Knowledge, Attitudes, and Practices Regarding Menstrual Hygiene among Girls in Ghizer, Gilgit, Pakistan
Bibliographic record
Abstract
INTRODUCTION: Menstrual hygiene is a critical issue encountered by women and girls of reproductive age that negatively affects their health and empowerment. It is still deemed a taboo subject in several parts of the world, and girls hesitate to discuss menstruation with their family members, friends, or schoolteachers, which creates hurdles when they experience their menarche. Girls residing in rural areas encounter more problems, since they lack proper resources and knowledge to manage their menstruation in school as well as at home. The purpose of this study was to evaluate the knowledge, attitudes, and practices regarding the menstrual hygiene of girls residing in rural areas of Gilgit, Pakistan. METHODS: A descriptive cross-sectional design was used to assess the study questions. The consecutive sampling technique was applied to recruit 300 female participants from remote areas of Gilgit, Pakistan, who were 13 to 22 years old. A pre-tested questionnaire was utilized to collect the data, and SPSS version 21.0 was used to analyze them. RESULTS: The study found that more than half of the participants had a poor level of knowledge and practices and negative attitudes towards menstrual hygiene. This could be due to many cultural and social factors associated with menstrual hygiene. CONCLUSIONS: The study concluded that the study participants were not knowledgeable about menstrual hygiene. They had poor practices and attitudes regarding menstrual hygiene. Hence, it is recommended that frequent sessions should be conducted by healthcare workers to enhance the knowledge of parents, teachers, and young girls, to increase their positive attitudes and practices regarding menstrual hygiene.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".