Kristen M George1, Rachel L Peterson1, Paola Gilsanz2, Dan M Mungas3, M Maria Glymour4, Elizabeth Rose Mayeda5, Rachel A Whitmer1,2. 1. Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA. 2. Kaiser Permanente Division of Research, Oakland, CA. 3. Department of Neurology, University of California Davis School of Medicine, Sacramento, CA. 4. Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA. 5. Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA.
Abstract
Background: We assessed cross-sectional differences in sleep quality and risk factors among Asian, Black, Latino, and White participants in the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) Study. Methods: KHANDLE enrolled community-dwelling adults aged ≥65 years living in northern California. Participants completed a modified Pittsburgh Sleep Quality Index to measure six sleep components and a global sleep score (scored 0-24). Covariates included age, sex, central adiposity, education, income, alcohol consumption, ever smoking, physical activity, and depression. Ordinal logistic regression was used to model sleep component scores across race/ethnic groups. Linear regression was used to assess racial/ethnic differences in global sleep score and the association between risk factors and global sleep score. Results: 1,664 participants with a mean age of 76 (SD=7) and mean global sleep score of 6 (SD=4) were analyzed. Using Latinos as reference (highest average sleep score), Blacks had an average .96 (.37, 1.54) unit higher global sleep score (worse sleep) while Asians [β: .04 (-.56, .63)] and Whites [β: .28 (-.29, .84)] did not significantly differ. Compared with Latinos, Blacks and Asians had greater odds of a worse score on the sleep duration component; Blacks and Whites had greater odds of a worse score on the sleep disturbances component; and, Whites had greater odds of a worse score on the medication component. Risk factors for poor sleep did not differ by race/ethnicity except alcohol consumption (interaction P=.04), which was associated with poor sleep in Blacks only. Conclusions: In this cohort, racial/ethnic differences in sleep quality were common.
Background: We assessed cross-sectional differences in sleep quality and risk factors among Asian, Black, Latino, and White participants in the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) Study. Methods: KHANDLE enrolled community-dwelling adults aged ≥65 years living in northern California. Participants completed a modified Pittsburgh Sleep Quality Index to measure six sleep components and a global sleep score (scored 0-24). Covariates included age, sex, central adiposity, education, income, alcohol consumption, ever smoking, physical activity, and depression. Ordinal logistic regression was used to model sleep component scores across race/ethnic groups. Linear regression was used to assess racial/ethnic differences in global sleep score and the association between risk factors and global sleep score. Results: 1,664 participants with a mean age of 76 (SD=7) and mean global sleep score of 6 (SD=4) were analyzed. Using Latinos as reference (highest average sleep score), Blacks had an average .96 (.37, 1.54) unit higher global sleep score (worse sleep) while Asians [β: .04 (-.56, .63)] and Whites [β: .28 (-.29, .84)] did not significantly differ. Compared with Latinos, Blacks and Asians had greater odds of a worse score on the sleep duration component; Blacks and Whites had greater odds of a worse score on the sleep disturbances component; and, Whites had greater odds of a worse score on the medication component. Risk factors for poor sleep did not differ by race/ethnicity except alcohol consumption (interaction P=.04), which was associated with poor sleep in Blacks only. Conclusions: In this cohort, racial/ethnic differences in sleep quality were common.
Authors: Michael A Grandner; Natasha J Williams; Kristen L Knutson; Dorothy Roberts; Girardin Jean-Louis Journal: Sleep Med Date: 2015-02-28 Impact factor: 3.492
Authors: Paul W H Brewster; Rebecca J Melrose; María J Marquine; Julene K Johnson; Anna Napoles; Anna MacKay-Brandt; Sarah Farias; Bruce Reed; Dan Mungas Journal: Neuropsychology Date: 2014-06-16 Impact factor: 3.295