Maternal social determinants of stunting events in Kulon Progo, Yogyakarta
Bibliographic record
Abstract
Background and purpose: Kulon Progo District is one of the 100 priority districts in Indonesia for stunting program with a prevalence of 22.65%. The purpose of this research is to identify association between mother's education, family income and exclusive breastfeeding history with stunting events in Kulon Progo District, Yogyakarta.Methods: This research used a cross sectional design which conducted in Kulon Progo District, Yogyakarta. There were 729 children aged 0-59 months recorded in the integrated service post (posyandu) who met the inclusion criteria. Data collection was conducted using a questionnaire for children and mothers’ characteristics, while stunting status was retrieved from the growth monitoring card. Data analysis was conducted using Chi-Square test.Results: Children in the survey were 53.77% boys and around a quarter (24.69%) were at 25-36 months old. The majority of the mothers (72.98%) were between the ages of 26 and 35 years with high school education (67.35%) and most of them did not work (82.17%). Children with lower maternal education are less likely to experience stunting (PR=0.751; 95%CI: 0.593-0.952; p=0.013), and those from lower income family have almost five fold increased chance of stunting (PR=4.562; 95%CI: 2.643–7.874; p<0.001). Whilst for history of exclusive breastfeeding, the association was not statistically significant with stunting (PR=0.795; 95%CI: 0.529–1.196; p=0.239)Conclusion: There is a relationship between maternal and family education with the probability of stunting, while there is 20% reduced chance of stunting if children were breast fed although it was not statistically significant. Improving maternal awareness on stunting is essential for stunting management programs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".