ABSTRACT
Objectives: The impact of the pandemic on sleeping problems in all age groups has been widely reported, but insomnia in post-menopausal women has been understudied worldwide. The study sought to determine the prevalence and associated factors for insomnia in post-menopausal women who were infected with COVID-19 in Bangladesh. Material and methods: A cross-sectional telephonic survey was conducted from August to December 2021 among post-menopausal women with a history of COVID-19 infection in Bangladesh. Data on socio-demographic factors, lifestyle and behavioral factors, COVID-19-associated factors, and self-reported pre-existing co-morbidities were collected. A validated scale Insomnia Severity Index (ISI) was applied to assess the level of insomnia . Bivariate and multiple linear regression analyses were performed to assess the associated factors with insomnia. Results: Of the total 900 participants, the prevalence of insomnia was reported at 70%, with 33.67% moderately severe, 25.11% subthreshold, and 11.22% severe insomnia. Participants with increased ISI scores were significantly more likely to be retired, had 2-4 children, felt disturbed by COVID-19 related news, hospitalized for COVID-19 management, receieved the first dose of vaccine, and experienced post COVID-19 symptoms such as fatigue, lack of concentration, and memory loss. On the other hand, living in a nuclear family and taking care of COVID-19-infected family members were significantly negatively associated with insomnia. Conclusions: Our findings indicate the need to safeguard the well-being considerations of post-menopausal women through a well-designed comprehensive social safety net program for the present pandemic and similar crises in the future.
ABSTRACT
Background: Peri- and post-menopausal women are vulnerable to suffer from mental health problems including depression, anxiety, and stress, which might have increased during the COVID-19 pandemic. Objective: To estimate the prevalence of depression and associated factors among peri- and post-menopausal women during the COVID-19 pandemic in Chandigarh. Materials and Methods: A community-based cross-sectional study was conducted among 200 urban peri- and post-menopausal women of age 40-60 years in Chandigarh, from May to June 2021. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7, and EuroQol-5D validated tools were used to screen depression, anxiety, and quality of life (QOL). Fear of COVID-19 scale was developed as part of this study was used to assess the fear related to COVID-19 infection. Data analysis was done using the Statistical Package for the Social Sciences (SPSS) software version 26.0. Binary multivariate logistic regression model was used to identify the predictors. Results: The prevalence of depression was 39% and anxiety 29.5% among peri-and post-menopausal women. The fear of COVID-19 infection (adjusted odds ratio [aOR] 8.43, confidence interval [CI]: 1.99-35.64; aOR 10.54, CI: 2.76-40.24) and sleeplessness (aOR 13.29, CI: 3.22-54.82) were the significant (P < 0.005) predictors of depression and anxiety, respectively. Fearful peri- and post-menopausal women (aOR 5.94, CI: 2.68-13.13) and widow status (aOR 7.08, CI: 1.10-45.28) were the significant (P < 0.005) predictors of poor QOL. Conclusions: The prevalence of depression was high among peri- and post-menopausal women during the COVID-19 pandemic. Fear of getting COVID-19 infection was significantly associated with depression, anxiety, and poor QOL.
ABSTRACT
This pilot study compared the effects of acute high-intensity intermittent exercise (HIIE) and moderate-intensity continuous exercise (MICE) on post-exercise VO2 , fat utilization, and 24-hours energy balance to understand the mechanism of higher fat mass reduction observed after high-intensity interval training in post-menopausal women with overweight/obesity. 12 fasted women (59.5 ± 5.8 years; BMI: 28.9 ± 3.9 kg·m-2 ) completed three isoenergetic cycling exercise sessions in a counterbalanced, randomized order: (a) MICE [35 minutes at 60%-65% of peak heart rate, HRmax ], (b) HIIE 1 [60 × (8-s cycling-12-s recovery) at 80%-90% of HRmax ], and (c) HIIE 2 [10 × 1min at 80%-90% of HRmax - 1-min recovery]. Then, VO2 and fat utilization measured at rest and during the 2 hours post-exercise, enjoyment, perceived exertion, and appetite recorded during the session and energy intake (EI) and energy expenditure (EE) assessed over the next 24 hours were compared for the three modalities. Overall, fat utilization increased after exercise. No modality effect or time-modality interaction was observed concerning VO2 and fat oxidation rate during the 2 hours post-exercise. The two exercise modalities did not induce specific EI and EE adaptations, but perceived appetite scores at 1 hour post-exercise were lower after HIIE 1 and HIIE 2 than MICE. Perceived exertion was higher during HIIE 1 and HIIE 2 than MICE, but enjoyment did not differ among modalities. The acute HIIE responses did not allow explaining the greater fat mass loss observed after regular high-intensity interval training in post-menopausal women with overweight/obesity. More studies are needed to understand the mechanisms involved in such adaptations.