Personality Traits of Choral Singers and Their Association with Perceived Mental Well-Being
Abstract
:1. Introduction
2. Materials and Methods
2.1. Procedures
2.2. Participants
2.3. Intruments and Measurements
2.3.1. NEO-FFI-30 Questionnaire
2.3.2. WHO-5 Well-Being Index
2.3.3. BCQ-2000 Questionnaire
2.4. Data Analysis
3. Results
3.1. Reported Mental Well-Being
3.2. Big Five Dimensions
3.2.1. Gender and Age Group Comparisons of Personal Traits
3.2.2. Comparison of Choral Singers with Population Sample
3.3. Associations Between Personality Traits and Reported Mental Well-Being
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Anglim, J., Horwood, S., Smillie, L. D., Marrero, R. J., & Wood, J. K. (2020). Predicting psychological and subjective well-being from personality: A meta-analysis. Psychology Bulletin, 146(4), 279–323. [Google Scholar] [CrossRef] [PubMed]
- Bernardi, N. F., Snow, S., Peretz, I., Orozco Perez, H. D., Sabet-Kassouf, N., & Lehmann, A. (2017). Cardiorespiratory optimization during improvised singing and toning. Scientific Reports, 7(1), 8113. [Google Scholar] [CrossRef] [PubMed]
- Brähler, E., Mühlan, H., Albani, C., & Schmidt, S. (2007). Teststatistische prüfung und normierung der deutschen versionen des EUROHIS-QOL lebensqualität-index und des WHO-5 wohlbefindens-index. [Testing and standardization of the German version of the EUROHIS-QOL and WHO-5 quality-of life-indices.]. Diagnostica, 53(2), 83–96. [Google Scholar] [CrossRef]
- Butkovic, A., Brkovic, I., & Bratko, D. (2012). Predicting well-being from personality in adolescents and older adults. Journal of Happiness Studies: An Interdisciplinary Forum on Subjective Well-Being, 13(3), 455–467. [Google Scholar] [CrossRef]
- Cameron, J. E., Duffy, M., & Glenwright, B. (2015). Singers take center stage! Personality traits and stereotypes of popular musicians. Psychology of Music, 43(6), 818–830. [Google Scholar] [CrossRef]
- Clift, S. (2012). Singing, wellbeing, and health. In R. A. R. MacDonald, G. Kreutz, & L. Mitchell (Eds.), Music, health, and wellbeing (pp. 113–124). Oxford University Press. [Google Scholar] [CrossRef]
- Clift, S., Hancox, G., Morrison, I., Hess, B., Kreutz, G., & Stewart, D. (2010). Choral singing and psychological wellbeing: Quantitative and qualitative findings from English choirs in a cross-national survey. Journal of Applied Arts & Health, 1, 19–34. [Google Scholar] [CrossRef]
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum Associates. [Google Scholar]
- Costa, P. T., Terracciano, A., & McCrae, R. R. (2001). Gender differences in personality traits across cultures: Robust and surprising findings. Journal of Personality and Social Psychology, 81(2), 322–331. [Google Scholar] [CrossRef]
- Donnellan, M. B., & Lucas, R. E. (2008). Age differences in the Big Five across the life span: Evidence from two national samples. Psychology and Aging, 23(3), 558–566. [Google Scholar] [CrossRef]
- ECA. (2023). The European choral association: Singing Europe final report. Available online: https://europeanchoralassociation.org/wp-content/uploads/2019/01/singingeurope_report.pdf (accessed on 27 July 2023).
