Do Patterns of Adolescent Participation in Arts, Culture and Entertainment Activities Predict Later Wellbeing? A Latent Class Analysis.
Participation in arts, culture, and entertainment (PACE) activities may promote adolescent wellbeing. However, little is known about how such activities cluster together, and previous research has used small samples, cross-sectional designs, focused on single activities, and/or has not considered th...
| Publicado en: | Journal of Youth & Adolescence Vol. 53; no. 6; pp. 1396 - 1415 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Jun2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=176842902&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 176842902 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00472891 JYA jtl: Journal of Youth & Adolescence issn: 00472891 maglogo: N pubinfo: dt: Jun2024 vid: 53 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 176842902 10.1007/s10964-024-01950-7 ppf: 1396 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Do Patterns of Adolescent Participation in Arts, Culture and Entertainment Activities Predict Later Wellbeing? A Latent Class Analysis. aug: au: Thornton, Emma Petersen, Kimberly Marquez, Jose Humphrey, Neil affil: https://ror.org/027m9bs27 Manchester Institute of Education, University of Manchester, Manchester, UK https://ror.org/024mrxd33 School of Education, University of Leeds, Leeds, UK su: Art Culture Empirical research Leisure Sociodemographic factors Social participation Well-being Secondary analysis Structural equation modeling sug: subj: Art Culture Empirical research Leisure Sociodemographic factors Social participation Well-being Secondary analysis Structural equation modeling keyword: Adolescence Arts Entertainment Latent class analysis Wellbeing Adolescence Arts Entertainment Latent class analysis Wellbeing ab: Participation in arts, culture, and entertainment (PACE) activities may promote adolescent wellbeing. However, little is known about how such activities cluster together, and previous research has used small samples, cross-sectional designs, focused on single activities, and/or has not considered the influence of socio-demographic factors on participation. Using latent class analysis, the aims of this study were to establish: (i) classes of adolescent PACE activities; (ii) associations between socio-demographic characteristics and PACE classification; and, (iii) whether PACE classification predicts later wellbeing. Longitudinal data from the #BeeWell study (N = 18,224 adolescents; mean age at T1 = 12 years 7 months (±3.56 months); 50.54% female) were analyzed. Four latent classes were established: the 'Dynamic Doers' (high, wide-ranging participation; 11.87%); the 'Mind and Body Crew' (reading, arts, videogames, sports/exercise; 39.81%); the 'Game and Gain Squad' (videogames and sports/exercise; 29.05%); and the 'Activity Free Adolescents' (uniformly low participation; 19.27%). Associations between socio-demographic characteristics and PACE classification were observed (e.g., socio-economic disadvantage increased the likelihood of Activity Free Adolescents classification, compared to Game and Gain Squad classification). Finally, PACE classification predicted later wellbeing (e.g., Dynamic Doers reported significantly higher wellbeing than Activity Free Adolescents). These findings are discussed in relation to the need to improve accessibility and appeal of arts, culture, and entertainment provision for adolescents as a means to optimize their wellbeing. Pre-registration: The analysis plan for this study was pre-registered on the Open Science Framework and can be found here: https://osf.io/2jtpd pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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