Short-Term Effect of Spiritual Music on Heart Rate Variability in Medical Students: A Single-Group Experimental Study

Adlakha, Kavin; Mathur, Mohit K; Datta, Anjum; Kalsi, Rupali; Bhandari, Bharti

doi:10.7759/cureus.34833

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Articles were also excluded if the use of music described was prospective rather than retrospective 38,39 ; if they described an opportunity for medical students to design and submit creative works without discussion of musical artworks created by medical students [40][41][42][43] ; or if the use of music was incidental in the service of another artform such as theatre, 44,45 video, [46][47][48] vodcast 49 or identity text. 50 Finally, articles were excluded if they described musical activities with a cohort of medical students not directly related to general medical education, for example, qualitative explorations of musical experiences in which medical students have been participants, 51 studies testing a hypothesis about the effects of music with a cohort of medical students under experimental conditions, [52][53][54][55][56][57][58][59][60][61][62] Research orientation, 64 methodology and limitations were identified through an appraisal of research quality using JBI Critical Appraisal checklists, [65][66][67][68] with each study rated independently by two authors and discussed until agreement was reached by the group.…”

Section: Methodsmentioning

confidence: 99%

Music in medical education: A critical interpretive synthesis

Orchard,

Sitoh,

Wyatt

et al. 2023

Medical Education

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IntroductionWhile many have championed the value of music in medical education, research specific to how and why music has been offered in medical education is sparse and there have been few attempts to synthesise the literature.MethodsA Critical Interpretive Synthesis (CIS) of 56 texts including published articles, correspondence, abstracts and one thesis published between 1977 and 2022 was undertaken to explore the evidence basis for offering music in medical education.ResultsA total of 52 music‐focused programmes/activities were described, encompassing both curricular and extra‐curricular, receptive and participatory music activities and a wide range of musical genres. Inductive analysis of data extracted from texts revealed a variety of rationales for the use of music in medical education, which could be grouped within seven interrelated themes: well‐being; supportive learning environment; affective engagement; teaching and learning; developing skills for clinical practice; humanism in medicine; and creative expression (identity).DiscussionThe results of this synthesis demonstrate that there remains a gap between what is claimed about the affordances of music and what has been explicitly addressed in medical education research. Despite a paucity of research in this area, the available data support that the affordances of music are ‘multiple’ and may not be well represented by linear models. Evidence that engagement with music is beneficial for medical students is strongest in relation to the affordances of music for well‐being, facilitating a supportive learning environment, affective engagement, memorisation and creative expression (identity). That engagement with music might enhance humanism, including developing skills for clinical practice, requires further investigation. Accounting for student agency and the ‘multiple’ affordances of music will ensure that future teaching and research are best positioned to benefit medical students' well‐being and personal and professional development.

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Section: Methodsmentioning

confidence: 99%

Music in medical education: A critical interpretive synthesis

Orchard,

Sitoh,

Wyatt

et al. 2023

Medical Education

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Potential impact of music interventions in managing diabetic conditions

Eseadi¹,

Amedu²

2023

World J Clin Cases

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Spectral Power Distribution of Heart Rate Variability in Contiguous Short-Term Intervals

Mayrovitz

2024

Cureus

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Introduction: Heart rate variability (HRV) is determined by the variation of consecutive cardiac electrical excitations, usually from RR intervals of an EKG. The sequence of intervals is a time series that yields three HRV parameter categories: time domain, frequency domain, and nonlinear. Parameter estimates are based on widely different EKG sample times: short-term (~5-10 minutes), longer (24 hours), and ultra-short (<5 minutes). Five-minute intervals are useful to evaluate intervention effects that change HRV in a single session by comparing pre-to-post values. This approach relies on knowing the minimal detectible change (MDC) that indicates a real change in clinical and research studies. The specific aims of this pilot study were to (1) evaluate HRV power and its spectral distribution among contiguous five-minute intervals, (2) compare the power distribution in a five-minute interval with a full 45-minute assessment, and (3) provide data to aid estimation of the MDC between pre-and post-interventions during a single session.Methods: Twelve self-reported healthy young adults participated after signing an approved consent. Participation required subjects who had no history of cardiovascular disease or were taking vasoactive substances. Persons with diabetes were not eligible. While subjects were supine, EKG leads were placed, and EKG was recorded for 45 minutes at 1000 samples/sec. The 45 minutes were divided into nine five-minute contiguous intervals, and the spectral density in each was determined. Total power and spectral percentages within each interval were assessed in the very low (VLF, 0.003-0.04 Hz), low (LF, 0.04-0.15 Hz), and high (HF, 0.15-0.4 Hz) frequency bands. These were compared among intervals and to the full 45-minute sample. The MDC was determined by comparing powers in five-minute intervals separated by 10 minutes. The standard error of the measurement (SEME) for each pair was calculated from the square root of the mean square error (√MSE). MSE was based on a two-factor analysis of variance, and MDC was 2×√2×SEME.Results: Differences in total power and spectral power distribution among intervals were not statistically significant. The total mean power±SD was 4561±1434 ms². The maximum difference in total power was 7.85%. The mean power for the VLF, LF, and HF bands was respectively 1713±1736 ms², 1574±1072 ms², and 1257±1016 ms². The maximum percentage difference in spectral power across all intervals for VLF, LF, and HF was respectively 3.75%, 8.5%, and 7.4%. The percentage of power in the VLF, LF, and HF bands was respectively 37.9%, 36.1%, and 25.9%. The ratios of spectral to total power for VLF, LF, and HF bands were respectively 0.80±0.07, 1.20±0.11, and 1.22±0.10. MDC percentage values were 21.0±4.9% for the HF band, 25.7±1.4% for the LF band, and 30.4±5.5% for the VLF band.Conclusion: Results offer initial estimates of variations in HRV power in the VLF, LF, and HF bands in contiguous five-minute intervals and estimates of the minimum detectible "real" changes between intervals separ...

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Short-Term Effect of Spiritual Music on Heart Rate Variability in Medical Students: A Single-Group Experimental Study

Cited by 3 publications

References 13 publications

Music in medical education: A critical interpretive synthesis

Music in medical education: A critical interpretive synthesis

Potential impact of music interventions in managing diabetic conditions

Spectral Power Distribution of Heart Rate Variability in Contiguous Short-Term Intervals

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