Abstract
PURPOSE
Music may be an effective therapeutic tool during cancer treatment to improve patient psychological and physical well-being. Current research shows a positive effect of music on psychological outcomes; however, many of these studies lacked significant sample size and rigor in monitoring type of music used and duration of music use during treatment.
METHODS
Participants (N = 750) in this open-label, multisite, day-based permuted block randomization study were adult patients receiving outpatient chemotherapy infusion. Patients were randomly assigned to either music (listen to music for up to 60 minutes) or control (no music) conditions. Music patients were allowed to self-select an iPod shuffle programmed with up to 500 minutes of music from a single genre (eg, Motown, 60s, 70s, 80s, classical, and country). Outcomes were self-reported change in pain, positive and negative mood, and distress.
RESULTS
Patients who listened to self-selected music during infusion showed significant benefit in improved positive mood and reduced negative mood and distress (but not pain) from pre- to post-intervention (all two-sample t-tests P < .05). LASSO penalized linear regression models showed a selective benefit for some patients on the basis of relationship (P = .032) and employment (P = .029) status with those who were married or widowed and those on disability showing better outcomes.
CONCLUSION
Music medicine is a low-touch, low-risk, and cost-effective way to manage patients' psychological well-being in the often stressful context of a cancer infusion clinic. Future research should be directed to understanding what other factors may mitigate negative mood states and pain for certain groups during treatment.
INTRODUCTION
Nearly 1.5 million new cancer cases are diagnosed each year.1 Many of these patients will undergo chemotherapy as part of their treatment. Common side effects include pain, fatigue, nausea, vomiting, anxiety, depression, and hair loss,2 which can not only take a toll physically but also be emotionally overwhelming and stressful.3
CONTEXT
Key Objective
This study used a large sample and a methodologically rigorous open-label, multisite, day-based permuted block randomization design to test the benefits of music as a low-risk and low-cost intervention to improve pain, mood, and distress in patients during chemotherapy infusion.
Knowledge Generated
There were significant differences in change in positive and negative mood and distress (although not pain) from pre- to post-intervention between the music and control groups. Participants who were married or widowed and those receiving disability income reported greater benefit outcomes after listening to music.
Relevance
Music medicine is a low-touch, low-risk, and cost-effective way to manage patients' psychological well-being during chemotherapy infusion.
Music medicine is the use of music to reduce negative emotional states and aid in stress management and emotional expression. Whether listening passively or actively, music has been found to be an effective nonpharmacologic intervention for patients undergoing cancer treatment.4,5 Both physical (ie, pain and fatigue) and psychological outcomes (ie, distress and mood) have been positively affected by music during treatment.4-12 Previous studies have also shown that adult patients with cancer are interested in music interventions.10
However, meta-analyses in this area have shown limitations to previous studies, including small sample size and weak methodology, such as lack of detailed description of selected music and lack of consideration of potential confounders (eg, patients' musical background).4,11,13 To better understand the clinical benefit of music as an adjunct treatment during chemotherapy, additional studies must be done with larger sample sizes and more rigorous methodology.
The current study used an open-label, multisite, day-based permuted block randomization design to test music as a therapeutic intervention to improve pain, mood, and distress in patients during chemotherapy infusion. A key feature of this study was accounting for limitations in the existing literature. Specifically, the study recruited a large cohort, providing significantly more power than many previous studies.13 In addition, the study assessed participants' musical preference, the impact of previous training in voice or music, sociodemographics, and clinical features as correlates.
Primary Aim
To test the effect of listening to music on patients' pain, mood, and level of distress during chemotherapy infusion.
Hypothesis
Patients with cancer who listen to music will have a greater reduction in negative mood, pain, and distress from pre- to post-intervention and more improvement in positive mood than those who do not listen to music.
Secondary Aim
To explore correlates (ie, previous training in voice or music, and patients' sociodemographics, clinical features, and self-reported anxiety and depression) of change in outcomes from pre- to post-intervention.
METHODS
Participants
The sample was 750 patients receiving chemotherapy infusion from February 2018 to March 2020 at Karmanos Cancer Institute (Detroit, MI) and five affiliated McLaren Health clinics throughout the state of Michigan (a total of six sites). Eligibility criteria were (1) age >18 years, (2) able to speak, read, write, and understand English, (3) sufficient hearing capacity to hear music, and (4) scheduled for a chemotherapy infusion lasting ≥60 minutes. Patients with cognitive or perceptual disturbances were excluded (caregivers were also recruited using the same eligibility criteria; however, this study focuses specifically on the patients in this study). Institutional review boards at Wayne State University and Karmanos Cancer Institute provided approval for all study procedures.
Procedure
Members of the clinical care team in each infusion clinic identified participants who met eligibility criteria. Interested patients were referred to a member of the research team who explained the study procedures, provided the participant with an opportunity to ask questions, and obtained written informed consent. The research assistant also described the amount of time that the participant would be involved in the study and ensured that they understood that participation was voluntary and would have no impact on current or future medical care. After providing consent, participants completed a brief questionnaire assessing (1) sociodemographic characteristics (ie, age, sex, race/ethnicity, and household income), (2) musical background (eg, training in voice or a musical instrument), (3) anxiety and depression, and (4) baseline levels of pain, mood, and distress. The explanation of the study, consent, and questionnaire took approximately 15-20 minutes to complete.
At the time of consent, participants were assigned to the control or intervention group depending on the day of the week. Days within a week were block-randomized such that any given day, music was provided to participants (intervention day) or no music was provided to participants (control day).
Music participants were asked to select a musical genre for the 60-minute listening period. Examples included Motown, 60s, 70s, 80s, classical, and country. Each participant was provided with an iPod shuffle, programmed with approximately 150 songs (up to 500 minutes) of music from that genre. The iPods were distributed by research nurses or individuals who had completed hospital volunteer training. To ensure the safe use of iPods across multiple participants, the handling and disinfection of iPods followed Karmanos Cancer Institute policies on antiseptics, disinfectants, and infection control, and all participants received a new pair of one-time-use headphones. After the listening period, music participants completed a postsurvey assessing pain, positive and negative mood, and distress levels. They also recorded the amount of time spent listening to music.
The control group served as an active waitlist control for participants who were recruited on days designated as nonmusic days. The control group completed pre- and post-surveys across a 60-minute period to mirror the timing of surveys for the intervention group but was instructed not to listen to music during the study period. Given the potentially beneficial effect of music, control participants were given the option to listen to music using one of the study iPods after they had completed their participation. Participants in both groups received $10 in US dollars (USD) gift cards for their participation.
Measurable Variables
The primary end points were change in self-reported pain, positive and negative mood, and distress from pre- to post-intervention. A visual analog scale was used for participants to rate their pain from 0 (no pain) to 10 (worst imaginable pain).5 The Positive and Negative Affect Scale (PANAS) was used to assess participant's mood. This measure is widely used to assess state-dependent levels of positive and negative mood.14 The Distress Thermometer was used to assess participant distress from 0 (no distress) to 10 (extreme distress). This measure is part of the National Comprehensive Cancer Network Practice Guidelines and is commonly used to measure distress.8
Other measured variables were study site (a total of six sites), sociodemographics (ie, age, sex, race, education level, relationship status, employment status, and household income), musical preference, musical training (ie, voice and musical instrument), and clinical variables (ie, cancer stage and type of treatment). Participants also completed the Hospital Anxiety and Depression Scale, a well-validated measure of anxiety and depressive symptoms in patient populations, to control for any baseline effect of pre-existing mood.25 Participants were also asked if they have taken any antianxiolytic or allergy medication (eg, Xanax, Benadryl) before their infusion to also control for any effects on baseline mood.
Design
The study used a randomized two-arm pre-post design. As the intervention could not be feasibly blinded to the control arm, day-based permuted block randomization was used. All participants who enrolled in the study on an intervention day (ie, music day) were assigned to the intervention arm, while those who enrolled on a control day (ie, nonmusic day) were assigned to the control arm. At the Karmanos infusion center, most of patients receive week-based chemotherapy on either Tuesday or Thursday. Therefore, two day-based randomized block designs were used. The first block (Monday, Wednesday, and Friday) was randomized across 2 weeks with a weighted block size of 3 (first week: 2 intervention days and 1 control day, and second week: 1 intervention day and 2 control days). The second block (Tuesday and Thursday) was randomized every week with block size of 2. As all six sites were expected to have a similar distribution of patients per day, the same day-based randomized block design was used across sites.
The accrual target was set at 750 participants (ie, 375 per group). Assuming an attrition rate of 10%, the power for primary outcomes was justified with 674 participants (ie, 337 per group) using an unpaired t-test. This number assumed a small effect size (d = 0.2) with >95% power to detect a true difference between two groups when a two-sided unpaired t-test was used at a P ≤ 5% significance level. Even applying a Bonferroni multiple comparison correction for up to 10 variables, a sample size of 674 participants had >80% power to detect a true difference using a two-sided 0.5% (5%/10) level.
Data Analysis
Baseline characteristics were summarized using count and percentage for categorical variables, and mean and standard deviation (SD) for continuous variables. Continuous outcomes were checked for distributional assumptions. Change in the four outcomes (pain, mood [PANAS positive and PANAS negative], and distress) was calculated as the difference from pre- to post-intervention. Comparisons between groups (music v control) were performed using two-sample unpaired t-tests corrected for multiplicity with the Holm's procedure. Cohen's d with 95% confidence intervals (CI) were used as a measure of clinical significance. A multivariable linear regression analysis was carried out with 11 baseline characteristics (intervention group, sex, race [White v non-White], education level, relationship status, employment status, household income, cancer treatment, cancer stage, anxiety/allergic medication, training in musical instrument(s), or voice training [yes v no]) as predictors of change of each of the four outcomes. LASSO-based penalized linear regression models with leave-one-out cross-validation were used to avoid underpowered analyses. Multivariable linear regression analyses for each outcome were then performed with the LASSO-selected baseline characteristics. P values were further corrected using the Holm's procedure to account for multiple comparisons.
RESULTS
Sample
The average participant (N = 708; Fig 1) was 60.39 years old and female (65%). Twenty-eight percent of the sample identified as African American; the remainder were White (68%) or other ethnicities (1% Asian, 1% American Indian/Native Alaskan, and 2% multiracial). The majority were married or in a committed relationship (56%) and had a household income <$40,000 (USD) per year (40%). An additional 20% reported income <$60,000 (USD) per year. Only 25% reported full-time employment with the majority being retired (35%) or disabled (24%). Forty-one percent had a high school education or less with an additional 24% having some college. The majority of participants had advanced (stage III or IV) cancer (58%), and 30% indicated they took anxiety/allergy medication before their appointment (Table 1).
FIG 1.

CONSORT diagram. aNot analyzed in this study.
TABLE 1.
Patient Baseline Characteristics
The most frequently selected music genre was Motown (28%) followed by hits from the 80s (20%). The majority of intervention participants (90%) indicated they were very satisfied or quite satisfied with their music selection and listened to music for an average of 56.68 (SD = 8.23) minutes out of a possible 60-minute listening period. White patients had an even distribution of musical selection across all genres; by contrast, 65.4% of African American patients selected Motown for their musical genre.
Intervention Effects
There were no preintervention differences in pain, positive or negative mood, or distress levels between the music and control groups (all Padj values approaching 1.0). By contrast, there were significant differences (or trends P < .10) for all outcome measures at post-test (Padj = .004-.072). Music participants reported more positive and less negative mood, less distress, and lower pain postprocedure than control participants.
Change in Outcomes
As shown in Table 2, there was significant difference in change for three of the four outcomes (positive and negative mood and distress) between the music and control groups. However, there was no significant difference in change for pain between groups. There were also no differences in change outcomes on the basis of having a companion participate in the intervention (all P > .05).
TABLE 2.
