Prevalence of Mental Health Problems and their Potential Association with Sleep Disturbance, Coping Skills and Social Support in Professional Ballet Dancers

<b>Introduction:</b> While several studies have analyzed the characteristics and burden of injuries and physical complaints in (pre-)professional dancers, mental health problems, other than eating disorders, have rarely been studied in professional ballet dancers. The aims were to (a) investigate the prevalence of self-reported mental health problems, and (b) analyze their potential associations with sleep disturbance, coping skills and social support in professional ballet dancers. <b>Methods:</b> During a pre-season health screening, professional ballet dancers of three companies were asked to answer questions on personal characteristics, current need and attempt to lose weight, chronic/recurrent mental health problems, and need of support from a psychotherapist as well as established questionnaires on depression (PHQ-9), generalized anxiety (GAD-7), eating disorders (EDE-QS), sleep disturbance (ASSQ), athletic coping skills (ACSI-28) and perceived social support (F-SozU-K6). <b>Results:</b> All 96 dancers (average age 27.3 years, 51.0% male) who participated in the screening answered the questionnaire. In the PHQ-9, 19 (19.8%) dancers reported mild, and 4 (4.2%) moderate to severe symptoms. In the GAD-7, 19 (19.8%) dancers reported mild, 11 (11.5%) moderate and three (3.1%) severe symptoms. Ten (10.4%) dancers were screened positive for an eating disorder in the EDE-QS. Almost two thirds of the dancers reported sleep problems of mild (n = 39; 40.6%), moderate (n = 19; 19.8%) or severe extent (n = 3; 3.1%) in the ASSQ. One in five dancers (n = 19; 19.8%) wanted or needed support from a psychotherapist at the time of the screening. The mean score of ASSQ correlated significantly with PHQ-9 (<i>r</i> = .34; <i>P</i> = .001) and GAD-7 (<i>r</i> = .27; <i>P</i> = .008). Correlations of mental health problems with athletic coping skills and social support were generally low. <b>Conclusion:</b> The prevalence of mental health problems, especially anxiety and eating disorders, was high in professional ballet dancers. Routine screening of mental health and sleep problems as well as interventions to improve mental health and sleep quality are strongly recommended. <b>Level of Evidence:</b> 2b cross-sectional study.

Authors

Institutions

Publication Details

Journal
Journal of Dance Medicine & Science
Published
2024-09-14
DOI
https://doi.org/10.1177/1089313x241277930
Citations
4
Primary Topic
Diversity and Impact of Dance
Type
article
Field-Weighted Citation Impact
2.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of Mental Health Problems and their Potential Association with Sleep Disturbance, Coping Skills and Social Support in Professional Ballet Dancers

Anja Hauschild, Astrid Junge
4 citations
Journal of Dance Medicine & Science
Diversity and Impact of Dance
2.03
article

Prevalence of Mental Health Problems and their Potential Association with Sleep Disturbance, Coping Skills and Social Support in Professional Ballet Dancers

Anja Hauschild, Astrid Junge
article en
4 citations

Abstract

<b>Introduction:</b> While several studies have analyzed the characteristics and burden of injuries and physical complaints in (pre-)professional dancers, mental health problems, other than eating disorders, have rarely been studied in professional ballet dancers. The aims were to (a) investigate the prevalence of self-reported mental health problems, and (b) analyze their potential associations with sleep disturbance, coping skills and social support in professional ballet dancers. <b>Methods:</b> During a pre-season health screening, professional ballet dancers of three companies were asked to answer questions on personal characteristics, current need and attempt to lose weight, chronic/recurrent mental health problems, and need of support from a psychotherapist as well as established questionnaires on depression (PHQ-9), generalized anxiety (GAD-7), eating disorders (EDE-QS), sleep disturbance (ASSQ), athletic coping skills (ACSI-28) and perceived social support (F-SozU-K6). <b>Results:</b> All 96 dancers (average age 27.3 years, 51.0% male) who participated in the screening answered the questionnaire. In the PHQ-9, 19 (19.8%) dancers reported mild, and 4 (4.2%) moderate to severe symptoms. In the GAD-7, 19 (19.8%) dancers reported mild, 11 (11.5%) moderate and three (3.1%) severe symptoms. Ten (10.4%) dancers were screened positive for an eating disorder in the EDE-QS. Almost two thirds of the dancers reported sleep problems of mild (n = 39; 40.6%), moderate (n = 19; 19.8%) or severe extent (n = 3; 3.1%) in the ASSQ. One in five dancers (n = 19; 19.8%) wanted or needed support from a psychotherapist at the time of the screening. The mean score of ASSQ correlated significantly with PHQ-9 (<i>r</i> = .34; <i>P</i> = .001) and GAD-7 (<i>r</i> = .27; <i>P</i> = .008). Correlations of mental health problems with athletic coping skills and social support were generally low. <b>Conclusion:</b> The prevalence of mental health problems, especially anxiety and eating disorders, was high in professional ballet dancers. Routine screening of mental health and sleep problems as well as interventions to improve mental health and sleep quality are strongly recommended. <b>Level of Evidence:</b> 2b cross-sectional study.

Journal of Dance Medicine & ScienceVol. 29(2)
MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE), BG Klinikum Hamburg (DE)
Openalex Percentile: Top 13%
Diversity and Impact of Dance
2.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.