Evidence map›Paper›PMID 41464496›Full record

ReviewInternational journal of environmental research and public health2025

What to Know About Falls in Older Adults? Risk Factors, Predictors, and Therapeutic Interventions.

Fernanda Bueno Pilastri, Julia Fantim Lopez, Eric Nkansah Boateng, Nise Ribeiro Marques

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Associations of video head impulse test and computerized dynamic posturography with self-reported falls and postural control in people with diabetes: an exploratory cross-sectional study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  2. Article
  3. Fall Prevention and Geriatric Nursing.Healthcare (Basel, Switzerland) · 2026
    Article
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

4 authors.

Fernanda Bueno PilastriFaculty of Philosophy and Science, São Paulo State University, São Paulo 17525-900, Brazil.
Julia Fantim LopezFaculty of Philosophy and Science, São Paulo State University, São Paulo 17525-900, Brazil.
Eric Nkansah BoatengSchool of Enginnering, Lovely Professional University, Jalandhar 144411, India.
Nise Ribeiro MarquesFaculty of Philosophy and Science, São Paulo State University, São Paulo 17525-900, Brazil.ORCID 0000-0003-4977-4755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately one quarter of community-dwelling older adults experience at least one fall each year. Falls can result in soft tissue injuries, fractures, or even death. Given this high prevalence, it is essential to identify fall-related risk factors, develop predictive models, and prescribe effective exercise-based interventions to prevent falls.

objectiveTo analyze risk factors, predictors, and therapeutic interventions for falls in older adults.

methodsA literature search was conducted in SCIELO, PUBMED, and PEDro databases between 15-20 October 2025. Inclusion criteria comprised peer-reviewed, open-access studies in English published from 2020 onward. Findings were categorized into three domains: (1) fall risk factors, (2) predictive models, and (3) exercise-based interventions. Twenty studies met the inclusion criteria.

resultsFalls among older adults arise from multifactorial interactions involving physical, clinical, cognitive, and social factors such as impaired mobility, comorbidities, polypharmacy, and cognitive decline. Lower-limb strength and functional performance are key determinants of fall risk. Current predictive models show limited accuracy, with fall history as the strongest predictor. Exercise-based interventions, particularly multicomponent and home-based programs, improve balance, strength, and mobility but show variable effects on fall rates. The absence of standardized parameters for exercise prescription limits the development of evidence-based guidelines.

conclusionsFalls in older adults are multifactorial events influenced by physical and cognitive decline. Predictive models remain imprecise, and although exercise interventions improve functional outcomes, their impact on reducing falls is inconsistent. Standardized exercise protocols are needed to optimize fall prevention strategies.

Indexed as

Accidental FallsAgedAged, 80 and overExerciseHumansRisk Factorsgerontologyphysical therapyprevention

Identifiers

PMID41464496
PMCPMC12732333

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.