The role of dominant handgrip strength in fall occurrence possibility and frequency

Falls are a major cause of morbidity, disability, and healthcare burden among older adults in China, and handgrip strength is widely recognized as a physiological marker of fall risk. Existing studies have largely examined the impact of risk factors on the probability of falling, while overlooking fall frequency, which is critical because repeated falls account for most serious injuries and deaths. This study examines the association between handgrip strength and both fall occurrence and fall frequency using pooled cross-sectional data from the China Health and Retirement Longitudinal Study, estimated with a two-part model and heterogeneity analyses by gender, age, and region. The main contribution lies in jointly quantifying the association between handgrip strength and both fall probability and fall frequency within one framework, addressing the literature’s narrow focus on fall occurrence and limited consideration of heterogeneity. Results indicate that higher handgrip strength is associated with reduced fall probability and fewer falls, particularly among men, adults under 85 years, and residents of eastern provinces. Based on these findings, policymakers should expand community-based strength training, improve access to rehabilitation, and integrate routine handgrip strength screening into primary care, with fiscal resources allocated to specific populations and regions to ensure efficient use.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-04-15
DOI
https://doi.org/10.1186/s12889-026-26670-4
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

The role of dominant handgrip strength in fall occurrence possibility and frequency

Xuyang Du, Conghui Bai, Hualin Wei
BMC Public Health
Balance, Gait, and Falls Prevention
article

The role of dominant handgrip strength in fall occurrence possibility and frequency

Xuyang Du, Conghui Bai, Hualin Wei
article en

Abstract

Falls are a major cause of morbidity, disability, and healthcare burden among older adults in China, and handgrip strength is widely recognized as a physiological marker of fall risk. Existing studies have largely examined the impact of risk factors on the probability of falling, while overlooking fall frequency, which is critical because repeated falls account for most serious injuries and deaths. This study examines the association between handgrip strength and both fall occurrence and fall frequency using pooled cross-sectional data from the China Health and Retirement Longitudinal Study, estimated with a two-part model and heterogeneity analyses by gender, age, and region. The main contribution lies in jointly quantifying the association between handgrip strength and both fall probability and fall frequency within one framework, addressing the literature’s narrow focus on fall occurrence and limited consideration of heterogeneity. Results indicate that higher handgrip strength is associated with reduced fall probability and fewer falls, particularly among men, adults under 85 years, and residents of eastern provinces. Based on these findings, policymakers should expand community-based strength training, improve access to rehabilitation, and integrate routine handgrip strength screening into primary care, with fiscal resources allocated to specific populations and regions to ensure efficient use.

BMC Public Health
Hebei General Hospital (CN), Taishan University (CN), Heilongjiang University (CN)
Openalex Percentile: Top 4%
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.