Association of sociodemographic and reproductive variables with menopause-specific quality of life using principal component analysis
- 24 July 2018
- journal article
- research article
- Published by Taylor & Francis Ltd in Women & Health
- Vol. 59 (2), 155-170
- https://doi.org/10.1080/03630242.2018.1449775
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.Keywords
Funding Information
- University of Calcutta (BI 65, 2012)
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