Your browser doesn't support javascript.
loading
Frailty or frailties: exploring frailty index subdimensions in the English Longitudinal Study of Ageing.
Johnson, Lara; Guthrie, Bruce; Kelly, Paul A T; Anand, Atul; Marshall, Alan; Seth, Sohan.
Afiliación
  • Johnson L; The University of Edinburgh School of Engineering, Edinburgh, UK.
  • Guthrie B; Advanced Care Research Centre, University of Edinburgh, Edinburgh, UK.
  • Kelly PAT; Advanced Care Research Centre, University of Edinburgh, Edinburgh, UK.
  • Anand A; The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
  • Marshall A; Advanced Care Research Centre, University of Edinburgh, Edinburgh, UK.
  • Seth S; Advanced Care Research Centre, University of Edinburgh, Edinburgh, UK.
J Epidemiol Community Health ; 78(10): 609-615, 2024 Aug 25.
Article en En | MEDLINE | ID: mdl-39043577
ABSTRACT

BACKGROUND:

Frailty, a state of increased vulnerability to adverse health outcomes, has garnered significant attention in research and clinical practice. Existing constructs aggregate clinical features or health deficits into a single score. While simple and interpretable, this approach may overlook the complexity of frailty and not capture the full range of variation between individuals.

METHODS:

Exploratory factor analysis was used to infer latent dimensions of a frailty index constructed using survey data from the English Longitudinal Study of Ageing, wave 9. The dataset included 58 self-reported health deficits in a representative sample of community-dwelling adults aged 65+ (N=4971). Deficits encompassed chronic disease, general health status, mobility, independence with activities of daily living, psychological well-being, memory and cognition. Multiple linear regression examined associations with CASP-19 quality of life scores.

RESULTS:

Factor analysis revealed four frailty subdimensions. Based on the component deficits with the highest loading values, these factors were labelled 'mobility impairment and physical morbidity', 'difficulties in daily activities', 'mental health' and 'disorientation in time'. The four subdimensions were a better predictor of quality of life than frailty index scores.

CONCLUSIONS:

Distinct subdimensions of frailty can be identified from standard index scores. A decomposed approach to understanding frailty has a potential to provide a more nuanced understanding of an individual's state of health across multiple deficits.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Actividades Cotidianas / Evaluación Geriátrica / Anciano Frágil / Fragilidad Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J Epidemiol Community Health Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Actividades Cotidianas / Evaluación Geriátrica / Anciano Frágil / Fragilidad Límite: Aged / Aged80 / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J Epidemiol Community Health Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido