Identifying the different subtypes in menopausal symptoms among middle-aged women in China: a latent class analysis.

Abstract

Many studies have focused on the severity and prevalence of menopausal symptoms among middle-aged women, which are limited by heterogeneity and diversity of subtypes. Subtyping facilitates the adaptation to prevention and clinical intervention strategies that target women. To determine the existence of significant subgroups of women with similar menopausal symptoms, a person-centered approach was used to identify potential profiles of women during the menopausal transition. In addition, we aimed to examine the association between latent subtypes and individual factors. This cross-sectional study included 797 middle-aged women, aged 40 to 60 years, who were recruited from Shandong Province, China, between December 2017 and August 2018. We identified the subtypes in menopausal symptoms by performing a latent class analysis according to the self-reported Menopause Rating Scale and evaluated the robustness of our identified subtypes using a sensitivity analysis. Multinomial logistic regression was performed to explore the association between emergent latent subtypes and sociodemographic, clinical, and psychosocial characteristics. The mean age of participants was 49.83 ± 5.05 years. (1) Four potential classes were identified in middle-aged women: "severe symptoms" (14.9%), "dominant sleep-emotion symptoms" (31.4%), "physical/mental exhaustion symptoms" (32.5%), and "no symptoms" (21.2%). The four classes were also verified using a sensitivity analysis according to age and menopause status subgroups, which revealed the robust subtypes of menopausal symptoms. (2) The odds ratio of neuroticism, chronic diseases, and gynecological diseases were significantly higher for the "severe symptoms," "dominant sleep-emotion symptoms," and "physical/mental exhaustion symptoms" classes, compared to the "no symptoms" class, while the odds ratio of mindfulness and social support were lower. A person-centered approach for middle-aged women could address the unmet need to understand the heterogeneity of menopausal symptoms. Subtyping facilitates the identification of the potential causes of menopausal symptoms and the development of personalized interventions.