Menopause is a natural process in which the ovaries ceases the production of reproductive hormones for at least 12 consecutive months1. Great proportion of women experience menopausal symptoms, which their nature and severity varies between individuals2, most of menopausal women, up to 75%, have vasomotor effects such as hot flushes and night sweats3, around half will present genitourinary symptoms, such as dysuria, vaginal dryness, urgency, itching and burning3,4; other common symptoms are loss of libido, depression, hair loss, joint pain; decreased bone mass density, muscle mass, and strength4. Reduced muscle mass is linked to the lack of Estradiol hormone, which role is to regulate menstrual cycle, also, it promotes muscle regeneration by stimulating the proliferative activity of the muscle cells5; subsequently, lean mass is replaced by fat increasing body weight, resulting in obesity6. Also, the reduced estrogen production correlates with an increase in proinflammatory cytokines leading to increased levels of oxidative stress which increases catabolism, thus leading muscle loss7. To relieve menopause symptoms hormone replacement therapy (HRT) is prescribed, conventional treatment includes an estrogen and progesterone component to mimic hormones synthetized by the human ovary8. Effectiveness of HRT to prevent muscle mass is still under debate, some works had reported greater retention of muscle levels or even enhanced muscle function9–11; while other had not showed any difference after prescribing HRT in postmenopausal women12,13. Also, HRT aids in preventing bone depletion, by reducing the resorptive activity and averting both increased osteoclast recruitment and delayed apoptosis14,15. Therefore, the objective of this work was to assess the relationship between skeletal muscle mass and bone mineral density in postmenopausal women using hormone replacement therapy.
2. Materials and Methods
2.1. Study Design and Clinical Stetting
Study design: cross-sectional study. Three trained researchers performed a systematic assessment of clinical charts from postmenopausal women using hormone replacement therapy who attended an outpatient rheumatology consultation therapeutic university Centre from 1 January 2017 to 31 December 2018. This study was performed from January 2024 to August 2024.
2.2. Inclusion and Exclusion Criteria
Patients included in this study were postmenopausal women, aged ≥ 40 years old, who voluntary signed an informed consent form. Patients were excluded if they had a body weight ≥ 150 kg. Also, they were excluded if they reported using on the following drugs 1 month previously to the study: antiresorptive drugs (bisphosphonates, denosumab and/or parathormone), calcium channel blockers, statins, and/or glucocorticoids (oral or injected). Lastly, patients who reported any of the following diseases were also excluded: Diagnosed chronic kidney disease, cancer, tuberculosis, hyperthyroidism or hypothyroidism, Cushing syndrome, hyperparathyroidism, and/or malabsorption syndrome.
2.3. Ethics
This study was approved by the following committees: Ethics in Research committee (CEI-CUCS) and Committee of Research (CI-CUCS) at the University Centre of Health Sciences (CUCS), University of Guadalajara, approval code CI-05623 (Approved 11 September 2023). This research protocol followed the Ethical Principles for Medical Research Involving Human Subjects described in the Helsinki Declaration.
2.4. Study Development
Sociodemographic and clinical data were ascertained by three trained researcher who interviewed the patients who attended their clinical consultation. Information recollected was classified as:
- (a)
Sociodemographic variables: gender, age, body mass index, alcohol consumption, smoking, exercising habits, academic education. etc.
- (b)
Comorbid diseases: hypertension, diabetes mellitus type 2, obesity, other comorbid diseases.
- (c)
Pharmacological treatment: any drug chronically used by the patient (≥ 90 days), use of hormone replacement therapy (HRT).
All patients were assessed by Dual X-ray absorptiometry (DXA) by trained researcher to measure bone mineral density (BMD) and muscle mass (MM). To assess and compare the effect of HRT in BDM and MM, two groups were conformed: A) if patients were using HRT, and B) if patients did not use HRT in the last 90 days.
