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Prediction of ground reaction forces while walking in water.
PLoS One 2019; 14(7):e0219673Plos

Abstract

Despite being a key concept in rehabilitation, controlling weight-bearing load while walking, following lower limb injury is very hard to achieve. Walking in water provides an opportunity to prescribe load for people who have pain, weakness or weight bearing restrictions related to stages of healing. The aim of this experimental study was to evaluate and validate regression models for predicting ground reaction forces while walking in water. One hundred and thirty seven individuals (24±5 years, 1.71±0.08 m and 68.7±12.5 kg) were randomly assigned to a regression group (n = 113) and a validation group (n = 24). Trials were performed at a randomly assigned water depth (0.75 to 1.35 m), and at a self-selected speed. Independent variables were: immersion ratio, velocity, body mass, and waist, thigh and leg circumferences. Stepwise regression was used for the prediction of ground reaction forces and validation included agreement and consistency statistical analyses. Data from a force plate were compared with predicted data from the created model in the validation group. Body mass, immersion ratio, and velocity independently predicted 95% of the vertical and resultant ground reaction force variability, while, together, velocity and thigh circumference explained 81% of antero-posterior ground reaction force variability. When tested against the data measured in validation samples, the models output resulted in statistically similar values, intraclass correlation coefficients ranging from 0.88 to 0.90 and standard errors of measurement, 11.8 to 42.3 N. The models introduced in this study showed good predictive performance in our evaluation procedures and may be considered valid in the prediction of vertical, antero-posterior and resultant ground reaction forces while walking in water. All predictive variables can be easily determined in clinical practice. Future studies should focus on the validation of these models in specific populations.

Authors+Show Affiliations

Department of Physiotherapy, Federal University of Santa Catarina, Araranguá, SC, Brazil.School of Biological Science, Federal University of Santa Catarina, Florianópolis, SC, Brazil.Health Science Unit University of Southern Santa Catarina, Criciúma, SC, Brazil.Aquatic Biomechanics Research Laboratory, Health and Sports Science Centre, University of the State of Santa Catarina, Florianópolis, SC, Brazil.Aquatic Biomechanics Research Laboratory, Health and Sports Science Centre, University of the State of Santa Catarina, Florianópolis, SC, Brazil.Aquatic Biomechanics Research Laboratory, Health and Sports Science Centre, University of the State of Santa Catarina, Florianópolis, SC, Brazil.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31318923

Citation

Haupenthal, Alessandro, et al. "Prediction of Ground Reaction Forces While Walking in Water." PloS One, vol. 14, no. 7, 2019, pp. e0219673.
Haupenthal A, Fontana HB, Haupenthal DPDS, et al. Prediction of ground reaction forces while walking in water. PLoS ONE. 2019;14(7):e0219673.
Haupenthal, A., Fontana, H. B., Haupenthal, D. P. D. S., Hubert, M., Roesler, H., & Ruschel, C. (2019). Prediction of ground reaction forces while walking in water. PloS One, 14(7), pp. e0219673. doi:10.1371/journal.pone.0219673.
Haupenthal A, et al. Prediction of Ground Reaction Forces While Walking in Water. PLoS ONE. 2019;14(7):e0219673. PubMed PMID: 31318923.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Prediction of ground reaction forces while walking in water. AU - Haupenthal,Alessandro, AU - Fontana,Heiliane de Brito, AU - Haupenthal,Daniela Pacheco Dos Santos, AU - Hubert,Marcel, AU - Roesler,Helio, AU - Ruschel,Caroline, Y1 - 2019/07/18/ PY - 2019/02/19/received PY - 2019/06/30/accepted PY - 2019/7/19/entrez PY - 2019/7/19/pubmed PY - 2019/7/19/medline SP - e0219673 EP - e0219673 JF - PloS one JO - PLoS ONE VL - 14 IS - 7 N2 - Despite being a key concept in rehabilitation, controlling weight-bearing load while walking, following lower limb injury is very hard to achieve. Walking in water provides an opportunity to prescribe load for people who have pain, weakness or weight bearing restrictions related to stages of healing. The aim of this experimental study was to evaluate and validate regression models for predicting ground reaction forces while walking in water. One hundred and thirty seven individuals (24±5 years, 1.71±0.08 m and 68.7±12.5 kg) were randomly assigned to a regression group (n = 113) and a validation group (n = 24). Trials were performed at a randomly assigned water depth (0.75 to 1.35 m), and at a self-selected speed. Independent variables were: immersion ratio, velocity, body mass, and waist, thigh and leg circumferences. Stepwise regression was used for the prediction of ground reaction forces and validation included agreement and consistency statistical analyses. Data from a force plate were compared with predicted data from the created model in the validation group. Body mass, immersion ratio, and velocity independently predicted 95% of the vertical and resultant ground reaction force variability, while, together, velocity and thigh circumference explained 81% of antero-posterior ground reaction force variability. When tested against the data measured in validation samples, the models output resulted in statistically similar values, intraclass correlation coefficients ranging from 0.88 to 0.90 and standard errors of measurement, 11.8 to 42.3 N. The models introduced in this study showed good predictive performance in our evaluation procedures and may be considered valid in the prediction of vertical, antero-posterior and resultant ground reaction forces while walking in water. All predictive variables can be easily determined in clinical practice. Future studies should focus on the validation of these models in specific populations. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/31318923/Prediction_of_ground_reaction_forces_while_walking_in_water L2 - http://dx.plos.org/10.1371/journal.pone.0219673 DB - PRIME DP - Unbound Medicine ER -