Evidence map›Paper›PMID 41871834›Full record

ArticleJournal of the American Medical Directors Association2026

Coevolution of Cognitive and Health Trajectories Among US Older Adults With Cognitive Impairment.

Yifan Lou, Emma Zang, Yanjun Wu

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 authors.

Yifan LouSchool of Social Work, Virginia Commonwealth University, Richmond, VA, USA; Section of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA. Electronic address: louy@vcu.edu.
Emma ZangDepartment of Sociology, Yale University, New Haven, CT, USA.
Yanjun WuQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Interdisciplinary Network on Rural Population Health and AgingR24AG089064 · NIA · UNIVERSITY OF MINNESOTA · PI Carrie E Henning-Smith · 2024 to 2026
$1.2M
Linked Lives, Linked Health: Health Trajectories of Persons with Cognitive Impairment and Their Caregivers' HealthR21AG074238 · NIA · YALE UNIVERSITY · PI ZANG, EMMA · 2021 to 2022
$473k
NIA NIH HHS R21 AG074238NIA NIH HHS R24 AG089064NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

objectivesUnderstanding how multiple health aspects coevolve over time in persons with cognitive impairment is critical for clinical care, yet few studies have examined these dynamic interplays. This study investigated the relationship between perceived health status trajectories and cognitive trajectories in PCIs, providing novel insights into how broader health dynamics influence cognitive decline.

designThis is a secondary data analysis with a national representative sample of Medicare beneficiaries in the United States. SETTING AND

participantsData were from 2569 persons with cognitive impairment in the 2011-2021 National Health and Aging Trends Survey.

methodsBayesian dual-trajectory modeling was used to identify distinct trajectories of perceived health and cognition. We examined their sociodemographic and health correlates of each trajectory. Conditional probabilities were estimated to determine how belonging to a specific health status trajectory group influences the likelihood of being in a particular cognitive trajectory group.

resultsWe identified 5 distinct trajectory groups for health status and cognition. Most participants (73%) exhibited high- to medium-baseline health with stable or moderate decline, 14.2% experienced sharp decline after a high baseline, and 12.9% started low with moderate decline. For cognition, 69.2% showed high-to-medium initial levels with stable or slight decline, 23.6% showed moderate decline, and 7.2% had a low and stable trajectory. Respondents with the most favorable health status trajectories were more likely to have the best cognitive trajectory, whereas those with sharp declining health status experienced worse cognition, despite higher baseline health levels. CONCLUSIONS AND IMPLICATIONS: Stable health trajectories are strongly linked to better cognitive outcomes, whereas sharp health declines predict poorer cognition. Our findings highlight the interconnected biological and behavioral pathways through which health changes may accelerate or mitigate cognitive deterioration, offering insights for targeted interventions and holistic care for persons with cognitive impairment.

Indexed as

Cognitive DysfunctionHealth StatusAgedAged, 80 and overBayes TheoremFemaleHumansMaleMedicareSecondary Data AnalysisUnited StatesCognitiondementiagroup-based trajectory modelsmild cognitive impairmentself-rated health

Identifiers

PMID41871834
PMCPMC13061511

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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.