Evidence map›Paper›PMID 40189221›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Multitrajectories of Frailty and Depression With Cognitive Function: Findings From the Health and Retirement Longitudinal Study.

Chengxiang Hu, Xiaoyue Sun, Zhirong Li, Yue He, Beibei Han, Zibo Wu, Siyu Liu, Lina Jin

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  3. Association of frailty trajectories with osteoporosis and hip fracture in an older female population.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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

8 authors.

Chengxiang HuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Xiaoyue SunDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Zhirong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Yue HeDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Beibei HanDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Zibo WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Siyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Lina JinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Funding

Natural Science Foundation of Science and Technology Department of Jilin Province, China 20240101308JC
6 · The paper itself

Abstract

backgroundLittle is known about the joint associations between trajectories of frailty and depression with cognitive function. This study aims to explore the multitrajectories of frailty and depression and their joint impact on cognition.

methodsA total of 8600 participants from the Health and Retirement Study (HRS) (1996-2018) were analysed using a group-based trajectory model for 10-year multitrajectories. Participants were classified into five groups based on their trajectories. Multivariable linear mixed models and Cox proportional hazards models were utilized.

resultsCompared with Group 1 (stable robust and nondepressed), Groups 2 ('worsening prefrailty without depression,' β = -0.022 SD/year), 3 ('stable prefrailty with escalating depressive symptoms,' β = -0.016 SD/year), 4 ('increasing frailty alongside worsening depressive symptoms,' β = -0.034 SD/year) and 5 ('high and escalating frailty with persistent depression,' β = -0.055 SD/year) exhibited accelerated cognitive decline. Dementia risk was significantly higher in G2 (HR = 1.26, 95% CI: 1.08-1.48), G3 (HR = 1.54, 95% CI: 1.31-1.80), G4 (HR = 1.81, 95% CI: 1.54-2.14) and G5 (HR = 1.86, 95% CI: 1.48-2.33) compared with G1.

conclusionsWorsening frailty and depression accelerate cognitive decline and risk of dementia, underscoring the need to address both conditions to mitigate cognition.

Indexed as

CognitionCognitive DysfunctionDepressionFrailtyAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedRetirementcognitive declinecohort studydepressionfrailtymultitrajectory

Identifiers

PMID40189221
PMCPMC11972689

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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.