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Western Kentucky University

Medicine and Health Sciences

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2024

Mentally tough

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Full-Text Articles in Education

Enhancing Mental Toughness In Dancers: An Intervention Study With Longitudinal Analysis And Clustering Approaches, Zoe Beck, Logan Lefke, Grant Morgan, Andreas Stamatis Feb 2024

Enhancing Mental Toughness In Dancers: An Intervention Study With Longitudinal Analysis And Clustering Approaches, Zoe Beck, Logan Lefke, Grant Morgan, Andreas Stamatis

International Journal of Exercise Science: Conference Proceedings

Mental toughness (MT), a psychological construct, is pivotal in achieving peak athletic performance. The literature on MT, predominantly observational in nature, remains notably limited within the realm of dance. PURPOSE: To understand the impact of an MT intervention on dancers by examining score changes over time and identifying distinct response patterns through clustering. METHODS: Female athletes (N = 39; Mage = 19.86, SD = 1.21) participated in a structured intervention designed to enhance MT, with scores collected before the intervention, after, and at a 6-week follow-up. MT scores were collected using the Mental Toughness Index …


Machine Learning Analysis Of Chronotype And Mental Toughness In Predicting Sleepiness Among Collegiate Dancers: Preliminary Findings, Alyssa Hudson, Andreas Stamatis Feb 2024

Machine Learning Analysis Of Chronotype And Mental Toughness In Predicting Sleepiness Among Collegiate Dancers: Preliminary Findings, Alyssa Hudson, Andreas Stamatis

International Journal of Exercise Science: Conference Proceedings

Understanding the interplay between chronotype (a trait-like characteristic denoting an individual's inherent preference for sleep and activity periods), mental toughness (MT; a state-like construct that equips individuals with the skills to endure adversity while pursuing goals), and sleepiness (a fluctuating state of propensity towards dozing off) is critical in domains where optimal performance is crucial, such as in athletics. The utilization of machine learning (ML) techniques to explore the impact of MT and chronotype on sleepiness categorization is notably scarce in collegiate dancing; thus, this approach could provide novel insights into managing dancers’ health and performance. PURPOSE: To evaluate …