Effects of a participatory agriculture and nutrition education project on child growth in northern Malawi
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Bibliographic record
Abstract
OBJECTIVE: To investigate whether children in households involved in a participatory agriculture and nutrition intervention had improved growth compared to children in matched comparable households and whether the level of involvement and length of time in the project had an effect on child growth. DESIGN: A prospective quasi-experimental study comparing baseline and follow-up data in 'intervention' villages with matched subjects in 'comparison' villages. Mixed model analyses were conducted on standardized child growth scores (weight- and height-for-age Z-scores), controlling for child age and testing for effects of length of time and intensity of village involvement in the intervention. SETTING: A participatory agriculture and nutrition project (the Soils, Food and Healthy Communities (SFHC) project) was initiated by Ekwendeni Hospital aimed at improving child nutritional status with smallholder farmers in a rural area in northern Malawi. Agricultural interventions involved intercropping legumes and visits from farmer researchers, while nutrition education involved home visits and group meetings. SUBJECTS: Participants in intervention villages were self-selected, and control participants were matched by age and household food security status of the child. Over a 6-year period, nine surveys were conducted, taking 3838 height and weight measures of children under the age of 3 years. RESULTS: There was an improvement over initial conditions of up to 0·6 in weight-for-age Z-score (WAZ; from -0·4 (sd 0·5) to 0·3 (sd 0·4)) for children in the longest involved villages, and an improvement over initial conditions of 0·8 in WAZ for children in the most intensely involved villages (from -0·6 (sd 0·4) to 0·2 (sd 0·4)). CONCLUSIONS: Long-term efforts to improve child nutrition through participatory agricultural interventions had a significant effect on child growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it