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P1‐012: A Population‐Based Study on the Relation Between Sleep Disturbance and Beta‐Amyloid 42 in Cerebrospinal Fluid in 70‐Year‐Olds
Author(s) -
Skoog Johan,
Kern Silke,
Kern Jürgen,
Zetterberg Henrik,
Blennow Kaj,
Skoog Ingmar
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.759
Subject(s) - dementia , sleep disorder , cerebrospinal fluid , sleep (system call) , medicine , population , beta (programming language) , amyloid (mycology) , alzheimer's disease , disease , pathology , psychiatry , cognition , computer science , programming language , environmental health , operating system
risks were allowed to depend on age (5-year age groups), APOE-ε4, and early-life intellectual factors including educational attainment, academic performance in high school (first-year English, algebra, or geometry), and written language skills (idea density, grammatical complexity). Results: Each five-year increase in age was associated with a reduced chance of reversion to normal cognition, but this reached significance only for those 90-95 years (90-95 vs. 75-80 age groups: hazard ratio [HR]1⁄40.37; 95% confidence interval [CI]1⁄40.19-0.74). In transition models including age, APOE and education, APOE-ε4 carriers (1+ alleles) had a significantly lower chance of reversion than noncarriers (HR1⁄40.37; 95% CI1⁄40.22-0.62), whereas more highly educated participants had a significantly higher chance of reversion (Masters degree or higher vs. high school or lower: HR1⁄42.43; 95% CI1⁄41.13-5.20). Participants with higher academic performance in English (>1⁄490% vs <90%: HR1⁄41.58; 95% CI1⁄41.09-2.30) and higher idea density (Quartile [Q] 3-4 vs Q1-2: HR1⁄42.39; 95% CI1⁄41.39-4.10) or grammatical complexity (Q2-4 vs Q1: HR1⁄43.55; 95% CI1⁄41.08-11.69) had significantly higher chances of reversion in models adjusted for age, APOE and education. Conclusions:Although a diagnosis of mild cognitive impairment has been associated with an increased risk of progressing to dementia, indicators of cognitive resilience may predict reversion from this state to normal cognition. Predictors of these reverse transitions could inform strategies to prevent or postpone transitions to cognitive impairment and dementia.