Literature DB >> 24634795

Effect of Demographic Risk Factors on the Change in Cognitive Function in the Presence of Non-Participation and Truncation due to Death.

Kumar B Rajan1, Sue E Leurgans2, Jennifer Weuve1, Todd L Beck1, Denis A Evans1.   

Abstract

Missing data due to non-participation and death are two common problems in longitudinal studies of the elderly. The effect of socio-demographic variables on the decline in cognitive function after adjusting for non-participation and truncation due to death has not been well studied. This study is based on 6,105 subjects enrolled in the Chicago Health and Aging Project (CHAP), followed over four cycles of data collection approximately three years apart. Cognitive function was based on a standardized measure of mini-mental state examination. We will study the impact of non-participation and death on the decline in cognitive function with socio-demographic variables as risk factors, using four different modeling approaches: 1) a linear mixed effects model ignoring the missing data, 2) a pattern-mixture model using multiple imputation (MI) stratified by patterns of non-participation and death, 3) MI for non-participation stratified by patterns of non-participation and a pattern-mixture model stratified by the time of death, and 4) MI for non-participation stratified by patterns of non-participation and a pattern-mixture model with a categorical variable for time of death. The baseline association of socio-demographic variables with cognitive function was mostly unchanged among Blacks and Whites. However, the decline in cognitive function over a 10-year period had decreased by approximately 50% (Blacks coefficient changed from -0.544 to -0.285; Whites coefficient changed from -0.682 to -0.339) after accounting for non-participation and death. The effect of age on the change in cognitive function over a 10-year period had reduced by about 30% (Blacks coefficient changed from -0.033 to -0.010; Whites coefficient changed from -0.049 to -0.016). The trajectory of cognitive function for White males had reduced by approximately 45% (changed from 0.12 to 0.055) over a 10-year period. Education was significantly associated with the change in cognitive function among Blacks but not among Whites. Moreover, females showed a significant change in cognitive function among Whites, but not among Blacks. We found significant differences on the change in cognitive function between models that did not adjust for non-participation and death, and models that adjusted for them.

Entities:  

Year:  2011        PMID: 24634795      PMCID: PMC3953029          DOI: 10.4172/2155-6180.S3-001

Source DB:  PubMed          Journal:  J Biom Biostat


  16 in total

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Journal:  Stat Med       Date:  1999 Sep 15-30       Impact factor: 2.373

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Journal:  Stat Med       Date:  2002-04-30       Impact factor: 2.373

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Journal:  Biometrics       Date:  1999-06       Impact factor: 2.571

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Authors:  Herbert Thijs; Geert Molenberghs; Bart Michiels; Geert Verbeke; Desmond Curran
Journal:  Biostatistics       Date:  2002-06       Impact factor: 5.899

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

Authors:  Kumar B Rajan; Sue E Leurgans
Journal:  Stat Med       Date:  2010-09-20       Impact factor: 2.373

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Authors:  Constantine E Frangakis; Donald B Rubin; Ming-Wen An; Ellen MacKenzie
Journal:  Biometrics       Date:  2007-09       Impact factor: 2.571

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Authors:  J W Hogan; N M Laird
Journal:  Stat Med       Date:  1997 Jan 15-Feb 15       Impact factor: 2.373

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Authors:  R J Little; Y Wang
Journal:  Biometrics       Date:  1996-03       Impact factor: 2.571

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Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

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Authors:  Julia L Bienias; Laurel A Beckett; David A Bennett; Robert S Wilson; Denis A Evans
Journal:  J Alzheimers Dis       Date:  2003-10       Impact factor: 4.472

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