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Inflammation-related gait- Analysis of biological motion using the Microsoft® Kinect® during experimentally-induced sickness
Stockholm University, Faculty of Social Sciences, Department of Psychology, Stress Research Institute. University Hospital Essen, Germany; Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-8323-0714
Stockholm University, Faculty of Social Sciences, Department of Psychology, Stress Research Institute. Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0003-3932-7310
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Number of Authors: 52017 (English)In: Brain, behavior, and immunity, ISSN 0889-1591, E-ISSN 1090-2139, Vol. 66, article id e29Article in journal (Refereed) Published
Abstract [en]

Biological motion is a powerful communication cue and we have recently shown that sickness can be detected from gait pattern. However, it is unclear which gait characteristics are modulated by health status and whether change in gait pattern relates to inflammation and to the degree of sickness. The current study aimed at answering these questions by assessing biological motion characteristics in 19 individuals during experimentally-induced sickness, obtained by intravenous injection of lipopolysaccharide (2 ng/kg bw), and after placebo administration. Joint 3-D coordinates were recorded using the Microsoft® Kinect® during a walking paradigm and a mobility test (time-up-and-go test). Results indicate that gait during experimentally-induced sickness is characterized by slower and shorter strides, resulting in slower walking speed, as well as a slower time to stand up from a chair. In addition, sick subjects appear to swing their arms and to lift their legs less than when healthy, as reflected by smaller elbow angle during arm extension and larger knee angle during leg flexion compared to the placebo condition. Alterations in the overall gait pattern during experimentally-induced sickness was associated with interleukin-6 peak concentrations and a trend was observed with sickness symptoms. Altogether, these findings suggest that gait pattern might signal sickness/inflammatory status and could be used as an objective assessment of sickness, as well as to determine evolution of health status in individuals over time.

Place, publisher, year, edition, pages
2017. Vol. 66, article id e29
Keywords [en]
biological motion, sickness detection, gait pattern, experimentally-induced sickness, Microsoft® Kinect®
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-225042DOI: 10.1016/j.bbi.2017.07.110OAI: oai:DiVA.org:su-225042DiVA, id: diva2:1824495
Conference
PsychoNeuroImmunology Research Society's 24th Annual Scientific Meeting, Galveston, Texas, USA, June 7–10, 2017.
Available from: 2024-01-05 Created: 2024-01-05 Last updated: 2024-01-09Bibliographically approved

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Lasselin, JulieAxelsson, JohnLekander, Mats

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