Food Insecurity and it’s Predictors Among Vulnerable Children
Bibliographic record
Abstract
Background: To determine the prevalence of food insecurity and some socio demographic predictors of food insecurity among Vulnerable Children (VC) in Jos, North- central Nigeria. Methods: A cross-sectional comparative study involving 202 VC selected using multi-stage sampling technique across two orphanages and three communities located in sub-urban areas in Jos East, Jos North and Jos South Local Government Area was carried out. A VC was defined as a child who has loss mother, father or both or children who reside with chronically ill parents or reside in institution during the study. Only VC greater than five years but less than 18 years were enrolled. Food security was measured using four questions that were adapted from existing questionnaires. Food insecurity was defined and graded has mild, moderate or high if there was an affirmative response to any one, two or three of four questions. Data generated were analyzed using EPI Info version 3.65 software. The independent variables orphan status, age, gender, place of residence, child level of education, child work, were compared with the dependent variables of food insecurity using bivariate and multivariate analysis. In all statistical test p < 0.05 was considered statistically significant. Results: Of the 202 VC analyzed 38.6 %(78) were girls and 61.4 %(124) were boys with a mean age of 12.7+ 2.6 years. One hundred and two (50.5%) were IVC while 100(49.5%) were HVC. The VC were mostly orphans (83.2% [168]) while 16.8 %(34) were non orphans. All children were enrolled into school, 137 were in primary school, while the rest were in secondary school. Majority of the HVC were cared for by their mother (24.8% 50[VC]), father (1.9% [4]), uncles (8.4% [17]), aunts (10% [5.0]), grandparents (5.4% [11]), and non relatives (8% [4.0]). The overall prevalence of food insecurity was 48.5%. Of the 98 Food insecure VC 65% were HVC compared to 35% observed among IVC(p <0.05); 69.6 % were children older than 12 years compared to 30.4% obsereved in VC who were <12 years. The odds of food insecurity was 2.1 times in older VC aged 13-18 years (CI=1.1-3.9). VC attending Secondary School were 1.9 time likely to be food insecure compared to those in primary school (CI=1.1-3.5). Similarly, HVC were 3.6 times more likely to be food insecure compared to IVC. (CI=1.9-6.9). VC who worked to earn money had a 2.8times odd to be food insecure (CI=1.2-6.24). Paternal orphans were 2.4 times more likely to be food insecure (CI= 1.0-6.5) compared to other group of VC. Being a maternal orphan, a double orphan or non orphan VC does not predict food insecurity. Sexual experience was also not a predictor of food insecurity. Conclusion: The implication of hunger, in an adolescent child who considered himself/herself overworked is enormous on child physical, emotional and social development. This might lead to more children living their homes to seek shelter in orphanages were the food security status even though not perfect is better than the household. This can be prevented if Household VC are actively identified and their families supported with programs that can make them food secure.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".