Objectives
To determine the association between early midlife sleep and advanced brain aging patterns in late midlife.
Methods
Using the CARDIA study, we analyzed sleep data at baseline and 5 years later, focusing on short sleep duration, bad sleep quality (SQ), difficulty initiating and maintaining sleep (DIS and DMS), early morning awakening (EMA), and daytime sleepiness. These were categorized into 0–1, 2–3, and >3 poor sleep characteristics (PSC). Brain MRIs obtained 15 years later were used to determine brain age through a machine learning approach based on age-related atrophy
Results
This cohort study included 589 participants (mean age 40.4 ± 3.4 years, 53% women). At baseline, around 70% reported 0–1 PSC, 22% reported 2%–3%, and 8% reported >3 PSC. In multivariable linear regression analyses, participants with 2–3 or >3 PSC had 1.6-year (β = 1.61, 95% CI 0.28–2.93) and 2.6-year (β = 2.64, 95% CI 0.59–4.69) older brain age, respectively, compared with those with 0–1 PSC. Of the individual characteristics, bad SQ, DIS, DMS, and EMA were associated with greater brain age, especially when persistent over the 5-year follow-up.
Discussion
Poor sleep was associated with advanced brain age in midlife, highlighting the importance of investigating early sleep interventions for preserving brain health.
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