Evidence map›Paper›PMID 23437898›Full record

ArticlePsychology and aging2013

Demographic predictors of cognitive change in ethnically diverse older persons.

Dawnté R Early, Keith F Widaman, Danielle Harvey, Laurel Beckett, Lovingly Quitania Park, Sarah Tomaszewski Farias, Bruce R Reed, Charles Decarli, Dan Mungas

Abstract read
In one paragraph

Article in Psychology and aging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% of its field
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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Machine learning diagnosis of cognitive impairment and dementia in harmonized older adult cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  12. Effects of early-life environment and adulthood SES on cognitive change in a multiethnic cohort.Journal of the International Neuropsychological Society : JINS · 2023
    Article
  13. Article
  14. APOE Effects on Late Life Cognitive Trajectories in Diverse Racial/Ethnic Groups.Journal of the International Neuropsychological Society : JINS · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Measuring Cognitive Health in Ethnically Diverse Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  20. Article

19 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Dawnté R EarlyDepartment of Neurology, School of Medicine, University of California, Davis.
Keith F Widaman
Danielle Harvey
Laurel Beckett
Lovingly Quitania Park
Sarah Tomaszewski Farias
Bruce R Reed
Charles Decarli
Dan Mungas
VA Northern California Health Care System · USUniversity of California, Davis · USFaculty of Public Health · GB

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Heterogeneity of Mild Cognitive Impairment(MCI)R01AG021028 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 2003 to 2014
$4.6M
ENGLISH AND SPANISH ASSESSMENT OF COGNITION IN ELDERLYR01AG010220 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MUNGAS, DAN M. · 1992 to 2012
$4.5M
INVESTIGATOR DEVELOPMENT COREP30AG043097 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HINTON, WALTER LADSON · 2012 to 2017
$2.9M
NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG043097NIA NIH HHS R01 AG010220NIA NIH HHS R01 AG021028NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

The purpose of this study was to evaluate how demographic variables relate to cognitive change and address whether cross-sectional demographic effects on cognitive tests are mirrored in differences in longitudinal trajectories of cognitive decline. We hypothesized that race and ethnicity, education, and language of test administration would relate to cross-sectional status and that the rate of cognitive decline would differ among African Americans, Hispanics, and Caucasians, across levels of educational attainment, and according to linguistic background. Participants were 404 educationally, ethnically, and cognitively diverse older adults enrolled in an ongoing longitudinal study of cognition. Mixed-effects regression analysis was used to measure baseline status and longitudinal change in episodic memory, executive functioning, and semantic memory. Results showed that ethnicity and education were strongly associated with baseline scores, but were, at most, weakly associated with change in cognition over time after accounting for confounding variables. There was evidence that the episodic-memory scores of Spanish-speaking Hispanic participants with limited education underestimated their true abilities in the initial evaluation, which may reflect lack of familiarity with the testing environment. These results--consistent with other reports in the literature--suggest that cross-sectional effects of demographic variables on cognitive-test scores result from differences in life experiences that directly influence test performance and do not indicate greater disease effects on cognition in minorities and those with limited education.

Indexed as

AgedAged, 80 and overAgingBlack or African AmericanCognition DisordersCross-Sectional StudiesFemaleHispanic or LatinoHumansMaleRisk FactorsWhite People

Identifiers

PMID23437898
PMCPMC3778107
OpenAlexW2081393161

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.