Total body water and ECFV measured using bioelectrical impedance analysis and indicator dilution in horses.

The purposes of this study were 1) to determine the compartmentation of body water in horses by using indicator dilution techniques and 2) to simultaneously measure bioelectrical impedance to current flow at impulse current frequencies of 5 and 200 kHz to formulate predictive equations that could be used to estimate total body water (TBW), extracellular fluid volume (ECFV), and intracellular fluid volume (ICFV). Eight horses and ponies weighing from 214 to 636 kg had catheters placed into the left and right jugular veins. Deuterium oxide, sodium thiocyanate, and Evans blue were infused for the measurement of TBW, ECFV, and plasma volume (PV), respectively. Bioelectrical impedance was measured by using a tetrapolar electrode configuration, with electrode pairs secured above the knee and hock. Measured TBW, ECFV, and PV were 0.677 +/- 0.022, 0.253 +/- 0.006, and 0.040 +/- 0.002 l/kg body mass, respectively. Strong linear correlations were determined among measured variables that allowed for the prediction of TBW, ECFV, ICFV, and PV from measures of horse length or height and impedance. It is concluded that bioelectrical impedance analysis (BIA) can be used to improve the predictive accuracy of noninvasive estimates of ECFV and PV in euhydrated horses at rest.     

Equation for estimating total body water by bioelectrical impedance measurements in Japanese subjects]

This article reports a study in which the equation for total body water (TBW) estimated from deuterium (2H2O)-dilution method and bioelectrical impedance measurement (BIM) is described. Subjects were 60 healthy males aged 30 +/- 18.3 yr (18-74) and 31 healthy females aged 37 +/- 17.5 yr (19-70). Total body water determined by the analysis of the dilution of orally ingested deuterium oxide (1g2H2O, 99.75 atom % excess/kg body weight) in urine. Bioelectrical impedance was measured for each subjects in a supine position using an electrical impedance analyzer (500 microA, 50kHz, T-1988K, Toyo Physical Inc.) with a four electrodes (Y-250, Nihon Kohden). The mean values of total body water and the impedance in males and females subjects were 34.1 +/- 4.27 l and 25.7 +/- 2.42 l, 567 +/- 28.5 omega and 562 +/- 32.5 omega, respectively. Height squared divided by resistance (Ht2/R) correlated well with TBW as measured by 2H2 O, r = 0.530 (p less than 0.001) in males and r = 0.782 (p less than 0.001) in females. The best-fitting regression equation to predict TBW comprised Ht2/R(X1) and body weight (X2) (R = 0.915, SEE = 1.70 l in males and R = 0.834, SEE = 1.28 l in females). Equations were provided with BIM instrument for the prediction of TBW: for males TBW, l = 0.1983X1 + 0.4004X2 - 0.7938 and for females TBW, l = 0.3536X1 + 0.1269X2 + 3.3417. These results suggest that bioelectrical impedance measurement is a useful measure of total body water in Japanese subjects.     

Comparison of proximal and distal placements of electrodes to assess body composition by bioelectrical impedance in obese adults

The purpose of this study was to compare the variability and accuracy of proximal and traditional distal electrode placement to estimate body composition in obese adults. Fifty-two obese men and women had a mean age of 37 years and an average body mass index (BMI) of 30.6 kg.m(-2). Body composition was measured using DEXA and an RJL bioelectric impedance analysis 101A bioelectric impedance analyzer. Impedance was measured using the traditional distal electrode placement (hand and foot) and a proximal electrode placement where the current detecting electrodes were placed in the antecubital and popliteal fossae. The distal resistance was 482.4 +/- 79 Omega, which was more than double the mean proximal values of 193.2 +/- 27 Omega. Multiple regression analysis derived the best-fitting equation to predict DEXA-derived fat-free mass. The combination of Ht(2)/R (height(2)/resistance) and mass were the only significant predictors for both the proximal and distal electrode placements. The resulting R(2) values were 0.86 and 0.88, whereas standard errors of the estimate (SEEs) were 4.0 and 3.6 kg for the distal and proximal placements, respectively. An independent sample of 40 obese women was used to cross-validate this new equation. Mean impedance predictions using the distal and proximal electrode placements (45.78 +/- 1.07 and 45.29 +/- 0.97 Omega, respectively) were similar to the reference values (45.29 +/- 0.64 Omega) determined by DEXA. Fat-free mass predicted with the distal and proximal electrode placements correlated significantly (p < 0.001) with the reference fat-free mass value (r = 0.72 and 0.75, respectively). These data suggest that using a proximal electrode placement and a fatness-specific equation helps to reduce the variability of the bioelectric impedance analysis technique in obese adults.     

