Background: Despite having high prevalence of short sleep duration, poor sleep quality, and sleep disorders in adult Hispanics living in the US, there is limited understanding of the underlying barriers to sleep and effective interventions in these groups. This study aimed to increase understanding of sleep duration and attitudes toward sleep interventions among Hispanic adults.
Methods: We conducted 5 online focus group discussions with male and female participants aged 18-65 recruited from the Hispanic community who reported sleeping <7 hours per night.
Context: Sleep health is multidimensional. While studies have shown associations between certain sleep dimensions and health in type 1 diabetes (T1D), global sleep health has rarely been considered.
Objective: To examine the associations between individual sleep dimensions and multidimensional sleep health (MSH) on glycemic control and self-reported outcomes in T1D.
Study Objectives: To update sleep medicine providers regarding (1) published research on the uses and performance of novel sleep tracking and testing technologies (2) the use of artificial intelligence to acquire and process sleep data and (3) research trends and gaps regarding the development and/or evaluation of these technologies.
Methods: Medline and Embase electronic databases were searched for studies utilizing screening and diagnostic sleep technologies, published between 2020 and 2022 in journals focusing on human sleep. Studies' quality was determined based on the Study Design criteria of The Oxford Centre for Evidence-Based Medicine Levels of Evidence.