Sleep health | 2021

Cognition and 20-year subsequent sleep disturbances.

 
 
 
 
 

Abstract


INTRODUCTION\nThere is a paucity of data exploring the extent that preclinical cognitive changes are predictive of subsequent sleep outcomes.\n\n\nMETHODS\nLogistic regression models were used to evaluate data from a cohort of 196 African American adults who had measures of cognitive function assessed at 2 time points during a 20-year period across the mid- to late-life transition. Cognitive testing included the Delayed Word Recall, the Digit Symbol Substitution, and the Word Fluency tests, which were summarized as a composite cognitive z-score. Sleep apnea was measured by in-home sleep apnea testing and sleep duration and quality were derived from 7-day wrist actigraphy at the end of the study period.\n\n\nRESULTS\nA one standard deviation (SD) lower composite cognitive z-score at baseline was significantly associated with greater odds of low sleep efficiency (<85%) (odds ratio [OR]\xa0=\xa01.85, 95% confidence interval [CI]\xa0=\xa01.13, 3.04) and greater odds of increased wakefulness after sleep onset time (WASO; >60 minutes) (OR\xa0=\xa01.65, 95% CI\xa0=\xa01.05, 2.60) in adjusted models. A one SD faster rate of cognitive decline over the study period was significantly associated with greater odds of low sleep efficiency (OR\xa0=\xa01.68, 95% CI\xa0=\xa01.04, 2.73), greater odds of sleep fragmentation (>35%); (OR\xa0=\xa01.73, 95% CI\xa0=\xa01.05, 2.85), and greater odds of increased WASO (OR\xa0=\xa01.85, 95% CI\xa0=\xa01.15, 2.95) in adjusted models. Neither baseline cognitive z-score nor rate of cognitive decline was associated with sleep apnea or the total average sleep duration.\n\n\nCONCLUSION\nCognition at baseline and change over time predicts sleep quality and may reflect common neural mechanisms and vulnerabilities.

Volume None
Pages None
DOI 10.1016/j.sleh.2021.01.008
Language English
Journal Sleep health

Full Text