A comparison of skinfolds and leg-to-leg bioelectrical impedance for the assessment of body composition in children

BACKGROUND: This field-based investigation examined the congruence between skinfolds and bioelectrical impedance in assessing body composition in children. METHODS: Subjects were 162 female and 160 male children 10-15 years of age. Skinfold measures obtained at the triceps and medial calf and a leg-to-leg bioelectrical impedance system were used to determine percent fat using child-specific equations. Pearson product moment correlations were performed on the percent fat values obtained using skinfolds and bioelectric impedance for the entire data set. Separate correlations were also conducted on gender and age/gender subsets. Dependent t tests were used to compare the two techniques. RESULTS: Percent fat did not differ between skinfolds and bioelectrical impedance for the total subject pool. Bioelectrical impedance overestimated percent fat in girls by 2.6% and underestimated percent fat in boys by 1.7% (p < 0.01). Correlations between skinfolds and bioelectrical impedance ranged from r = 0.51 to r = 0.90. CONCLUSIONS: Leg-to-leg bioelectrical impedance may be a viable alternative field assessment technique that is comparable to skinfolds. The small differences in percent fat between the two techniques may have limited practical significance in school-based health-fitness settings.     

Energy expenditure, energy intake and prevalence of obesity after therapy for acute lymphoblastic leukemia during childhood

OBJECTIVES: To investigate the prevalence and potential risk factors of obesity after therapy for childhood acute lymphoblastic leukemia (ALL). STUDY DESIGN: 39 ALL patients (age 10.7-20.5 years) who were in first remission for 3.4-14.6 years after standardized treatment with chemotherapy plus cranial irradiation (n = 25) or with chemotherapy alone (n = 14) were examined. After fasting overnight, the following parameters were investigated: body mass index (BMI) of patients and their parents; patients' BMI before ALL therapy; serum free thyroxin, growth hormone-dependent factors, estradiol, testosterone, cortisol, leptin and c-peptide; fat-free mass (bioelectrical impedance); resting metabolic rate (RMR, indirect calorimetry); caloric intake (24-hour recall); and physical activity (questionnaire). RMR data were applied to the fat-free mass and compared with 83 controls. RESULTS: The prevalence of obesity (criterion: BMI > 2 SDS) was significantly (p < 0.05) higher after ALL therapy (38%; irradiated patients 48%, non-irradiated patients 21%) than before therapy (3%). Compared to non-irradiated patients, irradiated patients had significantly lower RMRs (-1.07 +/- 0.24 vs. -0.32 +/- 0.21 SDS; p < 0.05), reduced physical activity levels (1.41 +/- 0.03 vs. 1.52 +/- 0.03; p < 0.05), and lower concentrations of insulin-like growth factor-binding protein-3 (-0.65 +/- 0.17 vs. 0.25 +/- 0.33 SDS; p < 0.05) and of free thyroxin (1.17 +/- 0.06 vs. 1.38 +/- 0.08 ng/dl; p < 0.05). Caloric intake was adequate. CONCLUSIONS: After ALL during childhood, patients face a higher risk of obesity. In the cranially irradiated patients, the likely causes are low physical activity, RMRs and hormonal insufficiency.     

Evaluation of Bioelectrical Impedance Analysis for Identifying Overweight Individuals at Increased Cardiometabolic Risk: A Cross-Sectional Study

Objective

To investigate whether bioelectrical impedance analysis could be used to identify overweight individuals at increased cardiometabolic risk, defined as the presence of metabolic syndrome and/or diabetes.

Design and Methods

Cross-sectional study of a Scottish population including 1210 women and 788 men. The diagnostic performance of thresholds of percentage body fat measured by bioelectrical impedance analysis to identify people at increased cardiometabolic risk was assessed using receiver-operating characteristic curves. Odds ratios for increased cardiometabolic risk in body mass index categories associated with values above compared to below sex-specific percentage body fat thresholds with optimal diagnostic performance were calculated using multivariable logistic regression analyses. The validity of bioelectrical impedance analysis to measure percentage body fat in this population was tested by examining agreement between bioelectrical impedance analysis and dual-energy X-ray absorptiometry in a subgroup of individuals.

