Impact of Combination Interferon Therapy on the Body Weight, Body Fat and Lean Body Mass of Chronic HCV Infected Patients

2014 ◽  
Vol 06 (01) ◽  
Author(s):  
Ibrar Alam Ijaz Ali
1977 ◽  
Vol 43 (1) ◽  
pp. 126-132 ◽  
Author(s):  
J. E. Greenleaf ◽  
E. M. Bernauer ◽  
L. T. Juhos ◽  
H. L. Young ◽  
J. T. Morse ◽  
...  

To determine the cause of the body weight loss during bed rest (BR), fluid balance and anthropometric measurements were taken from seven men (19–21 yr) during three 2-wk BR periods which were separated by 3-wk ambulatory recovery periods. Caloric intake was 3,073 +/- 155 (SD) kcal/day. During two of the three BR periods they performed supine isotonic exercise at 68% of VO2max on the ergometer for 1 h/day; or supine isometric exercise at 21% of maximal leg extension force for 1 min followed by a 1-min rest for 1 h/day. No prescribed exercise was given during the other BR period. During BR, body weight decreased slightly with no exercise (-0.43 kg, NS), but decreased significantly (P less than 0.05) by -0.91 kg with isometric and by -1.77 kg with isotonic exercise. About one-third of the weight reduction with isotonic exercise was due to fat loss (-0.69 kg) and, the remainder, to loss of lean body mass (-0.98 kg). It is concluded that the reduction in body weight during bed rest has two major components: First, a loss of lean body mass caused by assumption of the horizontal body position that is independent of the metabolic rate. Second, a loss of body fat content that is proportional to the metabolic rate.


2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage


2020 ◽  
Vol 13 (4) ◽  
pp. 1-7
Author(s):  
Agata Mroczek ◽  
Magdalena Chawałek

Background: Physical activity is an excellent form of prevention of modern diseases. The most popular form of physical activity chosen by women is group fitness activities. Women are most likely to focus on exercises for the lower parts of the body (thighs, buttocks, abdomen). In recent years, dance classes (e.g. Zumba) or exercises on mini trampolines have become very popular. Regular fitness training contributes to positive changes in the proportions and body composition. Aim of the study: The aim of the study was to assess the proportions and body composition of a woman via a 3-month group fitness training program. Case report: The study involved a woman aged 26, participating in fitness classes three times a week for a period of three months. The woman participated in the following training cycle: twice a week (Monday and Wednesday) in the Jumping Frog interval training on a trampoline; twice a week (Monday and Friday) in ZUMBA® classes; and once a week (Wednesday) in ABT classes (abdomen, buttocks, thighs). Her height and weight, waist and hips circumference, and the thickness of three skinfolds (subscapular, triceps, abdominal) were measured. Body mass index (BMI) and waist to hip ratio (WHR) were calculated and body composition analysis (% of body fat, lean body mass) was performed. Two measurements were made: the first at the beginning of the training cycle, the second on completion. After three months of training, there were a decrease in body weight (2.2 kg), BMI (0.77 kg/m2), waist circumference (4 cm), hip circumference (2 cm), WHR (0.03), subscapular, abdominal and triceps skinfold (1 mm, 3 mm, 3 mm), body fat (2.6%) and perimeters, and an increase in lean body mass (1 kg). Conclusions: This study shows a positive effect of fitness training on body proportions and body composition.


2020 ◽  
Vol 5 (5) ◽  
pp. 313-318
Author(s):  
N. Vdovenko ◽  
◽  
E. Maydaniuk ◽  
M. Imas ◽  
S. Sharafytdinova ◽  
...  

The compositional content of the body of athletes is one of the factors that can affect the effectiveness of sports activity, being an important component of the training process of football players. In turn, the composition of the body depends on the orientation, intensity and volume of training loads. Physical activity and exercise are known to lead to a decrease in body fat and an increase in lean body mass. The purpose of the study was to determine the significance of body composition for functional readiness of football players. Material and methods. The research involved 81 football players (Ukrainian Premier League), aged 20-30 years. During the research, the following methods were used: chronometry, ergometry, spirometry, gas analysis, heart rate monitoring, anthropometry and impedance measurement, biochemical research methods, and mathematical statistics methods. Results and discussion. As a result of the study, we established the influence of the body composition, in particular the percentage of body fat, on the level of functional readiness of football players. The probable correlations between the values of the level of functional readiness and indicators of the composition of the body were revealed. We found probable correlation between lean body mass and absolute power (r = 0.90; p ≤ 0.05), lean mass and VO2max (r = 0.44; p ≤ 0.05). A probable correlation between the percentage of fat and specific power (r = - 0.45; p ≤ 0.05), the percentage of fat and speed (r = - 0.50; p ≤ .05) was also revealed. An increase in body fat mass can negatively affect the specific power, speed and aerobic capabilities of athletes; it manifests itself in a decrease in the VO2max, speed and power of football players with an increase in body weight due to the fat component. Conclusion. The highest values of maximum power and VO2max were achieved by football players with adipose tissue content in the range from 9.0 to 16.0%. An increase in the level of functional readiness of football players is possible by optimizing the compositional composition of the body of athletes, namely, the percentage of body fat


2014 ◽  
Vol 2 (11_suppl3) ◽  
pp. 2325967114S0015
Author(s):  
Esra Ateş Numanoğlu ◽  
Filiz Can ◽  
Zafer Erden

Objectives: Proprioceptive sense plays important role of the protective reflex response against the harmful forces on the joint takes part in protection against the injuries. The load on the musculoskeletal system increases with higher body weights and joints become prone to injuries due to this increased load. The goal of this study was to investigate the relationship between the proprioceptive sense of the knee joint, mostly affected by loading, and the body weight, body mass index, and body fat ratio. Methods: 25 healthy people aged between 21 and 36 years included in the study. Body weights, body mass indexes (BMI), and body fat ratios of the individuals were measured. Proprioceptive sense in the knee joint is evaluated through the active joint position sense (A-JPS) assessments. The A-JPS of 50 knees of 25 individuals are evaluated at supine and load bea squat with 30° and 90° of knee flexion. To measure A-JPS, targeted angle were shown using goniometer and digital photography has been taken. Then they return to the initial position and repeat the angle and the second image was captured. After three times repetitions, deviations from 30° and 90° were called mean angle errors. The angle error measurements were performed with specifically written programme MATLAB (Computer Aided Design software). Pearson and Spearman Correlation Analyses were used for statistics. Results: There was no correlation between the body weight and the proprioceptive error at supine and squat for 30° and 90° flexion angles (p>0.05). When the individuals has been grouped according to their BMI values thinnesses for (BMI = 15-20 kg/m²), normals for (BMI = 20-25 kg/m²), and overweights for (BMI = 25-30 kg/m²) and the correlation between the BMI and proprioceptive error has been evaluated, there was no correlation for thinnesses and normals, for overweights at 90° squat position a medium strength positive correlation is observed (r=0.644, p=0.01). For thinnesses and normals there is no correlation between the body fat ratio and the proprioceptive error. For the overweights for 30° and 90° flexions at squat there is medium strength, strong positive correlations (r1=0.540, p=0.04; r2=0.709, p=0.005). Conclusion: Consequently, especially for individuals with high BMI, at load bearing squat position for 90° flexion, the proprioceptive sense decreases. Increased body fat ratio negatively affects the proprioception at load bearing squat position for 30° and 90° flexion angles. According to these results being overweight can be considered as an disadvantage in terms of proprioceptive sense.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7175
Author(s):  
Guillermo Mendez-Rebolledo ◽  
Eduardo Guzman-Muñoz ◽  
Rodrigo Ramírez-Campillo ◽  
Pablo Valdés-Badilla ◽  
Carlos Cruz-Montecinos ◽  
...  

