Background: The purpose of this study was to survey simple and multiple correlations between emotional intelligence and general health in personnel of physical education offices.Material/Methods: The descriptive survey research was adopted for the study. A total of 134 employees completed Schutte and Goldberg and Hiler questionnaires. The emotional intelligence questionnaire includes three subscales: Emotional Appraisal, Emotional Regulation and Utilization of Emotion. The general health questionnaire includes physical complaints, anxiety, social performance disorders and depression. Data was analyzed through Pearson correlation, Stepwise regression, One Way Analysis of Variance and the independent t-test (p ≤ 0/05).Results: The results showed that there were significant negative correlations between emotional intelligence and general health, physical complaints and anxiety among the subjects. However, there was no significant correlation between emotional intelligence and depression and performance disorders. Moreover, the finding shows that utilization of emotional anticipation and general health is significant.Conclusions: It seems that people with higher emotional intelligence have higher general health, too. Thus, based on the findings, it was recommended general health be improved via improving emotional intelligence.
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The purpose of this research was to identify the relationship between jump test results and acceleration phase of sprint performance in national and regional 100m sprinters. Fifteen male (age 21.89 ± 3.26 years; body height 1.72.66 ± 3.20 m; body mass 61.35 ± 11.40 kg; 100 m personal best: 11.67 + 0.46 s {11.00 - 12.19}) track sprinters at a national and regional competitive level performed 10 m sprints from a block start. Anthropometric dimensions, along with squat jump (SJ), countermovement jump (CMJ), continuous straight legged jump (SLJ), single leg hop for distance, and single leg triple hop for distance measures of power were also tested. Pearson correlation analysis revealed the single leg hop for distance with front and back leg (respectively, r = -0.74 and r = -0.76; p = 0.021 and p = 0.017), and the single leg triple hop for distance with front and/or back leg (respectively, r = -0.84 and r = -0.89; p = 0.004 and p = 0.001), generated capabilities to be strongly related to sprint performance. Further linear regression analysis predicted an increase in the single leg hop for distance with front and back leg of 10 cm, to both resulted in a decrease of 0.07 s in 10 m sprint performance. Further, an increase in the single leg triple hop for distance with front and/or back leg of 10 cm was predicted to result in a 0.08 s reduction in 10 m sprint time. The results of this study seem to suggest that the ability to gain more distance with the single leg hop and the single leg triple hop for distance to be good indicators for predicting sprint performance over 10 m from a block start.
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