Evidence map›Paper›PMID 40394218›Full record

ArticleAmerican journal of epidemiology2026

The association between smoking status and aging cognitive trajectory accounting for bias in attrition.

Rachel Stuckwisch, Aleena Bennett, Anaïs Rouanet, Lloyd J Edwards, Michael Crowe, Suzanne E Judd, Leann D Long

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Rachel StuckwischDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0009-0009-0977-5594
Aleena BennettDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-3950-4252
Anaïs RouanetÉquipe de Biostatistique, U1219-Bordeaux Population Health Research Centre, Université de Bordeaux, Bordeaux, France.ORCID 0000-0001-7525-218X
Lloyd J EdwardsDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-7788-4575
Michael CroweDepartment of Psychology, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0001-7736-4441
Suzanne E JuddDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0001-7594-6587
Leann D LongDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID 0000-0001-8614-7190

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
UAB Alzheimer's Disease Research CenterP30AG086401 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Marissa C Natelson Love · 2024 to 2026
$17.1M
NIA NIH HHS P30 AG086401NIH HHS P30AG086401NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Studies on the relationship between smoking and cognition yield conflicting results, potentially from survival bias. We examined the effect of smoking status on cognitive evolution, accounting for potential bias in attrition. We analyzed 21 216 Black and White participants from the REGARDS cohort study. In order to account for potential differential attrition, a sensitivity analysis compared the association between smoking status and age-sex-specific composite cognitive trajectories using linear mixed models, robust under missing at random assumption, and joint models, robust under the extended missing at random assumptions. Linear mixed model results indicated current smokers had lower overall composite cognitive scores compared to never smokers at baseline (-0.20, 95% CI, -0.23 to -0.16) and at 14-years duration in the study (-0.26, 95% CI, -0.33 to -0.20), also apparent when comparing current smokers to past smokers, and memory and verbal fluency composite scores. Joint modeling estimates yielded results similar to results from linear mixed models. Joint models are recommended as a potential means to investigate concerns about attrition, particularly in studies of factors associated with both cognition and mortality. This study provides further support that smoking is likely to have negative impacts on cognition.

Indexed as

AgingCognitionSmokingAgedBiasBlack or African AmericanFemaleHumansLinear ModelsMaleMiddle AgedWhite Peopleattrition biascognitionjoint modelssmoking

Identifiers

PMID40394218
PMCPMC13168811

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.