Literature DB >> 14646025

Design of the Chicago Health and Aging Project (CHAP).

Julia L Bienias1, Laurel A Beckett, David A Bennett, Robert S Wilson, Denis A Evans.   

Abstract

The design of the Chicago Health and Aging Project (CHAP) is described. CHAP is a longitudinal population study of common chronic health problems of older persons, especially of risk factors for incident Alzheimer's disease, in a biracial neighborhood of the south side of Chicago. Special attention is given to three unusual design features of the study. One feature is that clinical evaluation for Alzheimer's disease is confined to a stratified random sample of all participants. This feature results in substantial cost savings and substantially less bias than screening approaches but has the disadvantages of adding analytic complexity and requiring the use of indirect means to identify a disease-free cohort for the development of incident Alzheimer's disease. The second unusual feature is efficiently combining in analyses the successive independent multiple samples that are drawn, one from each data collection cycle. The third unusual feature is entering successive age cohorts of community residents into the study as they attain 65 years of age. This has the advantages of enhancing direct investigation of the effect of age on the action of risk factors for Alzheimer's disease and direct examination of cohort effects. The interaction of these features is described, especially as they pertain to a study in which data are collected in successive waves. The results from these waves must be combined for effective analysis of the relation among risk factors and incident disease.

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Year:  2003        PMID: 14646025     DOI: 10.3233/jad-2003-5501

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  117 in total

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Authors:  Brian P Lucas; Carlos F Mendes de Leon; Ronald J Prineas; Julia L Bienias; Denis A Evans
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3.  Cognitive and physical functions as determinants of delayed age at onset and progression of disability.

Authors:  Kumar B Rajan; Liesi E Hebert; Paul Scherr; Xinqi Dong; Robert S Wilson; Denis A Evans; Carlos F Mendes de Leon
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4.  Cognitive decline after hospitalization in a community population of older persons.

Authors:  R S Wilson; L E Hebert; P A Scherr; X Dong; S E Leurgens; D A Evans
Journal:  Neurology       Date:  2012-03-21       Impact factor: 9.910

5.  Association between elder self-neglect and hospice utilization in a community population.

Authors:  XinQi Dong; Melissa A Simon
Journal:  Arch Gerontol Geriatr       Date:  2012-07-05       Impact factor: 3.250

6.  Joint modeling of missing data due to non-participation and death in longitudinal aging studies.

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Journal:  Stat Med       Date:  2010-09-20       Impact factor: 2.373

7.  Biochemical indicators of vitamin B12 and folate insufficiency and cognitive decline.

Authors:  Christine C Tangney; Yuxiao Tang; Denis A Evans; Martha Clare Morris
Journal:  Neurology       Date:  2009-01-27       Impact factor: 9.910

8.  Cognitive Aging in Black and White Americans: Cognition, Cognitive Decline, and Incidence of Alzheimer Disease Dementia.

Authors:  Jennifer Weuve; Lisa L Barnes; Carlos F Mendes de Leon; Kumar B Rajan; Todd Beck; Neelum T Aggarwal; Liesi E Hebert; David A Bennett; Robert S Wilson; Denis A Evans
Journal:  Epidemiology       Date:  2018-01       Impact factor: 4.822

9.  Racial Differences in Cognitive Function and Risk of Incident Stroke.

Authors:  Kumar B Rajan; Julie A Schneider; Neelum T Aggarwal; Robert S Wilson; Susan A Everson-Rose; Denis A Evans
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-09-19       Impact factor: 2.136

10.  Gene-behavior interaction of depressive symptoms and the apolipoprotein E {varepsilon}4 allele on cognitive decline.

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Journal:  Psychosom Med       Date:  2014-01-16       Impact factor: 4.312

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