Evidence map›Paper›PMID 36703138›Full record

ArticleBMC geriatrics2023

Frailty trajectories and associated factors in the years prior to death: evidence from 14 countries in the Survey of Health, Aging and Retirement in Europe.

Natalie D Jenkins, Miles Welstead, Lucy Stirland, Emiel O Hoogendijk, Joshua J Armstrong, Annie Robitaille, Graciela Muniz-Terrera

Abstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Observational
  5. Article
  6. Article
  7. A Bayesian Structural Equation Model to Predict Quality of Life in European Older Adults.European journal of investigation in health, psychology and education · 2025
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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

7 authors.

Natalie D JenkinsEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, Scotland.
Miles WelsteadEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, Scotland. miles.welstead@ed.ac.uk.
Lucy StirlandEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, Scotland.
Emiel O HoogendijkDepartment of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, Amsterdam, the Netherlands.
Joshua J ArmstrongDepartment of Health Sciences, Lakehead University, Thunder Bay, ON, Canada.
Annie RobitailleFaculty of Health Sciences, University of Ottawa, Ottawa, Canada.
Graciela Muniz-TerreraEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, Scotland.

Funding

Study Coordination and Measurement CoreP01AG043362 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HOFER, SCOTT M. · 2013 to 2017
$7.8M
Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
Age UK MR/M01311/1Chief Scientist Office PCL/20/01CIHR 103284Medical Research Council MR/J000914/1MRF MR/J000914/1MRF_ C0396Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek 91618067NIA NIH HHS HHSN271201300071CNIA NIH HHS P01 AG043362NIA NIH HHS R01 AG067621
6 · The paper itself

Abstract

backgroundAge-related changes in frailty have been documented in the literature. However, the evidence regarding changes in frailty prior to death is scarce. Understanding patterns of frailty progression as individuals approach death could inform care and potentially lead to interventions to improve individual's well-being at the end of life. In this paper, we estimate the progression of frailty in the years prior to death.

methodsUsing data from 8,317 deceased participants of the Survey of Health, Ageing, and Retirement in Europe, we derived a 56-item Frailty Index. In a coordinated analysis of repeated measures of the frailty index in 14 countries, we fitted growth curve models to estimate trajectories of frailty as a function of distance to death controlling both the level and rate of frailty progression for age, sex, years to death and dementia diagnosis.

resultsAcross all countries, frailty before death progressed linearly. In 12 of the 14 countries included in our analyses, women had higher levels of frailty close to the time of death, although they progressed at a slower rate than men (e.g. Switzerland (-0.008, SE = 0.003) and Spain (-0.004, SE = 0.002)). Older age at the time of death and incident dementia were associated with higher levels and increased rate of change in frailty, whilst higher education was associated with lower levels of frailty in the year preceding death (e.g. Denmark (0.000, SE = 0.001)).

conclusionThe progression of frailty before death was linear. Our results suggest that interventions aimed at slowing frailty progression may need to be different for men and women. Further longitudinal research on individual patterns and changes of frailty is warranted to support the development of personalized care pathways at the end of life.

Indexed as

FrailtyAgedDeathDementiaEuropeFemaleFrail ElderlyHealth SurveysHumansMaleRisk FactorsAge-related changesEnd of life careFrailty trajectoriesLongitudinal dataMortality

Identifiers

PMID36703138
PMCPMC9881297

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Registered trials

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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.