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Modeling the risk factors of women with very severe menopausal symptoms. | LitMetric

Modeling the risk factors of women with very severe menopausal symptoms.

J Obstet Gynaecol Res

Department of Nursing, Faculty of Health Sciences, Biruni University, Istanbul, Türkiye.

Published: April 2023

AI Article Synopsis

Article Abstract

Aim: Individual differences and sociodemographic, gynecological, and cultural characteristics affect the severity of menopausal symptoms. This study aimed to reveal the severity of menopausal symptoms experienced by Turkish women and the risk factors that cause women to experience very severe menopausal symptoms.

Methods: This cross-sectional and descriptive study was conducted with 435 women in menopause. The Personal Information Form and the Menopause Rating Scale were used to collect data. In logistic regression analysis, backward stepwise Wald binary logistic regression method was used. In the logistic regression analysis, there were 30 independent variables. The dependent variable was determined as the total MRS score.

Results: The mean score of the somatic symptoms sub-dimension was 3.14 ± 2.12, the mean score of the psychological symptoms sub-dimension was 10.11 ± 5.66, and the mean score of the urogenital symptoms sub-dimension was 3.58 ± 2.90. The total mean score of the Menopause Rating Scale was 16.83 ± 9.31. Menopausal age between 44 and 50 years old (OR = 10.681), having a chronic illness (OR = 6.432), having more than 5 pregnancies (OR = 5.372), and spouse's primary school or below education level (OR = 4.02) increase the severity of menopausal symptoms.

Conclusion: It is recommended that healthcare professionals evaluate the symptoms of women in the menopause period to provide them with psychological and social support and to help the spouse and family cooperate with women in menopause in compliance with the process.

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Source
http://dx.doi.org/10.1111/jog.15556DOI Listing

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