Sleep & Stress in Healthcare Providers After Defined Music Intervention Measure by 7-Tesla fMRI & Actigraphy
NCT ID: NCT05980429
Last Updated: 2024-03-15
Study Results
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Basic Information
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COMPLETED
NA
16 participants
INTERVENTIONAL
2020-06-01
2021-08-31
Brief Summary
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Detailed Description
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The central hypothesis is that listening to validated stress-reducing music containing defined compositional elements of relaxation will enhance sleep quality and/or quantity, reduce self-reported psychological stress, and mitigate burnout in health care providers. The study aims to test this hypothesis by measuring pre-, intra-, and post- intervention changes in brain activation, functional connectivity, and neurotransmitter releases using 7-Tesla fMRI; in qualitative and quantitative sleep patterns using clinically validated actigraphy straps; and in self-reported psychological stress and burnout using validated surveys. The study will provide essential data for a formal intervention to improve bedtime routines among healthcare providers prone to acute and chronic stress, sleep deprivation, depression and burnout.
The novelty of the proposed study is threefold: (1) use of high-resolution 7-Tesla fMRI technology to visualize neurological changes in the brain during and after the defined music intervention; (2) use of state-of-the-art actigraphy to qualitatively and quantitatively measure music-induced changes in slow wave and rapid eye movement (REM) sleep; and (3) use of sophisticated and precise repertoire-selection methodology developed by expert musicians on the team and aimed at increasing the reproducibility and scientific rigor in future music intervention studies. Gathering the team's interdisciplinary expertise of concert musicians, a Grammy Award-nominated composer, acute-care physicians, surgeons, and sleep experts at Houston Methodist Hospital, the investigators seek to measure the impact of defined musical intervention on sleep, stress and burnout using repertoire ranging from the Baroque period to 21st Century and containing a combination of 16 universal Compositional Elements of Relaxation previously extracted and evaluated by the team.
The long-term goal is to implement and disseminate defined and scientifically reproducible stress-reducing and sleep-enhancing music interventions at the clinic and policy level that may alleviate psychophysiological stress and reduce the severity and prevalence of sleep deprivation and burnout in health care providers.
Purpose of the Study / Objectives
Objective 1 To measure the impact of defined music intervention on quality and quantity of sleep in acute care surgeons using WHOOP-a clinically validated actigraphy device The research objective is to evaluate both pre- and self-selected music interventions prior to bedtime as a low-cost, zero-risk, noninvasive, easy-to-implement, and non-pharmacological technique to enhance sleep qualitatively and quantitatively in acute care attendings, fellows, and residents as measured by clinically validated actigraphy strap (WHOOP).
Objective 2 To validate music-induced stress-reduction and emotion-regulating improvement via increased frontal-amygdala connection and using 7-Tesla fMRI The investigators seek to investigate neural mechanisms underlying impaired emotional regulation as a result of sleep deprivation, and to develop a better understanding of the effects of music intervention on the human stress response. An algorithm for the graph-theoretical analysis of functional magnetic resonance imaging (fMRI) data will be developed. Emotional centers including the amygdala and bilateral insula activation patterns will be visualized. The impact of music on the frontal lobe-amygdala connection will be examined. Network clustering analysis will be performed to evaluate functional subunits with highest interactions induced by music exposure. 7-Tesla fMRI in connection with graph theoretical network analysis will be used to identify and differentiate functional subunits in the human brain when under prescribed and self-selected music intervention.
Objective 3 To evaluate the impact of defined music intervention on self-reported psychological stress, quality of sleep and burnout in acute-care surgeons using validated surveys
The objective is to measure the impact of defined music intervention on self-reported psychological stress using the State-Trait Anxiety Inventory (STAI), on quality and quantity of sleep using the Pittsburgh Sleep Quality Index (PSQI), and on self-reported burnout syndrome using the Maslach Burnout Inventory (MBI). The study also aims to examine potential differences between the self-selected music and pre-selected music groups, and test the hypothesis that pre-selected music repertoire containing defined compositional elements of relaxation will achieve comparable or superior results at enhancing sleep and reducing self-reported stress. Additionally, a Brief Musical Experience Questionnaire (BMEQ) will be collected as information for the participants' musical background to investigate potential link between susceptibility to music intervention and prior musical training, preference and exposure.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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Music Therapy, Prescribed
During weeks 2-5, participants in the prescribed music group underwent a minimum of 15 minutes (mandatory) of nightly self-administered music intervention immediately before bedtime.
