Evidence map›Paper›PMID 41299367›Full record

ArticleBMC geriatrics2025

Functional continuum stratifies fall risk in older adults.

Mengzhen Sun, Xiaoxi Hu, Xiaoru Sun, Hui Zhang, Xiaofeng Wang, Xiaoyan Jiang

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Mengzhen SunHuman Phenome Institute and MOE Key Laboratory of Contemporary Anthropology, School of Life Science, Fudan University, Shanghai, China.
Xiaoxi HuState Key Laboratory of Genetic Engineering, School of Life Sciences & Human Phenome Institute, Fudan University, Shanghai, China.
Xiaoru SunInstitute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Hui ZhangHuman Phenome Institute and MOE Key Laboratory of Contemporary Anthropology, School of Life Science, Fudan University, Shanghai, China.
Xiaofeng WangHuman Phenome Institute and MOE Key Laboratory of Contemporary Anthropology, School of Life Science, Fudan University, Shanghai, China.
Xiaoyan JiangState Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. xiaoyanjiang001@163.com.

Funding

National Natural Science Foundation of China-Youth Science Fund 82301768Project supported by Shanghai Municipal Science and Technology Major Project 2023SHZDZX02Shanghai Municipal Health Commission 202340287
6 · The paper itself

Abstract

objectivesGait speed is a validated indicator of fall risk (Grade 1 A). However, accurate prevention requires comprehensive stratification indicators. The Functional Continuum (FC), which encompasses the full range of functional changes, shows promise for stratifying fall risk.

methodsThe study included 4,949 and 5,259 individuals from the National Health and Aging Trends Study (NHATS) wave 1 as the discovery sample, and 2,649 and 2,749 newly recruited individuals from wave 5 as the independent validation sample for the gait speed and FC analyses, respectively.

resultsAt baseline, 19.2% of participants exhibited low gait speed; over follow-up, 66.2% sustained an incident fall. In the FC cohort, baseline distributions for levels 0–3 were 35.0%, 24.9%, 21.0%, and 19.1%, respectively, with 67.7% sustaining an incident fall. Both gait speed and FC function effectively stratified fall risk, with FC showing a significant dose-effect on fall risk. After adjusting for confounders, older adults with low gait speed had an increased fall risk (hazard ratio [HR]: 1.50, 95% confidence interval [CI]: 1.31, 1.71). The worse the FC, the higher the fall risk (Level 1: HR: 1.20, 95% CI: 1.06, 1.36; Level 2: HR: 1.63, 95% CI: 1.43, 1.87; Level 3: HR: 1.80, 95% CI: 1.54, 2.09).

conclusionsFC stratified fall risk into low-, medium-, and high-risk levels, offering a comprehensive, tiered framework for guiding prevention—from general exercise and monitoring in low-risk individuals to intensive measures in higher-risk groups. These findings highlight the potential utility of FC for optimizing resource allocation in fall prevention strategies.

Indexed as

Accidental FallsGeriatric AssessmentWalking SpeedAgedAged, 80 and overCohort StudiesFemaleHumansMaleRisk AssessmentRisk FactorsFallFunctional continuumOlder adultsStratification

Identifiers

PMID41299367
PMCPMC12751965

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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.