Evidence map›Paper›PMID 42313702›Full record

ArticleGerontology2026

Sex Differences in the Development of a Multidimensional Fall Risk Index for Older Adults.

Alexandra G Hammond, Sarah E Schwartz, Gail B Rattinger, David A E Bolton, Christopher M Warren, Mikaela A Drewel, Ken R Smith, JoAnn T Tschanz

Abstract read
In one paragraph

Article in Gerontology, 2026. 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
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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

8 authors.

Alexandra G HammondPsychology, Utah State University, Logan, Utah, USA.
Sarah E SchwartzPsychology, Utah State University, Logan, Utah, USA.
Gail B RattingerDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Binghamton University, New York, New York, USA.
David A E BoltonKinesiology and Health Science, Utah State University, Logan, Utah, USA.
Christopher M WarrenPsychology, Utah State University, Logan, Utah, USA.
Mikaela A DrewelPsychology, Utah State University, Logan, Utah, USA.
Ken R SmithFamily and Consumer Studies, University of Utah, Salt Lake City, Utah, USA.
JoAnn T TschanzPsychology, Utah State University, Logan, Utah, USA, joann.tschanz@usu.edu.

Funding

EPIDEMIOLOGY OF DEMENTIA IN CACHE COUNTY, UTAHR01AG011380 · NIA · JOHNS HOPKINS UNIVERSITY · PI WELSH-BOHMER, KATHLEEN ANNE · 1994 to 2009
$12.2M
The Utah Study of Fertility, Longevity and AgingR01AG022095 · NIA · UNIVERSITY OF UTAH · PI SMITH, KEN R · 2003 to 2015
$9.4M
THE CACHE COUNTY FAMILY BASED COHORT STUDY ON AGINGR01AG018712 · NIA · UTAH STATE UNIVERSITY · PI MUNGER, RONALD G · 2000 to 2002
$2.0M
NIA NIH HHS R01 AG011380NIA NIH HHS R01 AG018712NIA NIH HHS R01 AG022095
6 · The paper itself

Abstract

introductionMultiple factors predict falls among older adults, yet most screening tools are unidimensional and ignore sex differences despite higher fall occurrence among females. Understanding sex differences in the risks and occurrence of falls is critical to inform clinical decision-making. Using extant data from a population-based study, we developed and validated separate, fall indexes by sex based on the relationship between multiple, intrinsic risk factors for falls.

methodsTwo thousand, eight hundred fifty-seven individuals (57% females) comprised the test set, and 1,428 individuals comprised the validation set. Cox proportional hazards regression determined the weights for each significant risk factor in predicting incident falls, which subsequently comprised each fall index.

resultsTraditional fall risk factors were largely confirmed for females and males, except that underweight BMI and use of fall-risk-inducing drugs discriminated future fallers from non-fallers among females only. The multidimensional index predicted fall risk such that for every one-point increase on the index, there was a 2.5-fold increased hazard of experiencing a future fall among females (HR = 2.47, 95% CI [2.08-2.93], p < 0.001), and a 77% increase among males (HR = 1.77, 95% CI [1.56-2.02], p < 0.001). Classification accuracy (percentage of correct predictions out of all predictions) was 69% for females at 1-year post-baseline and 67% for males, increasing to 74% at 5 years and 79% at 10 years post-baseline for both females and males.

conclusionSignificant sex differences in fall risk factors were identified. Sex-specific measures may improve clinical screenings and guide tailored interventions.

Indexed as

AgingFall risk factorsFallsMultidimensional fall indexPolypharmacy

Identifiers

PMID42313702
PMCPMC13384224

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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.