Three-Dimensional gait biomechanics in patients with mild knee osteoarthritis.

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Abstract

[Indexed for MEDLINE] Conflict of interest statement: Declarations. Competing interests: The authors declare no competing interests. Ethical approval and consent to participate: The project was approved by the Human Subject Committee of Guangzhou Sport University (NO: 2022LCLL-32). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Written informed consent was obtained from all participants for the publication of any potentially identifiable data included in this article. 12. Gait Posture. 2022 Jun;95:176-182. doi: 10.1016/j.gaitpost.2022.04.022. Epub 2022 Apr 27. Gait variability between younger and older adults: An equality of variance analysis. Kowalski E(1), Catelli DS(1), Lamontagne M(2). Author information: (1)Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada. (2)Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada; Department of Orthopedic Surgery, The Ottawa Hospital, Ottawa, ON, Canada. Electronic address: mlamon@uottawa.ca. BACKGROUND: To estimate gait variability, several methods have been routinely used which provide a measure of global variability. A recent study introduced a group waveform variability method which provides a point-by-point measurement of data variance equality. This can identify where in the gait cycle the significant differences in variability exist. RESEARCH QUESTION: Do waveform differences exist in equality of variance and group means in lower limb biomechanical variables between healthy younger and older adults during a gait task? METHODS: Twenty healthy younger (19-44 years old, age=29.9(7.0) years, body mass index= 24.6(3.2)kg/m2, females= 10) and 20 healthy older (55-79 years old, age=63.6(5.5) years, body mass index= 25.9(2.7)kg/m2, females= 10) adults who were free from lower limb injuries and had no musculoskeletal or neurological disorders. Temporospatial outcomes, sagittal and frontal lower limb joint angles and moments, along with joint powers were examined as participants walked at a self-selected pace. Waveform patterns were normalized to the gait cycle and compared using equality of variance and statistical parametric mapping techniques. RESULTS: No difference in walking speed existed between the younger or older groups (P > .05). The older group had greater variability (P