Fellipe Pinheiro Savioli; Jan Willem Cerf Sprey; Paulo Afonso Mei; Nicole Nardy Paula Razuck; Gabriela Thabata Bruno Cilla; Tatiana Ciocler Trahtenberg; Guilherme de Vieira Giorelli; Pedro Baches Jorge
Abstract
Introduction: Sleep and exercise influence each other through complex interactions. Sleep disorders incidence in athletes are high among several sports. People who suffer from sleep disorders have impaired sports performance and difficulty gaining muscle mass. Hormone levels such as testosterone and ...
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Introduction: Sleep and exercise influence each other through complex interactions. Sleep disorders incidence in athletes are high among several sports. People who suffer from sleep disorders have impaired sports performance and difficulty gaining muscle mass. Hormone levels such as testosterone and cortisol may be altered as a cause or consequence. So, improving sleep quality and a careful assessment of other tests are key to improving performance in sport. Material and Methods: 24 CrossFit practitioners, of both genders, between the ages of 25 and 35, presenting difficulty in initiating sleep, with a total sleep time of less than 6 hours per night, were recruited into a double-blind, randomized, placebo-controlled trial that lasted 8 weeks. Participants received capsules containing 3 mg of melatonin + 1200 mg of GABA (gamma-Aminobutyric acid) or placebo at 10:00 pm daily. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), cortisol and testosterone levels were measured and total-body skeletal muscle mass (TBSMM) by Lee’s equation performed by two different examiners.Results: Group melatonin + GABA gained an average of 600g of TBSMM while the control group lost 200g (p = 0.295). Both groups improve PSQI score (p = 0.007). No difference was found in cortisol and testosterone level. Conclusion: Although there was a difference between groups about TBSMM, it wasn’t statistically significant. Further studies will be necessary to demonstrate evidence of increased TBSMM from better sleep quality, with a larger number of participants and a longer trial.
Mehdi Kushkestani; Mohsen Parvani; Shiva Ebrahimpour Nosrani; Seyed Yousef Bathaeezadeh
Abstract
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 ...
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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
Mehdi Kushkestani; Shiva Ebrahimpour Nosrani; Mohsen Parvani; Sohrab Rezaei; Negin Karimi Nazar
Abstract
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 ...
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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.
