Abstract
ObjectiveMiddle-aged to older adults often exhibit the co-existence of poor sleep health and multimorbidity. We examined cross-sectional and prospective associations of pooled index of sleep health with prevalent and incident multimorbidity in the framework of an ongoing cohort study in Canada. MethodsData were from approximately 24,000 individuals from the Canadian Longitudinal Study on Aging (CLSA), an ongoing national study of community-dwelling adults aged 45 to 85 years at baseline. Multimorbidity was defined as two or more chronic conditions out of five major condition categories. Sleep variables included sleep duration, quality, initiation, maintenance, and excessive daytime sleepiness, which were combined into an index using pooled approaches. Weighted logistic regression models were computed for each index with additional age- and sex-stratified analyses. ResultsHigher sleep index scores, indicating poorer sleep health, were observed in females and younger age groups (ages 45-54 and 55-64). In cross-sectional analysis, the fully adjusted model showed that a 1-unit increase in pooled scores was significantly associated with 1.48 higher odds (95% CI = 1.38, 1.58; p<0.001) of prevalent multimorbidity at baseline. Similarly, the prospective analysis indicated significant changes in incident multimorbidity with pooled index scores in the fully adjusted model (OR = 1.33; 95% CI = 1.20, 1.48; p<0.001). ConclusionThe pooled sleep index introduced in this study may offer a novel, concise, and comprehensive approach to assessing sleep health among middle-aged and older adults. Those in these age groups experiencing poorer sleep health are at a greater risk of prevalent multimorbidity, as well as of developing multimorbidity over time.
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