- Gick, M. L., & Nicol, J. J. (2015). Singing for respiratory health: Theory, evidence and challenges. Health Promotion International, 31(3), 725–734. [Google Scholar] [CrossRef]
- Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26–42. [Google Scholar] [CrossRef]
- Grant, S., Langan-Fox, J., & Anglim, J. (2009). The big five traits as predictors of subjective and psychological well-being. Psychological Reports, 105(1), 205–231. [Google Scholar] [CrossRef] [PubMed]
- Harris, M. A., Brett, C. E., Johnson, W., & Deary, I. J. (2016). Personality stability from age 14 to age 77 years. Psychology and Aging, 31(8), 862–874. [Google Scholar] [CrossRef] [PubMed]
- Kamalulil, E. N., & Panatik, S. A. (2021). Socioeconomic status and mental health among low-income employees: A systematic literature review. Pertanika Journal of Social Sciences & Humanities, 29(3), 1853–1874. [Google Scholar]
- Kirkbride, J. B., Anglin, D. M., Colman, I., Dykxhoorn, J., Jones, P. B., Patalay, P., Pitman, A., Soneson, E., Steare, T., Wright, T., & Griffiths, S. L. (2024). The social determinants of mental health and disorder: Evidence, prevention and recommendations. World psychiatry: Official journal of the World Psychiatric Association (WPA), 23(1), 58–90. [Google Scholar] [CrossRef]
- Körner, A., Geyer, M., & Brähler, E. (2002). Das NEO-Fünf-Faktoren Inventar (NEO-FFI): Validierung anhand einer deutschen Bevölkerungsstichprobe. [German validation of the NEO Five-Factor Inventory.]. Diagnostica, 48(1), 19–27. [Google Scholar] [CrossRef]
- Körner, A., Geyer, M., Roth, M., Drapeau, M., Schmutzer, G., Albani, C., Schumann, S., & Brähler, E. (2008). Persönlichkeitsdiagnostik mit dem NEO-fünf-faktoren-inventar: Die 30-item-kurzversion (NEO-FFI-30) [Personality assessment with the NEO-Five-factor inventory: The 30-item-short-version (NEO-FFI-30)]. PPmP-Psychotherapie· Psychosomatik· Medizinische Psychologie, 58(06), 238–245. [Google Scholar] [CrossRef]
- Kreutz, G., Bongard, S., Rohrmann, S., Hodapp, V., & Grebe, D. (2005). Effects of choir singing or listening on secretory immunoglobulin A, cortisol, and emotional state. Journal of Behavioral Medicine, 27, 623–635. [Google Scholar] [CrossRef]
- Landa, J. M. A., Martos, M. P., & López-Zafra, E. (2010). Emotional intelligence and personality traits as predictors of psychological well-being in Spanish undergraduates. Social Behavior and Personality: An International Journal, 38(6), 783–794. [Google Scholar] [CrossRef]
- Lewis, A., Cave, P., Stern, M., Welch, L., Taylor, K., Russell, J., Doyle, A.-M., Russell, A.-M., McKee, H., Clift, S., Bott, J., & Hopkinson, N. S. (2016). Singing for lung health—A systematic review of the literature and consensus statement. NPJ Primary Care Respiratory Medicine, 26(1), 16080. [Google Scholar] [CrossRef]
- Mansens, D., Deeg, D. J. H., & Comijs, H. C. (2018). The association between singing and/or playing a musical instrument and cognitive functions in older adults. Aging & Mental Health, 22(8), 970–977. [Google Scholar] [CrossRef]
