Evidence map›Paper›PMID 37444131›Full record

ArticleInternational journal of environmental research and public health2023

Older People Living Alone: A Predictive Model of Fall Risk.

Isabel Lage, Fátima Braga, Manuela Almendra, Filipe Meneses, Laetitia Teixeira, Odete Araújo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mechanisms of prostatic inflammation-mediated male lower urinary tract symptoms.American journal of clinical and experimental urology · 2025
    Review
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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 4 institutions in 1 country.

Isabel LageSchool of Nursing, University of Minho, 4710-057 Braga, Portugal.
Fátima BragaSchool of Nursing, University of Minho, 4710-057 Braga, Portugal.
Manuela AlmendraSchool of Nursing, University of Minho, 4710-057 Braga, Portugal.
Filipe MenesesSchool of Engineering, University of Minho, 4710-057 Braga, Portugal.
Laetitia TeixeiraICBAS, University of Porto, 4050-313 Porto, Portugal.
Odete AraújoSchool of Nursing, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-9016-9528
University of Minho · PTCentro de Computação Gráfica · PTEscola Superior de Enfermagem de Coimbra · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls in older people are a result of a combination of multiple risk factors. There are few studies involving predictive models in a community context. The aim of this study was to determine the validation of a new model for predicting fall risk in older adults (65+) living alone in community dwellings (n = 186; n = 117) with a test-retest reliability study. We consider in the predictive model the significant factors emerged from the bivariate analysis: age, zone, social community resources, physical exercise, self-perception of health, difficulty to keep standing, difficulty to sit and get up from a chair, strain to see, use of technical devices, hypertension and number of medications. The final model explained 28.5% of the risk of falling in older adults living alone in community dwellings. The AUC = 0.660 (se = 0.065, IC 95% 0.533-0.787,

Indexed as

ExerciseHome EnvironmentAgedHumansIndependent LivingReproducibility of Resultsfalls predictionliving alonenursingolder peoplerisk of falling

Identifiers

PMID37444131
PMCPMC10341723
OpenAlexW4383069169

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.