scholarly journals The Relationship between Initial Tacrolimus Metabolism Rate and Recipients Body Composition in Kidney Transplantation

2021 ◽  
Vol 10 (24) ◽  
pp. 5793
Author(s):  
Aureliusz Kolonko ◽  
Patrycja Pokora ◽  
Natalia Słabiak-Błaż ◽  
Beata Czerwieńska ◽  
Henryk Karkoszka ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Multivariate Regression Analysis ◽  
The Body ◽  
Tacrolimus Concentration ◽  
Kidney Transplant Recipients ◽  
Visceral Fat Area ◽  
Total Body Mass ◽  
Total Body ◽  
The Relationship

There are several premises that the body composition of kidney transplant recipients may play a role in tacrolimus metabolism early after transplantation. The present study aimed at analyzing the relationship between the body composition parameters assessed by bioimpedance analysis (BIA) and initial tacrolimus metabolism. Immediately prior to transplantation, BIA using InBody 770 device was performed in 122 subjects. Tacrolimus concentration-to-dose (C/D) ratio was calculated based on the first blood trough level measurement. There was no difference in phase angle, visceral fat area, lean body mass index (LBMI) and the proportion of lean mass as a percentage of total body mass between the subgroups of slow and fast metabolizers. However, subjects with LBMI ≥ median value of 18.7 kg/m2, despite similar initial tacrolimus dose per kg of body weight, were characterized by a significantly lower tacrolimus C/D ratio (median 1.39 vs. 1.67, respectively; p < 0.05) in comparison with the subgroup of lower LBMI. Multivariate regression analysis confirmed that age (rpartial = 0.322; p < 0.001) and LBMI (rpartial = −0.254; p < 0.01) independently influenced the tacrolimus C/D ratio. A LBMI assessed by BIA may influence the tacrolimus metabolism in the early post-transplant period and can be a useful in the optimization of initial tacrolimus dosing.

scholarly journals Melanocortin antagonism ameliorates muscle wasting and inflammation in chronic kidney disease

2012 ◽  
Vol 303 (9) ◽  
pp. F1315-F1324 ◽  
Author(s):  
Wai W. Cheung ◽  
Robert H. Mak
Keyword(s):  
Chronic Kidney Disease ◽  
Body Composition ◽  
Kidney Disease ◽  
Body Mass ◽  
Muscle Wasting ◽  
The Body ◽  
Central Administration ◽  
Total Body Mass ◽  
Body Composition Change ◽  
Total Body

Aberrant melanocortin signaling has been implicated in the pathogenesis of wasting in chronic kidney disease (CKD). Previously, we demonstrated that agouti-related peptide (AgRP), a melenocortin-4 receptor antagonist, reduced CKD-associated cachexia in CKD mice. Our previous studies with AgRP utilized dual energy X-ray (DXA) densitometry to assess the body composition in mice (Cheung W, Kuo HJ, Markison S, Chen C, Foster AC, Marks DL, Mak RH. J Am Soc Nephrol 18: 2517–2524, 2007; Cheung W, Yu PX, Little BM, Cone RD, Marks DL, Mak RH. J Clin Invest 115: 1659–1665, 2005). DXA is unable to differentiate water content in mice, and fluid retention in CKD may lead to an overestimate of lean mass. In this study, we employed quantitative magnetic resonance technique to evaluate body composition change following central administration of AgRP in a CKD mouse model. AgRP treatment improved energy expenditure, total body mass, fat mass, and lean body mass in CKD mouse. We also investigated the effect of CKD-associated cachexia on the signaling pathways leading to wasting in skeletal muscle, as well as whether these changes can be ameliorated by central administration of AgRP. AgRP treatment caused an overall decrease in proinflammatory cytokines, which may be one important mechanism of its effects. Muscle wasting in CKD may be due to the activation of proteolytic pathways as well as inhibition of myogenesis and muscle regeneration processes. Our results suggest that these aberrant pathological pathways leading to muscle wasting in CKD mice were ameliorated by central administration of AgRP.

