Optimal Emotional Profiles for Peak Performance in Strength and Conditioning

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    This study investigated athletes’ performance-related emotions and emo- tional profiles for optimal performance in strength and condition- ing (S&C). It is suggested that the identification and control of emotions associated with successful and unsuccessful perform- ances are essential for achieving peak psychological states and optimal performance in sports-related tasks. The individual zone of optimal functioning (IZOF) model outlines an idiographic and comprehensive conceptual framework of interrelated dimensions that describe the structure and dynamics of subjective emotional experiences and performance-related psychobiological states. With institutional ethics approval, 13 competitive elite athletes (male, n = 7; female, n = 6: mean age = 21.7 6 4.0 years) completed IZOF-based emotion profiling, in which participants were asked to recall their perceived best and worst S&C session, outlining emotions and intensity within 4 global emotional cate- gories. A significant difference was evidenced between best ever and worst ever performance within positive functional emotions (p , 0.001, d = 3.63) and negative dysfunctional emotions (p , 0.001, d = 4.92). Initial findings suggest that perceived peak performance states within S&C are associated with a high inten- sity of positive functional emotions (confident, motivated, and energetic) and a low intensity of negative dysfunctional emotions (worn out, sluggish, annoyed, and discouraged). Although future research is necessary to fully understand this area, the present data suggest that to assist athletes in achieving perceived peak performance states within S&C, psychological skills and strate- gies should be informed and developed in collaboration with sport psychologists, with the aim of achieving an optimal emo- tional profile.
    Original languageEnglish
    Pages (from-to)833-840
    Number of pages8
    JournalJournal of Strength and Conditioning Research
    Issue number3
    Early online date5 Oct 2018
    Publication statusPublished - Mar 2021


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