Rajan Kumar B, Leurgans Sue E, Weuve Jennifer, Beck Todd L, Evans Denis A
Rush Institute for Healthy Aging, Department of Internal Medicine, Chicago.
Rush Alzheimer's Disease Center, Department of Neurology & Preventive Medicine, Chicago.
J Biom Biostat. 2011 Nov 18;Suppl 3(1):1-7. doi: 10.4172/2155-6180.S3-001.
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.
在针对老年人的纵向研究中,因未参与研究和死亡导致的数据缺失是两个常见问题。在调整了因未参与研究和死亡导致的数据缺失和截断情况后,社会人口学变量对认知功能下降的影响尚未得到充分研究。本研究基于芝加哥健康与老龄化项目(CHAP)招募的6105名受试者,在大约相隔三年的四个数据收集周期内对他们进行跟踪。认知功能基于简易精神状态检查的标准化测量。我们将使用四种不同的建模方法,研究以社会人口学变量作为风险因素时,未参与研究和死亡对认知功能下降的影响:1)忽略缺失数据的线性混合效应模型;2)使用多重填补(MI)的模式混合模型,按未参与研究和死亡的模式分层;3)按未参与研究的模式分层的未参与研究的MI,以及按死亡时间分层的模式混合模型;4)按未参与研究的模式分层的未参与研究的MI,以及带有死亡时间分类变量的模式混合模型。社会人口学变量与认知功能的基线关联在黑人和白人中大多保持不变。然而,在考虑了未参与研究和死亡因素后,10年间认知功能的下降幅度减少了约50%(黑人系数从-0.544变为-0.285;白人系数从-0.682变为-0.339)。年龄对10年间认知功能变化的影响减少了约30%(黑人系数从-0.033变为-0.010;白人系数从-0.049变为-0.016)。白人男性的认知功能轨迹在10年间减少了约45%(从0.12变为0.055)。教育程度在黑人中与认知功能的变化显著相关,但在白人中并非如此。此外,女性在白人中认知功能有显著变化,但在黑人中并非如此。我们发现,未对未参与研究和死亡因素进行调整的模型与对这些因素进行了调整的模型在认知功能变化方面存在显著差异。