Evidence map›Paper›PMID 30522545›Full record

ArticleJournal of the International Neuropsychological Society : JINS2019

Characterizing the Effects of Sex, APOE ɛ4, 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.

Rebecca L Koscik, Derek L Norton, Samantha L Allison, Erin M Jonaitis, Lindsay R Clark, Kimberly D Mueller, Bruce P Hermann, Corinne D Engelman, Carey E Gleason, Mark A Sager and 2 more

Abstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Cognitive trajectories diverge by genetic risk in a preclinical longitudinal cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Measuring longitudinal cognition: Individual tests versus composites.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Rebecca L Koscik1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Derek L Norton2Department of Biostatistics and Medical Informatics,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Samantha L Allison1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Erin M Jonaitis1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Lindsay R Clark1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Kimberly D Mueller1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Bruce P Hermann1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Corinne D Engelman1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Carey E Gleason3Geriatric Research Education and Clinical Center,William S. Middleton Memorial Veterans Hospital,Madison,Wisconsin.
Mark A Sager1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Richard J Chappell2Department of Biostatistics and Medical Informatics,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.
Sterling C Johnson1Wisconsin Alzheimer's Institute,University of Wisconsin School of Medicine and Public Health,Madison,Wisconsin.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Wisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8M
African Americans Fighting Alzheimer’s in Midlife (AA-FAIM)R01AG054059 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAREY E GLEASON · 2016 to 2026
$15.3M
Genomic and Metabolomic Data Integration in a Longitudinal Cohort at Risk for Alzheimer's DiseaseR01AG054047 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, CORINNE D. · 2016 to 2020
$3.6M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG054059NIA NIH HHS RF1 AG027161
6 · The paper itself

Abstract

objectivesPrior 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.

methodsHere, 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) ɛ4 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.

resultsFor 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 (∼40-70 years).

conclusionsThese 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).

Indexed as

Models, TheoreticalRegistriesAdultAgedAlzheimer DiseaseApolipoprotein E4Cognitive DysfunctionEducational StatusFemaleHumansLiteracyLongitudinal StudiesMaleMiddle AgedProtective FactorsSex FactorsApolipoprotein E4Alzheimer’s diseaseCognitive declineKullback-Leibler divergenceModel averagingModel likelihoodsModel selection

Identifiers

PMID30522545
PMCPMC6374172

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.