Religiosity and Risky Sexual Behavior Among Adolescents in Sarawak, Malaysia
Bibliographic record
Abstract
INTRODUCTION: Risky sexual behavior is defined as a behavior that increases one’s risk of contracting or being infected by sexually transmitted infections (STIs) and experiencing unintended pregnancies. This study examined the relationship between religiosity and risky sexual behavior among adolescents in the state of Sarawak, Malaysia. METHODS: The inclusion criteria included 1,146 unmarried adolescents aged between 16 and 19 years, whereby they answered a validated self-administered questionnaire using the modified Religion Scale and Risky Sexual Behavior – Unsafe Sex Scale. The analysis was restricted to respondents who reported to have had sex. RESULTS: Overall, the response rate recorded 95% (n=1,086), whereby the prevalence of respondents who reported that they have had sex was 9.5%, n=103 (71 males, 32 females, mean age 17.82). Descriptive results further showed that the prevalence of those who have had sex for male and female were 6.53% and 2.94%, respectively. The earliest sexual debut was revealed to be at 13 years of age. Moreover, bivariate analyses indicated a significant and negative correlation between religious practice and risky sexual behavior (r= -.23; p<.05). CONCLUSION: The study revealed that religious adolescents are more likely to avoid risky sexual behavior. This means that religious practice may become a potential protective factor in influencing adolescents to avoid risky sexual behaviors.
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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 | 0.000 | 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) | 0.001 | 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".