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- Title
Accelerometer-based prediction of skeletal mechanical loading during walking in normal weight to severely obese subjects.
- Authors
Veras, L.; Diniz-Sousa, F.; Boppre, G.; Devezas, V.; Santos-Sousa, H.; Preto, J.; Vilas-Boas, J. P.; Machado, L.; Oliveira, J.; Fonseca, H.
- Abstract
Summary: There is no objective way to monitor mechanical loading characteristics during exercise for bone health improvement. We developed accelerometry-based equations to predict ground reaction force (GRF) and loading rate (LR) in normal weight to severely obese subjects. Equations developed had a high and moderate accuracy for GRF and LR prediction, respectively, thereby representing an accessible way to determine mechanical loading characteristics in clinical settings. Introduction: There is no way to objectively prescribe and monitor exercise for bone health improvement in obese patients based on mechanical loading characteristics. We aimed to develop accelerometry-based equations to predict peak ground reaction forces (pGRFs) and peak loading rate (pLR) on normal weight to severely obese subjects. Methods: Sixty-four subjects (45 females; 84.6 ± 21.7 kg) walked at different speeds (2–6 km·h−1) on a force plate–equipped treadmill while wearing accelerometers at lower back and hip. Regression equations were developed to predict pGRF and pLR from accelerometry data. Leave-one-out cross-validation was used to calculate prediction accuracy and Bland–Altman plots. Actual and predicted values at different speeds were compared by repeated measures ANOVA. Results: Body mass and peak acceleration were included for pGRF prediction and body mass and peak acceleration transient rate for pLR prediction. All pGRF equation coefficients of determination were above 0.89, a good agreement between actual and predicted pGRFs, with a mean absolute percent error (MAPE) below 6.7%. No significant differences were observed between actual and predicted pGRFs at each walking speed. Accuracy indices from our equations were better than previously developed equations for normal weight subjects, namely a MAPE approximately 3 times smaller. All pLR prediction equations presented a lower accuracy compared to those developed to predict pGRF. Conclusion: Walking pGRF and pLR in normal weight to severely obese subjects can be predicted with moderate to high accuracy by accelerometry-based equations, representing an easy and accessible way to determine mechanical loading characteristics in clinical settings.
- Subjects
HIP joint physiology; BACK physiology; PHYSIOLOGICAL effects of acceleration; ACCELEROMETERS; ANALYSIS of variance; BODY weight; GROUND reaction forces (Biomechanics); OBESITY; REGRESSION analysis; TREADMILLS; PHYSIOLOGIC strain; PREDICTIVE validity; REPEATED measures design; WEIGHT-bearing (Orthopedics); WALKING speed
- Publication
Osteoporosis International, 2020, Vol 31, Issue 7, p1239
- ISSN
0937-941X
- Publication type
Article
- DOI
10.1007/s00198-020-05295-2