Association of muscle disorders in late postmenopausal women according to the type of experienced menopause.

OBJECTIVE: Musculoskeletal disorders frequently affect postmenopausal women. This study aims to compare muscle disorders between women according to the type of experienced menopause: premature (PM) or normal age of menopause (NAM). METHODS: This was a cross-sectional study conducted in nine Latin American countries in which late postmenopausal women (55 to 70 years) were surveyed with a general questionnaire, the Menopause Rating Scale (MRS: item #4 exploring musculoskeletal discomfort), and strength, assistance with walking, rising from a chair, climbing stairs, and falling questionnaire (risk of sarcopenia). RESULTS: A total of 644 women were included: 468 who had NAM, and 176 who had PM (116 spontaneous and 60 surgical). The overall mean age of the participants was 60.9 ± 4.2 years. Women who had PM experienced more musculoskeletal discomfort (33.5% vs 20.9%, P < 0.001) and a higher likelihood of sarcopenia (35.2% vs 19.9%, P < 0.001) than women who had a NAM. Women who had surgical PM exhibited a higher prevalence of severe musculoskeletal discomfort (46.7% vs 29.3%, P < 0.02) and a higher likelihood of sarcopenia (45.0% vs 27.6%, P < 0.02) than women who had a NAM. After adjusting for covariates (age, body mass index, menopausal hormone therapy use, physical activity, education, cigarette consumption, use of antidepressants, sexual activity, comorbidities, and having a partner), our logistic regression model determined that spontaneous PM was not associated with higher odds of musculoskeletal discomfort and higher odds of sarcopenia. On the other hand, women who had surgical PM were more likely to experience musculoskeletal discomforts (odds ratio: 2.26; 95% confidence interval: 1.22-4.17) and higher odds for sarcopenia (odds ratio: 2.05; 95% confidence interval: 1.16-3.65) as compared to women who experienced a NAM. CONCLUSIONS: Women experiencing surgical PM have a higher likelihood of developing muscle disorders. This underscores the potential significance of hormonal levels in influencing musculoskeletal health during postmenopause.

Anxiety but not menopausal status influences the risk of long-COVID-19 syndrome in women living in Latin America.

OBJECTIVE: To study sociodemographic and clinical factors associated with the long-COVID-19 syndrome among women living in Latin American countries using undirected and directed methods. METHOD: We studied 347 patients with COVID-19 (confirmed by polymerase chain reaction) living in nine Latin American countries between May 2021 and July 2022, including 70 premenopausal, 48 perimenopausal, and 229 postmenopausal women. We compared the sociodemographic and general health information of women with (n = 164) and without (n = 183) the long-COVID-19 syndrome. They also completed the Connor-Davidson Resilience Scale, the Fear of COVID-19 Scale, the Jenkins Sleep Scale, and the Menopause Rating Scale to define the minimum set of variables for adjustment. We designed a directed acyclic graph (DAG) to identify factors related to the long-COVID-19 syndrome. Data were submitted to categorical logistic regression analyses. Results are reported as means and standard deviations or ß-coefficients and 95 % confidence intervals. RESULTS: Women with long-COVID-19 syndrome had a poor lifestyle, severe menopause symptoms, hypertension, insomnia, depression, anxiety, chronic diseases/conditions, risk of hospitalization, sleep disturbance, and low menopause-related quality of life compared to women without the syndrome. The DAG identified the following long-COVID-19 covariates: age, obesity, anxiety, depression, cancer, lifestyle, smoking, and menstrual status. A multivariable logistic model with these covariates indicated that anxiety is the only factor to be significantly associated with long-COVID-19 syndrome, whereas other covariates were confounding factors. There was no significant influence of menopausal status on the long-COVID-19 syndrome. CONCLUSION: Among factors selected by the DAG, only anxiety was significantly associated with the long-COVID-19. There was no significant influence of the menopause status on the long-COVID-19 syndrome in the studied population.

Post-COVID-19 syndrome in a sample of climacteric women living in Latin America.

OBJECTIVE: The aim of this study was to assess resilience, fear of COVID-19, sleep disorders, and menopause-related symptoms after the acute phase of COVID-19 in middle-aged women with positive reverse transcription-polymerase chain reaction and noninfected women. METHODS: This is a cross-sectional, analytical study of climacteric women from 9 Latin American countries, aged 40-64 years, attending a routine health checkup. We evaluated clinical characteristics and used the Connor-Davidson Resilience Scale, the Fear of COVID-19 Scale, the Jenkins Sleep Scale, and the Menopause Rating Scale to evaluate their health. RESULTS: A total of 1,238 women were studied, including 304 who were positive for COVID-19 reverse transcription-polymerase chain reaction. The median (interquartile range) age was 53 (12) years; years of studies, 16 (6); body mass index, 25.6 (5.1) kg/m 2 ; and time since first COVID-19 symptom, 8 (6) months. COVID-19 patients reported fatigability (18.8%), joint and muscular discomfort (14.1%), and anosmia (9.5%). They had a significantly lower resilience score (26.87 ± 8.94 vs 29.94 ± 6.65), higher Fear of COVID-19 score (17.55 ± 7.44 vs 15.61 ± 6.34), and a higher Jenkins Scale score (6.10 ± 5.70 vs 5.09 ± 5.32) compared with control women. A logistic regression model confirmed these results. There was not a significant difference in the total Menopause Rating Scale score, although the odds ratios for both severe menopausal symptoms (1.34; 95% confidence interval, 1.02-1.76) and the use of hypnotics were higher in women with COVID-19 (1.80; 95% confidence interval, 1.29-2.50) compared with those without infection. We found no decrease in studied outcomes between the initial 7 months versus those reported after 8 to 18 months since first COVID-19 symptoms. CONCLUSIONS: COVID-19 climacteric women have sleep disorders, lower resilience and higher fear of COVID-19.

Factors affecting climacteric women with SARS-CoV-2 infection: A multinational Latin America study (REDLINC XI).

OBJECTIVE: To evaluate the association between factors, especially those linked to the climacteric, and a history of COVID-19 infection. METHODS: This was an observational, cross-sectional, and analytical study in which women from ten Latin American countries, aged 40-64, who attended a routine health check-up were invited to participate. A positive history for COVID-19 was based on reverse transcription-polymerase chain reaction reports. We evaluated sociodemographic, clinical, lifestyle, anthropometric variables, and menopausal symptoms using the Menopause Rating Scale (MRS). RESULTS: A total of 1238 women were included for analysis, of whom 304 (24.6 %) had a positive history for COVID-19. The median [interquartile range: IQR] age of participants was 53 [IQR 12] years, duration of formal education was 16 [6] years, body mass index 25.6 [5.1] kg/m2, and total MRS score 10 [13]. In a logistic regression model, factors positively associated with COVID-19 included postmenopausal status and having a family history of dementia (OR: 1.53; 95 % CI: 1.13-2.07, and 2.40; 1.65-3.48, respectively), whereas negatively associated were use of menopausal hormone therapy (current or past), being a housewife, and being nulliparous (OR: 0.47; 95 % CI: 0.30-0.73; 0.72; 0.53-0.97 and 0.56; 0.34-0.92, respectively). Smoking, being sexually active, and use of hypnotics were also factors positively associated with COVID-19. CONCLUSION: Postmenopausal status and a family history of dementia were more frequent among women who had had COVID-19, and the infection was less frequent among current or past menopause hormone therapy users and in those with less physical contact.