Physical performance trajectories and mortality among nursing home residents: results of the SENIOR cohort.


Journal

Age and ageing
ISSN: 1468-2834
Titre abrégé: Age Ageing
Pays: England
ID NLM: 0375655

Informations de publication

Date de publication:
24 08 2020
Historique:
received: 16 10 2019
pubmed: 18 3 2020
medline: 29 7 2021
entrez: 18 3 2020
Statut: ppublish

Résumé

Previous studies have shown that older people can experience a considerable change in their physical performance (PP) over time. To identify PP trajectories and their association with mortality among nursing home residents who were followed up for 3 years. Three-year longitudinal observational study. Subjects of the SENIOR cohort. Six hundred and four nursing home residents with a mean age of 82.9 ± 9.1 years. Baseline characteristics and the date of death were collected from the medical records. PP was assessed annually by the short physical performance battery (SPPB) test. Multiple imputations were performed to manage the missing data. PP trajectory groups were estimated using latent growth curve analysis. Cox proportional hazard regression models were applied to examine the risk of mortality according to the PP trajectory groups. Three PP trajectory groups were identified: slow decline (N = 96), moderate decline (N = 234) and fast decline (N = 274). After adjustments for potential confounding variables and the baseline SPPB scores, the residents in the fast decline and moderate decline trajectory groups had an increased risk of mortality compared to those in the slow decline trajectory group, with hazard ratio values of 1.78 (95% confidence interval [CI] = 1.34-2.26) and 1.37 (95% CI = 1.10-1.66), respectively. PP trajectories provide value-added information to baseline geriatric assessments and could be used for predicting 3-year mortality among nursing home residents. It may be important to regularly monitor the SPPB score and signal an alert when a fast decline in PP is detected in older people.

Sections du résumé

BACKGROUND
Previous studies have shown that older people can experience a considerable change in their physical performance (PP) over time.
OBJECTIVES
To identify PP trajectories and their association with mortality among nursing home residents who were followed up for 3 years.
DESIGN
Three-year longitudinal observational study.
SETTING
Subjects of the SENIOR cohort.
SUBJECTS
Six hundred and four nursing home residents with a mean age of 82.9 ± 9.1 years.
METHODS
Baseline characteristics and the date of death were collected from the medical records. PP was assessed annually by the short physical performance battery (SPPB) test. Multiple imputations were performed to manage the missing data. PP trajectory groups were estimated using latent growth curve analysis. Cox proportional hazard regression models were applied to examine the risk of mortality according to the PP trajectory groups.
RESULTS
Three PP trajectory groups were identified: slow decline (N = 96), moderate decline (N = 234) and fast decline (N = 274). After adjustments for potential confounding variables and the baseline SPPB scores, the residents in the fast decline and moderate decline trajectory groups had an increased risk of mortality compared to those in the slow decline trajectory group, with hazard ratio values of 1.78 (95% confidence interval [CI] = 1.34-2.26) and 1.37 (95% CI = 1.10-1.66), respectively.
CONCLUSIONS
PP trajectories provide value-added information to baseline geriatric assessments and could be used for predicting 3-year mortality among nursing home residents. It may be important to regularly monitor the SPPB score and signal an alert when a fast decline in PP is detected in older people.

Identifiants

pubmed: 32179907
pii: 5770855
doi: 10.1093/ageing/afaa034
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

800-806

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Alexia Charles (A)

Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.

Johann Detilleux (J)

Department of Quantitative Genetics, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium.

Fanny Buckinx (F)

Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.

Jean-Yves Reginster (JY)

Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.

Bastien Gruslin (B)

Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.

Olivier Bruyère (O)

Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Ageing, University of Liège, Liège, Belgium.
Department of Sport and Rehabilitation Sciences, University of Liège, Liège, Belgium.

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