What barriers do people experience to engaging in the arts? Structural equation modelling of the relationship between individual characteristics and capabilities, opportunities, and motivations to engage
Open accessAbstract
OBJECTIVES: Participation in the arts has well-documented benefits for health. However, participation in the arts is socially patterned, and it remains unclear why this is: what factors act as barriers or enablers of individual arts engagement. Therefore this study explored how individual characteristics predict individuals' capabilities, opportunities and motivations to engage in participatory arts activities. METHODS: We analysed data from 6,867 adults in the UK (61.2% female, average age 46.7 years) who engage infrequently in performing arts, visual arts, design and crafts, literature-related activities, or online, digital and electronic arts. We constructed a structural equation model to explore the relationship between demographic factors (including age, sex, ethnicity or socio-economic status), health factors (including physical and mental health) or social factors (including living alone, urban density, loneliness or socialising) and perceived barriers to arts engagement. RESULTS: Individuals with poorer physical and mental health experienced more barriers affecting their perceived capabilities to engage in the arts, whilst individuals with poorer mental health also described experiencing more barriers affecting their motivations to engage. Individuals of lower SES reported more barriers in terms of opportunities to engage, whilst loneliness was related to more barriers around opportunities and motivations and living alone was associated with more opportunity barriers. Interestingly, adults who were older experienced fewer barriers relating to capabilities or opportunities, as did men, whilst being of white ethnicity was associated with fewer barriers across all three domains. Adults who were more socially engaged or who had poorer physical health experienced fewer barriers relating to motivations. Geographical area of dwelling was not related to any barriers. CONCLUSIONS: This study has shown for the first time where the barriers leading to differential patterns of arts engagement lie. The findings could inform future behaviour change interventions designed to encourage arts engagement amongst individuals who are least likely to engage.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the United Kingdom, arts participation declines noticeably beginning around age 65, with the steepest declines for individuals over 85.
“In the United Kingdom (UK) studies have shown noticeable declines in arts participation beginning around age 65 [14], with the steepest declines for individuals over 85 [14, 15].”
From Difference in predictors and barriers to arts and cultural engagement with age in the United States: A cross-sectional analysis using the Health and Retirement Study (2021) · cites this paper as [15]
The Introduction reports that arts participation is lower among older adults, especially those over 85. It does not identify age 65 as the point when participation begins to decline or establish the steepness of that decline. The Discussion also notes that this paper's own analysis found fewer barriers with increasing age, while leaving barriers in older age specifically unresolved. (LLM, conf=0.87)
Experimental — accuracy not yet measuredSimilar general population findings have identified these socioeconomic differences.
“Similar general population findings have also identified these socioeconomic differences [15]”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Michie, S., van Stralen, M. M., & West, R. (2011) · Implementation Science · doi:10.1186/1748-5908-6-42 · Cited by 13,697 · see citing works
Clement, S., Schauman, O., Graham, T., Maggioni, F., Evans-Lacko, S., Bezborodovs, N., Morgan, C., Rüsch, N., Brown, J. S. L., & Thornicroft, G. (2015) · Psychological Medicine · doi:10.1017/s0033291714000129 · Cited by 3,152 · see citing works
Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies.
Sowislo, J. F., & Orth, U. (2013) · Psychological Bulletin · doi:10.1037/a0028931 · Cited by 2,123 · see citing works
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015) · Health Psychology Review · doi:10.1080/17437199.2014.941722 · Cited by 1,411 · see citing works
Flagged first, then by citations
Research works printed but not linked: 24
- [1]Fancourt D, Finn S. WHO Health Evidence Synthesis Report- Cultural Contexts of Health: The role of the arts in improving health and well-being in the WHO European Region. 2019. 32091683
- [2]Mak H-W, Coulter D, Fancourt D. Patterns of social inequality in arts and cultural participation: findings from a nationally-representative sample of adults living in the UK. under review. PMC7613128 35874800
- [3]Arts Council England. Equality and diversity within the arts and cultural sector in England: Evidence and literature review. Manchester; 2013.
- [4]Grisolía JM, Willis K, Wymer C, Law A. Social engagement and regional theatre: patterns of theatre attendance. Cult Trends. 2010; 19: 225– 244.
