Awareness and attitude towards sex health education and sexual health services among youngsters in rural and urban settings of Sindh, Pakistan.
Bibliographic record
Abstract
OBJECTIVES: To assess attitudes and awareness regarding sexual health education and services among young individuals in Pakistan. METHODS: A cross-sectional survey was conducted in urban and semi-urban districts of Sindh, Pakistan, in 2010. A self-administered questionnaire was distributed in-hand among 200 young people aged 16-25 years; who were selected on the basis of convenience sampling. Of the questionnaires distributed, 165 (82%) were returned. After checking for quality and consistency, 150 (75%) forms were found good enough to be used for categorical analysis, using PASW Statistics 18 for Mac 2008 version. RESULTS: Of the 150 participants, 94 (63%) were males and 56 (37%) were females. A quarter of them (n = 38; 25.3%) said sexual health services were available too far away from their area. Besides, they also found the staff to be 'not competent.' Almost one-third (n = 49; 32.7%) reported of not having matching gender choice (male or female) of professionals with whom they could feel comfortable sharing their sexual health concerns. Majority of the participants (n = 101; 67.3%) considered trained health professionals as the primary source of sexual health education, whereas, 90 (60%), 75 (50%), and 59 (39.3%) also reported to have secondary sources, including internet, parents and telephone helpline respectively. CONCLUSION: Sexual health education and services for the young are barely enough or satisfactory in terms of quantity and quality in Pakistan, suggesting a case for having curriculum-based sex education implemented in academic 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".