Determinants of Modern Contraceptive Use among Young Married Women (Age 15-24) in Indonesia
Bibliographic record
Abstract
Younger maternal age increases maternal and neonatal risks, while the use of contraceptives among young married women is noticeably lower compared to older women. Contraceptive use can reduce the risk of reproductive health problems among young women. This study aimed to assess the determinants of modern contraceptive use among young married women aged 15-24 in Indonesia. The study utilized data of the 2019 Indonesian Population, Family Planning and Family Development Program Performance and Accountability Survey. The analysis was restricted to 3,927 young married women who were not pregnant during the survey, as they were likely to report either doing something or not postponing or delaying pregnancy. Logistic regression analyses were performed to predict factors influencing modern contraceptive use among young married women. Findings indicate that all demographic factors (age, residence, and region) and education were associated with modern contraceptive use. The number of living children and desire to have children revealed significant variability in modern contraceptive use among young married women. Other important factors in explaining contraceptive use were family planning program exposure factors such as knowledge of the contraceptive method and discussed family planning with health worker. The study underlines the importance of intervention programs aimed at increasing modern contraceptive information targeting adolescents who are older, residen in urban area, live in islands other than Java-Bali, have higher education; and encouraging provider-clients’ family planning interpersonal communication.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".