This competing renewal application seeks to extend, for a further 5 years, the Monongahela-Youghiogheny Healthy Aging Team (MYHAT) project, a 10-year longitudinal study of a representative population-based cohort in an economically depressed small-town region near Pittsburgh, PA. MYHAT has thus far focused on characterizing MCI and identifying risk factors for progression from MCI to incident dementia, and identified considerable heterogeneity in risk relationships. Building on findings to date, our new aims are: (1) To identify risk /protective factors for dementia in those aged 90+ years, in whom incidence continues to rise but few risk factors have been found; (2) To identify vascular / inflammatory/ metabolic risk factors, particularly diabetes-related factors, for dementia in the cohort as a whole ; (3) To examine birth cohort effects in the incidence of dementia and cognitive decline, and determine whether they can be explained by secular trends in risk and protective factors; (4) To identify genes associated with cognitive decline endophenotypes using existing genome-wide genotype data and then confirming in a replication sample. We also propose an exploratory aim to extend amyloid and tau PET neuroimaging into a subgroup of 120 MYHAT participants, at no cost to this study, as part of an independent project. Here the scientific objective is to identify factors associated with cerebral amyloid and tau deposition and determine whether those variables predict dementia in the MYHAT cohort as a whole. The original MYHAT cohort (N~2,000) aged 65+ years at study entry is now aged 75+ and has 10 years of rich longitudinal data that are ideal for achieving our aims. About half the cohort has been lost to attrition, including illness and mortality, over the past 9 years. We will replenish te cohort by recruiting 700 new participants aged 65-74 who are able to contribute the maximum person-years of followup, and will also enhance our ability to investigate cohort effects. Our over-arching theme is to investigate the heterogeneity of MCI and dementia in the population at large, deconstructing the outcomes as well as the predictor variables to identify finer-grained relationships which will shed light on underlying disease mechanisms. This approach is consistent with the goals of translational epidemiology, going beyond simple description to identify risk and protective factors with clinical and public health significance, and the subgroup in which these factors operate; generate and test mechanistic hypotheses; and identify population trends with implications for policy and planning.

Public Health Relevance

A community-based cohort of over 2,000 adults aged 65+ years was assembled between 2006 and 2008. Participants were carefully assessed on their cognitive abilities and everyday functioning, and on several clinical and biological measures. By following them annually, we are able to determine their risk of developing Alzheimer's and other dementias, and identify factors which might increase or reduce these risks. The community-based information will complement studies conducted in highly specialized research clinics, and shed light on risk factors in the population at large. The knowledge generated will inform strategies for prevention of cognitive decline and dementia in older adults, and potentially influence planning and policy as well.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG023651-15
Application #
9894703
Study Section
Neurological, Aging and Musculoskeletal Epidemiology (NAME)
Program Officer
Anderson, Dallas
Project Start
2004-04-01
Project End
2021-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
15
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Psychiatry
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15260
Ganguli, Mary; Sun, Zhaowen; McDade, Eric et al. (2018) That's Inappropriate! Social Norms in an Older Population-based Cohort. Alzheimer Dis Assoc Disord 32:150-155
Beer, Joanne C; Snitz, Beth E; Chang, Chung-Chou H et al. (2018) Does a cognitive stress test predict progression from mild cognitive impairment to dementia equally well in clinical versus population-based settings? Int Psychogeriatr 30:1435-1445
Ganguli, Mary; Jia, Yichen; Hughes, Tiffany F et al. (2018) Mild Cognitive Impairment that Does Not Progress to Dementia: A Population-Based Study. J Am Geriatr Soc :
Snitz, Beth E; Wang, Tianxiu; Cloonan, Yona Keich et al. (2018) Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting. Alzheimers Dement 14:734-742
Sims, Rebecca (see original citation for additional authors) (2017) Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 49:1373-1384
Dodge, Hiroko H; Zhu, Jian; Hughes, Tiffany F et al. (2017) Cohort effects in verbal memory function and practice effects: a population-based study. Int Psychogeriatr 29:137-148
McDade, Eric; Sun, Zhaowen; Lee, Ching-Wen et al. (2016) The association between pulse pressure change and cognition in late life: Age and where you start matters. Alzheimers Dement (Amst) 4:56-66
Nimgaonkar, Vishwajit L; Yolken, Robert H; Wang, Tianxiu et al. (2016) Temporal Cognitive Decline Associated With Exposure to Infectious Agents in a Population-based, Aging Cohort. Alzheimer Dis Assoc Disord 30:216-22
Graziane, Julie A; Beer, Joanne C; Snitz, Beth E et al. (2016) Dual Trajectories of Depression and Cognition: A Longitudinal Population-Based Study. Am J Geriatr Psychiatry 24:364-73
Chaudhry, Mamoonah; Wang, Xingbin; Bamne, Mikhil N et al. (2015) Genetic variation in imprinted genes is associated with risk of late-onset Alzheimer's disease. J Alzheimers Dis 44:989-94

Showing the most recent 10 out of 42 publications