Reducing Effect of Feeding Powdered Scallop Shell on the Body Fat Mass of Rats

2006 ◽  
Vol 70 (1) ◽  
pp. 86-92 ◽  
Author(s):  
Yun Chun LIU ◽  
Yasushi HASEGAWA
2013 ◽  
Vol 7 ◽  
pp. e93
Author(s):  
Julie A. Pasco ◽  
Haslinda Gould ◽  
Kara L. Holloway ◽  
Amelia G. Dobbins ◽  
Mark A. Kotowicz ◽  
...  

AGE ◽  
2015 ◽  
Vol 37 (5) ◽  
Author(s):  
Rogério Antonio Laurato Sertié ◽  
Rennan de Oliveira Caminhotto ◽  
Sandra Andreotti ◽  
Amanda Baron Campaña ◽  
André Ricardo Gomes de Proença ◽  
...  

1999 ◽  
Vol 19 (4) ◽  
pp. 485-491 ◽  
Author(s):  
Peter Clausen ◽  
Palle Kjærulff Nielsen ◽  
Klaus Olgaard ◽  
Bo Feldt-Rasmussen

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Irene A. Garcia-Yu ◽  
Luis Garcia-Ortiz ◽  
Manuel A. Gomez-Marcos ◽  
Emiliano Rodriguez-Sanchez ◽  
Cristina Lugones-Sanchez ◽  
...  

Abstract During menopause, women undergo a series of physiological changes that include a redistribution of fat tissue. This study was designed to investigate the effect of adding 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women daily on body composition. We conducted a 6-month, two-arm randomised, controlled trial. Postmenopausal women (57·2 (sd 3·6) years, n 132) were recruited in primary care clinics. Participants in the control group (CG) did not receive any intervention. Those of the intervention group (IG) received 10 g daily of 99 % cocoa chocolate in addition to their habitual diet for 6 months. This quantity comprises 247 kJ (59 kcal) and 65·4 mg of polyphenols. The primary outcomes were the between-group differences in body composition variables, measured by impendancemetry at the end of the study. The main effect of the intervention showed a favourable reduction in the IG with respect to the CG in body fat mass (–0·63 kg (95 % CI –1·15, –0·11), P = 0·019; Cohen’s d = –0·450) and body fat percentage (–0·79 % (95 % CI –1·31, –0·26), P = 0·004; Cohen’s d = –0·539). A non-significant decrease was also observed in BMI (–0·20 kg/m2 (95 % CI –0·44, 0·03), P = 0·092; Cohen’s d = –0·345). Both the body fat mass and the body fat percentage showed a decrease in the IG for the three body segments analysed (trunk, arms and legs). Daily addition of 10 g of cocoa-rich chocolate to the habitual diet of postmenopausal women reduces their body fat mass and body fat percentage without modifying their weight.


1994 ◽  
Vol 77 (1) ◽  
pp. 23-29 ◽  
Author(s):  
J. K. Yeh ◽  
J. F. Aloia ◽  
M. Chen ◽  
S. Sprintz

The aim of this study was to compare the effects of growth hormone administration and treadmill exercise on bone mass, body fat mass, and fat-free mass. Forty female rats aged 14 mo were divided into control, ovine growth hormone administration (0.5 mg.kg-1.day-1; GH), treadmill exercise (17 m/min, 60 min/day; EX), and EX + GH groups. Noninvasive total body electrical conductivity and dual X-ray absorptiometry techniques were used to assess the body fat content, fat-free mass, and tibial and L4 vertebral bone mineral content of each experimental animal at weeks 0, 9, and 16. The age-related increase in body fat mass was suppressed in the GH group, and the fat-free mass and L4 bone mass were higher in the GH group than in the control group. Conversely, in the EX group there was no gain in body fat mass and no significant change in fat-free mass or vertebral bone mass. The tibial bone mass increased in both the GH and EX groups; however, the time response to the two interventions appeared to differ. In the EX + GH group there was no further enhancement of the anabolic effect on the tibial bone mass. The effect of growth hormone administration on body fat content and bone mass is distinct from that of treadmill exercise.


2000 ◽  
pp. 649-655 ◽  
Author(s):  
B Guerci ◽  
S Hadjadj ◽  
D Quilliot ◽  
O Ziegler ◽  
P Drouin

This study was done to elucidate the relationship between postprandial leptin and obesity, and the possible influence of the circadian rhythm on the dynamic leptin response to an oral fat load (OFLT). In experiment 1, we measured the leptin and insulin responses to an oral fat load in 16 non-diabetic obese subjects and in 16 healthy controls, matched for age and gender. In experiment 2, we measured the leptin and insulin responses to an OFLT according to the time of fat load ingestion: 0700 h (diurnal (D) test) or 2200 h (nocturnal (N) test) in nine normal-weight healthy males. Baseline leptin concentration was correlated with the body mass index, body fat mass and percentage of body fat mass in both experiments. The leptin concentrations were higher in women than in men (P<0.001). In experiment 1, the leptin concentrations were higher in obese subjects than in controls, but did not change over time in either group. The plasma insulin concentrations at baseline and during the postprandial state, as well as the area under the curve (AUC) of insulin, were higher in obese subjects than in controls (P<0.05-0. 0001). There was no correlation between postprandial insulin responses and postprandial leptin responses in either obese or control groups. In experiment 2, leptin (D vs N, 2.9+/-1.4 vs 2. 9+/-1.0 ng/ml) and insulin (D vs N, 41+/-18 vs 25+/-9 pmol/l) concentrations were similar at the beginning of the D and N tests after a 10 h fast. The leptin concentrations did not change after D or N tests and were not statistically different for D and N tests. Our results indicate that the leptin concentration in healthy controls and in obese patients is not acutely influenced by a high fat load.


2018 ◽  
Vol 71 (5-6) ◽  
pp. 157-161
Author(s):  
Aleksandra Rakovac ◽  
Lana Andric ◽  
Vedrana Karan ◽  
Maja Bogdan ◽  
Danijel Slavic ◽  
...  

Introduction. There is a great interest to identify factors that influence the value of maximum oxygen consumption. The goal of this research was to assess the body composition, pulmonary parameters, and maximum oxygen consumption in different types of sports and in non-athletes. Material and Methods. The research included 149 male participants: aerobic athletes (n = 55), anaerobic athletes (n = 53) and non-athletes (n = 41). The participants were tested at the Department of Physiology, Faculty of Medicine of the University of Novi Sad. Anthropometric parameters and body mass index were measured. Also, the body fat mass was determined by bioelectrical impedance. pulmonary parameters by spirometry and maximum oxygen consumption on a bicycle ergometer. Results. The body mass index values in non-athletes were the highest and significantly different compared to the aerobic athletes (p = 0.01). Also, non-athletes had significantly higher values of body fat mass compared to athletes (p < 0.001). The pulmonary parameters were not significantly different between the tested groups (p > 0.05). However. the values of maximum oxygen consumption were significantly different between all three tested groups (aerobic athletes 53.75 ? 7.82 ml/kg/min; anaerobic athletes 48.04 ? 6.79 ml/kg/min; non-athletes 41.95 ? 8.53 ml/kg/min) (p < 0.001). A low degree of correlation was found between maximum oxygen consumption and pulmonary parameters in the tested groups. Conclusion. Body composition has an impact on the pulmonary parameters. The values of maximum oxygen consumption depend on the type of sport and training. and the highest values are in aerobic sports. There is a low degree of correlation between maximum oxygen consumption and pulmonary parameters in the tested groups.


2021 ◽  
Vol 12 ◽  
Author(s):  
Grégory Lentin ◽  
Sean Cumming ◽  
Julien Piscione ◽  
Patrick Pezery ◽  
Moez Bouchouicha ◽  
...  

ObjectivesConcerns regarding marked differences in the weights and body composition of young rugby players competing within the same age groups have led to the suggestion of alternative models for grouping young players. The aims of this study were (1) to compare variance in the body size and body composition of schoolboy rugby players (9 to 14 years), across weight- and age-grading models, and (2) to identify morphotypes for the weight model using Hattori’s body composition chart.Materials and MethodsSkinfold thickness measurements were used to assess body fat mass (BF), fat-free mass (FFM), body fat mass index (BFMI), and fat-free mass index (FFMI). Standardized measure of height and weight were taken for all participants. Data were grouped according to the age categories of the French Rugby Federation (U11: Under 11 years, U13: Under 13 years, and U15: Under 15 years), and to the weight categories (W30–44.9; W45–59.9; and W60–79.9) carried out from 25th and 75th weight percentile in each age category. Body mass index status (NW normal-weight versus OW/OB overweight/obese) was considered. Extreme morphotypes are characterized from BFMI and FFMI in the weight-grading model on Hattori’s body composition chart.ResultsThe dispersion of anthropometric characteristics decreased significantly for the weight model, except for height in all groups and BFMI for U13. Among NW, 3, 1.8, and 0% upgraded; 18.2, 68.7, and 45.5% downgraded; among OW, 50, 21.5, and 12.5%; and among OB, 91.3, 83.3, and 74.6% upgraded, respectively, in U11, U13, U15. FFMI/BFMI were correlated in U11 (r = 0.80, p &lt; 0.001), U13 (r = 0.66, p &lt; 0.001), and U15 (r = 0.77, p &lt; 0.001). There was no significant correlation in W45–59.9 and low correlations in W30–44.9 (r = 0.25, p &lt; 0.001) and W60–79.9 (r = 0.29, p &lt; 0.001). Significant grading difference between the centroids (p &lt; 0.05) and the distribution deviates from centroids of BFMI and FFMI (p &lt; 0.0001) were noted between the two models. Thirteen players were located in adipo-slender, twenty-three in adipo-solid, twenty-two in lean-slender, and two located in the lean-solid morphotype in weight model.ConclusionA weight-grading model should be considered to limit mismatches in anthropometric variables. However, variations of body composition also persisted for this model. Hattori’s body composition chart allowed more detailed examination of morphological atypicalities among schoolboy rugby players.


2017 ◽  
Vol 10 (18) ◽  
pp. 21-27
Author(s):  
Hans-Eric Reitmayer

Abstract Volleyball has become a sport of the giants. Under these circumstances it is desirable that players of a very large stature also possess a corresponding vertical jump. The aim of the paper was to identify the values of some parameters that we considered crucial in limiting or maximizing the in-game performance of the athletes in the study. Our intention was to verify if the body composition indicators change significantly at different stages of a competition season and if the characteristics of the jump, crucial in performing the actions through which the points arescored, are relevant in determining the level of physical conditioning. Twelve players (n=12) were selected from the second league Romanian male volleyball team CSU UVT. The subjects were tested for body composition and their spike jump and counter movement jump was measured on three separate occasions, each corresponding to a different stage of training. Study results highlighted a significant increase of 1.15kg (p=0.028) in weight at the intermediate testing compared to the initial values. There were no differences in muscle mass between the initial and the intermediate testing (p=0.88). The results have shown a significant increase of the average skeletal muscle mass in the final test by 0.77 kg over the intermediate test (p=0.012) and 0.81kg over the initial test (p=0.039).We recorded a considerable increase of body fat mass between initial and intermediate testing (p=0.0073) and there was an average decrease of 1.76 kg (p=0.0285) of body fat mass between intermediate and final testing. We have seen a significant increase in the height of the spike jump at the final test compared to the intermediate testing (p<0.0001) respectively the initial testing (p<0.0001).The counter movement jump recorded a significant decrease in the intermediate test 37.58 cm, compared to the initial test 40.57 cm (p=0.014).. Final measurements of the counter movement jump height increase in relation to intermediate testing (p=0.037). Measurements also indicate a direct correlation between the height and power developed during the jump in all the three tests: initial (r=0.76), intermediate (r=0.68) and final (r=0.84).


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