- [5]Renton A, Phillips G, Daykin N, Yu G, Taylor K, Petticrew M. Think of your art-eries: Arts participation, behavioural cardiovascular risk factors and mental well-being in deprived communities in London. Public Health. 2012; 126: S57– S64. 10.1016/j.puhe.2012.05.025 22766259 PMC3449238 · DOI
- [6]Cuypers K, Krokstad S, Holmen TL, Skjei Knudtsen M, Bygren LO, Holmen J. Patterns of receptive and creative cultural activities and their association with perceived health, anxiety, depression and satisfaction with life among adults: the HUNT study, Norway. J Epidemiol Community Health. 2012; 66: 698– 703. 10.1136/jech.2010.113571 21609946 · DOI
- [9]Moor I, Spallek J, Richter M. Explaining socioeconomic inequalities in self-rated health: a systematic review of the relative contribution of material, psychosocial and behavioural factors. J Epidemiol Community Health. 2017; 71: 565– 575. 10.1136/jech-2016-207589 27682963 · DOI
- [10]Robinson OJ, Vytal K, Cornwell BR, Grillon C. The impact of anxiety upon cognition: perspectives from human threat of shock studies. Front Hum Neurosci. 2013; 7 10.3389/fnhum.2013.00203 23730279 PMC3656338 · DOI · Paper page
- [13]Whitehead L. The Measurement of Fatigue in Chronic Illness: A Systematic Review of Unidimensional and Multidimensional Fatigue Measures. J Pain Symptom Manage. 2009; 37: 107– 128. 10.1016/j.jpainsymman.2007.08.019 19111779 · DOI
- [14]Alden LE, Taylor CT, Mellings TM, Laposa JM. Social anxiety and the interpretation of positive social events. J Anxiety Disord. 2008; 22: 577– 590. 10.1016/j.janxdis.2007.05.007 17587542 · DOI · Paper page
- [16]Lazzaro E, Frateschi C. Couples’ arts participation: assessing individual and joint time use. J Cult Econ. 2017; 41: 47– 69. 10.1007/s10824-015-9264-3 · DOI
- [17]Anderson CA, Arnoult LH. Attributional Style and Everyday Problems in Living: Depression, Loneliness, and Shyness. Soc Cogn. 1985; 3: 16– 35. 10.1521/soco.1985.3.1.16 · DOI
- [18]Newall NE, Chipperfield JG, Clifton RA, Perry RP, Swift AU, Ruthig JC. Causal beliefs, social participation, and loneliness among older adults: A longitudinal study. J Soc Pers Relatsh. 2009; 26: 273– 290. 10.1177/0265407509106718 · DOI
- [19]Davies CR, Rosenberg M, Knuiman M, Ferguson R, Pikora T, Slatter N. Defining arts engagement for population-based health research: Art forms, activities and level of engagement. Arts Health. 2012; 4: 203– 216. 10.1080/17533015.2012.656201 · DOI
- [21]Reicher SD, Haslam SA, Spears R, Reynolds KJ. A social mind: The context of John Turner’s work and its influence. Eur Rev Soc Psychol. 2012; 23: 344– 385. 10.1080/10463283.2012.745672 · DOI
- [22]Dissanayake E. Homo Aestheticus: Where Art Comes From and Why. University of Washington Press; 2001.
- [24]Radloff LS. The CES-D Scale: A Self-Report Depression Scale for Research in the General Population. Appl Psychol Meas. 1977; 1: 385– 401. 10.1177/014662167700100306 · DOI · Paper page
- [25]Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166: 1092– 1097. 10.1001/archinte.166.10.1092 16717171 · DOI · Paper page
- [26]Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A Short Scale for Measuring Loneliness in Large Surveys. Res Aging. 2004; 26: 655– 672. 10.1177/0164027504268574 18504506 PMC2394670 · DOI · Paper page
- [27]Pearl J. Causality, models, reasoning and inference Cambridge: Cambridge University Press; 2000.
- [28]Vandenberg RJ. Introduction: statistical and methodological myths and urban legends: where, pray tell, did they get this idea? Sage Publications Sage CA: Thousand Oaks, CA; 2006.
- [31]Fancourt D, Ali H. Differential use of emotion regulation strategies when engaging in artistic creative activities amongst those with and without depression. Sci Rep. 2019. PMC6616366 31289298
- [33]Hall E. Making and gifting belonging: creative arts and people with learning disabilities. Environ Plan A. 2013; 45: 244– 262.
- [34]Bourdieu P. The forms of capital In: Richardson J, editor. Handbook of Theory and Research for the Sociology of Education. CT: Greenwood: Westport,; 1986 pp. 241– 258. 10.1002/9780470755679.ch15 · DOI
Cited by
Sorted by citations
Fluharty, M., Paul, E., Bone, J., Bu, F., Sonke, J., & Fancourt, D. (2021) · PLOS ONE · doi:10.1371/journal.pone.0261532 · Cited by 28 · see citing works
Self-citation
- Authors
- Fancourt, D., & Mak, H. W.
- Affiliations
- University College London (GB)
- Corresponding author
- Fancourt, Daisy
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2020-03-25
- Volume
- 15
- Issue
- 3
- Pages
- e0230487
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC7094843
- OpenAlex
- W3014062223
- Cited by
- 34
- References
- 4
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 7 · 2019: 1
- FWCI
- 29.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- UK Research and Innovation (ES/S002588/1)
- Leverhulme Trust (PLP-2018-007)
- Wellcome Trust (205407/Z/16/Z)
- Arts and Humanities Research Council (AH/P005888/1)
- Topics
- Social Sciences › Arts and Humanities › Conservation › Art Therapy and Mental Health
- Social Sciences › Cultural Studies › Arts, Culture, and Music Studies
- Social Sciences › Psychology › Social Psychology › Recreation, Leisure, Wilderness Management
- Keywords
- arts participation, barriers to participation, social participation (health and rehabilitation), mental health, physical health, socioeconomic status, loneliness, living alone, ethnicity, gender differences, age differences, social engagement, performing arts, visual arts, health disparities
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Art, Female, Humans, Male, Mental Health, Middle Aged, Models, Psychological, Motivation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review