Ontology highlight
ABSTRACT: Backgrounds
Sleep disturbances are prevalent among elderly individuals. While polysomnography (PSG) serves as the gold standard for sleep monitoring, its extensive setup and data analysis procedures impose significant costs and time constraints, thereby restricting the long-term application within the general public. Our laboratory introduced an innovative biomarker, utilizing artificial intelligence algorithms applied to PSG data to estimate brain age (BA), a metric validated in cohorts with cognitive impairments. Nevertheless, the potential of exercise, which has been a recognized means of enhancing sleep quality in middle-aged and older adults to reduce BA, remains undetermined.Methods
We conducted an exploratory study to evaluate whether 12 weeks of moderate-intensity e
SUBMITTER: Ouyang A
PROVIDER: S-EPMC11278044 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature