The Relationship between Health Services and Stunting Incidence in Toddlers at POSYANDU Padasuka Bandung Regency
Bibliographic record
Abstract
Stunting is a condition of chronic malnutrition due to malnutrition in the long term. The prevalence of stunting in children under five in Indonesia is still high at 24.4%. Limited health services such as pregnancy checkups, consumption of Fe tablets, visits to posyandu and immunization status as determinants of the quality of human resources. The purpose of this study was to determine the relationship between Health Services and stunting incidence in toddlers in Posyandu padasuka village, Kutawaringin District, Bandung Regency in 2021. This research method uses an analytical observational approach with a restrospective case-control design. The samples in this study were 60 toddlers which included 30 case groups and 30 control groups, the sampling technique used purposive sampling techniques using chi-square test analysis. The results of the study had a meaningful relationship between pregnancy examination (p= 0.001, OR=38,500, 95% CI:7,416-199,875), Fe tablet consumption (p=0.001, OR= 38,000 95% CI: 7,416-199,875), visits to posyandu (p=0.001 OR=14,000 95% CI:2,818-69,562) and immunoization status (p=0.001 OR=10,286, 95% CI:2,557-41,372) with stunting events. Advice for Health workers Need to increase counseling about health services so that increased awareness to improve nutritional status
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".