Cardiovascular risks and sociodemographic correlates of multidimensional sleep phenotypes in two samples of US adults.

ABSTRACT:

Study objectives

Sleep is a modifiable risk factor for cardiovascular conditions. Holistic examination of within-person, multidimensional sleep patterns may offer more detailed information about the sleep-cardiovascular condition link, including who is more vulnerable to both. This study aimed to identify common sleep phenotypes in adulthood, establish the validity of the phenotypes in relation to cardiovascular conditions, and explore sociodemographic and background characteristics of the phenotypes.

Methods

Across two independent samples of adults (N ₁ = 4600; N ₂ = 2598) from the Midlife in the United States Study, latent class analysis (LCA) extracted sleep phenotypes using five key self-reported sleep dimensions. Log-binomial regressi

SUBMITTER: Lee S 

PROVIDER: S-EPMC8918427 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature