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IC‐P‐154: Association between apolipoprotein a‐i levels and white matter hyperintensities depends on CSF tau levels in a high‐risk cohort of aging cognitively normal persons: The prevent‐alzheimer's disease study
Author(s) -
Pascoal Tharick Ali,
Dadar Mahsa,
Manitsirikul Sarinporn,
Breitner John C.S.,
Collins D. Louis,
Poirier Judes,
Labonté Anne,
Rosa-Neto Pedro
Publication year - 2015
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.2015.06.177
Subject(s) - quartile , hyperintensity , cerebrospinal fluid , medicine , apolipoprotein b , cohort , apolipoprotein e , alzheimer's disease , white matter , endocrinology , psychology , cardiology , disease , magnetic resonance imaging , confidence interval , cholesterol , radiology
Background: Greater psychological well-being has been associated with positive health markers such as lower cardiovascular risk and higher REM sleep duration. Purpose in Life is one sub-scale of a six-component scale that defines a larger construct of psychological well-being. Post-mortem studies suggest that greater Purpose in Life could be a protective factor for cognition. The objective of this study was to relate Purpose in Life to demographics, cognition, depression, and multi-modal imaging biomarkers in cognitively normal (CN) older individuals. Methods:Two hundred and fifty-four CN participants from the Harvard Aging Brain Study underwent baseline measurements of hippocampal volume (HV) adjusted for intracranial volume cerebral using magnetic resonance imaging (MRI), 18F-fluorodeoxyglucose (FDG) metabolism in an aggregate of AD-related regions using positron emission tomography (PET), cortical amyloid burden using Pittsburgh compound B (PiB) PET, white matter hyperintensity (WMH) volume using MRI, and clinical assessments including the Purpose in Life scale and Geriatric Depression Scale (GDS). Multiple linear regression models with backward elimination were used to evaluate Purpose in Life as the dependent variable. For the first model, predictors included age, Hollingshead score (a measure of socioeconomic status), total GDS score, and cognitive factor scores (memory, executive function, processing speed). For the second model, predictors included age, Hollingshead, FDG aggregate, HV, PiB retention, WMH, PiB x FDG Interaction, and PiB x HV Interaction. Results:In the first model, fewer depressive symptoms (GDS) (p<0.0001), younger age (p1⁄40.003), and better socioeconomic status (Hollingshead) (p1⁄40.001) were associated with greater Purpose in Life (R1⁄40.29, p<0.0001 for the overall model). The cognitive factor scores were not retained in the model. In the second model, greater FDG metabolism (p1⁄40.008), younger age (p1⁄40.03), and better socioeconomic status (p<0.0001) were associated with greater Purpose in Life (R1⁄40.12, p<0.0001 for the overall model). Other imaging biomarkers and interactions were not retained in themodel.Conclusions:Our findings support a relationship between fewer depressive symptoms and greater Purpose in Life. Moreover, the association of Purpose in Life with greater FDG metabolism, a marker of brain reserve, suggests that Purpose in Life may be an indicator of both better mental health and brain function.