Magnitude and variation of ratio of total body potassium to fat-free mass: a cellular level modeling study

2001 ◽  
Vol 281 (1) ◽  
pp. E1-E7 ◽  
Author(s):  
Zimian Wang ◽  
F. Xavier Pi-Sunyer ◽  
Donald P. Kotler ◽  
Jack Wang ◽  
Richard N. Pierson ◽  
...  

Potassium is an essential element of living organisms that is found almost exclusively in the intracellular fluid compartment. The assumed constant ratio of total body potassium (TBK) to fat-free mass (FFM) is a cornerstone of the TBK method of estimating total body fat. Although the TBK-to-FFM (TBK/FFM) ratio has been assumed constant, a large range of individual and group values is recognized. The purpose of the present study was to undertake a comprehensive analysis of biological factors that cause variation in the TBK/FFM ratio. A theoretical TBK/FFM model was developed on the cellular body composition level. This physiological model includes six factors that combine to produce the observed TBK/FFM ratio. The ratio magnitude and range, as well as the differences in the TBK/FFM ratio between men and women and variation with growth, were examined with the proposed model. The ratio of extracellular water to intracellular water ( E/I) is the major factor leading to between-individual variation in the TBK/FFM ratio. The present study provides a conceptual framework for examining the separate TBK/FFM determinants and suggests important limitations of the TBK/FFM method used in estimating total body fat in humans and other mammals.

2006 ◽  
Vol 904 (1) ◽  
pp. 420-423 ◽  
Author(s):  
ROGER M. SIERVOGEL ◽  
L. MICHELE MAYNARD ◽  
WAYNE A. WISEMANDLE ◽  
ALEX F. ROCHE ◽  
SHUMEI S. GUO ◽  
...  

1975 ◽  
Vol 48 (5) ◽  
pp. 431-440 ◽  
Author(s):  
C. J. Edmonds ◽  
B. M. Jasani ◽  
T. Smith

1. Total body potassium was estimated by 40K measurement with a high-sensitivity whole-body counter in normal individuals over a wide age range and in patients who were obese or were grossly wasted as a result of various conditions which restricted food intake. 2. Potassium concentration (mmol/kg body weight) fell with increasing age over 30 years in both normal males and females, but when individuals of different age groups were matched for height, a significant fall in total body potassium with increasing age was observed only in males. Total body potassium of females was about 75% that of males of similar height when young, the sex difference decreasing with ageing. In the normal population, total body potassium was significantly correlated with height and with weight; regression equations for various relationships are given. 3. Fat-free mass was estimated from total body potassium, values of 65 and 56 mmol of potassium/kg fat-free mass being used for males and females respectively. Body fat estimated by this method correlated well with skinfold measurements over a wide range of body weight but in malnourished individuals having inadequate food intake there was considerable discrepancy and present formulae for estimating fat-free mass from total body potassium appear unsatisfactory in malnutrition. Considerable differences between expected and observed values of total body potassium were found in muscular individuals and in normal individuals who were thin but whose body weight was relatively constant. 4. The patients with malnutrition were low both in body fat as estimated by skinfold thickness and in total body potassium estimated on the basis of height. Plasma potassium was, however, normal and potassium supplements did not increase the total body potassium. 5. Total body potassium of obese individuals was not significantly different from that of normal weight individuals on the basis of height. Total body potassium fell on weight reduction with a very low energy diet of 1260 kJ (300 kcal.) daily but changed little with a 3300 kJ (800 kcal.) diet over several months' observation. 6. For overweight, obese individuals, total body potassium was best predicted from the individual's height. For those whose body weight was less than expected, the use of weight gave the best prediction but the error was considerable when the weight deviation was large.


2014 ◽  
Vol 306 (4) ◽  
pp. E433-E442 ◽  
Author(s):  
Stephen E. Borst ◽  
Joshua F. Yarrow ◽  
Christine F. Conover ◽  
Unyime Nseyo ◽  
John R. Meuleman ◽  
...  

