气象变量与睡眠结构的关联：基于消费级睡眠数据的大规模分析

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.