Age- and gender-related characteristics of XXXX .

@entity1 @entity101 @entity28 @entity27 @entity25
PURPOSE: The present study attempted to characterize the phenotype of @entity1 and @entity1 of different ages with a laboratory diagnosis of @entity27 ( @entity27 ) using demographic, subjective complaints and medical history and to determine the best fitting @entity27 index (AHI) cutoff point for @entity27 diagnosis in each group. METHODS: Data collected from 23,806 @entity1 examined by a whole-night polysomnography were retrospectively analyzed. First, descriptive analysis was used to determine the gender-specific relationship between AHI and age, then binary logistic regression was used to determine the best fitting gender- and age-specific AHIs and the predictors of @entity27 in each age and gender group. RESULTS: Of the total number of @entity1 , 70.7% had AHI >10, and @entity1 had consistently higher AHI than @entity1 . @entity27 severity rose linearly with age in normal-weight and @entity28 @entity1 and in normal-weight @entity1 . The best fitting AHI cutoff point increased with age in both genders. @entity28 and snoring were significant predictors of @entity27 in all age by gender groups, while @entity101 and excessive @entity25 were common to all @entity1 and the two older @entity1 groups. Insomnia-related complaints were negative predictors of @entity27 ( @entity27 ) in some of the groups. CONCLUSIONS: @entity27 severity varies with age in both genders, while @entity1 have less severe syndrome in all ages. @entity28 , snoring, @entity101 , and excessive @entity25 are @entity27 predictors in both genders, while insomnia-related complaints are negative predictors.
