Complex Correlation Method Identifies Efficacy of One-week Mindfulness Training in College Students

Fatimah M. Alani, Shiza Saleem, Bayan S. Obeid, Yasser O. Kassar, Nadia Rabeh, Carl H. Kassab, Rajan R. K Prasad, Herbert F. Jelinek, Zakia Dimassi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

College students face a variety of stressors, including academic pressure, social challenges, and financial concerns. Mindfulness training by applying breathing and self-reflecting mantras has been shown to be a useful tool for reducing stress as part of compassion mindfulness training (CMT). Physiological measures of these methods are lacking. Heart rate variability (HRV) captures stress and anxiety by changes in the sympathovagal balance and hence may provide insight into the effectiveness of mindfulness on psychopathology. Thirty-nine students were recruited and answered the depression, anxiety, and stress questionnaire (DASS-21) prior to and following 90 days after CMT. Heart rate was recorded for 5 minutes before CMT and following the 1-week intervention. HRV features included time-frequency domain, nonlinear features, and complex correlation measures. Long-term improvements in DASS-21 were not reflected by all HRV features. However, changes in HRV patterns indicate an increase in complexity reflecting the higher adaptability and flexibility of the autonomic nervous system. The research outcomes indicate the beneficial effect of short, self-compassion mindfulness training. Yet, further research is required to explain its effect on heart rate variability.

Original languageBritish English
Title of host publicationComputing in Cardiology, CinC 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350382525
DOIs
StatePublished - 2023
Event50th Computing in Cardiology, CinC 2023 - Atlanta, United States
Duration: 1 Oct 20234 Oct 2023

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference50th Computing in Cardiology, CinC 2023
Country/TerritoryUnited States
CityAtlanta
Period1/10/234/10/23

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