Evidence map›Paper›PMID 33825287›Full record

ArticleNursing & health sciences2021

Association of fear of falling with frailty in community-dwelling older adults: A cross-sectional study.

Yuan Qin, Junxin Li, Miranda McPhillips, Nada Lukkahatai, Fang Yu, Kun Li

Abstract read
In one paragraph

Article in Nursing & health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Yuan QinSchool of Nursing, Jilin University, Changchun, China.
Junxin LiJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Miranda McPhillipsUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.
Nada LukkahataiJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Fang YuEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-9399-1987
Kun LiSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-0976-2186

Funding

Multicomponent Behavioral Sleep Intervention for Insomnia in Older Adults with Mild Cognitive ImpairmentK23NR018487 · NINR · UNIVERSITY OF PENNSYLVANIA · PI MCPHILLIPS, MIRANDA VARRASSE · 2019 to 2021
$496k
NINR NIH HHS K23 NR018487
6 · The paper itself

Abstract

This study aimed to describe frailty and fear of falling and examine the cross-sectional association between frailty and fear of falling in community-dwelling older adults in China. We recruited 165 older adults from five selected communities in the five districts of Changchun, Jilin Province. Participants were asked to complete a demographic questionnaire, the Short Falls Efficacy Scale-International, and the Tilburg Frailty Indicator. We found that 60% of our participants were frail and that 81% reported a fear of falling. Using binary logistic regression, we found that the participants with fear of falling were 7.2 times more likely to be frail. These findings suggest that fear of falling should be regularly screened in clinical practice to help identify older adults with greater risks of frailty. Future longitudinal studies of larger sample size are needed to confirm the association. Moreover, frailty prevention programs that include strategies to reduce the fear of falling should be tested among community-dwelling older adults.

Indexed as

Accidental FallsFearFrail ElderlyFrailtyAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIndependent LivingMaleMiddle Agedchinacommunity-dwelling older adultsfallsfear of fallingfrailty

Identifiers

PMID33825287
PMCPMC8217326

What OpenQuestion holds

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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.