Results

Participants were aged 16-91 years and the optimal bioelectrical impedance analysis cut-points for percentage body fat for identifying people at increased cardiometabolic risk were 25.9% for men and 37.1% for women. Stratifying by these percentage body fat cut-points, the prevalence of increased cardiometabolic risk was 48% and 38% above the threshold and 24% and 19% below these thresholds for men and women, respectively. By comparison, stratifying by percentage body fat category had little impact on identifying increased cardiometabolic risk in normal weight and obese individuals. Fully adjusted odds ratios of being at increased cardiometabolic risk among overweight people with percentage body fat ≥25.9/37.1% compared with percentage body fat <25.9/37.1% as a reference were 1.93 (95% confidence interval: 1.20–3.10) for men and 1.79 (1.10–2.92) for women.

Conclusion

Percentage body fat measured using bioelectrical impedance analysis above a sex-specific threshold could be used in overweight people to identify individuals at increased cardiometabolic risk, who could benefit from risk factor management.     

Percentage of total body fat as estimated by three automatic bioelectrical impedance analyzers

The present study aimed to compare the accuracy of estimating the percentage of total body fat (%TBF) among three bioelectrical impedance analysis (BIA) devices: a single-frequency BIA with four tactile electrodes (SF-BIA4), a single-frequency BIA with eight tactile electrodes (SF-BIA8) and a multi-frequency BIA with eight tactile electrodes (MF-BIA8). Dual-energy x-ray absorptiometry (DXA) and hydrostatic weighing (HW) were used as references for the measured values. Forty-five healthy college student volunteers (21 males: 172.9 +/- 5.5 cm and 65.8 +/- 9.1 kg and 24 females: 160.7 +/- 6.6 cm, 52.6 +/- 6.2 kg) were the subjects. Correlation coefficients between the BIA measurements and the references were calculated. The standard error of estimation (SEE) was calculated by regression analysis when estimating the reference measures (DXA and HW) from the predictor (SF-BIA4, SF-BIA8 and MF-BIA8). The differences in %TBF between the reference and the predictor, calculated by the reference minus the predictor, were plotted against the %TBF measured by the references. The MF-BIA 8 here showed the highest correspondence to the reference and the least estimation error compared with the other BIA methods. It is considered that there is a limit to directly estimate FFM from a regression equation using impedance, weight, height and age as independent variables, and that %TBF can be more accurately estimated by measuring segmental impedances using eight electrodes and multi-frequency electric currents and then estimating total body water from these impedances.     

Validity of the BOD POD for assessing body composition in athletic high school boys

The purpose of this study was to validate the percentage of body fat (%BF) values estimated from the BOD POD (BP) with those obtained from hydrostatic weighing (HW) in athletic American high school boys. Additionally, the %BF values measured via near-infrared interactance (NIR), bioelectrical impedance (BIA), and skinfold (SF) were compared to HW to determine the validity of these measures. Thirty white boys (mean age +/- SD = 15.8 +/- 1.0 years) who where currently participating in organized sports volunteered to have their %BF estimated. Measurements were obtained from NIR, BP, BIA, and SF in random order and concluded with HW. The findings from the present study indicated that the NIR and BIA instruments produced significant (P < 0.008) constant error (CE) and total error (TE) values that were too large to be of practical value (TE > 4.0%BF). The BP produced a significantly (P < 0.008) higher CE with acceptable TE values compared to HW, but compared to all three SF estimations, the BP TE values were higher. Two of the SF equations were nonsignificant (P > 0.008) and had the lowest TE values compared to HW. These data suggest that the BP can produce acceptable body fat measures for athletic white boys but is not superior to estimates made by the SF equations used in this study.     