Background Several authors have indicated that excess body weight can modify the electromyographic (EMG) amplitude due to the accumulation of subcutaneous fat. This accumulation of adipose tissue around the muscle would affect the metabolic capacity during functional activities. On the other hand, some authors have not observed differences in the myoelectric manifestations of fatigue between normal weight and obese people. Furthermore, these manifestations have not been investigated regarding EMG onset latency, which indicates a pattern of muscle activation between different muscles. The objective of this study was to determine whether an increase in body weight, skinfolds, and muscle fatigue modify the trapezius and serratus anterior (SA) onset latencies and to determine the scapular muscle recruitment order in fatigue and excess body weight conditions. Methods This cross-sectional study was carried out in a university laboratory. The participants were randomly assigned to the no-fatigue group (17 participants) or the fatigue (17 participants) group. The body mass index, skinfold thickness (axillary, pectoral, and subscapular), and percentage of body fat were measured. In addition, the onset latency of the scapular muscles [lower trapezius (LT), middle trapezius (MT), upper trapezius (UT), and SA] was assessed by surface EMG during the performance of a voluntary arm raise task. A multiple linear regression model was adjusted and analyzed for the additive combination of the variables, percentage body fat, skinfold thickness, and fatigue. The differences in onset latency between the scapular muscles were analyzed using a three-way repeated measure analysis of variance. In all the tests, an alpha level <0.05 was considered statistically significant. Results For the MT, LT, and SA onset latencies, the body mass index was associated with a delayed onset latency when it was adjusted for the additive combination of percentage of body fat, skinfold thickness, and fatigue. Of these adjustment factors, the subscapular skinfold thickness (R2 = 0.51; β = 10.7; p = 0.001) and fatigue (R2 = 0.86; β = 95.4; p = 0.001) primarily contributed to the increase in SA onset latency. A significant muscle ×body mass index ×fatigue interaction (F = 4.182; p = 0.008) was observed. In the fatigue/excess body weight condition, the UT was activated significantly earlier than the other three scapular muscles (p < 0.001) and SA activation was significantly delayed compared to LT (p < 0.001). Discussion Excess body weight, adjusted for skinfold thickness (axillary and subscapular) and fatigue, increases the onset latency of the MT, LT, and SA muscles and modifies the recruitment order of scapular muscles. In fact, the scapular stabilizing muscles (MT, LT, and SA) increase their onset latency in comparison to the UT muscle. These results were not observed when excess body weight was considered as an individual variable or when adjusted by the percentage body fat.


Andrologia ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. e12660 ◽  
Author(s):  
M. Klaver ◽  
M. J. H. J. Dekker ◽  
R. de Mutsert ◽  
J. W. R. Twisk ◽  
M. den Heijer

2014 ◽  
Vol 5 (1) ◽  
pp. 26-34
Author(s):  
Saha Sukanta

Abstract The aim of this study was to identify the effect of somatotype and body composition variables on leg explosive power of college level men students. The sample consisted of 500 young college students, divided into two groups: athletes (N= 250) undergoing Bachelor of Physical Education course whose mean age 23.86 ± 0.36 years; and non-athletes (N= 250) college students who do not take part regular physical activities and mean age 22.16 ± 0.88 years. The somatotype was assessed using the Heath & Carter method. Assessing body composition of the subject various anthropometric measurements were taken. Sargent vertical jump test was used to measure leg explosive power. The measures were compared between the two groups using the Student t-test for independent samples. The two groups differed significantly (p≤0.01) in terms of body weight, % body fat, lean body mass, % skeletal muscle mass and somatotype. The findings of the present study showing that athlete have higher mean values in leg explosive power (p≤0.01) than non-athlete. The leg explosive power was positively significantly (p≤0.01) correlated with % skeletal muscle mass, lean body mass, mesomorphy and ectomorphy components of somatotype; on the other hand body weight, height, % body fat, body surface area and endomorphy component of somatotype significantly (p≤0.01) negatively correlated. In conclusion, somatotype and body composition variables are important factors in determining leg explosive power.


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