Does government food demonstration intervention influence household dietary diversity in the Upper West Region of Ghana?
Bibliographic record
Abstract
Dietary diversity is crucial in ensuring food and nutrition security. In low-middle-income countries, people frequently prioritize the quantity of food they consume over its quality due to a lack of availability and financial limitations. As a result, achieving dietary diversity is often overlooked in favor of ensuring adequate caloric intake. Through a social cognitive theory perspective, our study examines the relationship between food demonstrations and household dietary diversity in Ghana's Upper West Region utilizing cross-sectional survey data from 517 smallholder farmer households. The results from ordered logistic regression presented in odds ratio (OR) show that participating in food demonstrations (OR: 2.585, p<0.01), engaging in home gardening (OR: 1.932, p<0.001), having access to credit (OR: 1.609, p<0.01), self-rated good nutritional status (OR: 1.747, p<0.01), and Waala ethnicity (OR: 3.686, p<0.001) were all positively associated with high household dietary diversity. Conversely, living in the Wa West district was associated with lower dietary diversity (OR: 0.326, p<0.001). Our research findings suggest that policymakers may want to consider implementing community-based educational programs, such as home and school visits for food demonstrations and sensitizations, promoting mother-to-mother support groups for dietary diversity education, nutrition counseling services, and using role-play and local media. In addition, strengthening local agricultural policies through food banks, indigenous seed development, and mobile food markets and enhancing public-private partnerships like the Ghana Schools Feeding Programme and National Food Buffer Stock company could improve the supply chain and distribution networks for diverse food items. Implementing these interventions in the Upper West Region of Ghana could improve health, well-being, food security, and nutritional outcomes.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".