Factors Influencing Decline in AD Trends in a Biracial Population Study
Project Number7RF1AG057532-03
Former Number1R01AG057532-01
Contact PI/Project LeaderRAJAN, KUMAR B.
Awardee OrganizationRUSH UNIVERSITY MEDICAL CENTER
Description
Abstract Text
Several research studies suggest a secular decline in AD trends. However factors influencing negative secular
trend in AD are unknown. Besides, racial differences in these secular trends also need to be established for
African American minorities. To address these issues, we propose to use a large population-based study with
cognitive tests of executive functioning, episodic memory, and overall global cognition and orientation in
10,801 participants, and clinical diagnosis of AD in 2,839 participants of African American and European
American ethnicity to study age, race, and sex-specific decline in AD trends between 1993 and 2012, and
reasons for a negative secular trend in AD. More specifically, the five objectives of this proposal are: (1)
Demographic differences in AD trends aim: evaluate age-, sex-, and race-specific trends in AD using
composite and individual tests of cognition, ADLS, and clinical diagnosis in prevalent and incident Alzheimer’s
AD from 1993 to 2012; (2) Risk factors aim: understand the association of demographic characteristics,
hypertension, stroke, diabetes, Body Mass Index (BMI), perceived stress, and depressive symptoms on AD
trends using composite and individual tests of cognition, ADLS, and clinical diagnosis of prevalent and incident
AD between 1993 and 2012. (3) Protective factors aim: examine the association of educational attainment,
income, social engagement, neuroticism, extraversion, physical activity, and cognition enriching activities on
AD trends using composite and individual tests of cognition, ADLS, and clinical diagnosis of prevalent and
incident AD between 1993 and 2012. (4) Medications use aim: Examine how anti-hypertensive, statin, and
diabetes medication, and multi-vitamin supplement use may be associated with incident AD, and how change
in hypertension, statin, and diabetes medication use may be associated with AD trends using composite and
individual tests of cognition, ADLS, and clinical diagnosis of AD between 1993 and 2012. In this proposal, we
use a newly developed AD likelihood score (ADLS) to translate clinical diagnosis of AD in clinical sample that
uses 19 neuropsychological tests to likelihood of AD in our population sample that uses 4 short-battery
neuropsychological tests. Such an approach will drastically improve our power to detect potential reasons for
secular decline in AD trends. In addition, our proposal examines demographic differences in AD trends, and
putative risk factors and preventive factors that might influence AD trends. This proposal has the potential to
make a large public health impact in potentially identifying factors that could be influencing AD trends leading
to intervention studies that could be geared towards improving the identified factors in the general population.
Public Health Relevance Statement
Description:
This proposal aims to examine the decline in age-, sex-, and race-specific AD trends using a biracial
population sample between 1993 and 2012. The decline in AD trends will be assessed using clinical diagnosis
of AD, as well as Alzheimer’s disease likelihood score (ADLS), and composite and individuals tests of cognitive
function in the population sample. In addition to examining the decline in AD trends, we will assess the
relationship of risk and protective factors on the decline in AD trends. Potential changes in hypertension,
diabetes, and statin medication use will also be examined as reasons for decline in AD trends between 1993
and 2012. This proposal is based on a longitudinal cohort of 10,801 older adults with recurrent cognitive
assessments and risk factors identified over the long duration of the study. The clinical diagnosis of AD was
performed in 2,945, however, the ADLS score is available on the entire study sample (N=10,801) making it
easier and efficient to trace the change in population estimate of AD over time.
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