Modeling Risk Factors for Intraindividual Variability: A Mixed-Effects Beta-Binomial Model Applied to Cognitive Function in Older People in the English Longitudinal Study of Ageing.
Modeling Risk Factors for Intraindividual Variability: A Mixed-Effects Beta-Binomial Model Applied to Cognitive Function in Older People in the English Longitudinal Study of Ageing.
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为个体内部变异性的风险因素建模：在英国老龄化纵向研究中应用于老年人认知功能的混合效应Beta-二项模型。
DOI：
10.1093/aje/kwad169
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发表时间：
2024-01-08
影响因子：
5
通讯作者：
中科院分区：
文献类型：
--
作者：
老年人的认知功能对生活质量和健康有着深远的影响。虽然大多数关于老年认知的研究都集中在平均水平上，但围绕这一点的个体内变异性（IIV）可能具有独立于平均值的风险因素和结果。调查与iv相关的风险因素通常涉及从拟合平均值周围的残差中得出每个人的汇总统计量。然而，这忽略了估计中的不确定性，禁止探索与时变因素的关联，并且受到下限/上限效应的影响。为了解决这个问题，我们提出了一个混合效应的位置量表β -二项模型来估计英语老龄化纵向研究中单词回忆测试的平均概率和IIV。在对平均表现进行调整后，对7波（2002-2015）（平均= 3.4）的9873人进行的分析发现，IIV在年龄较大、受教育程度较低、女性、日常生活活动困难较多、出生较晚以及采访者记录可能影响考试成绩的问题时更高。我们的研究引入了一种新的方法来识别有界离散结果中具有更大IIV的群体。我们的研究结果对日常功能和护理有影响，需要进一步的工作来确定对未来健康结果的影响。
Cognitive functioning in older age profoundly impacts quality of life and health. While most research on cognition in older age has focused on mean levels, intraindividual variability (IIV) around this may have risk factors and outcomes independent of the mean value. Investigating risk factors associated with IIV has typically involved deriving a summary statistic for each person from residual error around a fitted mean. However, this ignores uncertainty in the estimates, prohibits exploring associations with time-varying factors, and is biased by floor/ceiling effects. To address this, we propose a mixed-effects location scale beta-binomial model for estimating average probability and IIV in a word recall test in the English Longitudinal Study of Ageing. After adjusting for mean performance, an analysis of 9,873 individuals across 7 (mean = 3.4) waves (2002–2015) found IIV to be greater at older ages, with lower education, in females, with more difficulties in activities of daily living, in later birth cohorts, and when interviewers recorded issues potentially affecting test performance. Our study introduces a novel method for identifying groups with greater IIV in bounded discrete outcomes. Our findings have implications for daily functioning and care, and further work is needed to identify the impact for future health outcomes.
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影响因子：
4.5
作者：
通讯作者：
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影响因子：
5.7
作者：
Langa, KM;Plassman, BL;Willis, RJ
通讯作者：
Willis, RJ
影响因子：
2.4
作者：
Gamaldo, Alyssa A.;An, Yang;Zonderman, Alan B.
通讯作者：
Zonderman, Alan B.
影响因子：
1.9
作者：
Hedeker, Donald;Mermelstein, Robin J.;Demirtas, Hakan
通讯作者：
Demirtas, Hakan
DOI：
10.1093/geronb/57.2.p101
发表时间：
2002-03-01
影响因子：
6.2
作者：
Hultsch, DF;MacDonald, SWS;Dixon, RA
通讯作者：
Dixon, RA