Functional continuum stratifies fall risk in older adults

Gait 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. The 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. At 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). FC 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.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2025-11-26
DOI
https://doi.org/10.1186/s12877-025-06805-9
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional continuum stratifies fall risk in older adults

Xiaoxi Hu, Mingbo Sun, Hui Zhang, Xiaoyan Jiang et al.
BMC Geriatrics
Balance, Gait, and Falls Prevention
article

Functional continuum stratifies fall risk in older adults

Xiaoxi Hu, Mingbo Sun, Hui Zhang, Xiaoyan Jiang, Xiaoru Sun, Xiaofeng Wang
article en

Abstract

Gait 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. The 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. At 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). FC 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.

BMC GeriatricsVol. 25(1)
Shandong University (CN), Shanghai Jiao Tong University (CN), Fudan University (CN), Shanghai East Hospital (CN), Institute of Aging (CA), Huashan Hospital (CN), State Key Laboratory of Cardiovascular Disease
Openalex Percentile: Top 46%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.