Comparison Between Control and Music Group for Preoutcomes, Postoutcomes, and Pre- to Post-Intervention Change
Multivariable Analysis
A two-step process was used to explore covariates of change from pre- to post-intervention. First, LASSO penalized linear regression models with leave-one-out cross-validation were used to identify subsets of significant predictors among the set of 11 possible covariates for each outcome. No covariates were selected for change in negative mood; therefore, this outcome was dropped from further analysis. In a second step, multivariable models were constructed using the LASSO-selected subset of covariates for the three remaining outcomes (positive mood, pain, and distress). As shown in Table 3, positive mood was significantly associated with both intervention group assignment (Padj = .002) and relationship status (global Padj = .032). Specifically, participants in the music group had higher positive mood compared with those in the control group, and participants who were married or widowed were more likely to experience an improvement in mood than divorced, separated, or never married patients. Change in distress was not related to relationship status but was related to employment status (global Padj = .029). Participants receiving disability income reported greater reductions in distress postintervention (β = –.453 [.227]; Padj = .047) compared with those who were employed full-time or retired.
TABLE 3.
Multivariable Linear Regression Analyses of Factors Associated With Change From Pre- to Post-Intervention
DISCUSSION
Music has been used as an effective therapeutic tool for helping patients to improve, restore, or maintain health.15,16 Music has been shown to have positive effects on physical (ie, pain and fatigue) as well as psychological (ie, mood and quality of life) outcomes during cancer treatment.11,12,17 Given that patients receiving chemotherapy can experience high levels of distress, the ease, low cost, and safety of the intervention suggest it might have ideal application in the fast-paced but often stressful context of a cancer infusion clinic. This study proposed to address some of the methodologic limitations of previous studies on music therapy by testing the benefit of a receptive and self-guided music therapy intervention during chemotherapy infusion.
As expected, the findings provide support for the benefit of music as an intervention during infusion. Participants who listened to music reported significantly more positive and less negative, less distress, and lower pain postintervention than those in the control group. However, there was no significant change from pre- to post-intervention for pain. It is possible that pain is not amenable to such a brief intervention, particularly because the pain that patients with cancer experience is not transient. The often ongoing and prolonged treatment-related pain experienced by patients with cancer may be driven more by physiologic sensations of pain than psychological perceptions of pain, and as such, may be less responsive to nonpharmacologic intervention.18,19
The second research question examined the potential effects of covariates on change in outcomes. For positive mood, there was a selective benefit of relationship status; those who are married or widowed were more likely to experience an improvement in mood than divorced and separated patients. Previous research in general shows that married people have greater subjective well-being than those who are separated or divorced, and further, those who are divorced or separated are at greater risk for poor health outcomes, including higher mortality rates.20-24 It is possible that divorced and separated people are juggling a consistently elevated level of emotional and/or practical demands as a result of their relationship discord. For example, coparenting, changes in income and/or living situation, and even the lack of close support may lead to more chronic distress that is not easily mitigated by a music intervention. Notably, there were no significant differences by relationship status in positive mood before the intervention, underscoring the possibility that persistent distress, even at low levels, may not be responsive to state-based mood-enhancing interventions such as music medicine among certain groups.
There was also a selective benefit for distress on the basis of employment status. Patients who were on disability reported a greater reduction in distress than any other employment category (ie, employed full- or part-time, unemployed, retired, or working within the home). Perhaps participants on medical disability have greater overall stress because of the challenges of a chronic health condition(s) (eg, logistics of care, transportation, and financial aspects of care), and therefore, are more responsive to efforts designed to engender relaxation, reflection, and distraction.17
Interestingly, negative mood was not selected by the LASSO regression despite the significant changes from pre- to post-intervention. LASSO-based variable selection is based on a linear combination of covariates, and it is possible that negative mood has more complicated and/or nonlinear associations with music as an intervention. Although this exploration is beyond the scope of this research, future studies might benefit from exploring these types of models.
There were no significant effects of race, household income, cancer stage, or exposure to musical training on outcomes as has been considered in previous studies. The majority of patients were White with advanced cancer (stage III or IV) and household incomes ≤$60,000 (USD)/y, who were receiving chemotherapy as their only treatment. Perhaps the sample was sufficiently homogeneous with respect to these contextual factors such that there was not enough variability to have any meaningful effect. The majority of patients also reported listening to music with some frequency at home, so it is possible that the familiarity of listening to music, especially when combined with the ability to choose the music genre, is a uniformly pleasant experience without regard for most demographic or clinical factors.
