Cited by 347Muscle activation and electromyography studiesBalance, Gait, and Falls PreventionLower Extremity Biomechanics and Pathologies

Differences in lower-extremity muscular activation during walking between healthy older and young adults

Open access
Schmitz, Anne, Silder, Amy, Heiderscheit, Bryan, Mahoney, Jane, Thelen, Darryl G.·2009·Journal of Electromyography and Kinesiology

Abstract

Previous studies have identified differences in gait kinetics between healthy older and young adults. However, the underlying factors that cause these changes are not well understood. The objective of this study was to assess the effects of age and speed on the activation of lower-extremity muscles during human walking. We recorded electromyography (EMG) signals of the soleus, gastrocnemius, biceps femoris, medial hamstrings, tibialis anterior, vastus lateralis, and rectus femoris as healthy young and older adults walked over ground at slow, preferred and fast walking speeds. Nineteen healthy older adults (age, 73+/-5 years) and 18 healthy young adults (age, 26+/-3 years) participated. Rectified EMG signals were normalized to mean activities over a gait cycle at the preferred speed, allowing for an assessment of how the activity was distributed over the gait cycle and modulated with speed. Compared to the young adults, the older adults exhibited greater activation of the tibialis anterior and soleus during mid-stance at all walking speeds and greater activation of the vastus lateralis and medial hamstrings during loading and mid-stance at the fast walking speed, suggesting increased coactivation across the ankle and knee. In addition, older adults depend less on soleus muscle activation to push off at faster walking speeds. We conclude that age-related changes in neuromuscular activity reflect a strategy of stiffening the limb during single support and likely contribute to reduced push off power at fast walking speeds.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jelekin.2008.10.008

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The finding of a strong association between body composition and mobility function in older women is consistent with prior cross-sectional studies and with studies showing improved walking performance after weight loss.

    “The finding of a strong association between body composition and mobility function in females is consistent with prior cross sectional studies 26, 27, as well as with studies showing improved walking performance after weight loss 28, 29.”

    From Does quadriceps neuromuscular activation capability explain walking speed in older men and women? (2014) · cites this paper as [28]

    The Introduction (page unavailable) links age-related loss of muscle mass to reduced strength and power and suggests this could diminish walking push-off power. It does not report a strong body-composition–mobility association specifically in older women or improved walking performance after weight loss; the Methods describe walking trials, not a weight-loss intervention. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 33 · Cited by 347

Authors
Schmitz, A., Silder, A., Heiderscheit, B., Mahoney, J., & Thelen, D. G.
Affiliations
University of Wisconsin–Madison (US)
Corresponding author
Thelen, Darryl G.
Venue
Journal of Electromyography and Kinesiology
Publisher
Elsevier BV
Published
2009-12
Volume
19
Issue
6
Pages
1085-1091
ISSN
1050-6411 (ISSN-L)
OpenAlex
W2165323288
Cited by
347
References
33
Citations by year
2026: 11 · 2025: 23 · 2024: 23 · 2023: 19 · 2022: 15 · 2021: 33 · 2020: 27 · 2019: 16 · 2018: 31 · 2017: 22 · 2016: 17 · 2015: 20 · 2014: 16 · 2013: 29 · 2012: 17
FWCI
6.19
Type
journal article
Language
en
Open access
Locations
  • Journal of Electromyography and Kinesiology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • University of Michigan
  • National Institute on Aging (AG24276, R21AG024276)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
  • Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
Keywords
aging, walking, lower limb muscle activity, walking speed, older adults, soleus muscle, tibialis anterior, vastus lateralis, medial hamstring, coactivation, gait cycle, single support, limb stiffness, electromyography
MeSH terms
Aged, Aging, Female, Gait, Humans, Leg, Male, Muscle Contraction, Walking, Muscle, Skeletal, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review