Association between gynecological disorders and insomnia and depression trajectories: a longitudinal study of middle-aged women.

ABSTRACT:

Background

Insomnia and depression often receive inadequate attention regarding their association with common menopausal gynecological disorders (GDs), and there is a lack of longitudinal epidemiological evidence. Furthermore, the specific disorders that exhibit the strongest correlation with depression, as well as the potential mediating role of insomnia, remain poorly understood.

Methods

Using data from the Study of Women's Health Across the Nation (SWAN) spanning 1996 to 2008, this study analyzed a sample of 2217 racially diverse premenopausal women (aged 42 to 53 at baseline). Longitudinal trajectory analysis, employing latent class mixture models (LCMM), was used to identify optimal patterns for insomnia and depression. Logistic regression explored associations between

SUBMITTER: Zhong H 

PROVIDER: S-EPMC11747789 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature