OBJECTIVE: To examine the epidemiology and key demographic and clinical correlates of patient-reported hypersomnia in persons with advanced age. DESIGN: Cross-sectional design. SETTING: Community. PARTICIPANTS: A total of 357 community-dwelling persons from the Yale Precipitating Events Project with a mean age of 84.2 years (range = 78-102 years). MEASUREMENTS: We studied patient-reported hypersomnia, defined categorically by an Epworth Sleepiness Scale (ESS) score of 10 or greater; as well as the severity of hypersomnia symptoms, defined continuously by an ESS score range of 0 to 24 (higher scores denote greater sleepiness). In multivariable regression models, we examined cross-sectional associations between key correlates and ESS score, expressed as categorical and continuous variables. Key correlates included: demographics, education, smoking status, body mass index, self-reported medical conditions, Center for Epidemiologic Studies Depression score, Mini-Mental State Examination score, Physical Activity Scale for the Elderly, restless legs syndrome (RLS), self-reported sleep-disordered breathing (SDB), medications, and Insomnia Severity Index. RESULTS: Mean ESS score for all participants was 6.4. Patient-reported hypersomnia (ESS score ≥10) was established in 82 participants (23.0%)-their mean ESS score was 13.0. In multivariable models, male sex, nonwhite race, arthritis, depressive symptoms, low physical activity, RLS, SDB, central nervous system depressant medications, and insomnia severity were cross-sectionally associated with patient-reported hypersomnia (higher adjusted odds ratios, ranging from 1.93-2.86) and/or with the severity of hypersomnia symptoms (higher ESS scores, ranging from 0.11-2.86 points). CONCLUSION: Patient-reported hypersomnia was prevalent in a sample of community-dwelling persons with advanced age. In addition, based on cross-sectional associations with the ESS score, key demographic and clinical characteristics were identified that may inform screening strategies for hypersomnia in advanced age. J Am Geriatr Soc 67:2545-2552, 2019.
OBJECTIVE: To examine the epidemiology and key demographic and clinical correlates of patient-reported hypersomnia in persons with advanced age. DESIGN: Cross-sectional design. SETTING: Community. PARTICIPANTS: A total of 357 community-dwelling persons from the Yale Precipitating Events Project with a mean age of 84.2 years (range = 78-102 years). MEASUREMENTS: We studied patient-reported hypersomnia, defined categorically by an Epworth Sleepiness Scale (ESS) score of 10 or greater; as well as the severity of hypersomnia symptoms, defined continuously by an ESS score range of 0 to 24 (higher scores denote greater sleepiness). In multivariable regression models, we examined cross-sectional associations between key correlates and ESS score, expressed as categorical and continuous variables. Key correlates included: demographics, education, smoking status, body mass index, self-reported medical conditions, Center for Epidemiologic Studies Depression score, Mini-Mental State Examination score, Physical Activity Scale for the Elderly, restless legs syndrome (RLS), self-reported sleep-disordered breathing (SDB), medications, and Insomnia Severity Index. RESULTS: Mean ESS score for all participants was 6.4. Patient-reported hypersomnia (ESS score ≥10) was established in 82 participants (23.0%)-their mean ESS score was 13.0. In multivariable models, male sex, nonwhite race, arthritis, depressive symptoms, low physical activity, RLS, SDB, central nervous system depressant medications, and insomnia severity were cross-sectionally associated with patient-reported hypersomnia (higher adjusted odds ratios, ranging from 1.93-2.86) and/or with the severity of hypersomnia symptoms (higher ESS scores, ranging from 0.11-2.86 points). CONCLUSION:Patient-reported hypersomnia was prevalent in a sample of community-dwelling persons with advanced age. In addition, based on cross-sectional associations with the ESS score, key demographic and clinical characteristics were identified that may inform screening strategies for hypersomnia in advanced age. J Am Geriatr Soc 67:2545-2552, 2019.
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