scholarly journals IMPACT OF BODY FAT AND OBESITY ON TISSUE DIELECTRIC CONSTANT (TDC) AS A METHOD TO ASSESS BREAST CANCER TREATMENT-RELATED LYMPHEDEMA (BCRL)

Lymphology ◽  
2019 ◽  
Vol 52 (1) ◽  
Author(s):  
H Mayrovitz

Obesity is linked to the risk of breast cancer and treatment-related lymphedema (BCRL). Thus, knowledge of how obesity, or more specifically total body fat percentage (TBF) and body mass index (BMI), affect measurements that are used to detect or track lymphedema is clinically important. Tissue dielectric constant (TDC) is one measure used to help characterize lymphedema features, detect its presence, and assess treatment-related changes. The goal of this research was to determine the extent to which TDC values depend on TBF and BMI. TDC was measured on both forearms (2.5mm depth) in 250 women (18-72 years) along with TBF (impedance, 50KHz). TBF was 12.2%-54.4% (median=29.3%) and BMI was 14.7Kg/m2-44.3 Kg/m2 (median=22.6 Kg/m2). TDC values and interarm ratios were compared between subgroups that had TBF and BMI values in lower vs. upper quartiles. Subjects in the upper quartile had slightly lower TDC values (1.3 TDC units, p <0.01) that was at most a 5% differential. Contrastingly, TDC interarm ratios were not dependent on TBF or BMI levels. These findings suggest that when tracking lymphedema changes using the TDC method, treatment-related or temporal changes in a woman’s TBF or BMI are unlikely to significantly impact TDC values or their inter-arm ratios.

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhang Juan ◽  
Zhang Qing ◽  
Liang Yongping ◽  
Liyuan Qian ◽  
Wei Wu ◽  
...  

Background: Docetaxel is an important chemotherapy-agent for breast cancer treatment. One of its side-effects is weight gain, which increases the all-cause mortality rate. Considering gut microbiota is one important factor for weight regulation, we hypothesized that probiotics could be potentially used to reduce the docetaxel-related weight gain in breast cancer patients.Methods: From 10/8/2018 to 10/17/2019, 100 breast cancer (Stage I-III) patients underwent four cycles of docetaxel-based chemotherapy were enrolled and randomly assigned to receive probiotics (Bifidobacterium longum, Lactobacillus acidophilus, and Enterococcus faecalis) or placebo (supplementary material of the probiotics capsule) treatment for 84 days with three capsules per time, twice/day. The primary outcome: the changes in body weight and body-fat percentage of the patients were measured by a designated physician using a fat analyzer, and the secondary outcomes: the fasting insulin, plasma glucose, and lipids were directly obtained from the Hospital Information System (HIS); The metabolites were measured using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS); The fecal microbiome was analyzed using bacterial 16S ribosomal RNA (rRNA) gene sequence. All indicators were measured 1 day before the first cycle of docetaxel-based chemotherapy and 21 days after the last cycle of docetaxel-based chemotherapy.Results: Compared with the placebo group, the probiotic group showed significantly smaller changes in body weight (Mean [SD] 0.77 [2.58] vs. 2.70 [3.08], P = 0.03), body-fat percentage (Mean [SD] 0.04 [1.14] vs. 3.86 [11.09], P = 0.02), and low density lipoprotein (LDL) (Mean [SD]−0.05[0.68] vs. 0.39 [0.58], P = 0.002). Moreover, five of the 340 detected plasma metabolites showed significant differences between the two groups. The change of biliverdin dihydrochloride (B = −0.724, P = 0.02) was inverse correlated with weight gain. One strain of the phylum and three strains of the genus were detected to be significantly different between the two groups. Also, the changes of Bacteroides (B = −0.917, P < 0.001) and Anaerostipes (B = −0.894, P < 0.001) were inverse correlated with the change of LDL.Conclusions: Probiotics supplement during docetaxel-based chemotherapy for breast cancer treatment may help to reduce the increase in body weight, body-fat percentage, plasma LDL, and minimize the metabolic changes and gut dysbacteriosis.Clinical Trial Registration:http://www.chictr.org.cn/showproj.aspx?proj=24294, ChiCTR-INQ-17014181.