This study has several potential limitations to note. First, the effect sizes for change in positive and negative mood and distress were small, and future research would benefit from exploration of how to enhance these outcomes. Second, the intervention was largely self-directed, and it is possible that the use of a music therapist would introduce factors such as therapeutic rapport, more time spent with the patient, and directed instructions about the benefits of music that would have yielded different results. Yet, this remains an empirical question, and the benefits of a low-cost, low-risk, and low-touch intervention cannot be overstated especially for under-resourced cancer care settings. Finally, this study did not test the benefit of music relative to other potential relaxation strategies (eg, watching television and reading) that are readily available to patients during infusion. Understanding the benefit of music in comparison with these other low-touch, cost-effective alternatives might provide additional clinical guidance about the use of these nonpharmacologic interventions during infusion.
In conclusion, the results of this rigorously designed large-scale, randomized trial of music medicine stand as evidence for the benefit of a music intervention for patients during chemotherapy infusion. Listening to music has clinical benefit for improving positive mood and reducing negative mood and distress. Other findings suggest that there may be selective benefits of music for some patients on the basis of relationship and employment status, and future research should likely be directed to understanding what other factors may mitigate negative mood states and pain for certain groups during treatment. Nevertheless, these findings demonstrate music medicine is a low-touch, cost-effective way to manage patients' psychological well-being in the often stressful context of a cancer infusion clinic.
Elisabeth I. Heath
Honoraria: Bayer, Sanofi, AstraZeneca, Genzyme, Janssen, Astellas Pharma, Caris Life Sciences, Johnson & Johnson/Janssen, Seagen
Consulting or Advisory Role: Bayer, Sanofi, AstraZeneca, Astellas Pharma, Bristol Myers Squibb, Janssen, Seagen
Speakers' Bureau: Sanofi
Research Funding: Tokai Pharmaceuticals (Inst), Seagen (Inst), Agensys (Inst), Dendreon (Inst), Genentech/Roche (Inst), Millennium (Inst), Celldex (Inst), Inovio Pharmaceuticals (Inst), Celgene (Inst), Zenith Epigenetics (Inst), Merck (Inst), AstraZeneca (Inst), Esanik (Inst), Oncolys BioPharma (Inst), Curemeta (Inst), Bristol Myers Squibb (Inst), eFFECTOR Therapeutics (Inst), Fortis (Inst), Astellas Pharma (Inst), Medivation (Inst), Ignyta (Inst), Synta (Inst), Caris Life Sciences (Inst), Boehringer Ingelheim (Inst), GlaxoSmithKline (Inst), Merck Sharp & Dohme (Inst), Plexxikon (Inst), Corcept Therapeutics (Inst), Infinity Pharmaceuticals (Inst), Bayer (Inst), Modra Pharmaceuticals (Inst), Pellficure (Inst), Champions Oncology (Inst), AIQ Solutions (Inst), Novartis (Inst), Janssen Research & Development (Inst), Mirati Therapeutics (Inst), Peloton Therapeutics (Inst), Daiichi Sankyo Inc (Inst), Calibr (Inst), Eisai (Inst), Pharmacyclics (Inst), Five Prime Therapeutics (Inst), Arvinas (Inst), BioXCel therapeutics (Inst), Calithera Biosciences (Inst), Corvus Pharmaceuticals (Inst), Exelixis (Inst), Gilead Sciences (Inst), Harpoon therapeutics (Inst), Roche (Inst), ITeos Therapeutics (Inst), Pfizer (Inst), POINT Biopharma (Inst)
Travel, Accommodations, Expenses: Caris Life Sciences
Other Relationship: Caris Centers of Excellence
No other potential conflicts of interest were reported.
See accompanying Editorial, p. 1089
SUPPORT
Supported by funding from the Barbara Ann Karmanos Cancer Institute.
CLINICAL TRIAL INFORMATION
DATA SHARING STATEMENT
A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/OP.22.00814.
