Title | Modeling the Relationships Among Late-Life Body Mass Index, Cerebrovascular Disease, and Alzheimer's Disease Neuropathology in an Autopsy Sample of 1,421 Subjects from the National Alzheimer's Coordinating Center Data Set. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Alosco, ML, Duskin, J, Besser, LM, Martin, B, Chaisson, CE, Gunstad, J, Kowall, NW, McKee, AC, Stern, RA, Tripodis, Y |
Journal | J Alzheimers Dis |
Volume | 57 |
Issue | 3 |
Pagination | 953-968 |
Date Published | 2017 |
ISSN | 1875-8908 |
Keywords | Aged, Aged, 80 and over, Alzheimer Disease, Autopsy, Body Mass Index, Cerebrovascular Disorders, Datasets as Topic, Female, Humans, Male, National Institute on Aging (U.S.), Neuropathology, Neuropsychological Tests, Retrospective Studies, United States |
Abstract | The relationship between late-life body mass index (BMI) and Alzheimer's disease (AD) is poorly understood due to the lack of research in samples with autopsy-confirmed AD neuropathology (ADNP). The role of cerebrovascular disease (CVD) in the interplay between late-life BMI and ADNP is unclear. We conducted a retrospective longitudinal investigation and used joint modeling of linear mixed effects to investigate causal relationships among repeated antemortem BMI measurements, CVD (quantified neuropathologically), and ADNP in an autopsy sample of subjects across the AD clinical continuum. The sample included 1,421 subjects from the National Alzheimer's Coordinating Center's Uniform Data Set and Neuropathology Data Set with diagnoses of normal cognition (NC; n = 234), mild cognitive impairment (MCI; n = 201), or AD dementia (n = 986). ADNP was defined as moderate to frequent neuritic plaques and Braak stageIII-VI. Ischemic Injury Scale (IIS) operationalized CVD. Joint modeling examined relationships among BMI, IIS, and ADNP in the overall sample and stratified by initial visit Clinical Dementia Rating score. Subject-specific random intercept for BMI was the predictor for ADNP due to minimal BMI change (p = 0.3028). Analyses controlling for demographic variables and APOE ɛ4 showed lower late-life BMI predicted increased odds of ADNP in the overall sample (p |
DOI | 10.3233/JAD-161205 |
Alternate Journal | J. Alzheimers Dis. |
PubMed ID | 28304301 |
PubMed Central ID | PMC5526463 |
Grant List | P30 AG013854 / AG / NIA NIH HHS / United States P30 AG010124 / AG / NIA NIH HHS / United States P50 AG023501 / AG / NIA NIH HHS / United States P50 AG005142 / AG / NIA NIH HHS / United States P50 AG005131 / AG / NIA NIH HHS / United States P30 AG010133 / AG / NIA NIH HHS / United States P50 AG016574 / AG / NIA NIH HHS / United States P50 AG005146 / AG / NIA NIH HHS / United States P30 AG035982 / AG / NIA NIH HHS / United States P50 AG008702 / AG / NIA NIH HHS / United States U01 NS086659 / NS / NINDS NIH HHS / United States U01 AG016976 / AG / NIA NIH HHS / United States U01 NS093334 / NS / NINDS NIH HHS / United States P30 AG008051 / AG / NIA NIH HHS / United States P50 AG005681 / AG / NIA NIH HHS / United States P30 AG013846 / AG / NIA NIH HHS / United States P50 AG005136 / AG / NIA NIH HHS / United States P30 AG012300 / AG / NIA NIH HHS / United States P50 AG016573 / AG / NIA NIH HHS / United States P50 AG016570 / AG / NIA NIH HHS / United States P50 AG005134 / AG / NIA NIH HHS / United States P30 AG008017 / AG / NIA NIH HHS / United States P30 AG010161 / AG / NIA NIH HHS / United States P50 AG025688 / AG / NIA NIH HHS / United States P50 AG005133 / AG / NIA NIH HHS / United States P50 AG005138 / AG / NIA NIH HHS / United States R56 NS078337 / NS / NINDS NIH HHS / United States R01 NS078337 / NS / NINDS NIH HHS / United States P30 AG010129 / AG / NIA NIH HHS / United States P30 AG019610 / AG / NIA NIH HHS / United States P30 AG028383 / AG / NIA NIH HHS / United States F32 NS096803 / NS / NINDS NIH HHS / United States P50 AG033514 / AG / NIA NIH HHS / United States UL1 TR001430 / TR / NCATS NIH HHS / United States |