Evidence map›Paper›PMID 42181698›Full record

ArticleInnovation in aging2026

Cognitive dispersion in established adulthood: etiology and implications for cognitive aging.

Anqing Zheng, Elizabeth Muñoz, Robin P Corley, Daniel E Gustavson, Naomi P Friedman, Robert Plomin, Sally J Wadsworth, Chandra A Reynolds

Abstract read
In one paragraph

Article in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Anqing ZhengInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0003-0238-8275
Elizabeth MuñozHuman Development and Family Sciences, University of Texas at Austin, Austin, Texas, United States.ORCID https://orcid.org/0000-0003-2152-5917
Robin P CorleyInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0002-2938-4170
Daniel E GustavsonInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0002-1470-4928
Naomi P FriedmanInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0002-4901-808X
Robert PlominSocial Genetic & Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0756-3629
Sally J WadsworthInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0002-1909-6677
Chandra A ReynoldsInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States.ORCID https://orcid.org/0000-0001-6502-7173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Cognitive dispersion, reflecting intraindividual variability across tasks, may signal dementia risk in older adults, but its origins and relevance before midlife are unclear. We examined dispersion as a potential marker of cognitive reserve in established adulthood and distinguished it from general ability using heritability analyses. Research Design and Methods: 1,245 primarily non-Hispanic White twins and siblings were assessed at 33.3 years (SD = 5.0; 53% female) using 2 cognitive batteries. Bayesian mixed effects location scale models estimated mean performance and dispersion across cognitive tasks, with tasks standardized against current sample-based norms (age 33) and adolescent norms (age 16). The mean of task scores standardized to current norms reflects current ability, while the mean of the same scores standardized to adolescent norms reflects growth in ability. The respective dispersion estimates represent task-specific deviations from general ability and task-specific gains. Results: Across 4 models fitted by battery and standardization, greater cognitive dispersion was associated with higher general ability ( Discussion and Implications: Before midlife, cognitive dispersion is distinct from general ability and moderately heritable. Dispersion is associated with higher cognitive ability and growth, but not directly with educational or occupational attainment, suggesting dispersion may relate to cognitive reserve through other pathways.

Indexed as

Cognitive reserveCognitive specializationIntraindividual variabilityOccupational prestige

Identifiers

PMID42181698
PMCPMC13189861

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LicenceCC BY-NC-ND
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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.