Abstract
We used the 7.5% carbon dioxide (CO2) model of anxiety induction to investigate the effects of state anxiety on normal gait and gait when navigating an obstacle. Healthy volunteers (n = 22) completed a walking task during inhalations of 7.5% CO2 and medical air (placebo) in a within-subjects design. The order of inhalation was counterbalanced across participants and the gas was administered double-blind. Over a series of trials, participants walked the length of the laboratory, with each trial requiring participants to navigate through an aperture (width adjusted to participant size), with gait parameters measured via a motion capture system. The main findings were that walking speed was slower, but the adjustment in body orientation was greater, during 7.5% CO2 inhalation compared to air. These findings indicate changes in locomotor behaviour during heightened state anxiety that may reflect greater caution when moving in an agitated state. Advances in sensing technology offer the opportunity to monitor locomotor behaviour, and these findings suggest that in doing so, we may be able to infer emotional states from movement in naturalistic settings.
Highlights
Abnormal gait is common in a number of psychiatric disorders comprising motor deficits, such as Parkinson’s disease
State anxiety (STAI), negative affect (PANAS-negative), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) were higher, and positive affect (PANAS-positive) was lower, after CO2 inhalation compared to air, confirming the validity of the anxiety manipulation
We found evidence that overall walking speed decreases during 7.5% C O2 inhalation compared to air
Summary
Abnormal gait is common in a number of psychiatric disorders comprising motor deficits, such as Parkinson’s disease. Sanders and Gillig (2010) identify that as gait requires higher level brain systems, analysis of it can improve the understanding of psychiatric disorder. Taken together, these findings indicate that gait may be altered by psychological states, the nature of these changes in response to different psychological states is unknown and warrants further investigation. To exploit emerging technologies to develop monitoring systems for anxiety-related conditions, further research is needed to identify the profile of movement associated with anxious states. This study addresses this gap in the literature. Due to the paucity of research in this area, this research was exploratory and our hypotheses non-directional
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.