Determinants of condom use by male adolescents in Indonesia during their first sexual intercourse: 2017 national survey data analysis
Bibliographic record
Abstract
Introduction:The 2017 Indonesian Demographic and Health Survey (IDHS) shows that male adolescents' prevalence of condom use is relatively low during their first sexual intercourse.The present study aimed to ascertain the determinants of condom use by male adolescents in Indonesia during their first sexual intercourse. Material and methods:A quantitative analysis with a cross-sectional approach of secondary data from IDHS 2017 was used in this research.Sample used included 980 male adolescents aged 15-24 years, unmarried, and have had a sexual intercourse.Determinant analysis was conducted with multivariable binomial logistic regression analysis. Results:The results showed a greater tendency of condom use during first sexual intercourse by male adolescents with a higher education level (AOR: 2.47; 95% CI: 1.41-4.34%),age of ≥ 18 years (AOR: 1.48; 95% CI: 1.09-2.00%),with a positive attitude towards condom use (AOR: 2.08; 95% CI: 1.40-3.11%),and exposed to all mass media (AOR: 2.00; 95% CI: 1.43-2.80%).However, a reverse trend occurred if first sexual partner was not a sex worker, such as a friend or girlfriend (AOR: 0.29; 95% CI: 0.15-0.56%). Conclusions:Interventions in the control of STIs, including HIV/AIDS, through condom use in male adolescents, should be focused on the age group of < 18 years, with lower secondary education level, and among the most at-risk individuals.These efforts can be conducted through comprehensive, community-based reproductive health and sexuality education outside school, and based on the curriculum applied in these institutions.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".