Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study.

ABSTRACT:

Background

Metabolic Syndrome (MetS) is a common health problem among older adults. Previous studies have revealed the relationship between sleep duration as well as global sleep status and MetS.

Objectives

This study aims to examine the association between the specific sleep characteristic and MetS as well as MetS components among community-dwelling old adults.

Methods

This cross-sectional study included 1499 community residents aged ≥ 60 years. Sleep characteristics were assessed using the Pittsburgh Sleep Quality Index (PSQI) and bed/rise time of the residents. Logistic regression analysis and multiple linear regression analysis were used to examine the associations between sleep characteristics and MetS as well as MetS components. A generalized additive model was

SUBMITTER: Liu X 

PROVIDER: S-EPMC9097235 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature