Evidence map›Paper›PMID 31476096›Full record

ArticleHealth & social care in the community2020

Falls in community-dwelling prefrail older adults.

Hiroyuki Umegaki, Taeko Makino, Kazuki Uemura, Hiroyuki Shimada, Xian Wu Cheng, Hiroko Dodge, Masafumi Kuzuya

Open access · bronzeAbstract read
In one paragraph

Article in Health & social care in the community, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Frailty in Pulmonary Arterial Hypertension: A Cohort Study.Annals of the American Thoracic Society · 2026
    Article
  4. Article
  5. 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

7 authors at 5 institutions in 2 countries.

Hiroyuki UmegakiDepartment of Community Healthcare & Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan.ORCID 0000-0003-2504-4133
Taeko MakinoInstitute of Innovation for Future Society, Nagoya University, Aichi, Japan.
Kazuki UemuraLiberal Arts and Sciences, Faculty of Engineering, Toyama Prefectural University, Toyama, Japan.
Hiroyuki ShimadaDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan.
Xian Wu ChengInstitute of Innovation for Future Society, Nagoya University, Aichi, Japan.
Hiroko DodgeDepartment of Neurology, Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor, MI, USA.
Masafumi KuzuyaDepartment of Community Healthcare & Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan.
Nagoya Future Culture College · JPNagoya University · JPNational Center for Geriatrics and Gerontology · JPToyama Prefectural University · JPUniversity of Michigan · US

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Zachary Beattie · 2020 to 2026
$28.6M
Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOUGLAS C NOLL · 2021 to 2026
$26.5M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2016 to 2020
$10.1M
NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG072931
6 · The paper itself

Abstract

Frailty has been established as a risk factor for falls, and prefrailty also seems a risk; however, few studies have focused on the association between falls and each of the five components of frailty proposed by Fried. In the present study, we sought to elucidate the association between prefrailty and falls, and moreover, the association of frailty component with falls. Participants were community-dwelling older people who had cognitive complaints but not dementia (N = 447, male 54.6%). Prefrailty was defined as exhibiting one or two of the five Fried criteria. Frail individuals were excluded. Background characteristics were compared between the prefrail and robust groups, and multiple regression analysis was performed to investigate the associations between fall history within the past year and factors that were significantly different between the groups. We also performed logistic regression analysis with adjustment for age, education and gender to assess associations with frailty components. We found that prefrailty was associated with fall history. Depressed mood was also significantly associated with fall history. Among the five frailty criteria, exhaustion was significantly associated with falls. Prefrailty, especially the criteria of exhaustion, and depressed mood were associated with fall history.

Indexed as

Independent LivingAccidental FallsAgedAged, 80 and overCognitive DysfunctionFemaleFrail ElderlyGeriatric AssessmentHumansLogistic ModelsMaleMental HealthRisk Factorsdepressionexhaustionfallgait speedprefrailty

Identifiers

PMID31476096
PMCPMC8594949
OpenAlexW2971418245

What OpenQuestion holds

Textmetadata
LicenceTDM
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.