One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women

2003 ◽  
Vol 94 (6) ◽  
pp. 2368-2374 ◽  
Author(s):  
Marjolein Visser ◽  
Marco Pahor ◽  
Frances Tylavsky ◽  
Stephen B. Kritchevsky ◽  
Jane A. Cauley ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Population Based ◽  
Fat Free Mass ◽  
Simultaneous Increase ◽  
Total Body Mass ◽  
Men And Women ◽  
Total Body

Changing body composition has been suggested as a pathway to explain age-related functional decline. No data are available on the expected changes in body composition as measured by dual-energy X-ray absorptiometry (DXA) in a population-based cohort of older persons. Body composition data at baseline, 1-yr follow-up, and 2-yr follow-up was measured by DXA in 2,040 well-functioning black and white men and women aged 70–79 yr, participants of the Health, Aging, and Body Composition Study. After 2 yr, a small decline in total body mass was observed (men: −0.3%, women: −0.4%). Among men, fat-free mass and appendicular lean soft tissue mass (ALST) decreased by −1.1 and −0.8%, respectively, which was masked by a simultaneous increase in total fat mass (+2.0%). Among women, a decline in fat-free mass was observed after 2 yr only (−0.6%) with no change in ALST and body fat mass. After 2 yr, the decline in ALST was greater in blacks than whites. Change in total body mass was associated with change in ALST ( r = +0.58 to +0.70; P < 0.0001). Among participants who lost total body mass, men lost relatively more ALST than women, and blacks lost relatively more ALST than whites. In conclusion, the mean change in body composition after a 1- to 2-yr follow-up was 1–2% with a high interindividual variability. Loss of ALST was greater in men compared with women, and greater in blacks compared with whites, suggesting that men and blacks may be more prone to muscle loss.

scholarly journals Internal Proportions of The Body Composition in Members of the Female National Tennis Team of Poland

2018 ◽  
Vol 2 (73) ◽  
Author(s):  
Marina Jagiello ◽  
Wladislaw Jagiello
Keyword(s):  
Body Composition ◽  
Body Size ◽  
Body Mass ◽  
Body Height ◽  
The Body ◽  
Control Group ◽  
Tennis Players ◽  
National Team ◽  
The Mean ◽  
Total Body

Contemporary anthropological research confirms the fact that body composition is one of the basic elements differentiating athletes from persons not practising sport. Among athletes representing various branches of sport there are also significant differences in their body composition. Internal proportions of the body composition of an athlete, or a selected group of athletes, is an especially important yet little researched issue of sports anthropology. This problem is still topical in sports games, especially in tennis. Therefore, the aim of the study was to determine internal proportions of the body composition of female tennis players from the Polish national team in comparison to persons who do not practice sport professionally. The study involved female athletes of the Polish national tennis team (n = 10). The study was carried out in a training camp from 28 September to 9 October 2002 in Zakopane — Centre of Sports Preparation. Athletes’ age was 16—20 (18.1 ± 1.4) years, and the training experience 8—12 years (10.5 ± 1.8). The mean body height for the group members was 171.9 ± 6.7 cm and the mean body mass 59.7 ± 6.3 kg. The results of research by Piechaczek et al. (1996) constituted the reference point for the results of measurements of Polish tennis representatives. The authors studied 153 female students of Warsaw Technical University aged 20.2 ± 1.09 years. They were randomly chosen students of the first and the second year of various departments at this university. The mean body height of the students was 166.2 ± 6.2 cm and the mean body mass 57.4 ± 7.72 kg. Anthropometric measurements were taken using standard instruments (Drozdowski, 1998). The analysis involved 11 somatic features which determined three so-called factors of body composition: length (m1), stoutness (m2) and obesity (m3). The assessment of proportions of the body composition was made by means of Perkal’s natural indices (1953) with Milicerowa’s modifications (1956). We determined the following: composition factors (m), index of total body size (M), internal proportions of the body composition, evenness of composition, the code of internal proportions; also the assessment of internal proportions of the body composition within each of the factors.Taking into consideration the mean values of the studied somatic features in the control group and the comparative group we found differences in their body composition. The representatives of the Polish national tennis team showed substantially longer upper and lower limbs, and the body height was greater. They also had much greater forearm perimeter and shorter pelvic width. As to the total body size, the tennis players slightly exceeded the students (M = 0.24). The total body size (M) resulted from high values of length features (m1 = 1.01), low ones of stoutness (m2 = –0.39) and medium ones of obesity (m3 = 0.1). The value of the intragroup variability index (harmony of composition) amounted to 1.4 and the code of internal proportions of tennis players’ body composition — to 6—2—4. The proportions of internal features of the stoutness index (natural indices of features within a factor) showed the advantage of the forearm perimeter (1.62) and elbow width (0.36). The knee width (–1.30) and pelvic width (–0.60) were disproportionate to the total value of this factor. The input of features characterizing the length factor was relatively proportional.Keywords: tennis, training, body composition, internal proportions.

