Cross-sex hormone therapy in transgender persons affects total body weight, body fat and lean body mass: a meta-analysis

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
2002 ◽  
Vol 57 (3) ◽  
pp. 107-114 ◽  
Author(s):  
Pauline L. Martin ◽  
Joan Lane ◽  
Louise Pouliot ◽  
Malcolm Gains ◽  
Rudolph Stejskal ◽  
...  

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 219-219
Author(s):  
Toru Aoyama ◽  
Takaki Yoshikawa ◽  
Taiichi Kawabe ◽  
Hirohito Fujikawa ◽  
Tsutomu Hayashi ◽  
...  

219 Background: Postoperative changes in body weight and composition during first 1 month after gastrectomy remained unclear. Methods: The patients who underwent gastrectomy for gastric cancer between May 2010 and October 2013 were examined. Body weight and composition were evaluated by bioelectrical impedance analyzer within 1 week before surgery (first measurement), at 1 week after surgery (second measurement), and at 1 month after surgery (third measurement). The changes of the early period were defined as the differences until the second measurement, while those of the late period as the differences from the second to the third measurement. Results: Two-hundred forty four patients were selected for this study. Total body weight loss (BWL) within 1 month was -3.4 kg and the rate of body weight at 1 month to the preoperative body weight was 94.1%. BWL was significantly greater in the early period rather than that of the late period (-2.1 kg vs -1.2 kg, p<0.001). In the early period, loss of lean body mass was significantly greater than loss of fat mass (-1.5 kg vs -0.6 kg, p<0.001). The same trend was observed regardless of type of gastrectomy and surgical approach. Conclusions: Loss of lean body mass within 1 week was a major determinant for total body weight loss at 1 month. To maintain lean body mass within 1 week and total body weight at 1 month, future trial should be focused on not the surgical approach but nutritional intervention within 1 week.


HIV Medicine ◽  
2002 ◽  
Vol 3 (4) ◽  
pp. 263-270 ◽  
Author(s):  
IB Wilson ◽  
DL Jacobson ◽  
R Roubenoff ◽  
D Spiegelman ◽  
TA Knox ◽  
...  

Author(s):  
Rien Hoge ◽  
Suzan Detert Oude Weme ◽  
Walter Vervenne ◽  
Inge van Berlo - van de Laar ◽  
Carla van Herpen ◽  
...  

Aim: In our study we examined whether anthropometric and body composition parameters, i.e. body surface area (BSA), lean body mass (LBM) and total body weight (TBW), are correlated with docetaxel clearance and exposure. In addition, LBM, TBW and a fixed dose were compared to BSA as dosing parameters for dose individualisation of docetaxel. Methods: Thirty-six patients affected by breast or castration-resistant prostate carcinoma receiving docetaxel chemotherapy entered the study. LBM was measured by a Dual Energy Xray Absorptiometry (DEXA) scanner before treatment. Blood samples were collected up to 180 minutes after dosing to analyse docetaxel concentrations and to determine individual pharmacokinetic (PK) parameters. Results: No significant correlations were found between the docetaxel pharmacokinetic parameters clearance and volume of distribution and the anthropometric and body composition variables BSA, LBM and TBW. AUC was significantly but poorly correlated with BSA (r=0.452 [p=0.016]) and with TBW (r=0.476 (p=0.011]). The Mean Absolute Percentage Error and Mean Error of simulated dosing based on LBM and fixed dosing ME were not significant different compared to BSA. For TBW, only the MAPE of dosing was significant higher compared to BSA (24.1 vs. 17.1, P=0.001). Conclusion: There is no correlations between docetaxel pharmacokinetics and the anthropometric and body composition variables BSA, LBM and TBW. Dose individualisation of docetaxel based on LBM or TBW or fixed dosing cannot be recommended over BSA based dosing.


1963 ◽  
Vol 41 (1) ◽  
pp. 2225-2235
Author(s):  
A. DesMarais ◽  
P. A. Lachance

The well known reduction in growth rate of cold-acclimated rats has been shown to depend on a decreased gain in total body fat, without change in the gain in lean body weight. This has been observed in rats fed Lab Chow or a high-fat diet ad libitum. In those groups fed a high-carbohydrate diet ad libitum or calorie-restricted high-fat or high-carbohydrate diets, exposure to cold had no effect on the gain in neither total body weight nor lean body weight, which were already reduced by the diet; in those animals, the significant decrease in the gain in total body fat upon exposure to cold was compensated by a slight but unsignificant increase in the gain in lean body weight, so that differences in gain in total body weight were not significant.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yi Wang ◽  
Zehua Chen ◽  
Zugui Wu ◽  
Xiangling Ye ◽  
Xuemeng Xu