AUTHOR CONTRIBUTIONS
Conception and design: Felicity W.K. Harper, Allison S. Heath, Seongho Kim, Elisabeth I. Heath
Provision of study materials or patients: Elisabeth I. Heath
Collection and assembly of data: Felicity W.K. Harper, Allison S. Heath, Tanina Foster Moore, Elisabeth I. Heath
Data analysis and interpretation: All authors
Manuscript writing: All authors
Final approval of manuscript: All authors
Accountable for all aspects of the work: All authors
AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
Using Music as a Tool for Distress Reduction During Cancer Chemotherapy Treatment
The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/op/authors/author-center.
Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments).
Elisabeth I. Heath
Honoraria: Bayer, Sanofi, AstraZeneca, Genzyme, Janssen, Astellas Pharma, Caris Life Sciences, Johnson & Johnson/Janssen, Seagen
Consulting or Advisory Role: Bayer, Sanofi, AstraZeneca, Astellas Pharma, Bristol Myers Squibb, Janssen, Seagen
Speakers' Bureau: Sanofi
Research Funding: Tokai Pharmaceuticals (Inst), Seagen (Inst), Agensys (Inst), Dendreon (Inst), Genentech/Roche (Inst), Millennium (Inst), Celldex (Inst), Inovio Pharmaceuticals (Inst), Celgene (Inst), Zenith Epigenetics (Inst), Merck (Inst), AstraZeneca (Inst), Esanik (Inst), Oncolys BioPharma (Inst), Curemeta (Inst), Bristol Myers Squibb (Inst), eFFECTOR Therapeutics (Inst), Fortis (Inst), Astellas Pharma (Inst), Medivation (Inst), Ignyta (Inst), Synta (Inst), Caris Life Sciences (Inst), Boehringer Ingelheim (Inst), GlaxoSmithKline (Inst), Merck Sharp & Dohme (Inst), Plexxikon (Inst), Corcept Therapeutics (Inst), Infinity Pharmaceuticals (Inst), Bayer (Inst), Modra Pharmaceuticals (Inst), Pellficure (Inst), Champions Oncology (Inst), AIQ Solutions (Inst), Novartis (Inst), Janssen Research & Development (Inst), Mirati Therapeutics (Inst), Peloton Therapeutics (Inst), Daiichi Sankyo Inc (Inst), Calibr (Inst), Eisai (Inst), Pharmacyclics (Inst), Five Prime Therapeutics (Inst), Arvinas (Inst), BioXCel therapeutics (Inst), Calithera Biosciences (Inst), Corvus Pharmaceuticals (Inst), Exelixis (Inst), Gilead Sciences (Inst), Harpoon therapeutics (Inst), Roche (Inst), ITeos Therapeutics (Inst), Pfizer (Inst), POINT Biopharma (Inst)
Travel, Accommodations, Expenses: Caris Life Sciences
Other Relationship: Caris Centers of Excellence
No other potential conflicts of interest were reported.
REFERENCES
- 1.Ries LAG, Harkins D, Krapcho M, Mariotto A, Miller BA, Feuer EJ, Clegg L, Eisner MP, Horner MJ, Howlader N, Hayat M, Hankey BF, Edwards BK. (eds). SEER Cancer Statistics Review, 1975–2003, National Cancer Institute, Bethesda, MD. https://seer.cancer.gov/csr/1975_2003/
- 2.National Cancer Institute : Common Terminology Criteria for Adverse Events (CTCAE) v5.0. Bethesda, MD, 2018 [Google Scholar]
- 3.Zabora J, BrintzenhofeSzoc K, Curbow B, et al. : The prevalence of psychological distress by cancer site. Psychooncology 10:19-28, 2001 [DOI] [PubMed] [Google Scholar]
- 4.Bro ML, Jespersen KV, Hansen JB, et al. : Kind of blue: A systematic review and meta-analysis of music interventions in cancer treatment. Psychooncology 27:386-400, 2018 [DOI] [PubMed] [Google Scholar]
- 5.Lin MF, Hsieh YJ, Hsu YY, et al. : A randomised controlled trial of the effect of music therapy and verbal relaxation on chemotherapy-induced anxiety. J Clin Nurs 20:988-999, 2011 [DOI] [PubMed] [Google Scholar]
- 6.Hilliard RE: The effects of music therapy on the quality and length of life of people diagnosed with terminal cancer. J Music Ther 40:113-137, 2003 [DOI] [PubMed] [Google Scholar]
