Association between sleep duration and metabolic syndrome: linear and nonlinear Mendelian randomization analyses.

ABSTRACT:

Background

Observational studies have found that both short and long sleep duration are associated with increased risk of metabolic syndrome (MetS). This study aimed to examine the associations of genetically determined sleep durations with MetS and its five components (i.e., central obesity, high blood pressure, dyslipidemia, hypertriglyceridemia, and hyperglycemia) among a group of elderly population.

Methods

In 335,727 participants of White British from the UK Biobank, linear Mendelian randomization (MR) methods were first employed to examine the causal association of genetically predicted continuous sleep duration with MetS and its each component. Nonlinear MR analyses were performed to determine the nonlinearity of these associations. The causal associations of short an

SUBMITTER: Liang YY 

PROVIDER: S-EPMC9903442 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature