POMS and eye movement: Two indicators for performance in athletics

Abstract

BackgroundRegularly and scientifically participating in athletics is beneficial for physical and mental health. Mood or emotions are important component of psychology and a major indicator of physical and mental health. Positive and negative mood or emotions can have a strong impact on physical responsiveness. The aim of the present study was to explore whether mood or emotional state influence performance in athletics. MethodsMood, analyzed by Profile of Mood States, and emotional state, reflected by eye movement (looking at times and length), were used to predict track or field performance in training and competition. Results1. The profile of track training (except 3rd week) resembled an iceberg profile (highest vigor scores) and the profile on the 3rd week resembled a “melting” iceberg profile, in which positive mood (vigor and self-esteem) was decreased and negative mood, particularly depression and anger, was significantly increased. The profile of field training almost overlapped, with the exception of depression decreasing markedly on the 3rd and 4th weeks. 2. Positive mood overpowered negative mood, particularly following a track competition; positive emotions exceed negative emotions following track and field competition. 3. The results of the regression analysis showed that an improvement in track performance was negatively correlated with a rise in total mood disturbance (TMD), and field performances were positively correlated with positivity of emotion, as tested by eye movement. 4. Good performance in track events appeared to be associated with decreased vigor and increased fatigue during 3rd and 4th track training; decreased depression and fatigue, and increased vigor as well as low observe length of watching negative emotional pictures (NEPs) before track competition. A good performance in field events appeared to be associated with anger decrease and confusion increase, increased fixation counts of watching positive emotional pictures (PEPs), and decreased fixation and observe counts of watching NEPs before field competition. ConclusionsThe present study proved that different indicators appeared to measure different sport performances: More indicators of Profile of Mood States inclined to predict track performance, while more eye movement indicators could predict field performance. Mixed methods could provide a better understanding of performance than a single approach alone. These findings provided theoretical support and supplementary data for practical applications in the design of comprehensive training programs.