Testosterone acts directly at androgen receptors and also exerts potent actions following 5α-reduction to dihydrotestosterone (DHT). Finasteride (type II 5α-reductase inhibitor) lowers DHT and is used to treat benign prostatic hyperplasia. However, it is unknown whether elevated DHT mediates either beneficial musculoskeletal effects or prostate enlargement resulting from higher-than-replacement doses of testosterone. Our purpose was to determine whether administration of testosterone plus finasteride to older hypogonadal men could produce musculoskeletal benefits without prostate enlargement. Sixty men aged ≥60 yr with a serum testosterone concentration of ≤300 ng/dl or bioavailable testosterone ≤70 ng/dl received 52 wk of treatment with testosterone enanthate (TE; 125 mg/wk) vs. vehicle, paired with finasteride (5 mg/day) vs. placebo using a 2 × 2 factorial design. Over the course of 12 mo, TE increased upper and lower body muscle strength by 8–14% ( P = 0.015 to <0.001), fat-free mass 4.04 kg ( P = 0.032), lumbar spine bone mineral density (BMD) 4.19% ( P < 0.001), and total hip BMD 1.96% ( P = 0.024) while reducing total body fat −3.87 kg ( P < 0.001) and trunk fat −1.88 kg ( P = 0.0051). In the first 3 mo, testosterone increased hematocrit 4.13% ( P < 0.001). Coadministration of finasteride did not alter any of these effects. Over 12 mo, testosterone also increased prostate volume 11.4 cm3 ( P = 0.0051), an effect that was completely prevented by finasteride ( P = 0.0027). We conclude that a higher-than-replacement TE combined with finasteride significantly increases muscle strength and BMD and reduces body fat without causing prostate enlargement. These results demonstrate that elevated DHT mediates testosterone-induced prostate enlargement but is not required for benefits in musculoskeletal or adipose tissue.


2014 ◽  
Vol 66 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Arthur Lyra ◽  
Alexandre José Bonfitto ◽  
Vera Lucia P. Barbosa ◽  
Ana Cristina Bezerra ◽  
Carlos Alberto Longui ◽  
...  

Aim: To compare the body composition of overweight children and adolescents by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) before and after physical activity program. Methods: One hundred and eleven patients with mean age (SD) of 12 (1.9) participated in the study. We assessed the weight, height, waist circumference (WC), and body composition by DXA and BIA. Patients underwent a program of diet and physical activity (1 h 30 min/day, 3 times a week for 3 months) and were evaluated before and after this period. Results: Mean initial zBMI were 2.3 (0.5) and waist SDS 5.9 (1.8). Significant differences were observed when we compared the measurements taken by DXA and BIA, respectively: total body fat percentage (40 and 31.5) and fat-free mass (43.1 and 50.6 kg). Regarding the trunk fat by DXA, there was a positive correlation with the WC/height ratio (r = 0.65; p < 0.01). After the intervention period, we observed a reduction in the zBMI, waist SDS, and total body fat and increase of fat-free mass by DXA. BIA only detected reduction in fat. Conclusion: BIA underestimates the percentage of fat and overestimates fat-free mass in relation to DXA. There is positive correlation between trunk fat and the ratio WC/height. In addition, DXA detected changes in body composition induced by a short period of physical training, unlike BIA. © 2014 S. Karger AG, Basel


1996 ◽  
Vol 74 (5) ◽  
pp. 386-399 ◽  
Author(s):  
N C de Bruin ◽  
K A van Velthoven ◽  
M de Ridder ◽  
T Stijnen ◽  
R E Juttmann ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5706-5706
Author(s):  
Marianna Thordardottir ◽  
Sigrun Helga Lund ◽  
Ebba K Lindqvist ◽  
Rene Costello ◽  
Debra Burton ◽  
...  

