During 1513 reported stress events, students exhibited significant increases in autocorrelation peaks and DFA scaling exponents, indicating less predictable heart rate patterns than non-stress moments.
Observational (n=125)
No
Does stress affect heart rate patterns and rhythms in college students?
Stress in college students is associated with less regular and predictable heart rate patterns, highlighting the potential of time series analysis for stress monitoring.
(1) Background: Recent studies indicated the prevalence of stress among students. The increased level of stress is concerning due to its association with cardiovascular diseases. This study examined stress within the academic setting and its effects on heart rate patterns, addressing a gap in analysis methods beyond heart rate variability. (2) Methods: The data were collected from 125 students at a large university in Texas who were highly likely to experience stress disorders. Students were asked to wear a smartwatch for the duration of an academic semester to report their stress events. (3) Results: A total of 1513 stress events were reported. The highest frequency of stress events was reported at the beginning of the week, particularly on Tuesdays, and mostly between 10 am and 6 pm. Results also showed significant increases in the number of significant lags, the number of peaks in autocorrelation plots, and the scaling exponent in DFA plots. This indicates persistent correlations in the heart rate data and less regular, less predictable heart rate patterns and rhythms than during non-stress moments. (4) Conclusions: Findings underscore the importance of using time series analysis to understand the complexities in heart rate rhythm associated with stress, with the potential to inform future stress monitoring capabilities.
Ziyadidegan et al. (2026) conducted an observational in Stress (n=125). Smartwatch monitoring during stress events vs. Non-stress moments was evaluated on Heart rate patterns and rhythms (significant lags, peaks in autocorrelation plots, scaling exponent in DFA plots). During 1513 reported stress events, students exhibited significant increases in autocorrelation peaks and DFA scaling exponents, indicating less predictable heart rate patterns than non-stress moments.