Embodiment of Sadness and Depression—Gait Patterns Associated With Dysphoric Mood
Johannes Michalak, Nikolaus F. Troje, Julia Fischer, Patrick Vollmar, Thomas Heidenreich, Dietmar Schulte
Psychosomatic Medicine, Vol. 71, Issue 5, pp. 580–587 (2009)
10.1097/psy.0b013e3181a2515c
PMID: 19414617
Abstract
Objective: To analyze gait patterns associated with sadness and depression. Embodiment theories suggest a reciprocal relationship between bodily expression and the way in which emotions are processed. Methods: In Study 1, the gait patterns of 14 inpatients suffering from major depression were compared with those of matched never-depressed participants. In Study 2, we employed musical mood induction to induce sad and positive mood in a sample of 23 undergraduates. A Fourier-based description of walking data served as the basis for the computation of linear classifiers and for the analysis of gait parameters. Results: Gait patterns associated with sadness and depression are characterized by reduced walking speed, arm swing, and vertical head movements. Moreover, depressed and sad walkers displayed larger lateral swaying movements of the upper body and a more slumped posture. Conclusion: The results of the present study indicate that a specific gait pattern characterizes individuals in dysphoric mood. ANCOVA = analysis of covariance; BDI = Beck Depression Inventory; DSM = Diagnostic and Statistical Manual of Mental Disorders; MANOVA = multivariate analysis of variance; MDD = major depressive disorder; SCID = Structured Clinical Interview for DSM-IV; SNRI = serotonin noradrenalin reuptake inhibitors; SSRI = selective serotonin reuptake inhibitors.
Topics
Field: Psychology · Subfield: Social Psychology
Keywords
Sadness,Gait,Mood,Psychology,Depression (economics),Physical medicine and rehabilitation,Affect (linguistics),Clinical psychology,Anger,Medicine
MeSH Terms
UN Sustainable Development Goals
- Good health and well-being (0.57)
All Available Versions
- Landing page — Psychosomatic Medicine publishedVersion
- Landing page — PubMed publishedVersion
- Landing page submittedVersion
- Landing page — mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) submittedVersion
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