Abstract Background Nearly all multiple myelomas (MM) are preceded by the premalignant state, monoclonal gammopathy of undetermined significance (MGUS), an asymptomatic condition that needs no treatment. The etiology of MGUS and MM is to a large extent unknown. Two studies on the association between obesity and MGUS have been conducted with conflicting results, despite a reported association between obesity and MM. The aim of this study was to determine if obesity is associated with an increased risk of MGUS and light-chain MGUS (LC-MGUS) in a population-based screened cohort of individuals above the age of 65 years using extensive number of markers for current and early life obesity. Methods This study was based on participants from the Age, Gene/Environment Susceptibility – Reykjavik Study (AGES-RS), which is a continuation of the Reykjavik Study, a population-based study performed by the Icelandic Heart Association. In 1967, the Reykjavik Study began recruiting a sample of over 30,000 residents of Reykjavik from the 1907-1935 birth cohorts. In 2002, the AGES-RS began recruiting 5,764 of the surviving members. Serum protein electrophoresis (SPEP) and serum free light-chain assay were performed on all subjects. Obesity measures were performed at baseline, and participants were additionally asked about their weight at the age of 25 years. The measures at baseline included were weight (kg), body mass index (BMI) (kg/m2), percent body fat, fat (kg), and fat-free mass (kg) from bioimpedance, total body fat area (cm2), visceral and subcutaneous fat area (cm2), and waist circumference (cm). The association with MGUS and LC-MGUS was analyzed using logistic regression and adjustment was made for age and sex. Cox proportional-hazard regression was performed to test whether obesity was a risk factor for progression from MGUS to MM and lymphoproliferative diseases. Results A total of 304 (5.3%) MGUS cases and 118 participants (2.1%) with LC-MGUS were identified. No association was found between any of the obesity markers and MGUS (Table). A statistically significant positive association was found between obesity (BMI ≥ 30 kg/m2) at study baseline and LC-MGUS (Table). Weak but statistically significant association was found between LC-MGUS and BMI at baseline, weight, max weight, percent body fat, fat in kg, fat-free mass, and waist circumference (Table). No association was found on risk of MGUS using joint effect of early adulthood BMI and BMI at study entry. Analysis on the effect of the obesity markers on the progression from MGUS to MM and lymphoproliferative diseases showed no association. Conclusion In this large population-based cross-sectional study aimed at evaluating the association between obesity and MGUS and LC-MGUS, we found obesity (BMI ≥ 30 kg/m2) to be associated with 2-fold excess risk for LC-MGUS. An association was additionally found between several of the obesity markers used and LC-MGUS. Future studies are needed to clarify underlying mechanisms for this finding. However, we did not find an association between any of the obesity markers and MGUS. Taken together, we were unable to confirm the previously reported association between MGUS and obesity. Abstract 5706. Table: Obesity and risk of MGUS or light-chain MGUS (LC-MGUS) No MGUS MGUS LC-MGUS No MGUS vs. MGUS OR* (95%CI) No MGUS vs. LC MGUS OR* (95%CI) BMI (n) <25 1783 102 26 Reference Reference 25-30 2286 147 55 1.15 (0.88 - 1.50) 1.55 (0.97 - 2.49) ≥30 1176 51 34 0.85 (0.60 - 1.20) 2.12 (1.26 - 3.58) BMI 25y (n) <25 3949 220 83 Reference Reference ≥25 809 44 25 0.87 (0.62-1.22) 1.13 (0.71-1.79) BMI (kg/m2) 27.0 26.7 28.3 1.00 (0.97 - 1.02) 1.07 (1.03 - 1.12) BMI 25y (kg/m2) 22.8 22.9 22.9 0.99 (0.94 - 1.04) 0.93 (0.86 - 1.01) Weight (kg) 75.2 75.3 84.1 1.00 (0.99 - 1.01) 1.03 (1.02 - 1.04) Max weight (kg) 80.6 82.3 89.1 1.00 (0.99 - 1.01) 1.02 (1.01 - 1.03) Percent body fat (%) 28.9 26.8 27.2 0.99 (0.97 - 1.02) 1.04 (1.01 - 1.07) Fat (kg) 21.9 20.5 22.7 1.00 (0.98 - 1.02) 1.04 (1.01 - 1.07) Fat free mass (kg) 53.4 55.4 60.3 1.00 (0.98 - 1.02) 1.04 (1.01 - 1.07) Total body fat area (cm2) 493.1 481.8 543.2 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) Visceral fat area (cm2) 171.8 174.4 209.4 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) Subcutaneous fat area (cm2) 256.3 241.6 260.1 1.00 (1.00 - 1.00) 1.00 (1.00 - 1.00) CT waist circumference (cm) 125.7 125.7 131.1 1.00 (0.99 - 1.01) 1.03 (1.01 - 1.04) Waist circumference (cm) 100.7 100.8 105.6 1.00 (0.99 - 1.01) 1.03 (1.01 - 1.05) *Adjusted for age and sex Disclosures No relevant conflicts of interest to declare.


2011 ◽  
Vol 23 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Magnus Dencker ◽  
Bianca Hermansen ◽  
Anna Bugge ◽  
Karsten Froberg ◽  
Lars B. Andersen

This study investigated the predictors of aerobic fitness (VO2PEAK) in young children on a population-base. Participants were 436 children (229 boys and 207 girls) aged 6.7 ± 0.4 yrs. VO2PEAK was measured during a maximal treadmill exercise test. Physical activity was assessed by accelerometers. Total body fat and total fat free mass were estimated from skinfold measurements. Regression analyses indicated that significant predictors for VO2PEAK per kilogram body mass were total body fat, maximal heart rate, sex, and age. Physical activity explained an additional 4–7%. Further analyses showed the main contributing factors for absolute values of VO2PEAK were fat free mass, maximal heart rate, sex, and age. Physical activity explained an additional 3–6%.


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