Associations between weather variables and sleep architecture: A large-scale analysis using consumer sleep data

Objectives This study investigated the impact of daily weather conditions on sleep architecture and assessed whether these effects vary according to the severity of suspected sleep-disordered breathing.Methods We analyzed 236,115 nights of home-based sleep data, collected over one year from 1,067 users of the SleepRoutine® mobile application in South Korea. Each night's data was paired with contemporaneous weather data from Seoul. Apnea-hypopnea index (AHI) values were classified on a nightly basis into low (Results Elevated temperature was associated with decreased sleep efficiency (SE), total sleep time (TST), and deep sleep ratio (all p Conclusions Temperature, humidity, and sunshine duration were significantly associated with sleep structure. These effects may be less pronounced in individuals with sleep-disordered breathing.