Effect of nutrition education and dairy group membership on nutrition knowledge, practices and diet quality for rural Kenyan farm women
Bibliographic record
Abstract
The typical high-starch, low diversity diet in developing countries is associated with undernutrition, morbidity and mortality. Previous research with households in Mukurwe-ini Division (Central Kenya) found that members of a community-based dairy development group were more food secure and had higher intake of certain micronutrients compared with non-members; however, the prevalence of inadequate intake of multiple micronutrients was high among all women. A nutrition education intervention was developed to enhance women’s nutrition knowledge and food skills to ultimately improve diet quality and micronutrient intakes for women and their families. In addition, it was proposed that the intervention effects would be greater for dairy group members. The Mukurwe-ini study group consisted of 88 women in four dairy membership-duration categories (n=4 x 22) and non-member women (n=23). The study group was previously selected using chain referral sampling. For the intervention, women from each duration-group and non-member women were randomly allocated to intervention (n=55) and control (n=56) groups. Nutrition knowledge and dietary intake (24-hour recall) data were collected from all women over three weeks immediately prior to the intervention (baseline) and again, six months post-intervention, in individual face-to-face interviews. The intervention encouraged food-based strategies to improve intake of vitamin A, iron and zinc and was developed and delivered in collaboration with a Kenyan dietitian. WFood2 was used to compute food and nutrient intakes, dietary diversity and the phytate:zinc molar ratio. Descriptive statistics and linear and logistic regressions analyses were performed using Stata10. Independent of dairy-group membership, a larger proportion of intervention group women, compared to control group women, had the targeted nutrition knowledge and practiced the strategies to improve intake of vitamin A (76% vs 67%, respectively) and zinc and iron (soaked beans and maize 80% vs 13%; avoided tea with meals 67 % vs 5%, respectively). A positive effect of the intervention on dietary diversity was dependent on dairy-group membership status. Positive intervention effects on intake of vitamin A and C were found for non-member women. This study provided evidence that certain intervention effects were dependent on poverty reduction and that all women were able to make positive dietary changes when informed. There is a need to examine longerterm impacts of nutrition education interventions and to explore effective methods to disseminate nutrition information and food-based strategies. Key words : nutrition intervention, micronutrients, food-based strategy, rural, women, dairy, smallholder farmer
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".