Sleep quality and related predictors among women in the first trimester of pregnancy: A latent profile analysis
Siqi Liu,
Yingyao Tan,
Shu Cai
et al.
Abstract:Background: This study identifies latent profiles of sleep in the first trimester of pregnancy using a person-centered method, and investigate the predictive role of demographics, perinatal features, physical activity, depression, and social capital across profiles.
Methods: A total number of 1,066 pregnant women in Shenzhen were invited to participate in this study. Latent profile analysis (LPA) was used to identify sleep profiles. Regression Mixture Modeling (RMM) was used to explore the predictive role of d… Show more
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