Evidence map›Paper›PMID 42191669›Full record

ArticleThe Gerontologist2026

Unravelling cognitive frailty: perceptions, misconceptions, and the path to prevention.

Gerda Prakopimaite, Magdalena Pfaff, Eddy J Davelaar, Lisa Quadt, Malgorzata Raczek, Naji Tabet, Alan J Gow, Carol Holland, Dorina Cadar

Abstract read
In one paragraph

Article in The Gerontologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

9 authors.

Gerda PrakopimaiteCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0009-0008-1194-3481
Magdalena PfaffCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0009-0006-2386-7936
Eddy J DavelaarCentre for Cognition, Computation and Modelling, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom.ORCID 0000-0003-1722-0221
Lisa QuadtCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0000-0002-5896-916X
Malgorzata RaczekCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0000-0001-9507-3293
Naji TabetCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0000-0003-4629-6196
Alan J GowThe Ageing Lab, Department of Psychology and Centre for Applied Behavioural Sciences, Heriot-Watt University, Edinburgh, United Kingdom.ORCID 0000-0002-3320-4531
Carol HollandCentre for Ageing Research, Faculty of Health and Medicine, Lancaster University, Lancashire, United Kingdom.ORCID 0000-0001-7109-6554
Dorina CadarCEDAR Lab, Centre for Dementia Studies, Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Sussex, United Kingdom.ORCID 0000-0003-1398-5841

Funding

Cognitive Frailty Interdisciplinary NetworkUnited Kingdom Research and Innovation-Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAs populations age, extending healthy life expectancy and reducing morbidity are priorities. Cognitive frailty, the co-occurrence of cognitive impairment and physical frailty without dementia, may offer a window for prevention. However, there is limited evidence on how cognitive frailty is understood, which may undermine recognition and risk reduction. This study provides new insights into how cognitive frailty is conceptualized across public and professional contexts by exploring perceptions, causes, and risk factors of cognitive frailty to inform public health and clinical practice. RESEARCH DESIGN AND

methodsWe conducted 22 semi-structured interviews with members of the public and healthcare professionals. Interviews examined perceived definitions, symptoms, and risk factors. Data were analyzed using reflexive thematic analysis.

resultsThree analytic domains were identified: conceptualizations, manifestations, and risk factors. Participants often conflated cognitive frailty with cognitive impairment or described it as an early stage of dementia. The physical frailty aspect was under-recognized, particularly among public participants. When presented with the international definition, many reframed cognitive frailty as a transitional and potentially preventable state. Healthcare professionals articulated broader symptom profiles and more integrated risk frameworks, whereas the public emphasized observable physical change. Across both groups, mood changes, social withdrawal, and unhealthy lifestyle were viewed as central risks, though their interplay was described with varying detail. DISCUSSION AND IMPLICATIONS: Inconsistent understanding of cognitive frailty may hinder early recognition and prevention. Clearer operational definitions, supportive policy, and targeted education are needed to strengthen detection, risk reduction, and intervention strategies that protect independence in later life.

Indexed as

Cognitive DysfunctionFrail ElderlyFrailtyAgedAged, 80 and overDementiaFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRisk FactorsAge in placeDementiaFrailty

Identifiers

PMID42191669
PMCPMC13329062

What OpenQuestion holds

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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.