382
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Comparison of psychological states of runners within urban and nature environments: the application of electroencephalography (EEG), geographic information systems (GIS), and fitness tracker

, , , & ORCID Icon
Received 07 Oct 2020, Accepted 22 Jul 2021, Published online: 08 Oct 2021
 

ABSTRACT

Engagement with natural environments has been shown to enhance mental well-being and reduce stress and frustration. However, little research has been conducted on the influence of urban and built environments on psychological state during real-time exercise. This study explored the changes in mental state for 19 avid runners over the course of a casual 10k run through urban and natural settings. Participants wore mobile encephalograms, fitness trackers, and GPS devices to track neurological, physiological, and geographic data for the entire run. Results indicate significant increases in relaxation from pre to post-run measurements, with variant mental status throughout the experience, based on environmental context, distance, and climb rate. The trajectory of mental processes was similar to those reported in previous studies, though not supportive of a restorative mental influence of natural settings during vigorous activity. Results are discussed with previous research and implications for activity planning and urban planning.

Additional information

Funding

This work was supported by the Dong-A University research fund.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 250.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.