Evidence map›Paper›PMID 35796976›Full record

ArticleAging clinical and experimental research2022

The association between fatigue severity and risk of falls among middle-aged and older Australian stroke survivors.

David Sibbritt, Jessica Bayes, Wenbo Peng, Jane Maguire, Suzy Ladanyi, Jon Adams

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

David SibbrittSchool of Public Health, Faculty of Health, University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.ORCID http://orcid.org/0000-0003-3561-9447
Jessica BayesSchool of Public Health, Faculty of Health, University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia. Jessica.bayes@yahoo.com.ORCID http://orcid.org/0000-0003-0601-6129
Wenbo PengSchool of Public Health, Faculty of Health, University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.ORCID http://orcid.org/0000-0001-9747-2466
Jane MaguireSchool of Nursing and Midwifery, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0001-5722-8311
Suzy LadanyiSchool of Nursing and Midwifery, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0001-7516-0760
Jon AdamsSchool of Public Health, Faculty of Health, University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.ORCID http://orcid.org/0000-0002-9901-5717
University of Technology Sydney · AU

Funding

Australian Research Council FT140100195
6 · The paper itself

Abstract

backgroundFatigue is a common and often debilitating symptom experienced by many stroke survivors. Significant post stroke fatigue may predispose individuals to other health complications, such as falls, which can lead to fractures and soft tissue injuries. Only limited research has examined the association between fatigue and falls in stroke survivors.

methodsData were obtained from the Sax Institute's 45 and Up Study, from a subset of individuals who had experienced a stroke. The Modified Fatigue Impact Scale-5-item version (MFIS-5) was used to measure the level of fatigue. A logistic regression model, adjusted for stroke characteristics and comorbidities, was used to determine the magnitude of association between change in fatigue score and odds of having had a fall.

resultsA total of 576 participants completed the questionnaire. A total of 214 (37.2%) participants reported having had a fall in the previous 12 months. There was a statistically significant association between fatigue scores and fall status (p < 0.001). Specifically, for every 1-point increase in the fatigue score (MFIS-5) (i.e. higher level of fatigue), the odds of a person having a fall is 1.10 times greater (AOR = 1.10; 95% CI 1.05, 1.15; p < 0.001).

conclusionThis study revealed an association between an increasing risk of falls with increasing severity of post stroke fatigue. Accurate detection and management of fatigue may help reduce the risk of falls and should be the focus of future research.

Indexed as

StrokeStroke RehabilitationAccidental FallsAgedAustraliaFatigueHumansMiddle AgedSurvivorsFallsFatigueRehabilitationStroke

Identifiers

PMID35796976
PMCPMC9637598
OpenAlexW4284670850

What OpenQuestion holds

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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.