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Inflammation-related gait- Analysis of biological motion using the Microsoft® Kinect® during experimentally-induced sickness

Lasselin, Julie, 1986- (författare)
Stockholms universitet,Stressforskningsinstitutet,University Hospital Essen, Germany; Karolinska Institutet, Stockholm, Sweden
Sundelin, Tina (författare)
Olsson, Mats J. (författare)
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Axelsson, John, 1969- (författare)
Stockholms universitet,Stressforskningsinstitutet,Karolinska Institutet, Stockholm, Sweden
Lekander, Mats, 1959- (författare)
Stockholms universitet,Stressforskningsinstitutet,Karolinska Institutet, Stockholm, Sweden
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 (creator_code:org_t)
Elsevier BV, 2017
2017
Engelska.
Ingår i: Brain, behavior, and immunity. - : Elsevier BV. - 0889-1591 .- 1090-2139. ; 66
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Nyckelord

biological motion
sickness detection
gait pattern
experimentally-induced sickness
Microsoft® Kinect®
psykologi
Psychology

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