We plan to determine the incidence and prevalence of dementia among black and white community residents aged 65 and over in a five county (urban and rural) area in piedmont North Carolina, and to examine the extent to which race differences in health and sociodemographic characteristics explain differences in dementia rates. The sample will be drawn from the longitudinal Duke EPESE multistage probability sample (n=4,164). In the incidence study, all who have experienced a 2 point decline on a cognitive function screen over a three year period (c. 700) and all who have died in the interim (c. 600) will be evaluated. Participation in the probability study will be on the basis of stratified random sampling with replacement (n=342). Stratification will be based on cognitive functioning score. The selection procedure will maximize the opportunity of including persons with dementia. In both studies uniform diagnostic criteria for dementia based on DSM-III-R and for Alzheimer's disease (based on NINCDS-ADRDA criteria) will be developed using the standardized CERAD protocols. Weighted data will be used to project information to the five county area. Race, sex and age specific and adjusted incidence and prevalence rates will be determined. In addition, logistic regression will be used to examine the extent to which race differences in dementia rates are related to the presence of vascular and metabolic conditions and sociodemographic characteristics.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37AG008937-07
Application #
2330190
Study Section
Special Emphasis Panel (NSS)
Project Start
1991-02-01
Project End
2001-01-31
Budget Start
1997-02-01
Budget End
1998-01-31
Support Year
7
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Duke University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
071723621
City
Durham
State
NC
Country
United States
Zip Code
27705
Peterson, Bercedis L; Fillenbaum, Gerda G; Pieper, Carl F et al. (2008) Home or nursing home: does place of residence affect longevity in patients with Alzheimer's disease? The experience of CERAD patients. Public Health Nurs 25:490-7
Purser, Jama L; Fillenbaum, Gerda G; Wallace, Robert B (2006) Memory complaint is not necessary for diagnosis of mild cognitive impairment and does not predict 10-year trajectories of functional disability, word recall, or short portable mental status questionnaire limitations. J Am Geriatr Soc 54:335-8
Purser, Jama L; Fillenbaum, Gerda G; Pieper, Carl F et al. (2005) Mild cognitive impairment and 10-year trajectories of disability in the Iowa Established Populations for Epidemiologic Studies of the Elderly cohort. J Am Geriatr Soc 53:1966-72
Kuchibhatla, M; Fillenbaum, G G (2005) Modeling association in longitudinal binary outcomes: a brief review. Aging Ment Health 9:196-200
Fillenbaum, Gerda G; Kuchibhatla, Maragatha N; Hanlon, Joseph T et al. (2005) Dementia and Alzheimer's disease in community-dwelling elders taking vitamin C and/or vitamin E. Ann Pharmacother 39:2009-14
Watson, Lea C; Lewis, Carmen L; Fillenbaum, Gerda G (2005) Asking family about memory loss. Is it helpful? J Gen Intern Med 20:28-32
Fillenbaum, Gerda G; McCurry, Susan M; Kuchibhatla, Maragatha et al. (2005) Performance on the CERAD neuropsychology battery of two samples of Japanese-American elders: norms for persons with and without dementia. J Int Neuropsychol Soc 11:192-201
Kuchibhatla, M; Fillenbaum, G G (2003) Comparison of methods for analyzing longitudinal binary outcomes: cognitive status as an example. Aging Ment Health 7:462-8
Kuchibhatla, M; Fillenbaum, G G (2003) Alternative statistical approaches to identifying dementia in a community-dwelling sample. Aging Ment Health 7:383-9
Kuchibhatla, Maragatha; Fillenbaum, Gerda G (2002) Assessing risk factors for mortality in elderly White and African American people: implications of alternative analyses. Gerontologist 42:826-34

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