scholarly journals Accounting for height in indices of body composition during childhood and adolescence

2019 ◽  
Vol 4 ◽  
pp. 105 ◽  
Author(s):  
Linda M. O'Keeffe ◽  
Abigail Fraser ◽  
Laura D. Howe
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Body Mass ◽  
Fat Mass ◽  
Early Life ◽  
Fat Free Mass ◽  
Childhood And Adolescence ◽  
Total Body Mass ◽  
Total Body ◽  
Age And Sex

Correlations of body composition with height vary by age and sex during childhood. Standard approaches to accounting for height in measures of body composition (dividing by height (in meters)2) do not take this into account. Using measures of total body mass (TBM), fat mass (FM) and fat free mass (FFM) at ages nine, 11, 13, 15 and 18 years from a longitudinal UK cohort study (ALSPAC), we calculated indices of body composition at each age by dividing measures by height (in meters)2. We then produced age-and sex-specific powers of height using allometric regressions and calculated body composition indices by dividing measures by height raised to these powers. TBM, FM and FFM divided by height2 were correlated with height up-to age 11 in females. In males, TBM and FM divided by height2 were correlated with height up-to age 15 years while FM divided by height2 was correlated with height up-to age 11 years. Indices of body composition using age-and sex-specific powers were not correlated with height at any age. In early life, age-and sex-specific powers of height, rather than height in meters2, should be used to adjust body composition for height when measures of adiposity/mass independent of height are required.

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

scholarly journals Evaluation of the relationship between body composition and weight-height index – BMI

2019 ◽  
Vol 73 ◽  
pp. 572-580
Author(s):  
Katarzyna Banach ◽  
Paweł Glibowski ◽  
Paulina Skorek
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Epidemiological Studies ◽  
Overweight And Obesity ◽  
The Body ◽  
Impedance Method ◽  
Composition Analysis ◽  
Obese People ◽  
The Relationship

Aim: Body composition, especially the mass of adipose tissue, affects the risk of developing the metabolic and cardiovascular diseases as well as some cancers. The aim of this study was to determine the relationship between the body composition of adults and their Body Mass Index. Material/Methods: The study involved 120 subjects (69 women and 51 men) aged 19 – 66 (30.55 ± 10.41). The recruited subjects were assigned to three subgroups: with normal body weight, overweight and obesity, depending on the BMI value. There were 40 subjects in each subgroup, including 23 women and 17 men. Besides the measurements of height and body mass, the SECA mBCA515 analyser was applied for the body composition analysis using the bioelectric impedance method. Results: A significant association was found between the BMI index and fat mass, lean mass and muscle mass, both in the whole group and after taking into account the sex. The correlation coefficient R range was from –0.88 to 0.97. The incidence of obesity in the studied group according to body fat content criteria (>25% for men and >30% for women) was 57%, while according to BMI criteria –33%. BMI cut-off points for obesity were 27.8, 26.4 and 26.4 kg/m2 for men, women and for all, respectively. Conclusions: In epidemiological studies, to identify obese people, body fat should also be taken into account in addition to BMI. If obesity is understood as excess fat, and not excess weight, the cut-off points for BMI-based obesity should be lowered.

