Evidence map›Paper›PMID 32143634›Full record

ArticleBMC geriatrics2020

Pre-frailty factors in community-dwelling 40-75 year olds: opportunities for successful ageing.

S J Gordon, N Baker, M Kidd, A Maeder, K A Grimmer

Registry-linked trialAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07180147 (Arlington Longitudinal Optimal Healthy Aging Study), which is not on this map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 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.

NCT07180147 active not recruitingnot on this mapstarted 2025, after this paper: background citation

Arlington Longitudinal Optimal Healthy Aging Study (ALOHA)

TypeobservationalSponsorMarymount UniversityRan2025 to 2031Enrolled500ConditionsAlzheimer Disease (AD), Cardio Vascular Disease, Mild Cognitive Impairment (MCI), Frailty Syndrome
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

S J GordonCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, 5005, Australia. Sue.gordon@flinders.edu.au.ORCID 0000-0002-4760-1212
N BakerCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, 5005, Australia.
M KiddSouthgate Institute for Health, Society and Equity, Flinders University, Adelaide, South Australia, 5005, Australia.
A MaederDigital Health Research Centre, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, 5005, Australia.
K A GrimmerCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, 5005, Australia.

Funding

EPIDEMIOLOGY--ALCOHOL, DRUG ABUSE, AND MENTAL DISORDERSR01MH046376 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, RONALD C · 1989 to 2000
$744k
PATTERNS AND PREDICTORS OF USE OF MENTAL HEALTH SERVICESR01MH049098 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, RONALD C · 1992 to 1994
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CLINICAL BRAIN IMAGINGZ01MH000507 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI COHEN, ROBERT MARTIN · 1985 to 2005
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Intramural NIH HHS Z01 MH000507NIMH NIH HHS R01 MH046376NIMH NIH HHS R01 MH049098
6 · The paper itself

Abstract

backgroundThere is little known about pre-frailty attributes or when changes which contribute to frailty might be detectable and amenable to change. This study explores pre-frailty and frailty in independent community-dwelling adults aged 40-75 years.

methodsParticipants were recruited through local council networks, a national bank and one university in Adelaide, Australia. Fried frailty phenotype scores were calculated from measures of unintentional weight loss, exhaustion, low physical activity levels, poor hand grip strength and slow walking speed. Participants were identified as not frail (no phenotypes), pre-frail (one or two phenotypes) or frail (three or more phenotypes). Factor analysis was applied to binary forms of 25 published frailty measures Differences were tested in mean factor scores between the three Fried frailty phenotypes and ROC curves estimated predictive capacity of factors.

resultsOf 656 participants (67% female; mean age 59.9 years, SD 10.6) 59.2% were classified as not frail, 39.0% pre-frail and 1.8% frail. There were no gender or age differences. Seven frailty factors were identified, incorporating all 25 frailty measures. Factors 1 and 7 significantly predicted progression from not-frail to pre-frail (Factor 1 AUC 0.64 (95%CI 0.60-0.68, combined dynamic trunk stability and lower limb functional strength, balance, foot sensation, hearing, lean muscle mass and low BMI; Factor 7 AUC 0.55 (95%CI 0.52-0.59) comprising continence and nutrition. Factors 3 and 4 significantly predicted progression from pre-frail to frail (Factor 3 AUC 0.65 (95% CI 0.59-0.70)), combining living alone, sleep quality, depression and anxiety, and lung function; Factor 4 AUC 0.60 (95%CI 0.54-0.66) comprising perceived exertion on exercise, and falls history.

conclusionsThis research identified pre-frailty and frailty states in people aged in their 40s and 50s. Pre-frailty in body systems performance can be detected by a range of mutable measures, and interventions to prevent progression to frailty could be commenced from the fourth decade of life.

Indexed as

AgingIndependent LivingAdultAgedAustraliaCross-Sectional StudiesFemaleFrail ElderlyFrailtyGeriatric AssessmentHand StrengthHumansMaleMiddle AgedAgedFrailtyHealthy agingMiddle agedPrefrailty

Identifiers

PMID32143634
PMCPMC7060633

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.