A Comparative Study of Body Composition and Physical Activity Level among the Type of Duty in Korean Navy

Author(s):  
Bongju Sung ◽  
Youngjin Park ◽  
Sujeen Jung
Gerontology ◽  
2018 ◽  
Vol 65 (3) ◽  
pp. 229-239 ◽  
Author(s):  
Haritz Arrieta ◽  
Gotzone Hervás ◽  
Chloe Rezola-Pardo ◽  
Fátima Ruiz-Litago ◽  
Miren Iturburu ◽  
...  

Background: Myostatin has been proposed as a candidate biomarker for frailty and sarcopenia. However, the relationship of myostatin with these conditions remains inconclusive. Objective: To determine the association of serum myostatin concentration with body composition, physical fitness, physical activity level, and frailty in long-term nursing home residents. We also aimed to ascertain the effect of an exercise program on myostatin levels. Methods: We obtained study data on 112 participants from long-term nursing homes. Participants were randomly assigned to a control or an intervention group and performed a 6-month multicomponent exercise program. Serum myostatin levels were analyzed by ELISA. Assessments also included body composition (anthropometry and bioelectrical impedance), physical fitness (Senior Fitness Test), physical activity level (accelerometry), and frailty (Fried frailty criteria, Clinical Frailty Scale, and Tilburg frailty indicator). Results: The concentration of myostatin at baseline was positively correlated with: a leaner body composition (p < 0.05), and a higher number of steps per day and light and moderate-vigorous physical activity in women (p < 0.005); greater upper and lower limb strength, endurance, and poorer flexibility (p < 0.05) in men; and better performance (less time) in the 8-ft timed up-and-go test in both women (p < 0.01) and men (p < 0.005). We observed higher concentrations of serum myostatin in non-frail than in frail participants (p < 0.05). Additionally, we found that the implemented physical exercise intervention, which was effective to improve physical fitness, increased myostatin concentration in men (p < 0.05) but not in women. The improvements in physical condition were related with increases in serum myostatin only in men (p < 0.05–0.01). Conclusions: Higher serum levels of myostatin were found to be associated with better physical fitness. The improvements in physical fitness after the intervention were positively related to increases in myostatin concentrations in men. These results seem to rule out the idea that high serum myostatin levels are indicative of frailty in long-term nursing home residents. However, although the direction of association was opposite to that expected for the function of myostatin, the use of this protein as a biomarker for physical fitness, rather than frailty, merits further study.


2020 ◽  
Vol 52 (7S) ◽  
pp. 573-573
Author(s):  
Anderson Bastos Lopes ◽  
Luis Carlos de Oliveira ◽  
João Pedro da Siva Junior ◽  
Maurício dos Santos ◽  
Diana Carolina Gonzalez Beltran ◽  
...  

2010 ◽  
Vol 42 ◽  
pp. 665-666
Author(s):  
Nicole M. Gero ◽  
Jodi N. Dowthwaite ◽  
Christopher Ursillo ◽  
Paula F. Rosenbaum ◽  
Tamara A. Scerpella

2012 ◽  
Vol 29 (11) ◽  
pp. e402-e408 ◽  
Author(s):  
A. S. Brazeau ◽  
C. Leroux ◽  
H. Mircescu ◽  
R. Rabasa-Lhoret

2020 ◽  
Vol 24 (5) ◽  
pp. 259-264
Author(s):  
Akan Bayrakdar ◽  
Yağmur Yıldız ◽  
Işık Bayraktar

Background and Study Aim. The aim of this study is to determine the effect of e-sports on physical activity level and body composition. Material and Methods.  The athletes who participated in the study were 19.92± 2.21 years of age, 1.73±0.04 m body height and 78.35±6.52 kg body weight. A total of 137 athletes participated in the study, including 27 from Turkey, 47 from South Korea and 63 from the United States (USA). The data was collected by e-mail from the sports clubs. The athletes who representing their country in international competitions involved in the study. The data obtained were evaluated in the SPSS program. Results.  According to the findings of the study, the body mass index (BMI) of e-sport athletes is 26.03±1.85, the number of physical activity steps is 6646±3400 and the daily e-sport hours are 9.34±1.12. The BMI was determined as USA 26.12, South Korea 26.02 and Turkey 25.84 respectively. The number of physical activity steps was identified as 5255 steps in the US, 7785 steps in South Korea and 7909 steps in Turkey. The daily e-sports hour is set at US 9.63 hours, Turkey 9.29 hours and South Korea 8.97 hours. In comparison of country-based athletes, there was a significant difference between physical activity level and daily e-sports hours at p<0.05. The value of BMI is not different. Although it is not statistically related to the physical activity level and BMI. There was no statistically significant relationship between daily e-sports hours and BMI and physical activity step counts. However, as the time of e-sports increases, BMI increases and the number of physical activity steps decreases. Conclusions.  As a result it is seen in the findings of the research that athletes dealing with e-sports are included in the fat group as a body composition and their daily physical activity steps are low. In addition, according to the results of the research, e-sports are thought to have negative effects on physical health. Thanks to the physical activity programs to be applied to these athletes, it is thought that their body composition and physical activity levels can be improved.


2015 ◽  
Vol 114 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Katy M. Horner ◽  
Nuala M. Byrne ◽  
Geoffrey J. Cleghorn ◽  
Neil A. King

Although a number of studies have examined the role of gastric emptying (GE) in obesity, the influences of habitual physical activity level, body composition and energy expenditure (EE) on GE have received very little consideration. In the present study, we compared GE in active and inactive males, and characterised relationships with body composition (fat mass and fat-free mass) and EE. A total of forty-four males (activen22, inactiven22; BMI 21–36 kg/m2; percentage of fat mass 9–42 %) were studied, with GE of a standardised (1676 kJ) pancake meal being assessed by the [13C]octanoic acid breath test, body composition by air displacement plethysmography, RMR by indirect calorimetry, and activity EE (AEE) by accelerometry. The results showed that GE was faster in active compared with inactive males (mean half-time (t1/2): active 157 (sd18) and inactive 179 (sd21) min,P< 0·001). When data from both groups were pooled, GEt1/2was associated with percentage of fat mass (r0·39,P< 0·01) and AEE (r− 0·46,P< 0·01). After controlling for habitual physical activity status, the association between AEE and GE remained, but not that for percentage of fat mass and GE. BMI and RMR were not associated with GE. In summary, faster GE is considered to be a marker of a habitually active lifestyle in males, and is associated with a higher AEE level and a lower percentage of fat mass. The possibility that GE contributes to a gross physiological regulation (or dysregulation) of food intake with physical activity level deserves further investigation.


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