2.5. Statistical Analysis
To assess the relation between the use of HRT and skeletal muscle mass, we classified patients with low BMD as osteopenia (Z score between -2 to -3 SD) or osteoporosis (Z score < -3 SD). Independent Student’s t-tests were used for comparisons of quantitative variables between groups; chi-square tests (or Fischer exact tests if required) were used for comparisons of proportions between groups. Correlation between quantitative variables was calculated using Spearman test. Univariate and multivariate regression models were used to assess potential predictors for low muscle mass and low bone mineral density respectively. The significance level was set at p ≤ 0.05. The analyses were performed using the statistical software SPPS Statistics Version 24.
3. Results
A total of 248 females were assessed for this study, the mean age was 58.8 ± 7.4 years old, with a body mass index (BMI) of 27.8 ± 5.6. Less than half of these patients (42.3%) performed some kind of aerobic physical activity. The most common comorbidity observed were Hypertension (32.2%), Dyslipidemia (27.3%) and Diabetes Mellitus (18.7%). From these patients, 130 (53.0%) were using hormone replacement therapy, which in comparison to patients who did not receive hormone replacement therapy, had fewer years since their menopause and a higher proportion of patients using alcohol (
Table 1).
Table 2 shows the correlation between muscle mass and bone mineral density (BMD); regarding muscle mass there was a strong positive correlation between body mass index (r=0.617, p<0.001) and a moderate positive correlation between BMD spine (r=0.360, p<0.001). Regarding BMD, we found statistical significance in its correlation with BMI (r=0.323, p<0.001), age (r=-0.288, p<0.001) and menopause length (r=-0.194, p=0.002).
Bone mineral density assessment
In table 3 is shown the comparison between patients who had low BMD vs patients with BMD by a central DXA. Patients who have low BMD were older, with lengthier menopause; additionally, they have lower BMI and lower muscle mass. Hormone replacement therapy did not show any effect on having low BMD (
Table 3).
Table 4 shows a linear regression model where the dependent variable was BMD spine, variables entered in the moder as cofounder were: BMI, menopause length, age, presence of comorbidities, use of hormone replacement therapy, aerobic physical activity, and muscle mass. In the unadjusted model both BMI (ẞ =0.013, 95% CI= 0.006, 0.019, p<0.001) and age (ẞ = -0.006, 95% CI= -0.011, -0.001, p=0.045) influence BMD spine. After adjusting for menopause, comorbidities, hormone replacement therapy, aerobic physical activity and muscle mass, still both BMI (ẞ =0.015, 95% CI= 0.010, 0.019, p<0.001) and age (ẞ = -0.006, 95% CI= -0.006, -0.002, p=0.002) influence BMD spine.
Table 5 shows a linear regression model where the dependent variable was muscle mass, variables entered in the moder as cofounder were: BMI, menopause length, age, presence of comorbidities, use of hormone replacement therapy, aerobic physical activity, and BMD spine. In the unadjusted model both BMI (ẞ =0.516, 95% CI= 0.416, 0.617, p<0.001) and age (ẞ = -0.128, 95% CI= -0.233, -0.024, p=0.016) influence muscle mass. After adjusting for menopause, comorbidities, hormone replacement therapy, aerobic physical activity, and BMD spine, still both BMI (ẞ =0.516, 95% CI= 0.416, 0.617, p<0.001) and age (ẞ = -0.081, 95% CI= -0.155, -0.006, p=0.034) influence muscle mass.
4. Discussion
In this study we assessed the effect of using hormone replacement therapy (HRT) on muscle mass and bone mineral density in postmenopausal women. We did not observe any statistical relationship between them. Body mass index showed an additive effect on both BMD and muscle mass; whereas, an increasing in age reduced both variables.
In our sample, approximately half of the patients (52.4%) were receiving HRT, in our bivariate analysis its use did not show any significant statistical difference on muscle mass or BMD, neither did show any effect on a linear regression model. In a systematic review made by Javed A et al concluded that HRT had no beneficial or detrimental association with muscle mass16. Another systematic review by Yang X et al described that HRT did not show an effect in muscle mass17. However, Kim S and Kim R evaluated the effect of HRT in Korean women diagnosed with sarcopenia, observing that its prolonged use was associated with high muscle mass18. Another research by Sipilä S et al. compared the effect of exercise, HRT, exercise + HRT and a placebo in muscle mass on postmenopausal women, observing that the group using HRT improved muscle mass, although they benefit more while also doing high-impact physical training19. Therefore, the use of HRT to reduce muscle loss seems to be undefined yet.