- McCrae, R. R., & Costa, P. T., Jr. (1989). More reasons to adopt the five-factor model. American Psychologist, 44(2), 451–452. [Google Scholar] [CrossRef]
- Meléndez, J. C., Satorres, E., Cujiño, M. A., & Reyes, M. F. (2019). Big Five and psychological and subjective well-being in Colombian older adults. Archives of Gerontology and Geriatrics, 82, 88–93. [Google Scholar] [CrossRef]
- Myers, I. B., McCaulley, M. H., Quenk, N. L., & Hammer, A. L. (1998). A guide to the development and use of the Myers-Briggs type indicator. Consulting Psychologists Press. [Google Scholar]
- Navarro-Carrillo, G., Alonso-Ferres, M., Moya, M., & Valor-Segura, I. (2020). Socioeconomic status and psychological well-being: Revisiting the role of subjective socioeconomic status. Frontiers in Psychology, 11, 1303. [Google Scholar] [CrossRef] [PubMed]
- Pentikäinen, E., Pitkäniemi, A., Siponkoski, S.-T., Jansson, M., Louhivuori, J., Johnson, J. K., Paajanen, T., & Särkämö, T. (2021). Beneficial effects of choir singing on cognition and well-being of older adults: Evidence from a cross-sectional study. PLoS ONE, 16(2), e0245666. [Google Scholar] [CrossRef]
- Reardon MacLellan, C. (2011). Differences in Myers-Briggs personality types among high school band, orchestra, and choir members. Journal of Research in Music Education, 59(1), 85–100. [Google Scholar] [CrossRef]
- Robens, S., Monstadt, A., Hagen, A., & Ostermann, T. (2022). Effects of choir singing on mental health: Results of an online cross-sectional study. Journal of Voice, 38(6), 1397–1406. [Google Scholar] [CrossRef]
- Sandgren, M. (2019). Exploring personality and musical self-perceptions among vocalists and instrumentalists at music colleges. Psychology of Music, 47(4), 465–482. [Google Scholar] [CrossRef]
- Schmitt, D. P., Long, A. E., McPhearson, A., O’Brien, K., Remmert, B., & Shah, S. H. (2017). Personality and gender differences in global perspective. International Journal of Psychology, 52(S1), 45–56. [Google Scholar] [CrossRef]
- Stewart, N. A. J., & Lonsdale, A. J. (2016). It’s better together: The psychological benefits of singing in a choir. Psychology of Music, 44(6), 1240–1254. [Google Scholar] [CrossRef]
- Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015). The WHO-5 Well-Being Index: A systematic review of the literature. Psychotherapy and Psychosomatics, 84(3), 167–176. [Google Scholar] [CrossRef]
- Torrance, T. A., & Bugos, J. A. (2017). Music ensemble participation: Personality traits and music experience. Update: Applications of Research in Music Education, 36(1), 28–36. [Google Scholar] [CrossRef]
- Unwin, M. M., Kenny, D. T., & Davis, P. J. (2002). The effects of group singing on mood. Psychology of Music, 30(2), 175–185. [Google Scholar] [CrossRef]
