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Mechanical loading prediction through accelerometry data during walking and running.
Veras, Lucas; Diniz-Sousa, Florêncio; Boppre, Giorjines; Resende-Coelho, Ana; Moutinho-Ribeiro, Edgar; Devezas, Vítor; Santos-Sousa, Hugo; Preto, John; Vilas-Boas, João Paulo; Machado, Leandro; Oliveira, José; Fonseca, Hélder.
  • Veras L; Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal.
  • Diniz-Sousa F; Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
  • Boppre G; Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal.
  • Resende-Coelho A; Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
  • Moutinho-Ribeiro E; Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal.
  • Devezas V; Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
  • Santos-Sousa H; Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal.
  • Preto J; Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
  • Vilas-Boas JP; Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal.
  • Machado L; Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.
  • Oliveira J; Obesity Integrated Responsability Unity (CRIO), São João Academic Medical Center, Porto, Portugal.
  • Fonseca H; Obesity Integrated Responsability Unity (CRIO), São João Academic Medical Center, Porto, Portugal.
Eur J Sport Sci ; 23(8): 1518-1527, 2023 Aug.
Article en En | MEDLINE | ID: mdl-35838070
Peak ground reaction forces can be accurately predicted through raw accelerometry data.These predictions are valid for a broad range of body masses and for ankle, lower back and hip accelerometer placements.Peak loading rate prediction presented lower accuracy compared with peak ground reaction force prediction.These findings result in a simple method to predict mechanical loading in clinical practice, which is relevant in some areas of sports medicine such as bone health and injury prevention.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Carrera / Caminata Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Carrera / Caminata Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2023 Tipo del documento: Article