Evidence map›Paper›PMID 38087208›Full record

ArticleBMC geriatrics2023

Frailty, cognitive impairment, and depressive symptoms in Chinese older adults: an eight-year multi-trajectory analysis.

Yiyang Yuan, Changmin Peng, Jeffrey A Burr, Kate L Lapane

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 4 pooled it
14.3field-weighted citation impact, top 1% of its field
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

70 citing papers in PubMed, 4 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Global Prevalence of Cognitive Frailty in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis.Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists · 2026
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  16. The relationship between pain catastrophizing and cognitive frailty in patients with lumbar disc herniation mediated by sleep quality: the regulatory effect of emotions- a retrospective study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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10 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Yiyang YuanDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, 01605, Worcester, MA, USA. yiyang.yuan@umassmed.edu.
Changmin PengDepartment of Gerontology, University of Massachusetts Boston, Boston, MA, USA.
Jeffrey A BurrDepartment of Gerontology, University of Massachusetts Boston, Boston, MA, USA.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, 01605, Worcester, MA, USA.
University of Massachusetts Boston · USUniversity of Massachusetts Chan Medical School · US

Funding

Concurrent trajectories of physical frailty and cognitive impairment among nursing home residents and community-dwelling older adultsK00AG068591 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YUAN, YIYANG · 2022 to 2025
$357k
NIA NIH HHS 4K00AG068591-03NIA NIH HHS K00 AG068591
6 · The paper itself

Abstract

backgroundFrailty, cognitive impairment, and depressive symptoms are closely interrelated conditions in the aging population. However, limited research has longitudinally analyzed the concurrent trajectories of these three prominent conditions in older adults in China. This study aimed to explore the eight-year trajectories of frailty, cognitive impairment, and depressive symptoms, and to identify individual-level and structural-level factors associated with the trajectories.

methodsFour waves of data from the China Health and Retirement Longitudinal Study (2011-2018) were used to identify 6,106 eligible older adults. The main measures included frailty by the frailty index constructed using 30 indicators, cognitive impairment by the summary score of immediate and delayed word recall, figure drawing, serial subtraction, and orientation, and depressive symptoms by the Center for Epidemiologic Studies Depression Scale. Multi-trajectory models identified the trajectories of frailty, cognitive impairment, and depressive symptoms over time. Multinomial logistic regression was employed to estimate the associations between individual-level capital factors and one structural factor (hukou and geographic residency) with the identified trajectories, adjusting for demographic characteristics.

resultsFour trajectories emerged: (1) worsening frailty, worsening cognitive impairment, depression (14.0%); (2) declining pre-frailty, declining cognition, borderline depression (20.0%); (3) pre-frailty, worsening cognitive impairment, no depression (29.3%); and (4) physically robust, declining cognition, no depression (36.7%). Using the "physically robust, declining cognition, no depression" as the reference, not working, no social activity participant, worse childhood family financial situation, and poorer adult health were most strongly associated with the "worsening frailty, worsening cognitive impairment, depression" trajectory; worse health during childhood had the highest association with the "declining pre-frailty, declining cognition, borderline depression" trajectory; less education, lower household consumption, and rural hukou had the greatest association with the increased likelihood of the "pre-frailty, worsening cognitive impairment, no depression" trajectory.

conclusionsFindings could inform the understanding of the interrelationship of frailty, cognitive impairment, and depressive symptoms in older adults in China and may help practitioners detect adults at risk for adverse trajectories to implement strategies for proper care.

Indexed as

Cognitive DysfunctionFrailtyAgedChinaCognitionDepressionHumansLongitudinal StudiesCHARLSCognitive healthFinancial capitalHealth capitalHuman capitalMental healthMulti-trajectory modelPhysical frailtySocial capital

Identifiers

PMID38087208
PMCPMC10717397
OpenAlexW4389615693

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.