Muscle mass

Background : Volleyball is known as sport that requires high physical fitness, including muscle power, agility and reaction; hence, body composition and anthropometric features play important roles in this field. The purpose of this study was to investigate the relationship between anthropometric and body composition indices with lower limb explosive power in female volleyball players. Material and method : This correlational study was conducted in which 16 semi-professional female volleyball players with an average age of 20.4 ± 1.34 years and BMI of 22.09 ± 3.42 kg/m2 voluntarily participated. All volleyball players had a history of participation in the Tehran province volleyball league. First, data were collected and recorded by demographic questionnaire. Then, the body composition (fat percentage, muscle mass, visceral fat) was measured and recorded in the 3-hours fasting condition by body analysis device (OMRUN Bf511). Finally, Sargent Vertical Jump Test was used to evaluate explosive power of the lower limb muscles. Results :  Pearson correlation coefficient was used at the significant level p Conclusion: The results of this study show that resistance training along with volleyball specific power training can increase the muscle mass as well as it is at the same time.

Background and Pupose: Hypertension and poor sleep quality can increase the risk of cardiovascular diseases, diabetes, stroke, etc. Therefore, the purpose of this study was to investigate the relationship between body compositions with hypertension and sleep quality in male students living in Allameh Tabataba'i University dormitory. Material and Method: The present study was descriptive-correlational. The statistical population consisted of 170 male dormitory students of Allameh Tabataba'i University who were randomly selected. First, body composition indices and blood pressure of subjects were measured and recorded. Then, the Pittsburgh Questionnaire were completed by students (PSQI) to assess their sleep quality. Data were analyzed using SPSS 21 software at a significant level (P

Background : Volleyball is known as sport that requires high physical fitness, including muscle power, agility and reaction; hence, body composition and anthropometric features play important roles in this field. The purpose of this study was to investigate the relationship between anthropometric and body composition indices with lower limb explosive power in female volleyball players. Material and method : This correlational study was conducted in which 16 semi-professional female volleyball players with an average age of 20.4 ± 1.34 years and BMI of 22.09 ± 3.42 kg/m2 voluntarily participated. All volleyball players had a history of participation in the Tehran province volleyball league. First, data were collected and recorded by demographic questionnaire. Then, the body composition (fat percentage, muscle mass, visceral fat) was measured and recorded in the 3-hours fasting condition by body analysis device (OMRUN Bf511). Finally, Sargent Vertical Jump Test was used to evaluate explosive power of the lower limb muscles. Results :  Pearson correlation coefficient was used at the significant level p Conclusion: The results of this study show that resistance training along with volleyball specific power training can increase the muscle mass as well as it is at the same time.

Background and Pupose: Hypertension and poor sleep quality can increase the risk of cardiovascular diseases, diabetes, stroke, etc. Therefore, the purpose of this study was to investigate the relationship between body compositions with hypertension and sleep quality in male students living in Allameh Tabataba'i University dormitory. Material and Method: The present study was descriptive-correlational. The statistical population consisted of 170 male dormitory students of Allameh Tabataba'i University who were randomly selected. First, body composition indices and blood pressure of subjects were measured and recorded. Then, the Pittsburgh Questionnaire were completed by students (PSQI) to assess their sleep quality. Data were analyzed using SPSS 21 software at a significant level (P