scholarly journals Prevalence of low fat-free mass index and high and very high body fat mass index following lung transplantation

2003 ◽  
Vol 40 (0) ◽  
pp. s258-s260 ◽  
Author(s):  
U. G. Kyle ◽  
L. Nicod ◽  
C. Raguso ◽  
D. Hans ◽  
C. Pichard
Nutrition ◽  
2004 ◽  
Vol 20 (3) ◽  
pp. 255-260 ◽  
Author(s):  
Ursula G Kyle ◽  
Alfredo Morabia ◽  
Yves Schutz ◽  
Claude Pichard

2008 ◽  
Vol 3 ◽  
pp. 20
Author(s):  
M.C.G. Barbosa-Silva ◽  
D.H. Silveira ◽  
M.F. Assunção ◽  
S.I. Paiva ◽  
L.R. Borges

2018 ◽  
Vol 50 (5S) ◽  
pp. 162
Author(s):  
Alexis A. Pihoker ◽  
Eric T. Trexler ◽  
Austin M. Peterjohn ◽  
Gregory L. Nuckols ◽  
Malia N.M. Blue ◽  
...  

1989 ◽  
Vol 256 (5) ◽  
pp. E573-E579 ◽  
Author(s):  
K. R. Segal ◽  
I. Lacayanga ◽  
A. Dunaif ◽  
B. Gutin ◽  
F. X. Pi-Sunyer

To clarify further the independent relationships of body composition parameters to energy expenditure, resting metabolic rate (RMR) and postprandial thermogenesis were studied in four groups who were matched for absolute fat mass (study 1) and relative fatness (study 2). In study 1, five lean [group A, 15.4 +/- 0.6% (+/- SE) body fat] and five obese men (group B, 25.0 +/- 0.9% fat) were matched on body fat mass (13.0 +/- 0.9 vs. 14.4 +/- 0.8 kg, respectively). Fat-free mass (FFM) and total weight were greater for group A than B. RMR was measured for 3 h in the fasted state and after a 720-kcal mixed meal. RMR was greater for group A than B (1.38 +/- 0.08 vs. 1.14 +/- 0.04 kcal/min, P less than 0.05). The thermic effect of food, calculated as 3 h postprandial minus fasting RMR, was greater for group A than B (65 +/- 6 vs. 23 +/- 9 kcal/3 h; P less than 0.05). In study 2, two groups (n = 6 men/group) were matched for percent body fat (33 +/- 1% fat for both) but differed in lean, fat, and total weights: 50.8 +/- 3.1 kg FFM for the lighter (group C) vs. 68.0 +/- 2.8 kg FFM for the heavier (group D) group, P less than 0.05. RMR was lower for group C than D (1.17 +/- 0.06 vs. 1.33 +/- 0.04 kcal/min, P less than 0.05), but the thermic effect of food was not significantly different (31 +/- 3 vs. 20 +/- 6 kcal/3 h).(ABSTRACT TRUNCATED AT 250 WORDS)


2014 ◽  
Vol 15 (S1) ◽  
Author(s):  
S Razeghi jahromi ◽  
M Abolhasani ◽  
A Meysamie ◽  
M Togha

2020 ◽  
Author(s):  
Su-Jin Jung ◽  
Woo-Lim Kim ◽  
Byung-Hyun Park ◽  
Seung-Ok Lee ◽  
Soowan Chae

Abstract Background: Detox diet are known as a popular dieting strategies that helps toxins elimination and weight manage but there is very little clinical evidence. The Wellnessup diet (WD) used in the present study designed as a healthy meals based on organic plant based diets including various vegetables, fruits, whole grains, nuts and phytonutrients. Methods: To evaluate the effects of 4 week intake of the WD on toxic trace element detoxification, body fat reduction, and safety parameters. Forty-five women with body mass index (BMI) of 23.5-30 kg/m2 were recruited. Thirty of them were assigned 1:1 to the test group (WD, 15 subjects) and control group 1 (calorie-restricted diet, CRD, 15 subjects) in a single blind and randomized, and the remaining 15 subjects were assigned to control group 2 (maintaining regular diet, MRD). The primary outcome were toxic trace element levels in hair (29 types of heavy metals), and the secondary outcomes were changes in anthropometric and urinary organic acids. Results: The levels of four toxic trace elements in hair decreased in the WD group after the diet compared to before the diet. Ni, Rh, Sn, and Ga were significantly lower in the WD group than in the CRD or MRD group (p<0.05). At the end of the trial, both WD and CRD groups had lower BMI, Waist Circumference(WC), Hip Circumference(HC) and WHR compared to the baseline values (p<0.05). Compared to the WD group, the CRD group had a greater mean change (p<0.05) from the baseline for weight loss (-3.22±0.48kg vs -1.88±0.95kg vs) and fat free mass (-2.08 kg vs -1.09 kg). The weight, BMI, body fat mass, fat free mass, WC, and HC of the CRD group were significantly decreased compared to the MRD (p<0.05). No significant changes in any safety parameter were observed. Conclusions: Use of WD might have several beneficial effects and safety such as body fat reduction and improving some the element detoxification through caloric restriction but did not reducing body fat mass more than calorie-restricted diet.


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.


Children ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. 192
Author(s):  
Teresa A. Marshall ◽  
Alexandra M. Curtis ◽  
Joseph E. Cavanaugh ◽  
John J. Warren ◽  
Steven M. Levy

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally (n = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings.


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