The Half Body Study Does Effectively Reflect Total Body Composition of Fat, Lean and Total Body Mass

2014 ◽  
Vol 17 (3) ◽  
pp. 413
Author(s):  
J. Wang ◽  
A.K. Pall ◽  
F. Rajan ◽  
M. Lothert ◽  
T.W. Schwalenberg ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Total Body Mass ◽  
Total Body Composition ◽  
Total Body

scholarly journals Exploring the Relationship between Skeletal Mass and Total Body Mass in Birds

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0141794 ◽  
Author(s):  
Elizabeth Martin-Silverstone ◽  
Orsolya Vincze ◽  
Ria McCann ◽  
Carl H. W. Jonsson ◽  
Colin Palmer ◽  
...  
Keyword(s):  
Body Mass ◽  
Total Body Mass ◽  
Skeletal Mass ◽  
Total Body ◽  
The Relationship

scholarly journals Body composition in professional female netball players within and between seasons: a cohort study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Luke Hogarth ◽  
Ava Farley ◽  
Max McKenzie ◽  
Brendan Burkett ◽  
Mark McKean
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
The Body ◽  
Limited Information ◽  
Mineral Density ◽  
Preparation Period ◽  
Total Body ◽  
Composition Changes

Abstract Background There is limited information on the physique attributes of female netball players from the highest playing standards and the typical body composition changes that occur with training and competition in these athletes. The purpose of this study was to examine the body composition of professional female netball players and changes that occur within and between national premier netball seasons. Methods Dual-energy X-ray absorptiometry (DXA) assessments were conducted in 20 female netball players (age = 26.5 [4.7] years, body mass = 77.3 [9.7] kg, stature = 182.7 [9.5] cm) contracted to a Suncorp Super Netball team. Total body lean mass, fat mass, bone mass and bone mineral density were derived for 127 assessments collected over three seasons. Linear mixed effects modelling was used to examine changes in body composition measures within and between seasons. Results Goal circle players were heavier (12.3 [3.5] kg, p < 0.001, g = 1.51) and taller (15.0 [2.7] cm, p < 0.001, g = 2.30) than midcourt players, and midcourt players had greater lean mass (3.1 [1.6] %, p = 0.07, g = 0.85) and less fat mass (-3.3 [1.7] %, p = 0.06, g = -0.84) than goal circle players when values were normalised to body mass. Players achieved increases in lean mass (2,191 [263] g, p < 0.01, g = 0.45) and decreases in fat mass (-835 [351] g, p = 0.09, g = -0.16) following a preseason preparation period. There were no changes in lean mass (-394 [295] g, p = 0.54, g = 0.07) or fat mass (102 [389] g, p = 0.99, g = 0.04) from the start to the end of the 14-week competition period. Conclusions Professional female netball players achieve small changes in lean mass and fat mass during preseason preparation and maintain their physique over the competitive season. The results of this study can inform practitioners on the training content necessary to promote or maintain desired body composition changes in these athletes.

scholarly journals Body Mass Index, Lean Mass, and Body Fat Percentage as Mediators of the Relationship between Milk Consumption and Bone Health in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Purificación López-Muñoz ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Morales ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Bone Health ◽  
Milk Consumption ◽  
Mineral Density ◽  
Total Body ◽  
The Relationship

Identifying environmental factors that influence bone health is crucial for developing effective intervention strategies that maximize peak bone mass. The aim of this study was to estimate the relationship between milk consumption and bone mineral density (BMD) in young adults, and to examine whether this relationship is mediated by body mass index (BMI) and total lean and fat mass. A cross-sectional study involving college students (n = 239) from a Spanish public university was performed. Data on milk consumption and anthropometric and body composition variables were collected. The Pearson correlation coefficients among total body BMD, body composition variables, and milk consumption ranged from −0.111 to −1.171, most of them statistically significant (p < 0.05). The ANCOVA (analysis of covariance) models showed that those with higher regular milk consumption had less total body BMD than those with lower regular milk consumption (p < 0.05), even after controlling for different sets of confounders. In the mediation analysis, BMI and lean and fat mass turned out to act as full mediators of the relationship between regular milk consumption and total body BMD (z = −1.7148, −1.3208, and −1.8549, respectively; p ≤ 0.05). In conclusion, milk consumption, per se, does not seem to have a direct effect on bone development, because its association seems to be fully mediated by body composition variables in young adults.

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