Do Parents’ Socio-demographic Profiles Link with the Body Mass Index of Children Five-Year-Old and Below?
Bibliographic record
Abstract
Aims: To investigate the socio-demographic profiles, nutritional status, and the significant relationship between the two variables. Study Design: A descriptive-correlation. Place and Duration of Study: The study was conducted at Malita, Davao Occidental, Philippines, during the first quarter of 2022. Methodology: The study used stratified random sampling in choosing the 187 parents/guardians respondents from 24 sitios/streets. To obtain the pertinent data, the researchers adapted the Philippine National Nutrition Council [1] questionnaire and used the anthropmetric measures using the Electronic Operation Timbang Tools. Moreover, ethical considerations were observed in the conduct of the study. Results: Most of the respondents had 49-59 months old children males. The majority had 3-4 children, were high school level and earned below the poverty line. Most children were average in weight for age and height for age ratios. However, Body Mass Index (BMI) revealed that most children were underweight. It also showed that children's BMI, parents' educational attainment, and monthly income were not significantly associated. The results proved that children's nutrition depends not on parents' educational attainment and economic status but on several other factors. Conclusion: Common belief that parents’ economic status and educational attainment are link with their children's malnutrition. The results of the study prove the assumption to be non-sequitur. Children's health depends significantly on parents' understanding of good nutrition.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".