Psychosocial and Body Image Variations in Professional Dancers: A Prospective Longitudinal Observational Study

专业舞者心理社会因素和身体意象的差异:一项前瞻性纵向观察研究

阅读:1

Abstract

Introduction: Psychosocial functioning and body image are key dimensions of mental well-being and performance. Among professional dancers, competitive environments, aesthetic demands, and physical-emotional overload contribute to increased anxiety, stress, and mood disturbances, potentially impairing performance and heightening injury risk. Objective: To investigate longitudinal variations in psychosocial and emotional indicators among professional dancers throughout a season of rehearsals and performances. Methods: Thirteen dancers (9 women and 4 men) from a professional company were assessed across eight time points using the Brunel Mood Scale (BRUMS), State-Trait Anxiety Inventory (STAI-State), Recovery-Stress Questionnaire for Athletes (REST-Q 76 Sport), and Body Shape Questionnaire (BSQ). Data was analyzed using repeated-measures ANOVA with Bonferroni post hoc tests (p < 0.05). Results: Negative mood dimensions progressively increased (p < 0.01; η(2)p = 0.46, large), while vigor decreased (p = 0.03; η(2)p = 0.29, medium), indicating an inversion of the typical "iceberg" profile. Overall stress levels increased (p = 0.02; g = 0.53, power = 0.81) and perceived recovery declined (p = 0.04; g = 0.41, power = 0.78). State anxiety rose consistently (p < 0.01; η(2)p = 0.42), and body dissatisfaction, assessed via the BSQ, increased from "no concern" to "high concern" classifications (p = 0.03; g = 0.59, power = 0.84). Conclusions: Overall, the findings indicating a longitudinal pattern of increased psychometric strain indicators, inferred exclusively from psychometric trends, and conceptually consistent with a possible imbalance between perceived demands and perceived recovery, rather than reflecting objectively measured workload or recovery processes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。