Background: Evidence for the efficacy of Pilates for the modulation of body weight and body composition is unclear.Objective: This meta-analysis aimed to evaluate the effects of Pilates on body weight and body composition in adults with overweight or obesity.Data Sources: The PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), and EMBASE databases were systematically searched from the inception dates to 12 November 2020 for relevant randomized controlled trials (RCTs).Study Selection: Randomized controlled trials comparing Pilates with other physical exercises or without any intervention were included.Data Extraction and Synthesis: Three reviewers independently performed the data extraction and assessed study quality. The mean differences (MDs) and 95% confidence intervals (CIs) for pooled data were calculated.Main Outcomes and Measures: Outcome measures were body weight, body mass index (BMI), body fat percentage, lean body mass, and waist circumference.Results: Eleven RCTs with 393 subjects were included. This study revealed that Pilates dramatically reduces body weight (MD = −2.40, 95% CI: [−4.04, −0.77], P = 0.004, I2 = 51%), BMI (MD = −1.17, 95% CI: [−1.85, −0.50], P = 0.0006, I2 = 61%), and body fat percentage (MD = −4.22, 95% CI: [−6.44, −2.01], P = 0.0002, I2 = 88%) in adults with overweight or obesity. The reduction in body weight and body fat percentage appears to be more pronounced in studies including participants with obesity only, and the efficacy of Pilates for the improvement of body weight and BMI appears to be more evident in longer intervention duration. However, Pilates has no significant effect on waist circumference (MD = −2.65, 95% CI: [−6.84, 1.55], P = 0.22, I2 = 0%) and lean body mass (MD = −0.00, 95% CI: [−1.40, 1.40], P = 1.00, I2 = 23%).Conclusions: Pilates dramatically reduces body weight, BMI, and body fat percentage in adults with overweight or obesity. Large-scale and well-designed RCTs with improved methodology and reporting are urgently needed to further confirm these results.


1978 ◽  
Vol 54 (5) ◽  
pp. 477-479
Author(s):  
S. Kojo Addae ◽  
S. Dakubu ◽  
E. T. Larmie ◽  
R. Boatin ◽  
E. H. Belcher

1. Standard radioisotope dilution techniques employing [3H]water and [22Na]sodium chloride have been used to determine the total body water and total exchangeable sodium of 20 male and 10 female normal Ghanaians (Africans) aged 19–25 years. 2. Lean body mass and total body fat are calculated as a percentage of body weight; the total exchangeable sodium values have been expressed in relation to lean body mass. 3. Comparison of the data for Ghanaian subjects with published figures for Caucasian subjects of similar age shows that the Ghanaian men have much less total body fat and the women a little less total body fat than their Caucasian counterparts. 4. Total exchangeable sodium expressed in terms of lean body mass shows close agreement in both men and women.


2021 ◽  
Vol 11 (3) ◽  
pp. 159
Author(s):  
Daan J. de Jong ◽  
Wouter B. Veldhuis ◽  
Frank J. Wessels ◽  
Bob de Vos ◽  
Pim Moeskops ◽  
...  

In contrast-enhanced computed tomography, total body weight adapted contrast injection protocols have proven successful in achieving a homogeneous enhancement of vascular structures and liver parenchyma. However, because solid organs have greater perfusion than adipose tissue, the lean body weight (fat-free mass) rather than the total body weight is theorised to cause even more homogeneous enhancement. We included 102 consecutive patients who underwent a multiphase abdominal computed tomography between March 2016 and October 2019. Patients received contrast media (300 mgI/mL) according to bodyweight categories. Using regions of interest, we measured the Hounsfield unit (HU) increase in liver attenuation from unenhanced to contrast-enhanced computed tomography. Furthermore, subjective image quality was graded using a four-point Likert scale. An artificial intelligence algorithm automatically segmented and determined the body compositions and calculated the percentages of lean body weight. The hepatic enhancements were adjusted for iodine dose and iodine dose per total body weight, as well as percentage lean body weight. The associations between enhancement and total body weight, body mass index, and lean body weight were analysed using linear regression. Patients had a median age of 68 years (IQR: 58–74), a total body weight of 81 kg (IQR: 73–90), a body mass index of 26 kg/m2 (SD: ±4.2), and a lean body weight percentage of 50% (IQR: 36–55). Mean liver enhancements in the portal venous phase were 61 ± 12 HU (≤70 kg), 53 ± 10 HU (70–90 kg), and 53 ± 7 HU (≥90 kg). The majority (93%) of scans were rated as good or excellent. Regression analysis showed significant correlations between liver enhancement corrected for injected total iodine and total body weight (r = 0.53; p < 0.001) and between liver enhancement corrected for lean body weight and the percentage of lean body weight (r = 0.73; p < 0.001). Most benefits from personalising iodine injection using %LBW additive to total body weight would be achieved in patients under 90 kg. Liver enhancement is more strongly associated with the percentage of lean body weight than with the total body weight or body mass index. The observed variation in liver enhancement might be reduced by a personalised injection based on the artificial-intelligence-determined percentage of lean body weight.


Author(s):  
Maartje Klaver ◽  
Marieke Dekker ◽  
Thomas Schreiner ◽  
Alessandra Fisher ◽  
Guy T'sjoen ◽  
...  

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