Association of household food insecurity with dietary intakes and nutrition-related knowledge, attitudes, and practices among parents, aged ≥ 18 years in Gaza Strip, Palestine: A descriptive study
Bibliographic record
Abstract
The purpose of this study was to examine the association between household food insecurity and dietary intake and nutrition-related knowledge, attitudes, and practices (KAP) among parents aged ≥18 years in the Gaza Strip, Palestine. The current cross-sectional study was carried out in 2021 among adults (mothers and fathers) aged ≥18 years. A total of 614 participants were selected from all Gaza Strip governorates using a cluster random sampling method. To assess the nutrition-related KAP, we employed the Food and Agriculture Organization (FAO) of the United Nations questionnaire (Modules 5, 6, 7, and 9). Data regarding household food security status, demographic and socioeconomic characteristics of the study participants, anthropometric measurements, and dietary intakes were obtained using standard questionnaires and methods. Statistical analysis was performed using SPSS version 25. About 71.5% and 28.5% of the study participants were household food-insecured and household food-secured, respectively. Significant associations were found between participants from household food-secured and household food-insecured concerning several socio-demographic variables, anthropometric measures, intakes of energy, protein, carbohydrate, and calcium; nutrition-related knowledge and attitudes toward undernutrition and vitamin A deficiency; nutrition-related KAP of iron deficiency anemia; and nutrition-related attitudes and practices of food safety (P-values < 0.05 for all). In conclusion, the demographic and socioeconomic status, anthropometric measurements, and poor dietary intakes may be associated with high levels of household food insecurity, while having nutrition-related adequate KAP may be associated with low levels of household food insecurity among parents aged ≥18 years.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".