2007 ◽  
Vol 10 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Tian-Min Zhang ◽  
Hao Xu ◽  
Zhong-Man Yuan ◽  
Jia-Xuan Chen ◽  
Jian Gong ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Nirmala Rathnayake ◽  
Gayani Alwis ◽  
Janaka Lenora ◽  
Sarath Lekamwasam

Attempts have been made to estimate body fat using anthropometry, and most of them are country-specific. This study was designed to develop and cross-validate anthropometric predictive equations to estimate the total body fat percentage (TBFP) of Sri Lankan adult women. A cross-sectional study was conducted in Galle, Sri Lanka, with two groups: Group A (group for equation development) and Group B (cross-validation group) (n = 175 each) of randomly selected healthy adult women aged 30–60 years. TBFP (%) was quantified with total body DXA (TBFPDXA). Height (m), weight (kg), and skinfold thickness (SFT, mm) at six sites and circumferences (cm) at five sites were measured. In the first step, four anthropometric equations were developed based on the data obtained from multiple regression analyses (TBFPDXA = dependent variable and anthropometric measurements and age = independent variables) with Group A. They were developed on the basis of circumferences (TBFP1), SFTs (TBFP2), circumferences and SFTs (TBFP3), and highly significant circumferences and SFTs (r ≥ 0.6) (TBFP4). In the second step, the newly developed equations were cross-validated using Group B. Three equations (TBFP1, TBFP2, and TBFP4) showed the agreement with cross-validation criteria. There were no differences between TBFPDXA and TBFP estimated by these equations (p>0.05). They showed higher measurement concordance with TBFPDXA; correlation between measured TBFP with DXA and estimated with TBFP1, TBFP2, and TBFP4, respectively, was 0.80 (R2 = 0.65, SEE = 3.10), 0.83 (R2 = 0.69, SEE = 2.93), and 0.84 (R2 = 0.72, SEE = 2.78). Three anthropometric measurements based on predictive equations were developed and cross-validated to satisfactorily estimate the TBFP in adult women.


Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1760
Author(s):  
Cesar Campos-Ramírez ◽  
Víctor Ramírez-Amaya ◽  
Liliana Olalde-Mendoza ◽  
Jorge Palacios-Delgado ◽  
Miriam Aracely Anaya-Loyola

A high consumption of soft drinks (SDs) has been linked with the development of anthropometric and metabolic alterations. We evaluate the association between SD consumption and some anthropometric and metabolic variables. This study is an observational study, using a sample of 394 university students, of which 158 were men (40.1%) and 238 women (59.9%), between 18 and 30 years. An SD intake questionnaire provided the consumption of different SDs. The participants’ weight, height, and waist and hip circumferences were collected. Metabolic biomarkers were analyzed. The average intake of caloric SDs (CSDs) was 1193.6 ± 1534.8 mL/week and 84.5 ± 115.02 mL/week for non-caloric SDs (NCSDs). Sex differences were found in the amount of SD consumption and these statistical differences were driven by those men subjects with a high total body fat percentage (TBF%). In men, correlations were found between the intake of CSDs and the body mass index, waist and hip circumferences, TBF%, and visceral fat percentage. In woman, a correlation was found with glucose and triglycerides. The prediction model revealed that the intake of CSDs predicts TBF% and low-density lipoprotein only in men. A high amount of CSD consumption in men was associated with a high TBF%, and this may be predictive of future development of metabolic abnormalities.


2017 ◽  
Vol 49 (5S) ◽  
pp. 266
Author(s):  
Daniel C. Flegg ◽  
Jessica A. Insogna ◽  
Ryan E.R Reid ◽  
Patrick Delisle-Houde ◽  
Ross E. Andersen

2016 ◽  
Vol 48 ◽  
pp. 356
Author(s):  
Ryan Martin ◽  
Gabrielle Giersch ◽  
Courtney Stosnider ◽  
Jacob D. Ridings ◽  
Christopher J. Womack ◽  
...  

2020 ◽  
pp. jech-2020-213930
Author(s):  
K Eli ◽  
F Karpe ◽  
S Ulijaszek

BackgroundAs measured through body mass index (BMI), obesity is more prevalent among upwardly mobile adults than among adults born into middle-class families. Although BMI reflects general adiposity, health risks are more strongly associated with abdominal adiposity. It is therefore important to investigate associations between upward mobility and fat distribution.MethodsA socioepidemiological questionnaire was developed, qualitatively validated and piloted with Oxford BioBank participants. Sex-specific analyses of variance (ANOVA) investigated associations between participant occupational class and adiposity, paternal occupational class and adiposity, and upward occupational mobility and adiposity. The main aim was to observe whether the expected directional effect of adiposity in relation to paternal occupational class would emerge.Results280 participants (166 women, 114 men; age 32–67 years) completed the questionnaire. Men with fathers of occupational class 2 or 3 had higher mean BMI, total body fat percentage, android fat mass and android-to-gynoid fat mass ratio than men with fathers of occupational class 1. Women with fathers of occupational class 2 or 3 had higher mean BMI, total body fat percentage, android fat mass and gynoid fat mass than women with fathers of occupational class 1. Among men, upward mobility was not associated with adiposity. Among women, upward mobility was associated with higher total body fat percentage, android fat mass and gynoid fat mass.ConclusionThe expected directional effect was found, thereby supporting the questionnaire’s use. Upward mobility did not appear to change associations between paternal occupational class and participant adiposity. Future research using the socioepidemiological questionnaire should investigate associations between gender, educational mobility, adiposity and health.


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