The main purpose of this study is to characterize lower limb joint kinematics during gait in obese individuals by analyzing inter-limb symmetry and angular trends of lower limb joints during walking. To this purpose, 26 obese individuals (mean age 28.5 years) and 26 normal-weight age- and sex-matched were tested using 3D gait analysis. Raw kinematic data were processed to derive joint-specific angle trends and angle-angle diagrams (synchronized cyclograms) which were characterized in terms of area, orientation and trend symmetry parameters. The results show that obese individuals exhibit a kinematic pattern which significantly differs from those of normal weight especially in the stance phase. In terms of inter-limb symmetry, higher values were found in obese individuals for all the considered parameters, even though the statistical significance was detected only in the case of trend symmetry index at ankle joint. The described alterations of gait kinematics in the obese individuals and especially the results on gait asymmetry are important, because the cyclic uneven movement repeated for hours daily can involve asymmetrical spine loading and cause lumbar pain and could be dangerous for overweight individuals.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Kinematics Adaptation and Inter-Limb Symmetry during Gait in Obese Adults



    Erscheinungsdatum :

    2021-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629 / 796



    Kinematics Adaptation and Inter-Limb Symmetry during Gait in Obese Adults

    Pau, Massimiliano / Capodaglio, Paolo / Leban, Bruno et al. | BASE | 2021

    Freier Zugriff

    Cyclogram-based evaluation of inter-limb gait symmetry in Prader-Willi Syndrome

    Pau, Massimiliano / Cerfoglio, Serena / Capodaglio, Paolo et al. | Elsevier | 2024

    Freier Zugriff

    Reliability of lower limb kinematics, mechanics and energetics during gait in patients after stroke.

    Caty, Gilles / Detrembleur, Christine / Bleyenheuft, Corinne et al. | BASE | 2009

    Freier Zugriff


    Is it possible to predict falls in older adults using gait kinematics?

    Marques, Nise Ribeiro / Spinoso, Deborah Hebling / Cardoso, Bruna Carvalho et al. | BASE | 2018

    Freier Zugriff