Regarding BMD spine, in our study HRT did not show any effect on it, neither in bivariate analysis nor multivariate analysis. In a clinical trial by Zuo H et al, they followed Chinese women taking menopausal hormone therapy, finding that its use reduced bone turnover rate20. In a study by Sheedy A et al, compared the changes in bone turnover in women taking HRT and women who discontinued HRT in a period of 5 years, finding that those patients who discontinued the use of HRT had a decreased bone density while patients who kept using it maintained theirs levels21. Another study supporting these findings was realized by Cheng S et al, where they followed-up postmenopausal women using HRT for 1 year, where they found that the use of HRT maintained the levels of BMD22 .
Strengths and Limitations
The present study focuses on the assessment of postmenopausal women and the relation of HRT with muscle mass and bone mineral density. Here we present a linear regression model for each variable taking into account common variables such as body mass index, presence of comorbidities and if they practiced aerobic physical activity. Also, none of the women analyzed in our sample were diagnosed with sarcopenia, therefore, our study shows the effect of HRT before a common condition in postmenopausal women start appearing. However, one of the main limitations in our study was the lack of follow-up, which make us unable to observe the effects at long term of the use of HRT.
5. Conclusions
The use of Hormone replacement therapy does not have a relation with the levels of muscle mass neither bone mineral density in postmenopausal women. Further studies are needed to help us establish the relationship between the use of hormone replacement therapy and its effect on skeletal muscle mass and bone mineral density. Physicians treating these patients should consider other options.
Author Contributions
Conceptualization, J.I.G.-N., C.A.N.-V, A.M.S.-C and M.F.A.-L; methodology, . R.A.-C, C.A.N.-V, E.E.G.-R and L.G.-L; software, F.A.A.-S., J.A.G.-A, N.A.R.-J and L.G.-L; validation, R.A.-C, F.G.-P, E.E.G.-R and L.G.-L; formal analysis, R.A.-C, N.A.R.-J, E.G.C.-M and J.M.P.-G; investigation, F.A.A.-S., F.G.-P, E.G.C.-M and J.M.P.-G; resources, S.A.G.-V, J.A.G.-A, E.E.G.-R and J.M.P.-G; data curation, F.A.A.-S, J.A.G.-A, M.R.-V, E.G.C.-M; writing—original draft preparation, F.A.A.-S, N.A.R.-J; writing—review and editing, S.A.G.-V, M.R.-V and M.F.A.-L; visualization, S.A.G.-V, E.J.R.-L, A.M.S.-C, S.E.T.-S; supervision, J.I.G.-N, E.J.R.-L, A.M.S.-C, M.R.-V, S.E.T.-S; project administration, E.J.R.-L, C.A.N.-V, S.E.T.-S; funding acquisition, J.I.G.-N., F.G.-P and M.F.A.-L. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
This study was approved by the following committees: Ethics in Research committee (CEI-CUCS) and Committee of Research (CI-CUCS) at the University Centre of Health Sciences (CUCS), University of Guadalajara, approval code CI-05623 (Approved 11 September 2023). This research protocol followed the Ethical Principles for Medical Research Involving Human Subjects described in the Helsinki Declaration.
Informed Consent Statement
Patient consent was waived due to this study being retrospective based on the review of clinical charts. This study did not involve confidential information and any possible identifiers, such as name, address, code, etc., of the patients were removed from the database before the analysis and interpretation.
Data Availability Statement
The dataset supporting the conclusions presented in this article is available on request from the corresponding author on reasonable request.
