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Physical clinical care and artificial-intelligence-guided core resistance training improve endurance and patient-reported outcomes in subjects with lower back pain.
Bates, Nathaniel A; Huffman, Allison; Goodyear, Evelyn; Nagai, Takashi; Rigamonti, Luca; Breuer, Logan; Holmes, Benjamin D; Schilaty, Nathan D.
Afiliação
  • Bates NA; Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Division of Sports Medicine, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA. Electronic address: Nathaniel.Bates@osumc.edu.
  • Huffman A; The Ohio State University School of Medicine, Columbus, OH, USA.
  • Goodyear E; The Ohio State University School of Medicine, Columbus, OH, USA.
  • Nagai T; Division of Sports Medicine, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; United States Army Research Institute of Environmental Medicine, Natick, MA, United States of America.
  • Rigamonti L; Division of Sports Medicine, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Department of Orthopedic Surgery, Policlinico San Pietro, Ponte San Pietro, Italy.
  • Breuer L; Division of Sports Medicine, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Holmes BD; Spine Center, Mayo Clinic, Rochester, MN, USA.
  • Schilaty ND; Division of Sports Medicine, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Department of Neurosurgery & Brain Repair, University of South Florida, Tampa, FL, USA; Center for Neuromusculoskeletal Research, University of South Florida, Tampa, FL, USA.
Clin Biomech (Bristol, Avon) ; 103: 105902, 2023 03.
Article em En | MEDLINE | ID: mdl-36805199
BACKGROUND: Low back pain is an extremely prevalent issue with an extensive impact, ranging from decreased quality of life to lost years of productivity. Many interventions have been developed to alleviate chronic lower back pain, yet it remains a widespread problem. The objective of this study was to examine the role of artificial intelligence guided resistance training relative to clinical variables in subjects experiencing lower back pain. METHODS: 69 out of 108 enrolled and 92 accrued subjects completed the 8-week intervention. Subjects were randomized into four groups (Control, Training, Clinical, or Combined). The Training cohort received supervised artificial-intelligence-guided core-focused resistance training while the Clinical group received clinical care. The Combined group received both clinical care and artificial-intelligence-guided training and the Control group received no treatment. Participants were evaluated using functional testing and patient-reported outcomes at baseline, 4 weeks, and 8 weeks. FINDINGS: In the clinical tests, the Clinical and Combined cohorts showed increased total time for isometric extensor endurance and the Clinical cohort increased total distance traveled in the 6-min walk test at 8 weeks. The Training, Clinical, and Combined groups showed improvements in Patient-reported outcomes after 8 weeks. Most of the significant improvements were only seen at the 8-week evaluation for both the clinical evaluations and Patient-reported outcomes. The Control group did not show significant improvements in any outcome measures. INTERPRETATION: The present data indicate that core-focused interventions, including artificial-intelligence-guided moderate-resistance exercise, can increase objective functional outcomes and patient satisfaction using Patient-reported outcomes in individuals with lower back pain.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Lombar / Treinamento Resistido Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Revista: Clin Biomech (Bristol, Avon) Assunto da revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Lombar / Treinamento Resistido Tipo de estudo: Clinical_trials Limite: Humans Idioma: En Revista: Clin Biomech (Bristol, Avon) Assunto da revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Ano de publicação: 2023 Tipo de documento: Article