Longitudinal associations between sleep quality and menopausal symptoms among community-dwelling climacteric women: A multi-centered study
Study objectives: Menopausal symptoms exist in most climacteric women, which can harm the quality and satisfaction of life for them. Moreover, a series of ineluctable negative life changes experienced in middle-age usually make the situation more complicated and stressful. We aimed to determine the...
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Main Authors: | , , , , , |
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Format: | Article |
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Elsevier
2022
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Online Access: | http://eprints.um.edu.my/41101/ |
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Summary: | Study objectives: Menopausal symptoms exist in most climacteric women, which can harm the quality and satisfaction of life for them. Moreover, a series of ineluctable negative life changes experienced in middle-age usually make the situation more complicated and stressful. We aimed to determine the trajectories and influential factors of sleep quality and menopausal symptoms and their longitudinal interrelationships among climacteric women.Methods: A total of 1875 community-dwelling climacteric women were included in this study. The Pittsburgh Sleep Quality Index (PSQI) and the Menopause Rating Scale (MRS) were adopted to assess sleep quality and menopausal symptoms, respectively. Data were collected 4 times from March 2019 to December 2019, at a 3-month interval.Results: The Cross-lagged analysis showed that worse sleep quality and more severe menopausal symptoms over time after controlling for specified covariates, and more severe menopausal symptoms were predicted by declined sleep quality. The Generalized estimation equation model showed that ed-ucation level, marital status, chronic diseases, life events, income, and age were the influential factors of sleep quality, while menopausal symptoms were impacted by marital status and income.Conclusions: Increasing negative sleep quality and more severe menopausal symptoms over time contribute to the health burden of climacteric women. Menopausal symptoms could be alleviated by sleep quality improvement, which is influenced by education level, marital status, chronic diseases, life events, age, and economic factors. (c) 2022 Elsevier B.V. All rights reserved. |
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