The effects of age, sex, ethnicity, and sleep-disordered XXXX .

@entity1 @entity25 @entity387 @entity1353
BACKGROUND: Polysomnography is used to assess sleep quality and to gauge the functional effect of @entity25 . Few population-based data are available to estimate the variation in sleep architecture across the population and the extent to which @entity387 ( @entity387 ), a common health condition, contributes to poor sleep independent of other factors. The objective of this study was to describe the population variability in sleep quality and to quantify the independent associations with @entity387 . METHODS: Cross-sectional analyses were performed on data from 2685 @entity1 , aged 37 to 92 years, in a community-based multicenter cohort study. Dependent measures included the percentage time in each sleep stage, the arousal index, and sleep efficiency. Independent measures were age, sex, ethnicity, comorbidity status, and the respiratory disturbance index. RESULTS: Lighter sleep was found in @entity1 relative to @entity1 and in American Indians and blacks relative to other ethnic groups. Increasing age was associated with @entity25 in @entity1 , with less consistent associations in @entity1 . Notably, @entity1 had, on average, 106% more slow wave sleep. @entity25 @entity1353 was associated with poorer sleep; however, these associations were generally smaller than associations with sex, ethnicity, and age. Current smokers had lighter sleep than ex-smokers or never smokers. Obesity had little effect on sleep. CONCLUSIONS: Sleep architecture varies with sex, age, ethnicity, and @entity387 . Individual assessment of the effect of @entity387 on sleep quality needs to account for other host characteristics. @entity1 , but not @entity1 , show evidence of poorer sleep with aging, suggesting important sex differences in sleep physiology.
