Workplace Impact of Menopause Symptoms Among Canadian Women Physicians
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design, Setting, and Participants
2.2. Outcomes and Covariates
2.3. Statistical Analysis
2.4. Qualitative Analysis
3. Results
3.1. Participant Characteristics
3.2. Workplace and Practice Characteristics
3.3. Menopausal Symptoms and MHT Use
3.4. Impact of Menopausal Transition on Work
3.5. Secondary Outcomes
3.6. Qualitative Findings
- “I have sought out physicians and other resources for perimenopause but they are difficult to find even as a physician who knows the system”
- “The worst was not being taken seriously by my own family doctor of more than 20 years”
- “I suffered through the symptoms despite reaching out to my male GP about it. HRT was not offered until a few months ago when I saw a OBGYN for post-menopausal bleeding. After testing [was] normal, she offered HRT and I feel great. My sexual symptoms resolved, [I] sleep very well, and ‘arthritic’ pain disappeared.”
- “I am sure directors and colleagues seldom know about personal medical or menopausal issues. I don’t share because I am sure it would be viewed as a weakness.”
- “Generally something that women are expected to “tolerate”—Would not be understood or accommodated by men in my department.”
- “I had no idea how bad it can get. We need so much more education about this issue.”
- “It’s worse than most people acknowledge”
- “I had no idea that sleep disturbance would so profoundly affect me or be so difficult to treat.”
- “Tough it out is the way to go and just deal with it. There are far more challenging disabilities that others deal with.”
- “It was a very easy experience and keeping working helped.”
- “I think menopause was freeing experience for me. My symptoms were mild and I enjoy the lack of monthly cycle of pain and mood changes.”
4. Discussion
4.1. Limitations
4.2. Future Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Demographic Characteristics | Frequency (%) |
|---|---|
| Current age | |
| ≤40 | 3 (1.4%) |
| 41–45 | 18 (8.3%) |
| 46–54 | 101 (46.5%) |
| 55–64 | 77 (35.5%) |
| ≥65 | 18 (8.3%) |
| Believe to be | |
| Postmenopausal | 156 (71.9%) |
| Perimenopausal | 61 (28.1%) |
| Age of last menstrual period | |
| Pre-menopausal | 61 (28.1%) |
| ≤40 | 13 (6.0%) |
| 41–45 | 14 (6.5%) |
| 46–54 | 103 (47.5%) |
| 55–64 | 26 (12.0%) |
| Location in Canada * | |
| Western | 93 (42.9%) |
| Central | 4 (1.8%) |
| Ontario region | 89 (41.0%) |
| Quebec region | 12 (5.5%) |
| Atlantic region | 19 (8.8%) |
| Practice Characteristics | Frequency (%) |
|---|---|
| Specialty Type | |
| Surgical | 65 (30.0%) |
| Non-surgical | 149 (68.7%) |
| Missing | 3 (1.4%) |
| Years in practice | |
| 0–4 | 2 (0.9%) |
| 5–9 | 7 (3.2%) |
| 10–20 | 68 (31.3%) |
| >20 | 140 (64.5%) |
| Current work hours | |
| Part-time | 67 (30.9%) |
| Full-time | 150 (69.1%) |
| Type of practice | |
| Community | 98 (45.2%) |
| Academic | 56 (25.8%) |
| Both community and academic | 63 (29.0%) |
| Practice geographic setting | |
| Urban or peri-urban | 196 (90.3%) |
| Rural | 18 (8.3%) |
| Remote | 3 (1.4%) |
| Type of practice facility | |
| Hospital | 61 (28.1%) |
| Clinic | 70 (32.3%) |
| Both hospital and clinic | 86 (39.6) |
| Job structure | |
| Group practice member | 155 (71.4%) |
| Work independently | 62 (28.6%) |
| Flexible Work Hours | 136 (62.7%) |
| Night Shifts | 127 (58.5%) |
| Simple Linear Regression | |||
|---|---|---|---|
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 1.789 (0.160) | 1.483–2.113 | <0.001 |
| Composite MRS score | 0.086 (0.009) | 0.068–0.104 | <0.001 |
| Model summary: F (1,204) = 86.90, p < 0.001, R2 = 29.9% | |||
| Multiple linear regression | |||
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 1.244 (0.340) | 0.573–1.916 | <0.001 |
| Composite MRS score | 0.082 (0.009) | 0.064–0.101 | <0.001 |
| Age | |||
| ≤40 | −0.042 (0.582 | −1.190–1.106 | 0.943 |
| 41–45 | 0.349 (0.337) | −0.315–1.013 | 0.301 |
| 46–54 | 0.581 (0.260) | 0.069–1.093 | 0.026 |
| 55–64 | 0.157 (0.263) | −0.362–0.675 | 0.552 |
| ≥65 | Reference | ||
| Practice type | |||
| Community | 0.304 (0.168) | −0.026–0.635 | 0.071 |
| Academic | 0.344 (0.197) | −0.046–0.733 | 0.083 |
