Ayuda
Ir al contenido

Dialnet


Resumen de Optimal Emotional Profiles for Peak Performance in Strength and Conditioning

Jonathan Cooper, Matt Johnson, Jon N. Radcliffe, James P. Fisher

  • This study investigated athletes' performance-related emotions and emotional profiles for optimal performance in strength and conditioning (S&C). It is suggested that the identification and control of emotions associated with successful and unsuccessful performances 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 +/- 4.0 years) completed IZOF-based emotion profiling, in which subjects were asked to recall their perceived best and worst S&C session, outlining emotions and intensity within 4 global emotional categories. 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 intensity 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 strategies should be informed and developed in collaboration with sport psychologists, with the aim of achieving an optimal emotional profile.


Fundación Dialnet

Dialnet Plus

  • Más información sobre Dialnet Plus