Knowledge and attitudes associated with menopause among women aged 45 to 60 years: a pilot study among rural and urban women in Bangladesh
Bibliographic record
Abstract
OBJECTIVE: To assess knowledge and attitudes associated with the menopause transition among women in Bangladesh. METHODS: A cross-sectional survey was conducted among women (age range 45-60 y), 160 participants were selected from both urban and rural settings using a systematic sampling procedure. We used face-to-face interview techniques employing a semistructured questionnaire. Bivariate and multivariate regression analyses were done to assess the associated factors. RESULTS: Around one-fourth (23%) of the participants did not have a basic understanding about symptoms of menopause. Knowledge about menopause increased proportionately with higher education levels (primary education, risk ratio [RR] = 3.91, 95% confidence interval [CI] = 0.66-22.92; secondary education, RR = 6.10, 95% CI = 1.26-29.41; higher education, RR = 6.74, 95% CI = 1.33-34) and was more common among urban than rural women (P = 0.001). In addition, women who were service holders had greater knowledge about menopause compared with women who worked in the home (RR = 8.67, 95% CI = 1.94-38.58). Most of the women (96%) suffered from different kinds of depression during the menopause transition. Key barriers to gaining knowledge about menopause included access to information (63%), social stigma (57%), and shame (52%). CONCLUSIONS: Menopause is a neglected issue in Bangladesh. Accurate and appropriate information regarding premenopause and menopause can help women cope with this life transition. Social and familial support may also play a role in minimizing isolation and depression. Public health messaging to increase awareness and knowledge about menopause should be undertaken to overcome the stigma and shame associated with menopause in Bangladesh. : Video Summary:http://links.lww.com/MENO/A556.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".