| Both community and academic | Reference | ||
| Practice facility | |||
| Hospital | −0.162 (0.179) | −0.515–0.190 | 0.366 |
| Clinic | −0.066 (0.191) | −0.443–0.311 | 0.730 |
| Both hospital and clinic | Reference | ||
| Specialty | |||
| Non-surgical | 0.037 (0.156) | −0.271–0.345 | 0.814 |
| Surgical | Reference | ||
| Job includes overnight call/shifts | 0.061 (0.150) | −0.235–0.358 | 0.683 |
| Have flexible working hours | 0.036 (0.147) | −0.253–0.326 | 0.804 |
| Model summary: F (12,190) = 9.05, p < 0.001, R2 = 36.4% | |||
| Simple Linear Regression | |||
|---|---|---|---|
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 1.023 (0.159) | 0.709–1.336 | <0.001 |
| Composite MRS score | 0.083 (0.009) | 0.065–0.101 | <0.001 |
| Model summary: F (1,190) = 81.11, p < 0.001, R2 = 29.9% | |||
| Multiple linear regression | |||
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 0.701 (0.340) | 0.030–1.373 | <0.001 |
| Composite MRS score | 0.083 (0.010) | 0.065–0.102 | <0.001 |
| Age | |||
| ≤40 | 0.012 (0.574) | −1.120–1.144 | 0.983 |
| 41–45 | 0.425 (0.332) | −0.230–1.080 | 0.202 |
| 46–54 | 0.122 (0.258) | −0.387–0.632 | 0.637 |
| 55–64 | −0.050 (0.261) | −0.565–0.466 | 0.849 |
| ≥65 | Reference | ||
| Practice type | |||
| Community | 0.208 (0.169) | −0.125–0.540 | 0.219 |
| Academic | −0.128 (0.198) | −0.519–0.263 | 0.521 |
| Both community and academic | Reference | ||
| Practice facility | |||
| Hospital | 0.140 (0.182) | −0.220–0.500 | 0.444 |
| Clinic | −0.236 (0.193) | −0.616–0.145 | 0.223 |
| Both hospital and clinic | Reference | ||
| Specialty | |||
| Non-surgical | 0.004 (0.157) | −0.305–0.314 | 0.977 |
| Surgical | Reference | ||
| Job includes overnight call/shifts | 0.002 (0.152) | −0.299–0.302 | 0.991 |
| Have flexible working hours | 0.322 (0.149) | 0.027–0.617 | 0.032 |
| Model summary: F (12,176) = 8.14, p < 0.001, R2 = 35.7% | |||
| Simple Linear Regression | |||
|---|---|---|---|
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 5.367 (0.198) | 4.978–5.757 | <0.001 |
| Composite MRS score | −0.032 (0.011) | −0.054–−0.009 | 0.006 |
| Model summary: F (1,214) = 7.84, p = 0.006, R2 = 3.5% | |||
| Multiple linear regression | |||
| Predictors | B (SE) | 95% CI | p-value |
| Constant | 6.025 (0.415) | 5.206 to 6.844 | <0.001 |
| Composite MRS score | −0.024 (0.012) | −0.047 to −0.001 | 0.039 |
| Age | |||
| ≤40 | −1.068 (0.723) | −2.494–0.358 | 0.141 |
| 41–45 | −0.726 (0.386) | −1.484–0.035 | 0.061 |
| 46–54 | −0.914 (0.300) | −1.505–−0.322 | 0.003 |
| 55–64 | −0.609 (0.303) | −1.208–−0.011 | 0.046 |
| ≥65 | Reference | ||
| Practice type | |||
| Community | −0.056 (0.209) | −0.469–0.357 | 0.789 |
| Academic | 0.109 (0.242) | −0.369–0.587 | 0.655 |
| Both community and academic | Reference | ||
| Practice facility | |||
| Hospital | 0.344 (0.219) | −0.088–0.776 | 0.118 |
| Clinic | −0.153 (0.237) | −0.620–0.314 | 0.519 |
| Both hospital and clinic | Reference | ||
| Specialty | |||
| Non-surgical | −0.209 (0.192) | -0.588–0.171 | 0.280 |
| Surgical | Reference | ||
| Job includes overnight call/shifts | −0.161 (0.186) | −0.528–0.206 | 0.388 |
| Have flexible working hours | 0.205 (0.181) | −0.152–0.562 | 0.260 |
| Model summary: F (12,200) = 2.54, p = 0.004, R2 = 13.2% | |||
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Brent, S.E.; Shirreff, L.; Yanchar, N.L.; Christakis, M. Workplace Impact of Menopause Symptoms Among Canadian Women Physicians. Healthcare 2025, 13, 2699. https://doi.org/10.3390/healthcare13212699
Brent SE, Shirreff L, Yanchar NL, Christakis M. Workplace Impact of Menopause Symptoms Among Canadian Women Physicians. Healthcare. 2025; 13(21):2699. https://doi.org/10.3390/healthcare13212699
Chicago/Turabian StyleBrent, Shannon E., Lindsay Shirreff, Natalie L. Yanchar, and Marie Christakis. 2025. "Workplace Impact of Menopause Symptoms Among Canadian Women Physicians" Healthcare 13, no. 21: 2699. https://doi.org/10.3390/healthcare13212699
APA StyleBrent, S. E., Shirreff, L., Yanchar, N. L., & Christakis, M. (2025). Workplace Impact of Menopause Symptoms Among Canadian Women Physicians. Healthcare, 13(21), 2699. https://doi.org/10.3390/healthcare13212699

