| 1. |
- Hansson, Lina S., 1986-, et al.
(författare)
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Pointing out sickness : Detection of sickness from gait patterns
- 2021
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Ingår i: Brain, behavior, and immunity. - : Elsevier BV. - 0889-1591 .- 1090-2139. ; 98, s. 21-21
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: The ability to detect sick individuals is crucial for survival, by allowing avoidance of contagion. We have shown that humans can detect sick individuals from facial cues and body odors, but perception of these cues requires close proximity to the infectious person. Given that gait patterns can be detected from a distance and are altered during sickness, it would be beneficial to detect sickness from biological motion. Methods: We collected videos and point-light displays of walking individuals who were either made sick experimentally with an injection of lipopolysaccharide, or who were healthy (placebo). In study 1, 106 naive subjects watched these displays and rated them as coming from someone sick or healthy. In study 2, 106 other subjects rated health, sadness and tiredness of the displays on a VAS scale. Results: In Study 1, the sensitivity was 59% for videos and 57% for point-light displays, while the specificity was 74% for videos and 61% for point-light displays. Additional results will be presented at the conference. Conclusion: This study will indicate if sickness can be detected from gait patterns, possibly adding to immune defensive behaviors by facilitating avoidance of contagious peers.
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| 2. |
- Hansson, Lina S., 1986-, et al.
(författare)
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The walking sick : what predicts the detection of walking sick individuals?
- 2022
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Ingår i: Brain, behavior, and immunity. - : Elsevier. - 0889-1591 .- 1090-2139. ; 106, s. 36-36
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Methods: In two studies, raters watched video recordings and point-light displays (i.e. dots depicting the body joints) of walking individuals who were either experimentally sick (after injection with lipopolysaccharide at 2.0 ng/kg bw) or healthy (after a placebo injection). In study 1, 106 raters classified each walking individual as either sick or healthy. In study 2, 106 other raters graded health of the stimuli on a visual analogue scale. We assessed the predicting effect on sickness detection (study 1) and apparent health (study 2) of walking parameters (objective measures of stride length, width, time, as well as knee angle, arm angle, and head angle) and well-known sickness responses (Sickness Questionnaire score, pain intensity, body temperature, and interleukin-6 concentration).Results: In study 1, shorter steps was the only predictor of the detection of sick individuals from video recordings (β=0.712(0.257), p=0.02). In the point-light displays, slower, wider, stiffer and shorter steps, all predicted a better sickness detection (β=0.0003(0.0001)-0.415(0.126), p<0.05).In study 2, lipopolysaccharide-induced slower, shorter and stiffer steps (B=5.214(1.888)-6.385(2.083), p<0.01), as well as higher interleukin-6 concentrations (B=0.051(0.020), p=0.01), predicted worse health ratings of sick individuals in the video recordings. In the point-light displays, lipopolysaccharide-induced slower, shorter and stiffer steps, and more head tilting, predicted worse health ratings of sick individuals (B=4.185(1.892)-6.701(2.092), p<0.05).Conclusions: The results imply that specific changes in walking parameters may aid in sickness detection, possibly regulating approach-avoidance behaviors towards sick peers.
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| 3. |
- Hansson, Lina S., et al.
(författare)
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The walking sick : Perception of experimental sickness from biological motion
- 2023
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Ingår i: Brain, behavior, and immunity. - : Elsevier. - 0889-1591 .- 1090-2139. ; 113, s. 319-327
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Tidskriftsartikel (refereegranskat)abstract
- Identification of sick conspecifics allows for avoidance of infectious threats, and is therefore an important behavioral defense against diseases. Here, we investigated if humans can identify sick individuals solely from biological motion and posture (using point-light displays). Additionally, we sought to determine which movements and sickness parameters would predict such detection. We collected video clips and derived point-light displays (one stride presented in a loop) of sick walkers (injected with lipopolysaccharide at 2.0 ng/kg body weight) and the same walkers when healthy (injected with saline). We then presented these displays to two groups, one group classified each walker as sick or healthy (study 1, n = 106), and the other group scored the walkers’ health on a visual analogue scale (study 2, n = 106). The raters were able to identify sick individuals above chance, and rated sick walkers as having worse health, both from observing video clips and point-light displays. Furthermore, both sickness detection and worse apparent health were predicted by inflammation-induced increase in rigidity and slower walking, but not other cues. Altogether, these findings indicate that biological motion can serve as a sickness cue, possibly allowing humans to identify sick conspecifics from a distance, and thereby allowing for disease avoidance.
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| 4. |
- Lasselin, Julie, 1986-, et al.
(författare)
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Inflammation-related gait- Analysis of biological motion using the Microsoft® Kinect® during experimentally-induced sickness
- 2017
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Ingår i: Brain, behavior, and immunity. - : Elsevier BV. - 0889-1591 .- 1090-2139. ; 66
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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