Evidence map›Paper›PMID 31578298›Full record

ArticleNeurology2019

Relation between 20-year income volatility and brain health in midlife: The CARDIA study.

Leslie Grasset, M Maria Glymour, Tali Elfassy, Samuel L Swift, Kristine Yaffe, Archana Singh-Manoux, Adina Zeki Al Hazzouri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Impact of Guaranteed Income on Health, Finances, and Agency: Findings from the Stockton Randomized Controlled Trial.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
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  6. Large-Scale Brain Networks Track Gasoline Price Shifts.bioRxiv : the preprint server for biology · 2025
    Article
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  19. Associations of Religious Service Attendance With Cognitive Function in Midlife: Findings From The CARDIA Study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Leslie GrassetFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY. leslie.grasset@u-bordeaux.fr.
M Maria GlymourFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.
Tali ElfassyFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.
Samuel L SwiftFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.
Kristine YaffeFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.
Archana Singh-ManouxFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.
Adina Zeki Al HazzouriFrom Université de Bordeaux (L.G.), INSERM, Bordeaux Population Health Research Center, Team VINTAGE UMR1219; Inserm (L.G.), CIC1401-EC, Bordeaux, France; Departments of Epidemiology and Biostatistics (M.M.G., K.Y.), Psychiatry (K.Y.), and Neurology (K.Y.), University of California San Francisco; Division of Epidemiology, Department of Public Health Sciences (T.E., S.L.S.), University of Miami, FL; INSERM U1018 (A.S.-M.), Centre for Research in Epidemiology and Population Health, Paris, France; Department of Epidemiology and Public Health (A.S.-M.), University College London, UK; and Department of Epidemiology (A.Z.A.H.), Mailman School of Public Health, Columbia University, New York, NY.

Funding

Institutional Career Development CoreKL2TR002737 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA, SCOTT, GWENDOLYN BARBARA · 2018 to 2022
$3.6M
Lifecourse cardiovascular risk, depression and cognition in black & white adultsK01AG047273 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ZEKI AL HAZZOURI, ADINA · 2014 to 2018
$617k
Medical Research Council MR/S011676/1NCATS NIH HHS KL2 TR002737NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INIA NIH HHS K01 AG047273
6 · The paper itself

Abstract

objectiveIncome volatility presents a growing public health threat. To our knowledge, no previous study examined the relationship among income volatility, cognitive function, and brain integrity.

methodsWe studied 3,287 participants aged 23-35 years in 1990 from the Coronary Artery Risk Development in Young Adults prospective cohort study. Income volatility data were created using income data collected from 1990 to 2010 and defined as SD of percent change in income and number of income drops ≥25% (categorized as 0, 1, or 2+). In 2010, cognitive tests (n = 3,287) and brain scans (n = 716) were obtained.

resultsAfter covariate adjustment, higher income volatility was associated with worse performance on processing speed (β = -1.09, 95% confidence interval [CI] -1.73 to -0.44) and executive functioning (β = 2.53, 95% CI 0.60-4.50) but not on verbal memory (β = -0.02, 95% CI -0.16 to 0.11). Similarly, additional income drops were associated with worse performance on processing speed and executive functioning. Higher income volatility and more income drops were also associated with worse microstructural integrity of total brain and total white matter. All findings were similar when restricted to those with high education, suggesting reverse causation may not explain these findings.

conclusionIncome volatility over a 20-year period of formative earning years was associated with worse cognitive function and brain integrity in midlife.

Indexed as

CognitionAdultBlack or African AmericanBrainCohort StudiesFemaleHumansIncomeLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesWhite People

Identifiers

PMID31578298
PMCPMC6946474

What OpenQuestion holds

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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.