The Association between Knowledge and Attitude, in Reproductive Health and Sexual Behavior in Female Adolescents, Banda Aceh
Bibliographic record
Abstract
Background: More than a quarter of the world's population is between the ages of 10 and 24, with 86% living in less developed countries. These young people are tomorrow's parents. Reproductive health is important for adolescents. The reproductive and sexual health decisions they make today will affect the health and well-being of their communities and of their countries for decades to come. Lack of knowledge about reproductive health in adolescents can make them easily influenced by misinformation that is harmful to their reproductive health. This study aimed to determine the association between knowledge, attitude, and healthy sexual behavior among female high school students in Banda Aceh. Subjects and Method: This was a cross-sectional study conducted at senior high school 8, Banda Aceh, Indonesia, in March 2012. A sample of 145 female students was selected for this study by stratified random sampling. The dependent variable was healthy sexual behavior. The independent variables were knowledge and attitude about reproductive health. The data were collected by questionnaire and analyzed by Chi-square test. Results: 58.62% female students had good knowledge and 65.52% had positive attitude. Healthy sexual behavior increased with good knowledge (OR=1.76; 95% CI= 0.51 to 0.67; p= 0.147) and positive attitude about reproductive health (OR= 2.00; 95% CI= 0.58 to 0.73; p= 0.078). Conclusion: Healthy sexual behavior is associated with knowledge and attitude about reproductive health. Therefore, health education plays an important role in increasing their knowledge and behavior of young people in order to maintain good reproductive health.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".