Acknowledgments
The authors would like to thank the Members of the Research Group for Factors Related to Therapeutic Outcomes in Autoimmune Diseases. Members: Senior researchers: Gamez-Nava Jorge Ivan, Gonzalez-Lopez Laura, Leaders of the group, Departamento de Fisiología, Programa de Doctorado en Farmacología and Programa de Doctorado en Salud Publica Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Cardona-Muñoz Ernesto German, Centro Universitario de Ciencias de la Salud, Departamento de Fisiología, Universidad de Guadalajara. Associated Researchers: Research in Clinical and Laboratory Analysis: Avalos-Salgado Felipe Alexis, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Fajardo-Robledo Nicte Selene, Centro Universitario de Ciencias Exactas e Ingenierías, Laboratorio de Investigación y Desarrollo Farmacéutico, Universidad de Guadalajara; Saldaña-Cruz Ana Miriam, Rodriguez-Jimenez Norma Alejandra, Centro Universitario de Ciencias de la Salud, Departamento de Fisiología, Universidad de Guadalajara; Nava-Valdivia Cesar Arturo, Departamento de Microbiologia y Patologia, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Ponce-Guarneros Juan Manuel, Centro Universitario de Ciencias de la Salud, Departamento de Fisiología, Universidad de Guadalajara and Instituto Mexicano del Seguro Social, UMF 97, Guadalajara, Jalisco, Mexico; Alcaraz-Lopez Miriam Fabiola, Instituto Mexicano del Seguro Social, HGR 46, Guadalajara, Jalisco, Mexico. Statistical Team: Gamez-Nava Jorge Ivan, Departamento de Fisiología, Programa de Doctorado en Farmacología and Programa de Doctorado en Salud Publica Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Alfredo Celis, Departamento de Salud Publica Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara. Research Fellows: Santiago-Garcia Aline Priscilla, Jacobo-Cuevas Heriberto, OlivasFlores Eva, Gonzalez-Ponce Fabiola. Centro Universitario de Ciencias de la Salud, Programa de Doctorado en Farmacología, Universidad de Guadalajara.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Comparison of sociodemographic characteristics.
Table 1.
Comparison of sociodemographic characteristics.
| Variable |
Total n = 248 (%) |
Use of Hormone replacement therapy n = 130 (%) |
Without Hormone replacement therapy n = 118 (%) |
p |
| Age, mean ± SD |
58.8 ± 7.4 |
58.0 ± 6.1 |
59.7 ± 8.6 |
0.07 |
| BMI. mean ± SD |
27.8 ± 5.6 |
28.1 ± 5.4 |
27.5 ± 5.9 |
0.3 |
| Menopause (years), mean ± SD |
11.2 ± 7.9 |
9.9 ± 7.0 |
12.7 ± 8.6 |
0.006 |
| Aerobic Physical activity*, n (%) |
105 (42.3) |
49 (37.4) |
56 (47.9) |
0.09 |
| Alcoholism, n (%) |
77 (31.4) |
50 (38.2) |
27 (23.5) |
0.013 |
| Smoking habit, n (%) |
81 (33.0) |
49 (37.4) |
32 (27.4) |
0.09 |
| Hypertension, n (%) |
79 (32.2) |
45 (34.4) |
34 (29.1) |
0.3 |
| Dyslipidemia, n (%) |
67 (27.3) |
38 (29.2) |
29 (24.8) |
0.4 |
| Diabetes Mellitus, n (%) |
46 (18.7) |
21 (16.0) |
25 (21.4) |
0.2 |
| Muscle mass (kg), mean ± SD |
40.7 ± 5.1 |
41.0 ± 5.2 |
40.4 ± 4.9 |
0.4 |
| Z-score for BMD, mean ± SD |
1.04 ± 0.16 |
1.05 ± 0.14 |
1.02 ± 0.18 |
0.1 |
Table 2.
Correlation between muscle mass and BMD.
Table 2.