- Vickhoff, B., Malmgren, H., Åström, R., Nyberg, G., Engvall, M., Snygg, J., Nilsson, M., & Jörnsten, R. (2013). Music structure determines heart rate variability of singers [Original Research]. Frontiers in Psychology, 4, 334. [Google Scholar] [CrossRef]
- Willutzki, U., Ülsmann, D., Schulte, D., & Veith, A. (2013). Direkte veränderungsmessung in der psychotherapie. Zeitschrift für Klinische Psychologie und Psychotherapie, 42(4), 256–268. [Google Scholar] [CrossRef]
n | % or M (SD) | |
---|---|---|
Gender | ||
Male (m) | 205 | 27.0% |
Female (f) | 555 | 73.0% |
Age (years) | 760 | 47.10 (14.03) |
18–29 | 114 | 15.0% |
30–44 | 181 | 23.8% |
45–59 | 327 | 43.0% |
≥60 | 138 | 18.2% |
Graduation 1 | ||
High | 596 | 78.5% |
Intermediate | 131 | 17.3% |
Basic | 26 | 3.4% |
Other | 6 | 0.8% |
Employement Status | ||
Student | 93 | 12.2% |
Employed | 442 | 58.2% |
Self-employed | 93 | 12.2% |
Homemaker | 15 | 2.0% |
Retired | 99 | 13.0% |
Unemployed | 9 | 1.2% |
Other | 9 | 1.2% |
Martial status | ||
Single | 159 | 20.9% |
Married/in a relationship | 302 | 39.7% |
Divorced | 28 | 3.7% |
Widowed | 11 | 1.4% |
N/A | 7 | 0.9% |
Years singing in choir(s) | 760 | 21.12 (13.49) |
Singing solo parts | ||
yes | 223 | 29.3 |
no | 537 | 70.7 |
Choral music style (multiple answers) | ||
Sacred | 492 | 64.7 |
Secular | 447 | 58.8 |
Contemporally | 410 | 53.9 |
Classical | 470 | 61.8 |
n | % or M (SD) | |
---|---|---|
WHO-5 general well-being | 760 | 14.61 (4.85) |
Low (<13) | 250 | 32.9% |
Moderate to good (≥13) | 510 | 67.1% |
Mental health changes from singing (BCQ-2000) | ||
● Explicit positive change | 758 | 4.98 (0.88) |
Negative or neutral (≤4) | 106 | 13.9% |
Positive (>4) | 652 | 85.8% |
● Reduction in mental stress | 758 | 4.94 (0.88) |
Negative or neutral (≤4) | 97 | 12.8% |
Positive (>4) | 661 | 87.0% |
● Interaction change | 758 | 4.74 (0.83) |
Negative or neutral (≤4) | 191 | 25.1% |
Positive (>4) | 567 | 74.6% |
NEO-FFI-30 Big Five Personality Traits | ||||||
---|---|---|---|---|---|---|
Neuroticism | Extraversion 1 | Openness to Experience | Agreeable-Ness | Conscientious- Ness | ||
n | M (SD) | M (SD) | M (SD) | M (SD) | M (SD) | |
Total | 760 | 1.48 (0.80) | 2.40 (0.59) | 2.60 (0.69) | 2.98 (0.55) | 2.98 (0.57) |
Gender | ||||||
Male | 205 | 1.30 (0.81) | 2.37 (0.58) | 2.56 (0.70) | 2.87 (0.59) | 2.89 (0.59) |
Female | 555 | 1.55 (0.79) | 2.41 (0.60) | 2.61 (0.69) | 3.03 (0.52) | 3.01 (0.56) |
Age (yrs) | ||||||
18–29 yrs | 114 | 1.76 (0.83) | 2.49 (0.61) | 2.54 (0.76) | 3.00 (0.61) | 2.93 (0.61) |
30–44 yrs | 181 | 1.68 (0.80) | 2.34 (0.58) | 2.52 (0.77) | 2.90 (0.53) | 2.90 (0.53) |
45–59 yrs | 327 | 1.45 (0.77) | 2.37 (0.60) | 2.64 (0.67) | 2.99 (0.53) | 2.99 (0.53) |
≥60 yrs | 138 | 1.07 (0.64) | 2.46 (0.57) | 2.64 (0.57) | 3.06 (0.54) | 3.09 (0.58) |
Dependent Variable | ||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
WHO-5 Well-Being Index | BCQ-2000 Explicit Positive Change | BCQ-2000 Reduction in Mental Stress | BCQ-2000 Interaction Change | |||||||||||||||||||||
