Associations between physical frailty and dementia incidence: a prospective study from UK Biobank.


Journal

The lancet. Healthy longevity
ISSN: 2666-7568
Titre abrégé: Lancet Healthy Longev
Pays: England
ID NLM: 101773309

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 16 07 2020
revised: 20 08 2020
accepted: 21 08 2020
entrez: 12 9 2022
pubmed: 1 11 2020
medline: 1 11 2020
Statut: ppublish

Résumé

Dementia is associated with a high burden of dependency and disability. Physical frailty (hereafter referred to as frailty) is a multisystem dysregulation that has been identified as a risk factor for dementia. The aim of this study was to examine the association of frailty and its individual components with all-cause dementia incidence in a cohort of UK adults. Participants in UK Biobank with data available for dementia incidence and without any form of dementia at baseline were included in this prospective study. Frailty was defined using a modified version of the frailty phenotype based on five individual components (weight loss, tiredness, physical activity, gait speed, and grip strength), with participants classified as pre-frail if they fulfilled one or two criteria or frail if they fulfilled three or more. Associations between frailty and dementia incidence were investigated using Cox proportional hazard models adjusted for sociodemographic factors, lifestyle factors, and morbidity count. The population attributable fraction was also estimated. Of 502 535 participants in UK Biobank, 143 215 met the inclusion criteria and were included in our analyses. 68 500 (47·8%) of the participants were pre-frail and 5565 (3·9%) were frail. During a median follow-up period of 5·4 years, 726 individuals developed dementia. Compared with non-frail individuals, the risk of dementia incidence was increased for individuals with pre-frailty (hazard ratio 1·21 [95% CI 1·04-1·42]) and frailty (1·98 [1·47-2·67]) in the fully adjusted model. Of the five components used to define frailty, weight loss (1·31 [1·09-1·58]), tiredness (1·48 [1·18-1·86]), low grip strength (1·38 [1·17-1·63]), and slow gait speed (1·55 [1·22-1·96]) were independently associated with incident dementia. Based on population attributable fraction analyses, in the study sample, pre-frailty and frailty accounted for 9·9% and 8·6% of dementia cases, respectively. Individuals with pre-frailty and frailty were at a higher risk of dementia incidence even after adjusting for a wide range of confounding factors. Early detection and interventions for frailty could translate into prevention or delayed onset of dementia. None.

Sections du résumé

BACKGROUND BACKGROUND
Dementia is associated with a high burden of dependency and disability. Physical frailty (hereafter referred to as frailty) is a multisystem dysregulation that has been identified as a risk factor for dementia. The aim of this study was to examine the association of frailty and its individual components with all-cause dementia incidence in a cohort of UK adults.
METHODS METHODS
Participants in UK Biobank with data available for dementia incidence and without any form of dementia at baseline were included in this prospective study. Frailty was defined using a modified version of the frailty phenotype based on five individual components (weight loss, tiredness, physical activity, gait speed, and grip strength), with participants classified as pre-frail if they fulfilled one or two criteria or frail if they fulfilled three or more. Associations between frailty and dementia incidence were investigated using Cox proportional hazard models adjusted for sociodemographic factors, lifestyle factors, and morbidity count. The population attributable fraction was also estimated.
FINDINGS RESULTS
Of 502 535 participants in UK Biobank, 143 215 met the inclusion criteria and were included in our analyses. 68 500 (47·8%) of the participants were pre-frail and 5565 (3·9%) were frail. During a median follow-up period of 5·4 years, 726 individuals developed dementia. Compared with non-frail individuals, the risk of dementia incidence was increased for individuals with pre-frailty (hazard ratio 1·21 [95% CI 1·04-1·42]) and frailty (1·98 [1·47-2·67]) in the fully adjusted model. Of the five components used to define frailty, weight loss (1·31 [1·09-1·58]), tiredness (1·48 [1·18-1·86]), low grip strength (1·38 [1·17-1·63]), and slow gait speed (1·55 [1·22-1·96]) were independently associated with incident dementia. Based on population attributable fraction analyses, in the study sample, pre-frailty and frailty accounted for 9·9% and 8·6% of dementia cases, respectively.
INTERPRETATION CONCLUSIONS
Individuals with pre-frailty and frailty were at a higher risk of dementia incidence even after adjusting for a wide range of confounding factors. Early detection and interventions for frailty could translate into prevention or delayed onset of dementia.
FUNDING BACKGROUND
None.

Identifiants

pubmed: 36094146
pii: S2666-7568(20)30007-6
doi: 10.1016/S2666-7568(20)30007-6
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e58-e68

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Fanny Petermann-Rocha (F)

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Donald M Lyall (DM)

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Stuart R Gray (SR)

British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Irene Esteban-Cornejo (I)

PROFITH (Promoting Fitness and Health Through Physical Activity) Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.

Terence J Quinn (TJ)

British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

Frederick K Ho (FK)

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Jill P Pell (JP)

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Carlos Celis-Morales (C)

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK; Centre of Exercise Physiology Research (CIFE), Universidad Mayor, Santiago, Chile; Laboratorio de Rendimiento Humano, Grupo de Estudio en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca, Chile. Electronic address: carlos.celis@glasgow.ac.uk.

Classifications MeSH