TY - JOUR
T1 - Assessment of gait kinetics in post-menopausal women using tri-axial ankle accelerometers during barefoot walking
AU - Madansingh, Stefan I.
AU - Murphree, Dennis H.
AU - Kaufman, Kenton R.
AU - Fortune, Emma
N1 - Funding Information:
Funding for this project was provided by the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery and the National Institutes of Health ( R21 AR066643 ).
Funding Information:
Research reported in this publication was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under Award Number R21 AR066643 and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Subject recruitment and data collection were performed by Stacy Loushin and Christine Huyber from the Mayo Clinic Motion Analysis Lab.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/3
Y1 - 2019/3
N2 - Background: Physical activity (PA) interventions, designed to increase exposure to ground reaction force (GRF) loading, are a common target for reducing fracture risk in post-menopausal women with low bone mineral density (BMD). Unfortunately, accurate tracking of PA in free-living environments and the ability to translate this activity into evaluations of bone health is currently limited. Research question: This study evaluates the effectiveness of ankle-worn accelerometers to estimate the vertical GRFs responsible for bone and joint loading in post-menopausal women at a range of self-selected walking speeds during barefoot walking. Methods: Seventy women, at least one year post-menopause, wore Actigraph GT3X + on both ankles and completed walking trials at self-selected speeds (a minimum of five each at fast, normal and slow walking) along a 30 m instrumented walkway with force plates and photocells to measure loading and estimate gait velocity. Repeated measures correlation analysis and step-wise mixed-effects modelling were performed to evaluate significant predictors of peak vertical GRFs normalized to body weight (pVGRFbw), including peak vertical ankle accelerations (pVacc), walking velocity (Vel w ) and age. Results: A strong repeated measures correlation of r = 0.75 (95%CI [0.71-0.76] via 1000 bootstrap passes) between pVacc and pVGRFbw was observed. Five-fold cross-validation of mixed-model predictions yielded an average mean-absolute-error (MAE[95%CI]) and root-mean-square-error (RMSE) rate of 5.98%[5.61–6.42] and 0.076 [0.069-0.082] with a more complex model (including Vel w, ) and 6.80%[6.37–7.54] and 0.087BW[0.081-0.095] with a simpler model (including only pVacc), when comparing accelerometer-based estimations of pVGRFbw to force plate measures of pVGRFbw. Age was not found to be significant. Significance: This study is the first to show a strong relationship among ankle accelerometry data and high fidelity lower-limb loading approximations in post-menopausal women. The results provide the first steps necessary for estimation of real-world limb and joint loading supporting the goals of accurate PA tracking and improved individualization of clinical interventions.
AB - Background: Physical activity (PA) interventions, designed to increase exposure to ground reaction force (GRF) loading, are a common target for reducing fracture risk in post-menopausal women with low bone mineral density (BMD). Unfortunately, accurate tracking of PA in free-living environments and the ability to translate this activity into evaluations of bone health is currently limited. Research question: This study evaluates the effectiveness of ankle-worn accelerometers to estimate the vertical GRFs responsible for bone and joint loading in post-menopausal women at a range of self-selected walking speeds during barefoot walking. Methods: Seventy women, at least one year post-menopause, wore Actigraph GT3X + on both ankles and completed walking trials at self-selected speeds (a minimum of five each at fast, normal and slow walking) along a 30 m instrumented walkway with force plates and photocells to measure loading and estimate gait velocity. Repeated measures correlation analysis and step-wise mixed-effects modelling were performed to evaluate significant predictors of peak vertical GRFs normalized to body weight (pVGRFbw), including peak vertical ankle accelerations (pVacc), walking velocity (Vel w ) and age. Results: A strong repeated measures correlation of r = 0.75 (95%CI [0.71-0.76] via 1000 bootstrap passes) between pVacc and pVGRFbw was observed. Five-fold cross-validation of mixed-model predictions yielded an average mean-absolute-error (MAE[95%CI]) and root-mean-square-error (RMSE) rate of 5.98%[5.61–6.42] and 0.076 [0.069-0.082] with a more complex model (including Vel w, ) and 6.80%[6.37–7.54] and 0.087BW[0.081-0.095] with a simpler model (including only pVacc), when comparing accelerometer-based estimations of pVGRFbw to force plate measures of pVGRFbw. Age was not found to be significant. Significance: This study is the first to show a strong relationship among ankle accelerometry data and high fidelity lower-limb loading approximations in post-menopausal women. The results provide the first steps necessary for estimation of real-world limb and joint loading supporting the goals of accurate PA tracking and improved individualization of clinical interventions.
KW - Accelerometer
KW - Ground reaction force
KW - Modeling
KW - Post-menopausal
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U2 - 10.1016/j.gaitpost.2019.01.021
DO - 10.1016/j.gaitpost.2019.01.021
M3 - Article
C2 - 30682643
AN - SCOPUS:85060259517
SN - 0966-6362
VL - 69
SP - 85
EP - 90
JO - Gait and Posture
JF - Gait and Posture
ER -