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Characterizing the Effects of Sex, APOE e4, and Literacy on Mid-life Cognitive Trajectories: Application of Information-Theoretic Model Averaging and Multi-model Inference Techniques to the Wisconsin Registry for Alzheimer's Prevention Study
被引：5
|作者：
Koscik, Rebecca L.
[1
]
Norton, Derek L.
[2
]
Allison, Samantha L.
[1
]
Jonaitis, Erin M.
[1
]
Clark, Lindsay R.
[1
,3
,4
]
Mueller, Kimberly D.
[1
]
Hermann, Bruce P.
[1
,5
]
Engelman, Corinne D.
[1
,6
]
Gleason, Carey E.
[3
,4
]
Sager, Mark A.
[1
,4
]
Chappell, Richard J.
[2
,7
]
Johnson, Sterling C.
[1
,3
,4
]
机构：
[1] Univ Wisconsin, Sch Med & Publ Hlth, Wisconsin Alzheimers Inst, Madison, WI USA
[2] Univ Wisconsin, Dept Biostat & Med Informat, Sch Med & Publ Hlth, Madison, WI USA
[3] William S Middleton Mem Vet Adm Med Ctr, Geriatr Res Educ & Clin Ctr, Madison, WI USA
[4] Univ Wisconsin, Madison Sch Med & Publ Hlth, Alzheimers Dis Res Ctr, Madison, WI USA
[5] Univ Wisconsin, Dept Neurol, Sch Med & Publ Hlth, Madison, WI 53706 USA
[6] Univ Wisconsin, Sch Med & Publ Hlth, Dept Populat Hlth Sci, Madison, WI USA
[7] Univ Wisconsin, Dept Stat, Madison, WI 53706 USA
基金：
美国国家卫生研究院;
关键词：
Kullback-Leibler divergence;
Model averaging;
Model likelihoods;
Model selection;
Cognitive decline;
Alzheimer's disease;
APOLIPOPROTEIN-E;
BEHAVIORAL ECOLOGY;
AFRICAN-AMERICANS;
GENDER-DIFFERENCE;
FEMALE ADVANTAGE;
MEMORY DECLINE;
AGE;
SELECTION;
DISEASE;
RISK;
D O I：
10.1017/S1355617718000954
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
Objectives: Prior research has identified numerous genetic (including sex), education, health, and lifestyle factors that predict cognitive decline. Traditional model selection approaches (e.g., backward or stepwise selection) attempt to find one model that best fits the observed data, risking interpretations that only the selected predictors are important. In reality, several predictor combinations may fit similarly well but result in different conclusions (e.g., about size and significance of parameter estimates). In this study, we describe an alternative method, Information-Theoretic (IT) model averaging, and apply it to characterize a set of complex interactions in a longitudinal study on cognitive decline. Methods: Here, we used longitudinal cognitive data from 1256 late-middle aged adults from the Wisconsin Registry for Alzheimer's Prevention study to examine the effects of sex, apolipoprotein E (APOE) e4 allele (non-modifiable factors), and literacy achievement (modifiable) on cognitive decline. For each outcome, we applied IT model averaging to a set of models with different combinations of interactions among sex, APOE, literacy, and age. Results: For a list-learning test, model-averaged results showed better performance for women versus men, with faster decline among men; increased literacy was associated with better performance, particularly among men. APOE had less of an association with cognitive performance in this age range (similar to 40-70 years). Conclusions: These results illustrate the utility of the IT approach and point to literacy as a potential modifier of cognitive decline. Whether the protective effect of literacy is due to educational attainment or intrinsic verbal intellectual ability is the topic of ongoing work. (JINS, 2019, 25, 119-133)
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页码：119 / 133
页数：15
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