Evidence map›Paper›PMID 39674921›Full record

ArticleStress and health : journal of the International Society for the Investigation of Stress2025

Does Allostatic Load in 50-89-Year-Olds Predict the Development of Frailty? Evidence From a National Longitudinal Study Over 12 Years.

Marco Arkesteijn, Rachel Bennett, Jennifer L Davies, Rachel C Sumner

Abstract read
In one paragraph

Article in Stress and health : journal of the International Society for the Investigation of Stress, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Marco ArkesteijnDepartment of Life Sciences, Aberystwyth University, Aberystwyth, UK.ORCID https://orcid.org/0000-0001-6762-844X
Rachel BennettEducation and Applied Sciences, University of Gloucestershire, Cheltenham, UK.
Jennifer L DaviesSchool of Healthcare Sciences, Cardiff University, Cardiff, UK.
Rachel C SumnerGlobal Academy of Health and Human Performance, Cardiff Metropolitan University, Cardiff, UK.ORCID https://orcid.org/0000-0002-2421-7146

Funding

Welsh Crucible
6 · The paper itself

Abstract

Frailty is characterised by a loss of function across several domains but is not an inevitable aspect of ageing and can be reversed with intervention. Determining those who are more likely to become frail before physical deficits become manifest will allow earlier intervention. One promising indicator of the potential for frailty is allostatic load, a physiological status associated with prolonged stress that is, characterised by multisystem dysfunction. Previous research has sought to understand the links between allostatic load and frailty, but has not yet explored whether allostatic load may be a predictive factor at younger ages and-if so-at what age it may be predictive. The present study sets out establish whether allostatic load can be used as a predictive indicator of frailty. Using the English Longitudinal Survey on Ageing (ELSA) data with an anticipated sample of 1500 people between 50 and 89 years old, time series analysis will determine if, and at what age, allostatic load may be predictive of pre-frailty and frailty. The findings of these analyses may be supportive of early identification of frailty by establishing an age at which a diagnostic test for allostatic load may prove a critical indicator for future frailty.

Indexed as

AgingAllostasisFrail ElderlyFrailtyAgedAged, 80 and overEnglandFemaleHumansLongitudinal StudiesMaleMiddle Agedageing populationsallostatic overloadhealthy ageingregistered report

Identifiers

PMID39674921
PMCPMC11878747

What OpenQuestion holds

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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.