Assessing young adults' menopause knowledge to increase understanding of symptoms and help improve quality of life for women going through menopause; a student survey
Bibliographic record
Abstract
BACKGROUND: Due to menopause being a largely invisible and under-discussed topic in wider society, women often deal with menopause-related complications on their own. Social support and awareness have been shown to reduce negative menopausal experiences; however, lack of menopause knowledge, particularly among younger people, may deter support for women suffering from menopause symptoms. This study aims to assess the level of knowledge young adults have on menopause to be able to create interventions that target knowledge gaps and increase understanding of women's experiences and difficulties during their menopause transition. METHODS: We created an electronic questionnaire based on menopause literature and guidelines from Menopause Societies. It was pilot-tested on young people in the target group age (n = 14; 7 male and 7 female), menopause clinicians (n = 5), and women experiencing menopause (n = 4). The final survey included questions on participant demographics, general menopause knowledge, and options to support menopause management and was distributed through university student newsletters. Responses over a two week period were collected anonymously. Descriptive statistics were applied to characterize participants, define menopause knowledge, and identify gaps. Chi-squared statistics was used for group comparison, and open questions were analyzed using qualitative content analysis. RESULTS: Survey responses were collected from 828 students; the average age was 22.1 ± 5.1 and 83.6% were female. Participants belonged to all faculties and included students from a variety of family settings and living conditions. Knowledge questions revealed a good understanding of the basic menopause physiology for most respondents, but there were gaps in understanding of symptoms and symptom management. Female sex and personal connection to menopausal women had a positive effect on the degree of menopause knowledge. Both males and females reported increased knowledge confidence at the end of the survey. CONCLUSION: Our survey provides evidence that young adults of both sexes have a general baseline knowledge of menopause and its symptoms and are open to learning strategies to help support menopausal women. Our findings will assist in developing targeted educational resources to increase social support and awareness, reduce stigma and improve the quality of life for menopausal women, and help prepare younger women for their future menopause journey.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".