Martin,1 Pammla Petrucka2 1Department of Food Biotechnology and Nutrition Sciences, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania; 2College of Nursing, University of Saskatchewan, Saskatoon, CanadaCorrespondence: Naelijwa Mshanga Email mshangan@nm-aist.ac.tzBackground: Provision of micronutrients knowledge is important during pregnancy as it informs mothers what to eat and avoid, to ensure sufficient micronutrient absorption by the mothers and fetuses. Most studies focus on general nutrition knowledge and dietary practices, but there is minimal known about micronutrient knowledge especially in pastoral societies. Therefore, the aim of this study was to explain the current micronutrient knowledge and dietary practices of pregnant women in this unique pastoral society.Methods: This is a mixed-method study that involves focus group discussions and questionnaires in assessing the micronutrient knowledge and frequency micronutrients dietary practices of Maasai pregnant women from one week to thirty-six weeks pregnant. Chi-square test and descriptive statistics, such as percentages, frequency distribution and measures of central tendency, were used to assess socio-demographic data, micronutrients knowledge and frequency of micronutrients dietary practices and the comparison between knowledge and dietary practices, while inductive thematic content analysis was used to analyze qualitative data.Results: In total, 140 questionnaires were completed with a response rate of 100% and 32 participants drawn from this group attended one of four focus group discussions. The study found that most participants had good knowledge of dietary iron, while less than a quarter (24.3%) had good knowledge of vitamin A. Moreover, there was a statistical significance difference (P=0.043) between knowledge and dietary practices. Low dietary micronutrient intake was primarily due to cultural restrictions, prohibition in cultivating and unavailability of micronutrients rich foods in this geographical area.Conclusion: The majority of the study participants had good knowledge of iron compared to vitamin A; however, they do not translate the knowledge in dietary practices. Therefore, the Government of Tanzania through Ministry of Education and Health should introduce different interventions to increase micronutrients knowledge and practices in pastoral societies.Keywords: micronutrients, pregnant women, pastoralists, dietary iron, vitamin A, Tanzania
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".