Prevalence and impact of vasomotor symptoms due to menopause among women in Canada: A subgroup analysis from an international cross-sectional survey of Women with Vasomotor Symptoms Associated with Menopause (WARM Study)
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to assess the prevalence of postmenopausal vasomotor symptoms (VMS) and the impact of VMS and related treatment patterns among perimenopausal and postmenopausal Canadian women. METHODS: A subgroup analysis of data from a cross-sectional online survey of women aged 40-65 years conducted November 4, 2021, through January 17, 2022, evaluated the prevalence of moderate/severe VMS among postmenopausal Canadian women. The analysis also assessed survey responses from perimenopausal and postmenopausal Canadian women with moderate/severe VMS who completed the Menopause-Specific Quality of Life questionnaire, Work Productivity and Activity Impairment questionnaire, and the Patient-Reported Outcomes Measurement Information System Sleep Disturbances-Short Form 8b and answered questions about treatment patterns and attitudes toward treatments. RESULTS: Of 2,456 Canadian postmenopausal women, 360 (14.7%; primary analysis) reported moderate/severe VMS in the previous month. Perimenopausal and postmenopausal women with moderate/severe VMS (n = 400; secondary analysis) reported negative impact on overall quality of life (mean total Menopause-Specific Quality of Life questionnaire score: 4.3/8). VMS impaired overall work and daily activities by 30.2% and 35.7%, respectively. Overall mean (SD) Patient-Reported Outcomes Measurement Information System Sleep Disturbance-Short Form 8b score (scale 8-40) was 28.5 (6.9), confirming sleep disturbances in this population. The majority of women (88% of the total cohort) sought advice, but about half were never treated. Most women had positive or neutral attitudes toward menopause. CONCLUSIONS: In a survey conducted in Canada, moderate/severe VMS were reported by 14.7% of postmenopausal women and were associated with impairment in quality of life, work productivity, daily activities, and sleep in perimenopausal and postmenopausal women.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".