Ontology highlight
ABSTRACT: Background
Previous research has classified sleep-disordered breathing (SDB) into various symptom phenotypes. The cardiovascular risks associated with SDB differ by gender, age, and subtype, with uncertainty about the mediating role of metabolic syndrome in these risks. This study has three primary objectives: (1) to analyze the correlation between SDB and MetS risk across gender-age groups and symptom subtypes, (2) to identify the nocturnal hypoxia parameter most indicative of this relationship, and (3) to evaluate the link between sleep parameters (insomnia, daytime sleepiness, snoring, and sleep duration) and MetS. Combining these parameters into a sleep quality score may improve predictions of health outcomes.Methods
Participants underwent type IV sleep monitoring and c
SUBMITTER: Feng T
PROVIDER: S-EPMC12301214 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature