scholarly journals Phase Angle Associated with Over-Hydration in Healthy Chinese

2018 ◽  
Author(s):  
Yuanmin Chai ◽  
Li Jing ◽  
Sun Xiuli ◽  
Lei Zhenkun ◽  
Zhang Lirong ◽  
...  
Keyword(s):  
Body Composition ◽  
Phase Angle ◽  
Negative Correlation ◽  
Nutritional Assessment ◽  
Linear Regression Analysis ◽  
Patient Specific ◽  
Multivariate Linear Regression Analysis ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Healthy Chinese

Background A body composition monitor (BCM) has a role not only in determining over-hydration (OH) but also as an aid to nutritional assessment. For dialysis patient-specific clinical applications of BCM, it is necessary to clarify the relationship between body composition parameters and OH in healthy Chinese individuals. Methods This cross-sectional study involved 314 healthy individuals with a mean age of 45.7±13.1 years. BCM measurements were performed while the subjects were fasting. Results The mean OH level was 0.379±0.81 L. Lean tissue index (LTI) and Lean tissue mass (LTM) were significantly higher in males (p<0.001), while fat tissue index (FTI) was significantly higher in females (p<0.001). In univariate correlation analysis, FTI, Fat, and ATM had a negative correlation with OH in females and all subjects (p<0.05), while LTM and BCM had a positive correlation in all subjects (p<0.05). There was a significant negative correlation between phase angle (PhA) and OH in males, females, and all subjects (r=-0.634, p<0.001; r=-0.666, p<0.001; r=-0.484, p<0.001, respectively). In multivariate linear regression analysis, PhA (b=-1.266, p<0.001), LTM (b=0.987, p<0.001), age (b=-0.307, p<0.001) were independent predictors of OH. Conclusions  This study demonstrated that age, LTM and especially PhA, had important roles in predicting OH in healthy Chinese individuals. In the future, PhA may aid in clinical assessment by helping to titrate dry weight among hemodialysis patients with malnutrition.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

MO663THE UTILITY OF SMART SCALES TO MONITOR BODY COMPOSITION IN HEMODIALYSIS PATIENTS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Lucia Cordero ◽  
Marta Rivero Martínez ◽  
Paula Jara Caro Espada ◽  
Elena Gutiérrez ◽  
Evangelina Mérida ◽  
...  
Keyword(s):  
Body Composition ◽  
Fat Tissue ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Composition Data ◽  
The Mean ◽  
Good Concordance ◽  
Urea Distribution Volume ◽  
Assess Body Composition

Abstract Background and Aims Overhydration (OH) is an independent predictor of mortality on hemodialysis (HD). The gold standard to assess OH is BCM monitor from Fresenius®, however BCM is a hospital hold device limiting its use. New smart scales have emerged as household devices reporting daily body composition data. Objective To determine if Renpho ES-CS20M® could be useful on a 52 HD patient to estimate body composition data. Method 72 body composition assessments (BCA) during mid-week HD session were performed. Each BCA included: (1) Predialysis Renpho measurement, (2) Predialysis BCM monitor measurement, (3) Postdialysis Renpho measurement. To track the fluid balance during the HD session: (1) we recorded ultrafiltration, (2) food or fluid intake was not allowed, and (3) none of the HD patients urinated during the HD session. If any intravenous fluids were needed during the HD session, we subtracted them off from UF. Results Data from 52 HD patients were studied (age 58.8 ± 16.8 years, 56.9 % males, 14.7% diabetics), with a mean pre-HD weight of 70.0 ± 13. 4 Kg, overhydration of 1.7 ± 1.5 L and urea distribution volume of 31.7 ± 5.7 L. The mean ultrafiltration during HD session was -1.8 ± 0.9 L. Renpho estimated a Pre – HD hydration of 34.25 ± 6.02 Kg vs 33.4 ± 5.7 Kg by BCM, showing a good concordance between methods (ICC 0.788 [0.67-0.86], B -0.58, p &lt;0.01). Renpho poorly estimated pre – HD lean tissue mass at 45.4 ± 6.9 Kg compared with 33.8 ± 8.0 Kg by BCM. Although Renpho was able to provide a moderate concordant estimation of fat tissue mass (33.8 ± 8.0 % with Renpho vs 34.7 ± 9.6%), the bias proportion was unacceptable. Post- HD hydration by Renpho was not able to reproduce the ultrafiltracion achieved during the HD session (pre-HD 34.25 ± 6.02 Kg vs post-HD 34.08 ± 6.00 Kg). Conclusion Renpho has a proportional bias estimating predialysis hydration compared with BCM monitor, but is not able to assess changes produced with ultrafiltration or other parameters of body composition (as lean or fat tissue mass). Although smart scales are unacurate to assess body composition on HD patients, they could be useful on the follow up of them changing the accuracy for frequency.

scholarly journals Nutritional Markers and Body Composition in Hemodialysis Patients

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rodolfo Valtuille ◽  
Maria Elisa Casos ◽  
Elmer Andres Fernandez ◽  
Adrian Guinsburg ◽  
Cristina Marelli
Keyword(s):  
Body Composition ◽  
Reference Population ◽  
Hydration Status ◽  
Fat Tissue ◽  
C Reactive Protein ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Reactive Protein ◽  
Body Composition Monitor ◽  
High Prevalence

The aims of this study were to analyse body composition, to detect the presence of undernutrition, and to establish a relationship between undernutrition and the biological markers routinely used as indicators of nutritional status in hemodialysis (HD) patients (pts). We used a body composition monitor (BCM) that expresses body weight in terms of lean tissue mass (LTM) and fat tissue mass (FTM) independent of hydration status. From nine HD units, 934 pts were included. Undernutrition was defined as having a lean tissue index (LTI = LTM/height2) below the 10th percentile of a reference population. Biochemical markers and parameters delivered by BCM were used to compare low LTI and normal LTI groups. Undernutrition prevalence was 58.8% of the population studied. Low LTI pts were older, were significantly more frequently overhydrated, and had been on HD for a longer period of time than the normal LTI group. FTI (FTI = FTM/ height2) was significantly higher in low LTI pts and increased according to BMI. LTI was not influenced by different BMI levels. Albumin and C-reactive protein correlated inversely (r=-0.28). However neither of them was statistically different when considering undernourished and normal LTI pts. Our BCM study was able to show a high prevalence of undernutrition, as expressed by low LTI. In our study, BMI and other common markers, such as albumin, failed to predict malnutrition as determined by BCM.

scholarly journals Body composition monitoring in children and adolescents: reproducibility and reference values

2021 ◽  
Author(s):  
Annelies Van Eyck ◽  
Sofie Eerens ◽  
Dominique Trouet ◽  
Eline Lauwers ◽  
Kristien Wouters ◽  
...  
Keyword(s):  
Body Composition ◽  
Reference Values ◽  
Total Body Water ◽  
The Body ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Lean Tissue Mass ◽  
Body Composition Monitor ◽  
Total Body

AbstractThere is an increasing need for suitable tools to evaluate body composition in paediatrics. The Body Composition Monitor (BCM) shows promise as a method, but reference values in children are lacking. Twenty children were included and measured twice by 4 different raters to asses inter- and intra-rater reproducibility of the BCM. Reliability was assessed using the Bland-Altman method and by calculating intraclass correlation coefficients (ICCs). The intra-rater ICCs were high (≥ 0.97) for all parameters measured by BCM as were the inter-rater ICCs for all parameters (≥ 0.98) except for overhydration (0.76). Consequently, a study was set up in which BCM measurements were performed in 2058 healthy children aged 3–18.5 years. The age- and gender-specific percentile values and reference curves for body composition (BMI, waist circumference, fat mass and lean tissue mass) and fluid status (extracellular and intracellular water and total body water) relative to age were produced using the GAMLSS method for growth curves.Conclusion: A high reproducibility of BCM measurements was found for fat mass, lean tissue mass, extracellular water and total body water. Reference values for these BCM parameters were calculated in over 2000 children and adolescents aged 3 to 18 years. What is Known• The 4-compartment model is regarded as the ‘gold standard’ of body composition methods, but is inappropriate for regular follow-up or screening of large groups, because of associated limitations. • Body Composition Monitor® is an inexpensive field method that has the potential to be an adequate monitoring tool.What is New• Good reproducibility of BCM measurements in children provides evidence to use the device in longitudinal follow-up, multicentre and comparative studies.• Paediatric reference values relative to age and sex for the various compartments of the body are provided.

scholarly journals Moderate to high levels of exercise are associated with higher resting energy expenditure in community-dwelling postmenopausal women

2013 ◽  
Vol 38 (11) ◽  
pp. 1147-1153
Author(s):  
Andrew W. Froehle ◽  
Susan R. Hopkins ◽  
Loki Natarajan ◽  
Margaret J. Schoeninger
Keyword(s):  
Metabolic Disease ◽  
Body Composition ◽  
Energy Expenditure ◽  
Postmenopausal Women ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Positive Relation ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Lean Tissue Mass

Postmenopausal women experience an age-related decline in resting energy expenditure (REE), which is a risk factor for energy imbalance and metabolic disease. Exercise, because of its association with greater lean tissue mass and other factors, has the potential to mediate REE decline, but the relation between exercise and REE in postmenopausal women is not well characterized. This study tests the hypothesis that exercise energy expenditure (EEE) is positively associated with REE and can counter the effects of age and menopause. It involves a cross-sectional sample of 31 healthy postmenopausal women (aged 49–72 years) with habitual exercise volumes at or above levels consistent with current clinical recommendations. Subjects kept exercise diaries for 4 weeks that quantified exercise activity and were measured for body composition, maximal oxygen uptake, and REE. Multiple regression analysis was used to test for associations between EEE, age, body composition, and REE. There was a significant positive relation between EEE and lean tissue mass (fat-free mass and fat-free mass index). The relation between REE and EEE remained significant even after controlling for lean tissue mass. These results support the hypothesis that exercise is positively associated with REE and can counter the negative effects of age and menopause. They also indicate a continuous relation between exercise and REE across ranges of exercise, from moderate to high. Exercise at levels that are at or above current clinical guidelines might, in part, ameliorate the risk for energy imbalance and metabolic disease because of its positive relation with REE.

scholarly journals Body Composition in Individuals with Obesity According to Age and Sex: A Cross-Sectional Study

2020 ◽  
Vol 9 (4) ◽  
pp. 1188 ◽  
Author(s):  
Laurent Maïmoun ◽  
Thibault Mura ◽  
Antoine Avignon ◽  
Denis Mariano-Goulart ◽  
Ariane Sultan
Keyword(s):  
Body Composition ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Lower Limbs ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Body Composition Change ◽  
Group A ◽  
Age And Sex

Obesity is characterized by an alteration in body composition (BC); however, it is not known whether this alteration is modified by aging or sex. The aims of this study were to analyze BC in individuals with obesity based on age and sex and to determine the prevalence of sarcopenia. Seven hundred and fifty-five obese individuals were subdivided into four age groups. The hole (WB) and segmental BC were determined using dual-energy X-ray absorptiometry (DXA). In men, the WB lean tissue mass (LTM) and fat mass (FM) adjusted by weight and height were relatively constant with age. In women, the WBLTM was higher and WBFM was lower in the >65 group compared to the 18–34 group. A decrease in the LTM and FM at lower limbs and an increase in the trunk were observed, particularly in women, inducing a lower appendicular lean mass index (ALMI; appendicular LTM/height2) in the >65 group compared to the 18–34 group in both sexes. This study demonstrated that even though the WBLTM and FM are relatively constant with age, individuals with obesity present a localized redistribution of these two components. This body composition change leads to a decrease of the ALMI with age, one of the criteria included in the sarcopenia definition.

scholarly journals Phase Angle: A Possible Biomarker to Quantify Inflammation in Subjects with Obesity and 25(OH)D Deficiency

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1747 ◽  
Author(s):  
Barrea ◽  
Muscogiuri ◽  
Laudisio ◽  
Somma ◽  
Salzano ◽  
...  
Keyword(s):  
Body Composition ◽  
Phase Angle ◽  
Linear Regression Analysis ◽  
Membrane Integrity ◽  
Hypovitaminosis D ◽  
Sample Population ◽  
Low Grade ◽  
Class Iii ◽  
Cell Membrane Integrity ◽  
Metabolic Inflammation

Obesity is associated to chronic low‐grade metabolic inflammation and hypovitaminosis D. Among extra-skeletal effects, an important role in inflammation has been described for vitamin D (25(OH)D). Phase angle (PhA) is a bioelectrical impedance analysis (BIA) parameter that represents an indicator of cellular health in chronic inflammatory states. However, it is still unknown whether a low 25(OH)D levels might correlate with PhA in obesity. Considering the lack of evidence correlating the 25(OH)D levels with PhA in obesity, the aim of this study was to investigate their possible relationship in a group of patients with obesity stratified according to body mass index (BMI) categories. Four hundred and fifty-five adult subjects (219 males and 236 females; 36 ± 11 years) were enrolled. Body composition, including PhA, was assessed using a BIA phase-sensitive system. Serum levels of 25(OH)D was determined by a direct competitive chemiluminescence immunoassay. Most of the participants were affected by grade III obesity (24%) and had 25(OH)D deficiency (67%). Subjects with 25(OH)D deficiency had highest BMI (p < 0.001). Stratifying the sample population according to the BMI classes, 25(OH)D levels decreased significantly along with the increase in BMI (p < 0.001), with the lowest 25(OH)D levels in the class III obesity. In addition, stratifying the sample population according to 25(OH)D categories, BMI and fat mass (FM) decreased, while PhA increased significantly along with the 25(OH)D categories (p < 0.001). The 25(OH)D levels showed significant positive associations with PhA (r = −0.59, p < 0.001), and this association remained significant also after adjusting for BMI and FM (r = 0.60, p < 0.001). The lowest values of PhA were significantly associated with the severity of obesity (OR 0.3, p < 0.001) and of 25(OH)D deficiency (OR 0.2, p < 0.001). To compare the relative predictive power of body composition parameters associated with the 25(OH)D levels, we performed a multiple linear regression analysis. The most sensitive and specific cut-off for 25(OH)D levels to predict the PhA above the median was >14 ng/mL (p < 0.001). In conclusion, we provided preliminary insights into a novel link between 25(OH)D levels and PhA in the setting of obesity. This association uncovered a new potential usefulness of PhA as expression of cell membrane integrity and predictor of inflammation in low 25(OH)D status that might help in identifying high-risk patients with obesity who could benefit from careful 25(OH)D supplementation.

The importance of body composition in explaining variation in feed conversion efficiency and residual feed intake between meat sheep at two different ages

2006 ◽  
Vol 2006 ◽  
pp. 153-153
Author(s):  
S A Knott ◽  
L J Cummins ◽  
B J Leury ◽  
F R Dunshea
Keyword(s):  
Body Composition ◽  
Feed Intake ◽  
Residual Feed Intake ◽  
Feed Conversion ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Physiological Factors ◽  
The Difference ◽  
The Relationship ◽  
Meat Sheep

Residual feed intake (RFI) is a measure of feed efficiency calculated as the difference between an animal’s actual intake and its expected intake based on its liveweight and growth rate over a specified period of time (Richardson, Herd et al. 2002). The efficiency with which an animal utilises energy during growth, is dependent on a number of physiological factors including body composition and the relative proportions of lean tissue mass (LTM) and fat tissue mass (FTM), due to differences in the energy cost of depositing and maintaining these tissues. Protein or lean tissue is continually degraded and resynthesised and thus the rate at which this occurs may contribute to the variation in energy required by an animal for maintenance and growth (Archer, Richardson et al. 1999). The objective of this work was to determine the relationship between feed conversion ratio (FCR, kg feed:kg gain) and residual feed intake (RFI) with body composition in rams at six months of age (6mo), and then again in the same rams at thirteen months of age (13mo).

Effect of a soluble activin receptor type IIB on androgen-deprivation-induced effects on body composition

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 5133-5133
Author(s):  
J. Lachey ◽  
A. Koncarevic ◽  
J. Ucran ◽  
R. S. Pearsall ◽  
M. L. Sherman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Composition ◽  
Side Effects ◽  
Fat Mass ◽  
Lean Mass ◽  
Receptor Type ◽  
Lean Tissue ◽  
Tissue Mass ◽  
Lean Tissue Mass ◽  
Adipose Mass

5133 Background: Androgen deprivation therapy (ADT) is a well-established treatment for hormone sensitive prostate cancer, but is associated with adverse side effects including loss of bone and lean mass and increased adipose mass. Activin receptor type IIB (ActRIIB) signaling is necessary for the negative regulation of lean tissue mass and treatment with a non-signaling, decoy ActRIIB results in a robust increase in lean tissue mass. Methods: Similar to ADT patients, orchiectomized (ORX) mice lose bone and lean mass and gain fat mass. To determine the therapeutic potential of inhibiting ActRIIB signaling to reduce the negative effects associated with ADT, we treated sham-operated (SHAM) and orchiectomized (ORX) mice with RAP-031, a fusion protein comprised of a form of the extracellular domain of ActRIIB linked to a murine Fc. Mice received twice weekly injections for 10 weeks with either vehicle (VEH) or 10 mg/kg RAP-031 (RAP). NMR scanning was used to determine body composition and whole body DEXA scans were performed to determine bone mineral density (BMD). Results: ORX resulted in a 4.4% decrease in BMD, an 18% reduction in lean tissue and a 41.6% increase in adiposity compared to the VEH-SHAM cohort. Both RAP-031treated groups of mice had significantly increased BMD and lean tissue mass and decreased adipose mass compared to their respective VEH groups. However, BMD, lean tissue and adiposity were not significantly different between the VEH-SHAM and RAP-ORX groups. These data illustrate that RAP-031 treatment completely attenuates ORX-induced alterations in bone, lean and fat mass. Conclusions: These data support the hypothesis that treatment with a form of soluble ActRIIB can offset negative side effects of ADT and have significant therapeutic implications for the treatment of patients with prostate cancer. [Table: see text] [Table: see text]

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