Evidence map›Paper›PMID 40386023›Full record

ArticleInnovation in aging2025

The Impact of Later-Life Learning on Trajectories of Cognitive Function Among U.S. Older Adults.

Nan Wang, Hanzhang Xu, Radha Dhingra, Ying Xian, Eleanor S McConnell, Bei Wu, Matthew E Dupre

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Nan WangDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Davis, California, USA.ORCID https://orcid.org/0000-0002-2431-5969
Hanzhang XuDuke University School of Nursing, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0001-9617-247X
Radha DhingraDepartment of Population Health Sciences, Duke University, Durham, North Carolina, USA.
Ying XianDepartment of Neurology, UT Southwestern Medical Center, Dallas, Texas, USA.
Eleanor S McConnellDuke University School of Nursing, Duke University, Durham, North Carolina, USA.
Bei WuRory Meyers College of Nursing, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0002-6891-244X
Matthew E DupreDepartment of Population Health Sciences, Duke University, Durham, North Carolina, USA.

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Resource Center for Alzheimer's and Dementia Research in Asian and Pacific AmericansP30AG083257 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI William Tzu-lung Hu, DENA J SCHULMAN-GREEN · 2023 to 2026
$3.5M
Developing a Mobile App-Based Intervention to Promote Cognitive Health in Older Chinese AmericansR21AG075228 · NIA · DUKE UNIVERSITY · PI XU, HANZHANG · 2022 to 2023
$458k
NIA NIH HHS P30 AG034424NIA NIH HHS P30 AG083257NIA NIH HHS R21 AG075228
6 · The paper itself

Abstract

Background and Objectives: Low education in early life is a major risk factor for dementia. However, little is known about how education in later life is related to cognitive function in older adults. We assessed whether later-life learning was associated with better cognitive function over time and whether the associations differed by sex, race/ethnicity, and prior education. Research Design and Methods: We used data from the 2008-2018 Health and Retirement Study, including participants aged 65+ without baseline dementia and followed for up to 6 years. Global cognition was measured using a summary score. Later-life learning was measured at every wave at least once a month or more, not in the last month, or never. Results: Of 12 099 participants, 10.2% attended an educational or training course "at least once a month or more," 45.5% reported "not in the last month," and 43.3% reported "never" at each wave of the study. Results from adjusted mixed-effects models showed that engaging in any later-life learning, either at least once a month (0.56 points higher, 95% confidence interval [CI] = 0.40-0.73) or not in the last month (0.55 points higher, 95% CI = 0.45-0.65) was associated with better cognitive function compared to never engaging in these activities. The association remained consistent as people aged. The benefits of later-life learning on cognitive function were greater in women than in men-at least once a month versus never was 0.30 points greater in women than men (95% CI = -0.03 to 0.63, Discussion and Implications: Later-life learning was associated with better cognitive function over time. These findings underscore the importance of continued learning among older adults.

Indexed as

Alzheimer’s disease and related dementiasHealthy agingLater-life learningLongitudinal studyPublic health prevention

Identifiers

PMID40386023
PMCPMC12082096

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.