Evidence map›Paper›PMID 31941440›Full record

ArticleBMC geriatrics2020

The importance of different frailty domains in a population based sample in England.

Solveig A Arnadottir, Julie Bruce, Ranjit Lall, Emma J Withers, Martin Underwood, Fiona Shaw, Ray Sheridan, Anower Hossain, Sarah E Lamb, Pre-FIT Study Group

Open access · goldAbstract 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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Solveig A ArnadottirDepartment of Physical Therapy, Faculty of Medicine, University of Iceland, Stapi v/Hringbraut, 101, Reykjavik, Iceland. saa@hi.is.ORCID 0000-0002-3017-113X
Julie BruceWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Ranjit LallWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Emma J WithersWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Martin UnderwoodWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Fiona ShawOlder Peoples Medicine, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Freeman Road, High Heaton, Newcastle upon Tyne, NE7 7DN, UK.
Ray SheridanGeriatric Medicine, Royal Devon and Exeter NHS Foundation Trust, Barrack Road, Exeter, Devon, EX2 5DW, UK.
Anower HossainInstitute of Statistical Research and Training (ISRT), University of Dhaka, Dhaka, Bangladesh.
Sarah E LambWarwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Pre-FIT Study Group
University of Warwick · GBUniversity of Dhaka · BDUniversity of Iceland · ISNewcastle upon Tyne Hospitals NHS Foundation Trust · GBNuffield Orthopaedic Centre · GBRoyal Devon & Exeter NHS Foundation Trust · GB

Funding

Department of Health 08/14/41Health Technology Assessment Programme Project number 08/14/41
6 · The paper itself

Abstract

backgroundThe aim was to estimate the prevalence of frailty and relative contribution of physical/balance, nutritive, cognitive and sensory frailty to important adverse health states (falls, physical activity levels, outdoor mobility, problems in self-care or usual activities, and lack of energy or accomplishment) in an English cohort by age and sex.

methodsAnalysis of baseline data from a cohort of 9803 community-dwelling participants in a clinical trial. The sample was drawn from a random selection of all people aged 70 or more registered with 63 general practices across England. Data were collected by postal questionnaire. Frailty was measured with the Strawbridge questionnaire. We used cross sectional, multivariate logistic regression to estimate the association between frailty domains and known correlates and adjusted for age. Some models were stratified by sex.

resultsMean age of participants was 78 years (sd 5.7), range 70 to 101 and 47.5% (4653/9803) were men. The prevalence of overall frailty was 20.7% (2005/9671) and there was no difference in prevalence by sex (Odds Ratio 0.98; 95% Confidence Interval 0.89 to 1.08). Sensory frailty was the most common and this was reported by more men (1823/4586) than women (1469/5056; Odds Ratio for sensory frailty 0.62, 95% Confidence Interval 0.57 to 0.68). Men were less likely than women to have physical or nutritive frailty. Physical frailty had the strongest independent associations with adverse health states. However, sensory frailty was independently associated with falls, less frequent walking, problems in self-care and usual activities, lack of energy and accomplishment.

conclusionsPhysical frailty was more strongly associated with adverse health states, but sensory frailty was much more common. The health gain from intervention for sensory frailty in England is likely to be substantial, particularly for older men. Sensory frailty should be explored further as an important target of intervention to improve health outcomes for older people both at clinical and population level.

trial registrationISRCTN71002650.

Indexed as

Frail ElderlyFrailtyIndependent LivingAgedAged, 80 and overCross-Sectional StudiesEnglandFemaleGeriatric AssessmentHumansMaleAgingFrailtyHearingPopulation characteristicsSensationVision

Identifiers

PMID31941440
PMCPMC6964085
OpenAlexW3003535221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.