Age Related Differences in Neck Muscle Mechanics and Its Implications on Head Impact During Falls

Introduction.Previous studies have shown that older adults are more likely to experience head impact when they fall and thus are at greater risk for Traumatic Brain Injury (TBI).We hypothesized older adults would exhibit reduced Sternocleidomastoid (SCM) muscle crosssectional area (CSA), weaker neck flexor strength, and higher frequency of head impacts during falls.Methods.This study analyzed data from 8 young adults (YA, 18-30 years) and 10 older adults (OA, 65+ years), consisting of qualitative head impact videos and quantitative muscle strength measurements.ANOVA analysis of YA + Low Risk, YA + High Risk, OA + Low Risk, OA + High Risk groups was used to evaluate possible differences among groups.Results.6/10 tested older adults experienced head impact during falls, compared to 1/8 young adults, indicating a significantly higher rate in OA.Ultrasound imaging showed an age-related increase in SCM echogenicity, suggesting muscular degeneration.Older adults in the low-risk group had significantly decreased anterior neck flexion force, while lateral flexion remained unchanged across all groups.Flexion in the left and right directions remained the same.Conclusions.This study confirms that older adults are more likely to experience head impact during falls.Decreased SCM echogenicity in older adults suggested age-related degeneration of muscular properties, which potentially relates to this increased head impact.However, neck flexion strength differences were inconsistent, as significant reductions were seen only in lowrisk older adult group.Future research is needed to clarify findings and implications for fall prevention and TBI risk reduction in aging populations.

Authors

Publication Details

Journal
Kansas Journal of Medicine
Published
2025-09-15
DOI
https://doi.org/10.17161/kjm.vol18.24469
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age Related Differences in Neck Muscle Mechanics and Its Implications on Head Impact During Falls

Erin M. Wolfe
Kansas Journal of Medicine
Automotive and Human Injury Biomechanics
article

Age Related Differences in Neck Muscle Mechanics and Its Implications on Head Impact During Falls

Erin M. Wolfe
article en

Abstract

Introduction.Previous studies have shown that older adults are more likely to experience head impact when they fall and thus are at greater risk for Traumatic Brain Injury (TBI).We hypothesized older adults would exhibit reduced Sternocleidomastoid (SCM) muscle crosssectional area (CSA), weaker neck flexor strength, and higher frequency of head impacts during falls.Methods.This study analyzed data from 8 young adults (YA, 18-30 years) and 10 older adults (OA, 65+ years), consisting of qualitative head impact videos and quantitative muscle strength measurements.ANOVA analysis of YA + Low Risk, YA + High Risk, OA + Low Risk, OA + High Risk groups was used to evaluate possible differences among groups.Results.6/10 tested older adults experienced head impact during falls, compared to 1/8 young adults, indicating a significantly higher rate in OA.Ultrasound imaging showed an age-related increase in SCM echogenicity, suggesting muscular degeneration.Older adults in the low-risk group had significantly decreased anterior neck flexion force, while lateral flexion remained unchanged across all groups.Flexion in the left and right directions remained the same.Conclusions.This study confirms that older adults are more likely to experience head impact during falls.Decreased SCM echogenicity in older adults suggested age-related degeneration of muscular properties, which potentially relates to this increased head impact.However, neck flexion strength differences were inconsistent, as significant reductions were seen only in lowrisk older adult group.Future research is needed to clarify findings and implications for fall prevention and TBI risk reduction in aging populations.

Kansas Journal of MedicineVol. 18(S3)
Openalex Percentile: Top 64%
Automotive and Human Injury Biomechanics
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.