ArticleJournal of youth and adolescence2024
Do Patterns of Adolescent Participation in Arts, Culture and Entertainment Activities Predict Later Wellbeing? A Latent Class Analysis.
Article in Journal of youth and adolescence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Behavioral Phenotyping of Arts Engagement Using 20 Years of the American Time Use Survey.Annals of the New York Academy of Sciences · 2026Article
- Beyond the more-is-better assumption: latent profiles of visual arts engagement, emotion regulation, and mental health among Chinese non-art-major university students.Frontiers in psychology · 2026Article
- Differential pathways from arts and creative activities to student learning and wellbeing: the roles of belonging, self-efficacy, and self-regulation.Frontiers in psychology · 2026Article
- Latent classes of adolescent health behaviour, social covariates and mental wellbeing: a longitudinal birth cohort study.BMC public health · 2024Article
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4 authors.
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Abstract
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.
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