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it is a general fact that there is a positive relationship between mood states and mental health, which in turn affect the physical state of an individual. The present study aims at comparing the mood state profile as overtraining predictors, in relations to gender and students from two class types: sport coaching versus non-sport coaching. The BRUMS questionnaire was administrated to 339 participants taken from sport science faculty consisting of 98 sport coaching class students and 241 non-sport coaching class students, then taking sex differentiation into consideration. The results indicated that the male respondents show no significant difference in both the positive mood and the negative mood scales between the sport coaching and the non-sport coaching groups. The positive mood of the non-sport coaching group is better than that of the sport coaching group by 3.99% while the scale of negative mood of sport coaching group is higher than that of the non-sport coaching group by 3.27%. The same trend was found in the female respondents as there is no significant difference in both the positive and negative mood scales between the sport coaching and non-sport coaching groups. The non-sport coaching group's positive mood was better than that of the sport coaching group by 4.89%. However, the non-sport coaching group's negative mood score was lower than the sport coaching group as much by 2.34%.It was concluded that, although there are different types of sport coaching class, the non-sport coaching class does not shows any significant difference in student mood state. More so, the positive mood level of men is better than that of women which means that, psychologically, the overtraining syndrome is more easily seen in women than men. Keywords—mood state, sport coaching students, overtraining syndrome.

proceedings of the 2nd yogyakarta international seminar on health, physical education, and sport science (yishpess 2018) and 1st conference on interdisciplinary approach in sports (cois 2018)

Mood State Profile as Overtraining Predictors: Considering Gender and Two Different Class Types