Evidence map›Paper›PMID 41844668›Full record

ArticleScientific data2026

An online population-representative longitudinal cognitive dataset from the Understanding America Study.

Margaret Gatz, Jill E Darling, Stefan Schneider, Ying Liu, Deborah Finkel, Bart Orriens, Raymond Hernandez, Tania Gutsche, Yadira Garcia, Arie Kapteyn

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 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

10 authors.

Margaret GatzDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1071-9970
Jill E DarlingDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Stefan SchneiderDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Ying LiuDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Deborah FinkelDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Bart OrriensDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Raymond HernandezDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA. hern939@usc.edu.ORCID http://orcid.org/0000-0002-6761-9276
Tania GutscheDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Yadira GarciaDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.
Arie KapteynDornsife Center for Economic & Social Research, University of Southern California, Los Angeles, CA, USA.

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Testing early markers of cognitive decline and dementia derived from survey response behaviorsR01AG068190 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Doerte Ulrike Junghaenel, Stefan Schneider · 2020 to 2026
$4.8M
Operationalizing Behavioral Theory for mHealth: Dynamics, Context, and PersonalizationU01CA229445 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KLASNJA, PREDRAG, MARLIN, BENJAMIN M. · 2018 to 2022
$2.1M
NCI NIH HHS U01 CA229445NIA NIH HHS R01 AG068190NIA NIH HHS U01 AG077280U.S. Department of Health & Human Services | CDC | National Institute for Occupational Safety and Health (NIOSH) K01OH012739U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) 1U01AG077280U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG068190
6 · The paper itself

Abstract

Cognitive epidemiology explores cognitive ability as a risk factor for various health and disease-related outcomes. To support research in this area, the Understanding America Study (UAS)-a nationally representative online probability sample-has developed and collected longitudinal assessments of multiple cognitive domains (e.g., fluid intelligence, executive function, processing speed, verbal episodic memory). These assessments have been compiled into the Cognitive Comprehensive File (CogCF), a publicly available resource of cognitive test data for over 21,000 adults aged 18 years and older. While valuable on its own, the CogCF may also be linked to an extensive range of other publicly available data collected in the UAS, including the complete Health and Retirement Study survey instrument and additional surveys on topics such as job history, personality, financial and psychological wellbeing, healthcare usage, and physical and mental health. These data enable researchers to examine critical questions such as the associations of cognitive ability with everyday life outcomes and factors associated with cognitive changes over the life course.

Indexed as

CognitionAdolescentAdultExecutive FunctionHumansLongitudinal StudiesProcessing SpeedUnited States

Identifiers

PMID41844668
PMCPMC13144393

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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.