Music Therapy, prescribed
All music pieces selected for the prescribed intervention contain compositional elements of relaxation analyzed, prepared, and recorded by professional concert artists and a Grammy-nominated composer. The compositional elements included Accentuation, Articulation, Dynamic Range, Familiarity, Interpretive Expertise, Melodic Shape, Meter, Recording Quality, Repetition, Register, Rubato, Tempo, Texture, Timbre, Transition, and Tonality. These 15 repertoire-selecting parameters were used to choose the prescribed music play list for this study. Music used for the study was downloaded from a password-protected Google Drive accessible to the study participants assigned to the "prescribed music" intervention group.
Music Therapy, Self-selected
During weeks 2-5, participants in the self-selected music group underwent a minimum of 15 minutes (mandatory) of nightly self-administered music intervention immediately before bedtime.
Music Therapy, self-selected
All music pieces were self-selected by the participant
No Music Therapy Control
During weeks 2-5, participants in the no-music group continued as usual.
No interventions assigned to this group
Interventions
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Music Therapy, prescribed
All music pieces selected for the prescribed intervention contain compositional elements of relaxation analyzed, prepared, and recorded by professional concert artists and a Grammy-nominated composer. The compositional elements included Accentuation, Articulation, Dynamic Range, Familiarity, Interpretive Expertise, Melodic Shape, Meter, Recording Quality, Repetition, Register, Rubato, Tempo, Texture, Timbre, Transition, and Tonality. These 15 repertoire-selecting parameters were used to choose the prescribed music play list for this study. Music used for the study was downloaded from a password-protected Google Drive accessible to the study participants assigned to the "prescribed music" intervention group.
Music Therapy, self-selected
All music pieces were self-selected by the participant
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* hearing impairment
* cognitive impairment
* large metal implants
* Self-reported regular use of prescribed sleep medications
30 Years
65 Years
ALL
Yes
Sponsors
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The Methodist Hospital Research Institute
OTHER
Responsible Party
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Atiya Dhala
Associate Professor of Clinical Medicine in Clinical Surgery
Locations
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Houston Methodist Hospital
Houston, Texas, United States
Countries
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References
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McPherson T, Berger D, Alagapan S, Frohlich F. Active and Passive Rhythmic Music Therapy Interventions Differentially Modulate Sympathetic Autonomic Nervous System Activity. J Music Ther. 2019 Aug 13;56(3):240-264. doi: 10.1093/jmt/thz007.
Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017 Sep 28;5:258. doi: 10.3389/fpubh.2017.00258. eCollection 2017.
Nowak J, Dimitrov A, Oei NYL, Walter H, Adli M, Veer IM. Association of naturally occurring sleep loss with reduced amygdala resting-state functional connectivity following psychosocial stress. Psychoneuroendocrinology. 2020 Apr;114:104585. doi: 10.1016/j.psyneuen.2020.104585. Epub 2020 Jan 24.
Strine TW, Chapman DP. Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 2005 Jan;6(1):23-7. doi: 10.1016/j.sleep.2004.06.003.
Oskrochi Y, Maruthappu M, Henriksson M, Davies AH, Shalhoub J. Beyond the body: A systematic review of the nonphysical effects of a surgical career. Surgery. 2016 Feb;159(2):650-64. doi: 10.1016/j.surg.2015.08.017. Epub 2015 Oct 1.
Dyrbye LN, West CP, Satele D, Boone S, Tan L, Sloan J, Shanafelt TD. Burnout among U.S. medical students, residents, and early career physicians relative to the general U.S. population. Acad Med. 2014 Mar;89(3):443-51. doi: 10.1097/ACM.0000000000000134.
Shanafelt TD, Boone S, Tan L, Dyrbye LN, Sotile W, Satele D, West CP, Sloan J, Oreskovich MR. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012 Oct 8;172(18):1377-85. doi: 10.1001/archinternmed.2012.3199.
Deneva T, Ianakiev Y, Keskinova D. Burnout Syndrome in Physicians-Psychological Assessment and Biomarker Research. Medicina (Kaunas). 2019 May 24;55(5):209. doi: 10.3390/medicina55050209.
Jackson-Koku G, Grime P. Emotion regulation and burnout in doctors: a systematic review. Occup Med (Lond). 2019 Feb 7;69(1):9-21. doi: 10.1093/occmed/kqz004.
Zentner M, Grandjean D, Scherer KR. Emotions evoked by the sound of music: characterization, classification, and measurement. Emotion. 2008 Aug;8(4):494-521. doi: 10.1037/1528-3542.8.4.494.
Other Identifiers
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PRO00024163
Identifier Type: -
Identifier Source: org_study_id
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