Correlation between muscle mass and BMD.
| Variable |
Muscle mass |
BMD spine |
| r |
p |
r |
p |
| Muscle mass |
--- |
--- |
0.360 |
<0.001 |
| Age (years) |
-0.124 |
0.053 |
-0.288 |
<0.001 |
| Menopause length |
0.011 |
0.8 |
-0.194 |
0.002 |
| BMI |
0.617 |
<0.001 |
0.323 |
<0.001 |
| BMD spine |
0.360 |
<0.001 |
--- |
--- |
Table 3.
Comparison with low BMD.
Table 3.
Comparison with low BMD.
| Variable |
Low BMD n = 171 (%) |
Normal BMD n = 77 (%) |
p |
| Age, mean ± SD |
60.3 ± 7.0 |
55.3 ± 7.3 |
<0.001 |
| Menopause length (years), mean ± SD |
12.3 ± 7.9 |
8.8 ± 7.3 |
<0.001 |
| BMI, mean ± SD |
26.9 ± 5.1 |
29.9 ± 6.3 |
<0.001 |
| Physical activity, n (%) |
68 (39.8) |
37 (48.1) |
0.2 |
| Alcoholism, n (%) |
59 (34.5) |
18 (24.0) |
0.1 |
| Smoking habit, n (%) |
58 (33.9) |
23 (29.9) |
0.5 |
| Hypertension, n (%) |
55 (32.2) |
24 (31.2) |
0.8 |
| Dyslipidemia, n (%) |
50 (29.2) |
17 (22.4) |
0.2 |
| Diabetes Mellitus, n (%) |
33 (19.3) |
13 (16.9) |
0.6 |
| Hormone replacement therapy, n (%) |
91 (53.2) |
40 (51.9) |
0.8 |
| Low muscle mass, n (%) |
48 (28.1) |
41 (53.2) |
<0.001 |
Table 4.
Linear regression for BMD spine.
Table 4.
Linear regression for BMD spine.
| |
BMD spine |
| |
Unadjusted |
Adjusted |
| |
Enter Method |
Stepwise method |
| |
ẞ |
95% CI |
p-Value |
aẞ |
95% CI |
p-Value |
| Body mass index |
0.013 |
0.006, 0.019 |
<0.001 |
0.015 |
0.010, 0.019 |
<0.001 |
| Menopause (length) |
-0.001 |
-0.006, 0.004 |
0.7 |
--- |
--- |
--- |
| Age |
-0.006 |
-0.011, -0.000 |
0.045 |
-0.006 |
-0.010, -0.002 |
0.002 |
| Comorbidities |
0.024 |
-0.036, 0.084 |
0.4 |
--- |
--- |
--- |
| Hormone replacement therapy |
-0.014 |
-0.072, 0.043 |
0.6 |
--- |
--- |
--- |
| Aerobic physical activity |
0.002 |
-0.055, 0.060 |
0.9 |
--- |
--- |
--- |
| Muscle mass |
0.003 |
-0.004, 0.010 |
0.3 |
--- |
--- |
--- |
Table 5.
Linear regression for muscle mass.
Table 5.
Linear regression for muscle mass.
| |
Muscle Mass |
| |
Unadjusted |
Adjusted |
| |
Enter Method |
Stepwise method |
| |
ẞ |
95% CI |
p-Value |
a ẞ |
95% CI |
p-Value |
| Body mass index |
0.516 |
0.416, 0.617 |
<0.001 |
0.548 |
0.456, 0.640 |
<0.001 |
| Menopause (length) |
0.071 |
-0.021, 0.162 |
0.132 |
--- |
--- |
--- |
| Age |
-0.128 |
-0.233, -0.024 |
0.016 |
-0.081 |
-0.155, -0.006 |
0.034 |
| Comorbidities |
0.072 |
-1.059, 1.203 |
0.9 |
--- |
--- |
--- |
| Hormone replacement therapy |
0.034 |
-1.045, 1.113 |
0.9 |
--- |
--- |
--- |
| Aerobic physical activity |
-0.480 |
-1.563, 0.603 |
0.3 |
--- |
--- |
--- |
| Bone mineral density spine |
1.212 |
-1.263, 3.688 |
0.3 |
--- |
--- |
--- |
|
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