b | SE(b) | β | 95% CI(b) | p | b | SE(b) | β | 95% CI(b) | p | b | SE(b) | β | 95% CI(b) | p | b | SE(b) | β | 95% CI(b) | p | |||||
LL | UL | LL | UL | LL | UL | LL | UL | |||||||||||||||||
Intercept | 7.56 | 1.61 | 4.40 | 10.72 | <0.001 | 3.75 | 0.35 | 3.07 | 4.42 | <0.001 | 4.06 | 0.35 | 3.37 | 4.75 | <0.001 | 4.17 | 0.33 | 3.53 | 4.82 | <0.001 | ||||
Age (y) | 0.03 | 0.01 | 0.08 | 0.01 | 0.05 | 0.010 | −0.03 | 0.02 | −0.05 | −0.07 | 0.02 | 0.227 | −0.04 | 0.02 | −0.06 | −0.01 | 0.01 | 0.134 | −0.04 | 0.02 | −0.06 | −0.01 | 0.01 | 0.099 |
Gender (Ref. male) | −0.01 | 0.34 | −0.001 | −0.68 | 0.66 | 0.968 | −0.07 | 0.07 | −0.04 | −0.22 | 0.07 | 0.319 | −0.01 | 0.08 | −0.01 | −0.16 | 0.13 | 0.847 | −0.18 | 0.07 | −0.10 | −0.32 | −0.04 | 0.010 |
Neuroticism | −1.95 | 0.22 | −0.32 | −2.38 | −1.51 | <0.001 | −0.02 | 0.05 | −0.02 | −0.11 | 0.08 | 0.717 | −0.03 | 0.05 | −0.02 | −0.12 | 0.07 | 0.595 | 0.01 | 0.05 | 0.01 | −0.08 | 0.10 | 0.771 |
Extraversion | 2.40 | 0.27 | 0.29 | 1.87 | 2.93 | <0.001 | 0.25 | 0.06 | 0.17 | 0.13 | 0.36 | <0.01 | 0.16 | 0.06 | 0.11 | 0.05 | 0.28 | 0.06 | 0.22 | 0.06 | 0.15 | 0.11 | 0.33 | <0.01 |
Openness | 0.05 | 0.21 | 0.01 | −0.37 | 0.47 | 0.803 | 0.06 | 0.05 | 0.05 | −0.03 | 0.15 | 0.161 | 0.12 | 0.05 | 0.10 | 0.03 | 0.21 | 0.010 | 0.08 | 0.04 | 0.07 | −0.01 | 0.16 | 0.074 |
Agreeableness | 0.08 | 0.28 | 0.01 | −0.48 | 0.64 | 0.771 | 0.17 | 0.06 | 0.12 | 0.05 | 0.29 | 0.05 | 0.05 | 0.06 | 0.03 | −0.07 | 0.17 | 0.446 | 0.10 | 0.06 | 0.07 | −0.01 | 0.21 | 0.085 |
Conscientiousness | 0.84 | 0.28 | 0.10 | 0.29 | 1.39 | 0.003 | 0.08 | 0.06 | 0.05 | −0.03 | 0.20 | 0.161 | 0.09 | 0.06 | 0.06 | −0.03 | 0.21 | 0.138 | 0.0 | 0.06 | 0.03 | −0.11 | 0.12 | 0.945 |
Model Fit | F(7, 750) = 52.11 *** R2 (adj. R2) = 0.327 (0.321) | F(7, 750) = 7.271 *** R2 (adj. R2) = 0.064 (0.055) | F(7, 750) = 4.164 *** R2 (adj. R2) = 0.037 (0.028) | F(7, 750) = 5.077 *** R2 (adj. R2) = 0.045 (0.036) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Robens, S.; Monstadt, A.; Hagen, A.; Ostermann, T. Personality Traits of Choral Singers and Their Association with Perceived Mental Well-Being. Behav. Sci. 2025, 15, 570. https://doi.org/10.3390/bs15050570
Robens S, Monstadt A, Hagen A, Ostermann T. Personality Traits of Choral Singers and Their Association with Perceived Mental Well-Being. Behavioral Sciences. 2025; 15(5):570. https://doi.org/10.3390/bs15050570
Chicago/Turabian StyleRobens, Sibylle, Alexandra Monstadt, Alexander Hagen, and Thomas Ostermann. 2025. "Personality Traits of Choral Singers and Their Association with Perceived Mental Well-Being" Behavioral Sciences 15, no. 5: 570. https://doi.org/10.3390/bs15050570
APA StyleRobens, S., Monstadt, A., Hagen, A., & Ostermann, T. (2025). Personality Traits of Choral Singers and Their Association with Perceived Mental Well-Being. Behavioral Sciences, 15(5), 570. https://doi.org/10.3390/bs15050570