| Literature DB >> 30886598 |
Simone Willis1, Rich Neil1, Mikel Charles Mellick1, David Wasley1.
Abstract
Background: Performing artists are exposed to a range of occupational demands from organisational, interpersonal and intrapersonal sources, which may impact their well-being. The aim of this systematic review was to evaluate and synthesise the literature where researchers have considered the relationship between occupational demands and well-being in performing artists.Entities:
Keywords: dancer; happiness; musician; occupational stress; performing artists; systematic review; well-being; wellbeing
Year: 2019 PMID: 30886598 PMCID: PMC6409325 DOI: 10.3389/fpsyg.2019.00393
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Summary of included studies.
| Abeles and Hafeli, | Symphony orchestra musicians | 47 | USA F16 M31 | Qualitative: Semi-structured interview | Explore motivations of musicians to contribute to school education programmes and assess how such participation affects career perceptions | Motivations for participation Programme experiences | Delivering the programme was experienced as an opportunity for professional development and led to positive relationships with the community, autonomy, self-expression and positive affect. |
| Allmendinger et al., | Symphony orchestra musicians | 1,123 | UK, USA, Germany | Mixed-methods: Interview Observation Questionnaire Archival documents | Explore differences in orchestras and musicians' career profiles from the UK, USA and Germany | Operational information Orchestra integrity Player involvement Resources Player recognition Recruitment procedures Satisfaction Career mobility Gender representation Perceptions on gender representation | Musicians were satisfied with relationships with colleagues, though scored low for satisfaction with pay and management. |
| Ascenso et al., | Classical musicians | 6 | Germany, Portugal, Spain, UK F3 M3 Age range 32–52 (mean = 43.17) | Qualitative: Interview Diary | Understand the well-being of professional musicians | Developed from PERMA profiler | Musicians had high well-being. Factors contributing to well-being included understanding identity, making music and relationships. Challenges to well-being included relationships with management, monotony in rehearsals and transition into the profession. |
| Bodner and Bensimon, | Band musicians | 38 | Israel F8 M30 Age range 22–45 (mean = 28.82) | Quantitative; 2 × 2 (condition × time) mixed model MANOVA | Assess the adjustment of solo singers after performance and explore mental health | Affect Self-esteem Purpose in life Mental Health | Singers scored higher on purpose in life, negative affect and positive affect before performance compared to after. Higher well-being and lower distress were related to higher purpose in life after performance. |
| Brodsky, | Symphony orchestra musicians | 54 | UK Age range 22–55 (mean = 35.5) | Qualitative: Semi-structured interview | Explore the occupational experiences of orchestral musicians | Gains, risks and costs of orchestral career | Factors contributing to well-being included relationships with colleagues, emotional satisfaction, sharing performances, task variety, learning, feelings of accomplishment. Challenges to well-being included maintaining relationships, cognitive effort required for performance, maladaptive coping, low autonomy and limited career progression. |
| Burgoyne et al., | University student actors | 15 | USA | Qualitative: Interview | Understand the impact of acting on student actors | N/A (Grounded theory approach) | Contributors to well-being included development of empathetic and relationship skills and experiencing meaning. Challenges to well-being included relationships with directors, distressing content and maintaining personality characteristics. |
| Cooper et al., | Popular musicians | 70 | UK M70 Age range 22–62 (mean = 40) | Mixed-method: In-depth interview Questionnaire | Assess the major sources of stress experienced by popular musicians | Stress Personality | Low job satisfaction was related to working with groups that lacked personal and professional cohesion. |
| Dobson, | Classical and jazz musicians | 18 | UK F7 M11 Age range 21–34 (mean = 24.6) | Qualitative: Semi-structured interview | Explore the occupational demands placed on classical and jazz musicians and explore differences in experiences of autonomy | Creativity Work Control Demands Lifestyle Well-being | Identity, emotional investment and autonomy related to well-being. Musicians highly identified with their profession and experienced guilt after mistakes. Jazz players experienced greater autonomy compared to orchestral musicians. |
| Draugelis et al., | University dance students | 182 | USA F157 M25 Age range 18–43 (mean = 20.4) | Quantitative: Cross-sectional questionnaire | Assess the contributions of motivational climate, dance performance anxiety and dance self-concept to well-being | Motivational Climate Dance self-Concept Dance Anxiety Well-being | Motivational climate and dance self-concept significantly related to well-being of dancers. |
| Johansson and Theorell, | Orchestra musicians | 250 | Sweden F93 M155 Mean age = 39 | Quantitative: Cross-sectional questionnaire | Identify factors determining well-functioning groups and issues for orchestral musicians | Orchestra status Job security Quality of work tasks Psychosocial factors Health | Quality of work tasks, psychosocial factors and social support significantly correlated with well-being. Musicians in elite orchestras and those with lower support reported lower well-being. |
| Kenny et al., | Orchestra musicians | Survey | Australia F206 M198 Mean age = 42.1 | Quantitative: Cross-sectional questionnaire Physical examination | Explore factors impacting on health | Performance-related musculoskeletal pain disorders (PRMD) Music performance anxiety Practice and organisational factors Prevalence of bullying Occupational satisfaction | Job satisfaction was consistent across orchestra types. Musicians in stage orchestras were more satisfied with their workplace, employers, relationships with management, colleagues, pay and career progression. |
| Kivimaki and Jokinen, | Orchestral musicians | 93 | Finland F28 M65 | Quantitative: Cross-sectional questionnaire | Assess job perceptions and well-being among musicians and compare results to other occupational groups | Job perceptions Well-being Performance anxiety | High job satisfaction was reported by 90% of musicians, which was significantly higher than other occupational groups. High job satisfaction correlated with high levels of skill variety and autonomy, and with fewer conflicts in interpersonal relationships. |
| Kubacki, | Jazz musicians | 16 | UK, Poland F2 M14 Age range approx. 26–65 | Qualitative: In-depth biographical interview | Explore experiences of the creation of live performance | Career experiences | Organising function engagements was associated with negative affect. Participants reported both negative and positive relationships with the audience. |
| Mogelof and Rohrer, | Symphony orchestra musicians | Survey | USA F27 M39 Age range 23–74 (mean age = 45.94) | Mixed-method case study: Cross-sectional questionnaire Interviews | Explore how musicians cope with career frustrations and disappointments | Job satisfaction Tenure Organisational status Coping behaviours | Orchestral status was an important factor relating to well-being. Elite orchestral musicians were more satisfied although job satisfaction decreased over time. Non-elite orchestral musicians were more satisfied with contribution to governance, though were less satisfied with job security and pay. |
| Parasuraman and Purohit, | Symphony orchestra musicians | 63 | USA F37 M26 Age range 22–63 (mean = 33.5) | Quantitative: Cross-sectional questionnaire | Assess the effects of organisational demands on psychological health and well-being | Stressors Psychological distress Boredom stress Job dissatisfaction Job involvement Instrument group | Occupational demands of task difficulty, performance anxiety, social tension, lack of artistic integrity and work environment correlated with job dissatisfaction. |
| Perkins et al., | Current and graduated conservatoire music students | 20 | UK F15 M5 Age range 18–24 | Qualitative; Semi-structured interviews | Explore enablers and barriers to health and well-being in the conservatoire environment | Attitudes to health and well-being Enablers and barriers to health and well-being | Challenges to well-being included irregular schedules, time management, financial difficulties, teacher/pupil relationship, performance goals, comparison with peers, performance evaluation. Contributors to well-being included successful performance and relationships. |
| Quested et al., | Dance conservatoire students | 55 | Hong Kong F41 M9 (mean age = 20.58) | Quantitative: Diary methodology | Assess relationships between autonomy support, basic psychological need satisfaction and changes in affective states across different dance situations | Dance genre Perceived autonomy support Basic psychological need satisfaction Well-being | Perceived autonomy support significantly predicted basic psychological need satisfaction. Basic psychological need satisfaction contributed to changes in affect. |
| Robb et al., | Actors | 20 | Australia F10 M10 Age range 22–66 | Qualitative: Semi-structured interviews | Explore factors that impact the psychological well-being of actors | Well-being Acting Demands Personal characteristics | Challenges to well-being for actors included job insecurity, financial insecurity, maladaptive alcohol consumption, perfectionistic tendencies and distressing content. Contributors to well-being included career engagement, relationships with audiences, creative expression and personal growth. Relationships with colleagues were experienced as both contributing to and detracting from well-being. |
| Sandgren, | Opera singers | Interview | Sweden Qual: F8 M7 Age range 27–65 Quant: F25 M24 Age range 21–65 | Mixed-methods: Semi-structured interviews Cross-sectional questionnaire | Explore problems, coping strategies and motivation of opera singers and how these aspects relate to mental and physical health | Demands Coping Motivational factors Somatic problems Depressive tendencies Addictive behaviour Worry Performance anxiety | Inability to sing related to negative affect. Job insecurity, rehearsal schedules and avoidance of social environments impacted on personal relationships. Performance related to positive affect and mastery. |
| Smith, | Retired symphony orchestra musicians | 14 | USA M14 Age range 57–90 | Qualitative: Semi-structured interview | Explore career experiences, medical problems and career perceptions | Medical problems Career | Job satisfaction related to being part of a successful team. Job dissatisfaction was related to relationships with colleagues, managing schedules and lack of recognition. |
Figure 1Flow diagram for study inclusion adapted from Moher et al. (2009).
Total MMAT scores.
| Unclassified | 3 |
| 25% | 8 |
| 50% | 5 |
| 75% | 3 |
| 100% | 1 |
Quality assessment scores using MMAT (Pluye et al., 2011).
| Abeles and Hafeli, | No | Yes | No | No | ||||||||
| Allmendinger et al., | No | No | No | No | No | No | No | Can't tell | No | Yes | No | U |
| Ascenso et al., | Yes | Yes | No | No | ||||||||
| Bodner and Bensimon, | No | No | Yes | Yes | ||||||||
| Brodsky, | Yes | Yes | Yes | No | ||||||||
| Burgoyne et al., | No | Yes | No | No | ||||||||
| Cooper et al., | No | Can't tell | No | No | No | No | No | Can't tell | No | No | No | U |
| Dobson, | No | No | No | No | U | |||||||
| Draugelis et al., | Can't tell | Can't tell | Yes | Can't tell | ||||||||
| Johansson and Theorell, | Yes | Yes | No | Yes | ||||||||
| Kenny et al., | Yes | Yes | Yes | Yes | ||||||||
| Kivimaki and Jokinen, | Yes | No | Yes | No | ||||||||
| Kubacki, | No | Yes | No | No | ||||||||
| Mogelof and Rohrer, | Can't tell | Yes | No | No | Yes | No | Yes | No | Yes | Yes | No | |
| Parasuraman and Purohit, | No | No | No | Yes | ||||||||
| Perkins et al., | Yes | Yes | No | Yes | ||||||||
| Quested et al., | Yes | No | Yes | Can't tell | ||||||||
| Robb et al., | Yes | Yes | No | No | ||||||||
| Sandgren, | Yes | Yes | No | No | No | No | No | Yes | Yes | No | No | |
| Smith, | Yes | No | No | No | ||||||||
meets 25% of MMAT criteria.
meets 50% of MMAT criteria.
meets 75% of MMAT criteria.
meets 100% of MMAT criteria.
U, Unclassified.