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Introduction. Body composition, anthropometry and physical fitness are considered the most important indicators of health assessment, and are widely implemented in different sports. Aim of Study. The aim of this study was to examine relationships between body composition, anthropometry and physical fitness of female students of the Khorramshahr University of Marine Science and Technology in Iran. Material and Methods. The study sample comprised 156 randomly selected female university students attending a general physical education course at the Khorramshahr University of Marine Science and Technology in the years of 2015-2016. The AAHPERD test was used for physical fitness assessment. Data were analyzed using the SPSS software, descriptive statistical methods and Pearson’s correlation coefficient at the level of statistical significance of p ≤ 0.05. Results. The results showed a significant correlation between physical fitness, body composition and anthropometry in the female students (p > 0.05). The statistical analysis confirmed their mean physical fitness level of 16.85 ± 1.9. Conclusions. The results of the study revealed a statistically significant relationship between physical fitness, body composition and anthropometry in female students. Also, the study showed that regular exercise improved physical health. It is suggested that more attention should be paid to sport programs as well as to the development of university students’ physical fitness and general health. It is recommended that students should participate in health promoting activities. University authorities should be expected to provide their institutions with sport and welfare facilities.
Introduction. Happiness is an important factor in human life. Aim of Study. The aim of this research was to examine the relationship between happiness and different levels of physical activity of students of the Khorramshahr Marine Science and Technology University in Iran. Materials and Methods. The following tests were used in the statistical analysis: t-test, one-way ANOVA and Tukey’s range test. The study sample comprised 156 students (53 men, 103 women) selected by way of cluster sampling from the population of all 1,200 students of the Khorramshahr Marine Science and Technology University in the academic year of 2013-2014. The participants completed a demographic questionnaire, physical activity questionnaire, and Oxford Happiness Questionnaire (OHQ) during one session. Results. The t-test results revealed non-significant differences in the happiness levels between the male and female students (p < 0.05). The results of ANOVA and Tukey’s range test showed significant differences in happiness levels between physically active and semi-active students (p < 0.01), and between physically active and non-active students (p < 0.01). Conclusions. Physical activity is an effective determinant of the level of happiness.
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