Evidence map›Paper›PMID 40906594›Full record

ArticleNeuroepidemiology2026

The Pace of Memory Decline in Older Adults without a Neurocognitive Disorder: Results from 22 Years of Follow-Up in a Nationally Representative Sample.

Zachary J Kunicki, Emma Nichols, Alyssa N De Vito, Cyrus M Kosar, Adea Rich, Emily M Briceño, Douglas Tommet, Alden L Gross, Richard N Jones

Abstract read
In one paragraph

Article in Neuroepidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Zachary J KunickiWarren Alpert Medical School of Brown University, Providence, Rhode Island, USA, zachary_kunicki@brown.edu.
Emma NicholsCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Alyssa N De VitoWarren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Cyrus M KosarBrown University School of Public Health, Providence, Rhode Island, USA.
Adea RichColumbia University Irving Medical Center, New York, New York, USA.
Emily M BriceñoUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Douglas TommetWarren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Alden L GrossJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Richard N JonesWarren Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Measurement of cognition and functional decline in Latinx older adults for detection of Alzheimer’s Disease and Related Dementias: A mixed-methods approachK23AG080035 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Emily Marie Briceno · 2023 to 2026
$767k
Defining rates of cognitive aging in adults with and without dementia using the CODA cohortR03AG088764 · NIA · BROWN UNIVERSITY · PI KUNICKI, ZACHARY · 2024 to 2024
$319k
NIA NIH HHS K23 AG080035NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG088764NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

introductionThe pace of cognitive change is one of the major questions in cognitive aging. The Children of the Depression Age (CODA) cohort of the Health and Retirement Study (HRS) is uniquely suited to study cognitive aging because it has a long follow-up (22 years) and a narrow age range at baseline (67-74 years) and presents a unique opportunity to study this topic.

methodsWe examined delayed recall data over the 22 years of follow-up in a nationally representative sample of the USA (HRS-CODA; N = 2,295 at baseline and N = 263 at the final follow-up wave), examining results for the entire sample and omitting participants with self-reported dementia. Data were analyzed using latent growth curve models, adjusting for baseline age, sex, years of education, and race/ethnicity.

resultsRespondents were predominantly female (62%), white (86%), and 71 years old on average at baseline. Our results suggest the pace of normative (defined as the absence of a dementia diagnosis over the follow-up period) memory decline is about -0.05 standard deviations per year (SD/y) but is better characterized by age-specific estimates of -0.04 SD/y, -0.10 SD/y, and -0.15 SD/y for an individual who was 75, 85, and 95, respectively. DISCUSSION: Memory decline, in the absence of a recognized dementia and without a confounding of baseline age differences and longitudinal age changes, would be present but almost imperceptible to an individual in their eighth decade, but noticeable in their ninth and quite impairing in their tenth decade. Future research is needed to examine other cognitive domains and with more robust measures.

Indexed as

AgingCognitive AgingMemory DisordersAgedFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleUnited StatesAgingCognitionCognitive assessmentNeuroepidemiologyPopulation-based studies

Identifiers

PMID40906594
PMCPMC12440226

What OpenQuestion holds

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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.