Relationship between caregivers' income generation activities and their children's animal source food intake
Bibliographic record
Abstract
Enhancing Child Nutrition through Animal Source Food Management (ENAM) project provided financial and technical support for caregivers’ Income Generation Activities (IGA) with the aim of increasing their access to Animal Source Foods (ASF) for improved child nutrition. Using baseline data from the ENAM project, this study assessed the relationship between the type of caregivers’ IGA -whether it is related to ASF [ASF-R] or unrelated [ASF-U] - and the quantity and diversity of ASF consumed by their children. Structured questionnaire was used to obtain data on household socioeconomic and demographic characteristics and children’s ASF consumption in the past week from 530 caregivers of children 2-to5 years old in 12 communities in three agro-ecological zones of Ghana. A weighed food record of children’s dietary intakes was also completed during two 12-hour home observations on a randomly selected sample of 117 children. Approximately 6% (n=32) of caregivers were not engaged in any IGA. Of the caregivers who were involved in an IGA (n=498), approximately one-third of them were engaged in an ASF-R IGA, such as selling smoked fish, selling eggs and the selling cooked food that included ASF. Caregivers (67%) were engaged in ASF-U IGA, such as crop farming, petty trading in non ASF items and artisanal work. The quantity and diversity of ASF consumed by the children did not differ (p=0.988 and p=0.593, respectively) by the type of caregiver IGA. However, after accounting for agro-ecological zone, being involved in an ASF-R IGA positively predicted children’s ASF diversity (p<0.001). The number of children in the household negatively predicted children’s ASF diversity (p=0.011) whereas high/medium household wealth status tended to be positively associated with ASF diversity (p=0.064).The study suggested that there is need to promote ASF-R IGA among caregivers to increase the ability to purchase more varied and nutritious food items for improving children’s growth.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".