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使用主成分分析探讨社会人口学和生殖变量与绝经特定生活质量的关联。

Association of sociodemographic and reproductive variables with menopause-specific quality of life using principal component analysis.

作者信息

Som Nivedita, Roy Papiya, Ray Subha

机构信息

a Department of Anthropology , Vivekananda College for Women , Barisha , Kolkata , India.

b Department of Anthropology , Government General Degree College , Keshiary , Paschim Medinipur , India.

出版信息

Women Health. 2019 Feb;59(2):155-170. doi: 10.1080/03630242.2018.1449775. Epub 2018 Jul 24.

Abstract

We aimed to determine whether sociodemographic and reproductive variables jointly or independently were associated with menopause-specific quality of life (MENQOL). A total of 250 Bengali-speaking Hindu women (peri- and postmenopausal) were recruited from West Bengal, India. Data on MENQOL (vasomotor, physical, psychosocial, sexual, and quality-of-life domains), sociodemographic, and reproductive variables were collected. Principal component (PC) analysis was used to identify PCs for sociodemographic and/or reproductive variables: PC1 (sociodemographic), PC2 (sociodemographic and reproductive), PC3, and PC4 (reproductive). PC scores were used in multiple regression analyses to determine associations with MENQOL. For perimenopausal women, PC1 and PC3 were inversely associated with the sexual domain; PC2 was positively associated with vasomotor, sexual domain, and quality of life; and PC3 was positively associated with the physical domain. For postmenopausal women, PC1 and PC3 were inversely associated with the sexual and psychosocial domains, respectively; PC2 was positively associated with the sexual domain and quality of life; and PC4 was positively associated with the psychosocial domain. The factors associated with MENQOL PCs were similar for perimenopausal and postmenopausal women. Health planners should consider early and midlife factors associated with MENQOL to improve women's midlife health.

摘要

我们旨在确定社会人口统计学和生殖变量是联合还是独立地与绝经特异性生活质量(MENQOL)相关。总共从印度西孟加拉邦招募了250名讲孟加拉语的印度教绝经前后女性。收集了关于MENQOL(血管舒缩、身体、心理社会、性和生活质量领域)、社会人口统计学和生殖变量的数据。主成分(PC)分析用于确定社会人口统计学和/或生殖变量的主成分:PC1(社会人口统计学)、PC2(社会人口统计学和生殖)、PC3和PC4(生殖)。PC得分用于多元回归分析以确定与MENQOL的关联。对于围绝经期女性,PC1和PC3与性领域呈负相关;PC2与血管舒缩、性领域和生活质量呈正相关;PC3与身体领域呈正相关。对于绝经后女性,PC1和PC3分别与性和心理社会领域呈负相关;PC2与性领域和生活质量呈正相关;PC4与心理社会领域呈正相关。围绝经期和绝经后女性与MENQOL主成分相关的因素相似。健康规划者应考虑与MENQOL相关的早期和中年因素,以改善女性的中年健康。

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