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Improving Children's Diet And Nutritional Status Through An Agriculture Intervention With Nutrition Education In Upper Manya Krobo District Of Ghana

2017· article· en· W4389021152 on OpenAlexafffundabout
Grace S. Marquis, Esi K Colecraft, Roland Kanlisi, Comfort Pinto, Richmond Aryeetey, Bridget Aidam, Boat Bannerman

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMcGill University
FundersGlobal Affairs Canada
KeywordsPsychological interventionNutrition EducationEnvironmental healthAgricultureIntervention (counseling)MedicineOverweightCluster randomised controlled trialObesityGerontologyGeographyNursing

Abstract

fetched live from OpenAlex

Integrated financial, agriculture, and education interventions can improve young children's diets by (i) increasing maternal income from small businesses that can be used to purchase nutrient‐rich foods and (ii) expanding access to home‐raised animal food products, such as eggs and milk. Nutrition Links is a 5‐y multi‐dimensional project to improve the health and economic well‐being of vulnerable rural populations in the Upper Manya Krobo district (Eastern Region) of Ghana. In 2013, a district‐wide census of households with infants < 12 mo was completed. A cluster randomized trial then tested the effect of an agriculture intervention with nutrition education sessions to improve young child nutritional status in three of the six sub‐districts. Enrollment occurred in two phases, one year apart. Phase 1 enrollment of 316 women and their children took place in 2014. Communities were randomly assigned to either the control arm or the intervention (poultry small business for egg production, home gardens, and weekly group meetings promoting nutrition and health education). Technical assistance was available each week to address concerns about poultry health, productivity, and egg marketing as well as the gardens. Caregivers reported on egg production and losses (consumption, breakage, donation) each week. Children's diet and nutritional status were documented at baseline and approximately one year later at the endline for phase 1. This analysis focused on dietary changes associated with the intervention and the resulting improvements in children's nutritional status during phase 1. At baseline, only 16% of all children had consumed eggs in the previous 24 hours; the control group tended to consume eggs more than intervention group (21% vs 14%; p=0.09). At endline, 27% of children had consumed eggs the previous day; there was a significant group difference (30% intervention vs. 20% control; p<0.05). A positive change in egg consumption behavior over time (‘no intake’ at baseline to ‘intake’ at endline) was more common among children in the intervention than the control group (24% vs 12%%; p<0.01). Children with this positive dietary behavior change had higher mean weight‐for‐length/height and BMI‐for‐age z‐scores compared to those with a negative change in egg consumption (‘intake’ at baseline to ‘no intake’ at endline) (p<0.01). Other food group changes over the project time, including changing patterns of dairy and legumes, were not associated with anthropometric outcomes. To date, the Nutrition Links project has been successful in increasing access to and consumption of eggs among children. Egg consumption was associated with better nutritional status. The efforts to implement nutrient‐rich vegetable gardens and the promotion of other foods for young children remain challenging, in part due to the harsh environmental conditions (e.g., sporadic rain); these require additional work. Clinical Trials # NCT01985243 Support or Funding Information Global Affairs Canada, World Vision Canada, McGill University

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.009
GPT teacher head0.268
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2017
Admission routes3
Has abstractyes

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