The relationships of menopause and hormone replacement therapy on modifiable health behaviours
Bibliographic record
Abstract
Background: Menopause and hormone replacement therapy (HRT) may be associated with changes in modifiable health behaviours (MHBs). However, their independent and synergistic role on MHBs and national health guideline adherence is unclear. This study characterized MHBs (dietary intake, physical activity, and sleep) in general and in relation to guidelines among females based on menopause/HRT status. Methods: Females from the Canadian Longitudinal Study on Aging were classified into four groups: 1) pre/perimenopausal, 2) post-menopausal and have never used HRT, 3) post-menopausal with past HRT use, or 4) post-menopausal with current/recent HRT use. MHBs were collected via questionnaires. Dietary intake was categorized into five groups: grains, fruit/vegetables, dairy, proteins, fats, or processed foods. Physical activity was classified into walking/light, moderate-vigorous, and strength-based activities (minutes/week). Sleep was expressed as mean sleep duration over the past month (hours/night). Linear mixed models compared MHBs across four groups (reference: pre/perimenopausal females), and binary logistic regressions assessed adherence to physical activity and sleep guidelines, adjusting for age, body mass index (BMI), race, marital status, income, education, alcohol intake, and smoking status. Results: A total of 10,381 females were included (median [IQR] age: 60 [15] years; BMI: 27 [7] kg/m²). Fruit/vegetables, fats, and processed foods were lower in post-menopausal females who have never used HRT (β=-0.058±0.140, β=-0.086±0.026, β=-0.118±0.026; all p≤0.001) and past HRT users (β=-0.038±0.017, p=0.002; β=-0.075±0.018, p=0.021; β=-0.116±0.031; all p<0.001). Proteins intake was higher in post-menopausal current HRT users (β=0.058±0.018, p=0.002). Walking/light and moderate-vigorous activity were higher in post-menopausal females who have never used HRT (β=0.103±0.032, p=0.001; β=0.095±0.041, p=0.019) and current HRT users (β=0.108±0.047, p=0.021; β=0.130±0.061, p=0.032). The overall model intercept was significant for strength-based physical activity (p=0.037), with no post hoc differences across menopause/HRT groups. Sleep duration was shorter in post-menopausal females who have never used HRT (Mean±SD: 6.8±1.2); β=-0.093±0.036, p=0.010), but was longer in post-menopausal current HRT users (7.0±1.3; β=0.123±0.054, p=0.023). The model intercept for meeting sleep guidelines was significant; post-menopausal current and past HRT users met 22% and 20% less, respectively (β=-0.248±0.094, p=0.009; β=-0.223±0.078, p=0.004). Conclusion: Menopause and HRT status may influence MHBs, highlighting the need for future research on interventions addressing these factors.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".