Body build related body composition and nutrition in adulthood--a comparison of skinfold thickness measurement and bioelectric impedance analysis

The objective of the present study was to conduct a comprehensive analysis of body build, body composition and nutritional status. The study sample consists of 498 men and women aged from 35 to 65 years. Subjects underwent a detailed anthropometric examination incompassing thirty-one body measurements, eleven skinfold thickness measurements, and bioelectrical impedance analysis for determination of body composition. Dietary intake was assessed by a semiquantitative food frequency questionnaire. Body composition was clearly associated with age and body build. Somatometric differentiation by use of the metric index showed that percentage of body fat was significantly higher in pycnomorphic compared to leptomorphic subjects, whereas reported dietary energy intake was lower. Comparison of estimates of body fat showed considerably deviating results for skinfold thickness measurements and bioelectrical impedance analysis depending on the equations used. This was especially pronounced in obese subjects, where, on an average, bioelectrical impedance analysis resulted in higher values for percentage of body fat compared to skinfold thickness measurements. We conclude that for assessment of nutritional status body composition should be investigated taking into account body build in addition to age and sex.     

Segmental body composition assessed by bioelectrical impedance analysis and DEXA in humans

Bracco, David, Daniel Thiébaud, René L. Chioléro, Michel Landry, Peter Burckhardt, and Yves Schutz.Segmental body composition assessed by bioelectrical impedanceanalysis and DEXA in humans. J. Appl.Physiol. 81(6): 2580-2587, 1996.The present study assessed the relative contribution of each body segment to wholebody fat-free mass (FFM) and impedance and explored the use ofsegmental bioelectrical impedance analysis to estimate segmental tissuecomposition. Multiple frequencies of whole body and segmentalimpedances were measured in 51 normal and overweight women. Segmental tissue composition was independentlyassessed by dual-energy X-ray absorptiometry. The sum ofthe segmental impedance values corresponded to the whole body value(100.5 ± 1.9% at 50 kHz). The arms and legs contributed to 47.6 and 43.0%, respectively, of whole body impedance at 50 kHz, whereas they represented only 10.6 and 34.8% of total FFM, asdetermined by dual-energy X-ray absorptiometry. The trunk averaged10.0% of total impedance but represented 48.2% of FFM. For eachsegment, there was an excellent correlation between the specificimpedance index(length²/impedance) and FFM(r = 0.55, 0.62, and 0.64 for arm,trunk, and leg, respectively). The specific resistivity was in asimilar range for the limbs (159 ± 23 cm for the arm and 193 ± 39 cm for the leg at 50 kHz) but was higher for the trunk (457 ± 71 cm). This study shows the potential interest of segmental bodycomposition by bioelectrical impedance analysis and provides specificsegmental body composition equations for use in normal and overweightwomen.

     

Leptin in relation to hepatocellular carcinoma in patients with liver cirrhosis

OBJECTIVES: This study was conducted to investigate whether leptin is involved in the etiogenesis of hepatocellular carcinoma (HCC) in cirrhotic patients. METHODS: Thirty-one male cirrhotic patients with HCC, 26 male cirrhotic patients without HCC, and 25 control subjects were included in this study. Body fat mass (FM) was determined by bioelectrical impedance analysis, and serum leptin and hormone concentrations were measured by immunoassay. RESULTS: A significant correlation of serum leptin levels to FM was observed in both patient groups and control subjects (r = 0.760, p < 0.001; r = 0.520, p < 0.01; r = 0.460, p < 0.05, respectively). The serum leptin levels in cirrhotic patients with or without HCC were significantly higher than those in control subjects (6.0 +/- 1.1 vs. 6.1 +/- 0.6 vs. 3.8 +/- 0.3 ng/ml, p < 0.05), though their body FM was lower. Using a multiple logistic regression analysis, it was found that the odds ratio of serum leptin for HCC was 1.04 (95% CI 0.79-1.33) after adjustment of several known risk factors. CONCLUSIONS: Our study demonstrated that cirrhotic patients with or without HCC had increased serum leptin concentrations. However, leptin did not appear to be associated with the development of HCC in cirrhotic patients.     

