BMC Public Health
December 2024
Bioengineering (Basel)
February 2024
Sleep disorders, prevalent in the general population, present significant health challenges. The current diagnostic approach, based on a manual analysis of overnight polysomnograms (PSGs), is costly and time-consuming. Artificial intelligence has emerged as a promising tool in this context, offering a more accessible and personalized approach to diagnosis, particularly beneficial for under-served populations.
View Article and Find Full Text PDFBackground: Post stroke sleep duration could increase the risk of death. This study tested the hypothesis that inadequate sleep duration is associated with increased mortality among stroke survivors.
Methods: The REasons for Geographic And Racial Differences in Stroke (REGARDS), a national population-based longitudinal study, was the data source.
Background: Gastroesophageal reflux disease (GERD) is a well-recognized cause of impaired sleep in patients with frequent GERD symptoms, as well as those with sleep apnea. GERD's role in sleep disturbance of minimally symptomatic patients with poor sleep quality is less clear.
Aim: We aimed to define the prevalence of GERD-related sleep disturbance in minimally-symptomatic subjects with demonstrated insomnia, and to assess the changes in sleep efficiency in these subjects after vigorous acid suppression.
Background: The prevalence and nature of sleep disorders in primary care has not been widely studied. As part of a survey conducted in 5 family practice offices in North Carolina, we screened adult patients for sleep syndromes and sought to ascertain which demographic status and health status were associated with these disorders.
Methods: We approached 2963 consecutive adults who presented for office visits to the 5 study practices.