Evidence map›Paper›PMID 40846471›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

Development of a Modifiable Fall Risk Score for evaluating changes in fall risk over time.

Nicholas R Lamoureux, Philip M Dixon, Brian C Helsel, Gregory J Welk

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicholas R LamoureuxUniversity of Nebraska Kearney, Kearney, Nebraska, USA lamoureuxn@unk.edu.ORCID http://orcid.org/0000-0002-4870-8863
Philip M DixonIowa State University, Ames, Iowa, USA.
Brian C HelselInternal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID http://orcid.org/0000-0003-3362-3581
Gregory J WelkIowa State University, Ames, Iowa, USA.

Funding

Assessment of Physical Activity for Alzheimer's Disease Research in Down SyndromeK01AG083130 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Brian Helsel · 2023 to 2026
$501k
ACL HHS U01CE003490NCIPC CDC HHS U01 CE003490NIA NIH HHS K01 AG083130
6 · The paper itself

Abstract

backgroundAccurately estimating fall risk is a key aspect of community-based and clinical fall prevention programmes. Current methods predict 5-year fall risk for individuals. Since such methods include static characteristics (eg, demographics and history), they are less sensitive to changes in modifiable characteristics resulting from fall prevention programmes. This study describes the development and evaluation of a Modifiable Fall Risk Score (MFRS) designed to predict changes in risk using modifiable predictors.

methodsThe National Health and Aging Trends Study (NHATS) is a nationally representative longitudinal cohort of Medicare beneficiaries in the USA. Participants with at least two consecutive years of complete fall history and risk factor data were included in the development of MFRS to predict 1-year fall risk.

resultsData from 5789 individuals aged 65 and older were used to create 28 206 1 year, fall risk predictions. Weighted risk scores and thresholds accurately identified non-fallers (sensitivity=0.895, negative predictive value=0.803) and fallers (specificity=0.877, positive predictive value=0.576). Fall history did not interact with modifiable predictors, demonstrating functional changes impact risk independent of fall history. Age was not a significant predictor of risk, further highlighting the importance of function for fall prevention.

conclusionThe study provides novel insights into the assessment of fall risk and the importance of objective functional tests in risk estimation. The composite MRFS is suitable for estimating 1 year fall risk and changes in risk over time. The use of average- and high-risk thresholds offers advantages for fall risk screening.

Indexed as

FallOlder PeopleRisk Factor ResearchScreening

Identifiers

PMID40846471
PMCPMC12482968

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.