Evidence map›Paper›PMID 40317383›Full record

ArticleBiogerontology2025

Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK Biobank.

Ali Hemadeh, Carlota Lema-Arranz, Stefano Bonassi, Leonardo Buscarini, Francesco Infarinato, Paola Romano, Alessia Finti, Franco Marinozzi, Fabiano Bini, Natalia Fernández-Bertólez and 4 more

Abstract read
In one paragraph

Article in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

14 authors.

Ali Hemadeh *Grupo DICOMOSA, Departamento de Psicología, CICA-Centro Interdisciplinar de Química e Bioloxía, Universidade da Coruña, A Coruña, Spain.
Carlota Lema-Arranz *Grupo DICOMOSA, Departamento de Psicología, CICA-Centro Interdisciplinar de Química e Bioloxía, Universidade da Coruña, A Coruña, Spain.
Stefano BonassiUnit of Clinical and Molecular Epidemiology, IRCCS San Raffaele Roma, Rome, Italy.
Leonardo BuscariniRehabilitation Bioengineering Laboratory, IRCCS San Raffaele Roma, Rome, Italy.
Francesco InfarinatoRehabilitation Bioengineering Laboratory, IRCCS San Raffaele Roma, Rome, Italy.
Paola RomanoRehabilitation Bioengineering Laboratory, IRCCS San Raffaele Roma, Rome, Italy.
Alessia FintiDepartment of Mechanical and Aerospace Engineering (DIMA), Sapienza University of Rome, Rome, Italy.
Franco MarinozziDepartment of Mechanical and Aerospace Engineering (DIMA), Sapienza University of Rome, Rome, Italy.
Fabiano BiniDepartment of Mechanical and Aerospace Engineering (DIMA), Sapienza University of Rome, Rome, Italy.
Natalia Fernández-BertólezInstituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
João Paulo TeixeiraEnvironmental Health Department, National Institute of Health Doutor Ricardo Jorge, Porto, Portugal.
Laura Lorenzo-LópezGerontology and Geriatrics Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña, A Coruña, Spain. laura.lorenzo.lopez@udc.es.
Vanessa Valdiglesias *Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, A Coruña, Spain.
Blanca Laffon *Grupo DICOMOSA, Departamento de Psicología, CICA-Centro Interdisciplinar de Química e Bioloxía, Universidade da Coruña, A Coruña, Spain.

Funding

Fundación San Rafael, Xunta de Galicia ED431B 2022/16Ministry of Education, Culture and Sport PRX19/00353Spanish Ministry of Science and Innovation: MCIN/AEI/10.13039/501100011033 PID2020-113788RB-I00
6 · The paper itself

Abstract

Frailty is a geriatric multidimensional syndrome characterized by a loss of physiologic reserves and disproportionate vulnerability to external stressors and associated with increased risk of multiple negative health outcomes. Since frailty can be prevented, controlled, and even reverted in its early stages, identifying the main factors involved in its development is crucial to implement preventive and/or restorative interventions. The aim of this study was to assess the impact of a broad range of parameters, including host factors, lifestyle, diet, and environmental and occupational conditions, on the development of frailty in later life. A cross-sectional study was conducted on 221,896 individuals aged 60 and over classified as non-frail (119,332, 53.8%), pre-frail (93,180, 42.0%), and frail (9384, 4.2%) according to the frailty phenotype. Using principal component analysis and machine learning to streamline the data, significant associations were found between frailty risk and air quality, diet, smoking, working conditions, and heavy alcohol consumption. Early-life factors, including breastfed as a baby and maternal smoking around birth, also emerged as predictors of frailty, which was further characterized by clinical indicators like polypharmacy, levels of C-reactive protein and other biomarkers of inflammageing. This study provided robust and original evidence on the association between a large battery of potential risk factors, from early to later stages of life, and the occurrence of frailty in older age. These results will contribute to the development of effective prevention strategies and facilitate the early detection of individuals at high risk of developing frailty.

Indexed as

EnvironmentFrail ElderlyFrailtyLife StyleAgedAged, 80 and overBiological Specimen BanksCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleMiddle AgedRisk FactorsUK BiobankUnited KingdomEnvironmentFrailtyLifestyleMachine learningPrincipal component analysis

Identifiers

PMID40317383
PMCPMC12049404

What OpenQuestion holds

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LicenceCC BY
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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.