- 7.Burns SJ, Harbuz MS, Hucklebridge F, et al. : A pilot study into the therapeutic effects of music therapy at a cancer help center. Altern Ther Health Med 7:48-56, 2001 [PubMed] [Google Scholar]
- 8.Bulfone T, Quattrin R, Zanotti R, et al. : Effectiveness of music therapy for anxiety reduction in women with breast cancer in chemotherapy treatment. Holist Nurs Pract 23:238-242, 2009 [DOI] [PubMed] [Google Scholar]
- 9.Krishnaswamy P, Nair S: Effect of music therapy on pain and anxiety levels of cancer patients: A pilot study. Indian J Palliat Care 22:307-311, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bradt J, Potvin N, Kesslick A, et al. : The impact of music therapy versus music medicine on psychological outcomes and pain in cancer patients: A mixed methods study. Support Care Cancer 23:1261-1271, 2015 [DOI] [PubMed] [Google Scholar]
- 11.Gramaglia C, Gambaro E, Vecchi C, et al. : Outcomes of music therapy interventions in cancer patients-A review of the literature. Crit Rev Oncol Hematol 138:241-254, 2019 [DOI] [PubMed] [Google Scholar]
- 12.Latif AI, Alhidayat NS, Putra SH, et al. : Effectiveness of music therapy in reducing the level of anxiety among cancer patients undergoing chemotherapy. Enfermeria Clinica 30:204-207, 2020 [Google Scholar]
- 13.Bradt J, Dileo C, Magill L, Teague A: Music interventions for improving psychological and physical outcomes in cancer patients. Review 8:CD006911, 2016 [DOI] [PubMed] [Google Scholar]
- 14.Watson D, Clark LA, Tellegen A: Development and validation of brief measures of positive and negative affect: The PANAS scales. J Pers Soc Psychol 54:1063-1070, 1988 [DOI] [PubMed] [Google Scholar]
- 15.Hillecke T, Nickel A, Bolay HV: Scientific perspectives on music therapy. Ann NY Acad Sci 1060:271-282, 2005 [DOI] [PubMed] [Google Scholar]
- 16.Bruscia KE: Case Studies in Music Therapy. New Braunfels, TX, Barcelona Pub, 1991 [Google Scholar]
- 17.Maratos AS, Gold C, Wang X, Crawford: Music therapy for depression. Cochrane Database Syst Rev 1:CD004517, 2008 [DOI] [PubMed]
- 18.McGrath PA: Psychological aspects of pain perception. Arch Oral Biol 39:55s-62s, 1994 [DOI] [PubMed] [Google Scholar]
- 19.Sumimoto H, Hayashi K, Kimura Y, et al. : Factors associated with cancer-related pain requiring high-dose opioid use in palliative cancer patients. Palliat Med Rep 2:237-241, 2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gove W, Style C, Hughes M: The effect of marriage on the well-being of adults: A theoretical analysis. J Fam Issues 11:4-35, 1990 [Google Scholar]
- 21.Ben-Zur H: Loneliness, optimism, and well-being among married, divorced, and widowed individuals. J Psychol 146:23-36, 2012 [DOI] [PubMed] [Google Scholar]
- 22.Pudrovska T, Carr D: Psychological adjustment to divorce and widowhood in mid- and later life: Do coping strategies and personality protect against psychological distress? Adv Life Course Res 13:283-317, 2008 [Google Scholar]
- 23.Doherty WJ, Su S, Needle R: Marital disruption and psychological well-being: A panel study. J Fam Issues 10:72-85, 1989 [Google Scholar]
- 24.Sbarra DA: Divorce and health: Current trends and future directions. Psychosom Med 77:227-236, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zigmond AS, Snaith RP: The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361-370, 1983 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
A data sharing statement provided by the authors is available with this article at DOI https://doi.org/10.1200/OP.22.00814.



