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<p>Mindfulness in Motion (MIM) can improve stress, resiliency, and burnout in healthcare providers but physiological outcomes are unknown. Thus, this study evaluated the effects of MIM on respiration rate (RR), heart rate (HR), and heart rate variability (HRV). Nineteen healthcare providers wore chest strap electrocardiography (ECG) devices and remained still and seated while data were recorded for 5&#xa0;min prior to (MIM-Start) and after completing (MIM-End) each of the 8 weekly MIM sessions. Metrics included: HR, RR, root-mean square of successive differences between R–R intervals (RMSSD), standard deviation of R–R intervals (SDNN), absolute low frequency power (LF), and absolute high frequency power (HF). At MIM-End, average SDNN (47.8 ± 26.6 vs. 38.2 ± 16.7&#xa0;ms) and LF Power (2375 ± 3306 vs. 906 ± 1272&#xa0;ms<sup>2</sup>) were greater and RR was slower (11.9 ± 3.0 v. 13.9 ± 3.0&#xa0;bpm) than MIM-Start (p &lt; 0.05). The Connor-Davidson Resilience Scale increased from Week-1 (27.7 ± 4.8) to Week-8 (31.5 ± 4.8, p &lt; 0.001). Compared to Week-1, HR was slower and RMSSD was greater during weeks 2, 3, and 4. There were increases in SDNN and LF, as well as decreases in RR, HF Power, and LF/HF Ratio at MIM-Start for some later weeks compared to MIM-Start at Week-1 (p &lt; 0.05). For healthcare workers in normal work hours, respiration rates were slower and HRV improved but HRV frequency metrics could suggest slight physiological arousal at the end of MIM sessions. These results should be taken with caution, but MIM improved physiological biomarkers of stress at the start of some of the 8 weekly sessions.</p>

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Preliminary feasibility of mindfulness in motion to improve physiological biomarkers of wellbeing in healthcare providers during dayshift hours

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月21日

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  • Justin J. Merrigan,
  • Maryanna Klatt,
  • Catherine Quatman-Yates,
  • Angela Emerson,
  • Jamie Kronenberg,
  • Morgan Orr,
  • Jacqueline Caputo,
  • Kayla Daniel,
  • Anne-Marie Duchemin,
  • Beth Steinberg,
  • Joshua A. Hagen

摘要

Mindfulness in Motion (MIM) can improve stress, resiliency, and burnout in healthcare providers but physiological outcomes are unknown. Thus, this study evaluated the effects of MIM on respiration rate (RR), heart rate (HR), and heart rate variability (HRV). Nineteen healthcare providers wore chest strap electrocardiography (ECG) devices and remained still and seated while data were recorded for 5 min prior to (MIM-Start) and after completing (MIM-End) each of the 8 weekly MIM sessions. Metrics included: HR, RR, root-mean square of successive differences between R–R intervals (RMSSD), standard deviation of R–R intervals (SDNN), absolute low frequency power (LF), and absolute high frequency power (HF). At MIM-End, average SDNN (47.8 ± 26.6 vs. 38.2 ± 16.7 ms) and LF Power (2375 ± 3306 vs. 906 ± 1272 ms2) were greater and RR was slower (11.9 ± 3.0 v. 13.9 ± 3.0 bpm) than MIM-Start (p < 0.05). The Connor-Davidson Resilience Scale increased from Week-1 (27.7 ± 4.8) to Week-8 (31.5 ± 4.8, p < 0.001). Compared to Week-1, HR was slower and RMSSD was greater during weeks 2, 3, and 4. There were increases in SDNN and LF, as well as decreases in RR, HF Power, and LF/HF Ratio at MIM-Start for some later weeks compared to MIM-Start at Week-1 (p < 0.05). For healthcare workers in normal work hours, respiration rates were slower and HRV improved but HRV frequency metrics could suggest slight physiological arousal at the end of MIM sessions. These results should be taken with caution, but MIM improved physiological biomarkers of stress at the start of some of the 8 weekly sessions.