Gender-related differences in maximum mechanical power output in short-term activities in children and adolescents

The study was designed to examine the gender-related differences in maximum mechanical power output in various short-burst activities during growth. The subject sample consisted of four subgroups: 9 boys (14.11 +/- 0.6 yr), 9 boys (10.67 +/- 0.71 yr), 7 girls (14.29 +/- 0.49 yr), 7 girls (10.57 +/- 0.54 yr). We measured peak power (PP), mean power (MP), fatigue index (FI) during 30-s WAnT, squat jump height (SJH) and power (SJP), and counter movement jump height (CMJH) and power (CMJP), maximum speed over 20-metre distance (S20). Lactation concentration was measured in the 3rd and 5th minutes after the WAnT Ratio normalisation and ANCOVA were used to remove the influence of the differences in muscle (MM) and body mass (BM). Male adolescents had higher absolute values of PP (P < 0.05), MP (P < 0.05) than female. Ratio normalisation showed that boys had higher PP/BM (P < 0.05), PP/MM (P < 0.05), MP/BM (P < 0.05), MP/MM (P < 0.06) than girls. The ANCOVA adjustment for MM showed differences between genders in PP (P < 0.001), MP (P < 0.001), SJH (P < 0.05), SJP (P < 0.05) and CMJP (P < 0.001), whereas the ANCOVA adjustment for BM showed differences only in PP (P < 0.001), MP (P < 0.001). Prepubertal boys had higher absolute values only in SJP (P < 0.05). We concluded that variations in body composition could not be the only key to gender-related differences in power output in short-burst activities.     

Validity of leg-to-leg bioelectrical impedance measurement in highly active women

The aim of this study was to compare the validity of the leg-to-leg bioelectrical impedance analysis (BIA) method with that of anthropometry using hydrostatic weighing (HW) as the criterion test. A secondary objective was to cross-validate previously developed anthropometric regression equations as well as to develop a new regression equation formula based on the anthropometric data collected in this study. Three methods for assessing body composition (HW, BIA, and anthropometric) were applied to 60 women university athletes. The means and standard deviations of age, weight, height, and body mass index (BMI) of athletes were as follows: age, 20.70 +/- 1.43; weight, 56.19 +/- 7.83 kg; height, 163.33 +/- 6.11 cm; BMI, 21.01 +/- 2.63 kg x m(-2). Leg-to-leg BIA (11.82 +/- 2.39) has shown no statistical difference between percentage body fat determined by HW (11.63 +/- 2.42%) in highly active women (p > 0.05). This result suggests that the leg-to-leg BIA and HW methods were somewhat interchangeable in highly active women (R = 0.667; standard error of estimate [SEE] = 1.81). As a result of all cross-validation analyses, anthropometric and BIA plus anthropometric results have generally produced lower regression coefficients and higher SEEs for highly active women between the ages of 18 and 25 years. The regression coefficients (0.903, 0.926) and SEE (1.08, 0.96) for the new regression formulas developed from this study were better than the all the other formulas used in this study.     

The influence of posture change on measurements of relative body fat in the bioimpedance analysis method

The purpose of this study was to clarify the influence of posture change on relative body fat in the bioelectrical impedance analysis (BIA) method. The subjects were 30 Japanese healthy young adult males (age: 19.8 +/- 1.4 years, height: 172.3 +/- 5.8 cm, weight: 67.1 +/- 8.2 kg). We used devices with different body segment inductions, between the hand and foot (H-F BIA) and between hands (H-H BIA), and set four measurement conditions differing in posture (supine or sitting), during rest and measurement. The reliabilities of %BF in the H-H and H-F BIA methods were very high (r = 0.995, 0.966), and the relationship in %BF between the UW method and each BIA method was mid-range (r = 0.767, 0.709). Although there were no differences in %BF among different measurement postures in the H-F BIA method, %BF in the H-H BIA method increased significantly when the posture was changed just before measurement. This indicated that it is necessary to pay attention to the posture change just before measurement in the H-H BIA method.     

Validation of tetrapolar bioelectrical impedance method to assess human body composition

This study was conducted to validate the relationship between bioelectrical conductance (ht2/R) and densitometrically determined fat-free mass, and to compare the prediction errors of body fatness derived from the tetrapolar impedance method and skinfold thicknesses, relative to hydrodensitometry. One-hundred and fourteen male and female subjects, aged 18-50 yr, with a wide range of fat-free mass (34-96 kg) and percent body fat (4-41%), participated. For males, densitometrically determined fat-free mass was correlated highly (r = 0.979), with fat-free mass predicted from tetrapolar conductance measures using an equation developed for males in a previous study. For females, the correlation between measured fat-free mass and values predicted from the combined (previous and present male data) equation for men also was strong (r = 0.954). The regression coefficients in the male and female regression equations were not significantly different. Relative to hydrodensitometry, the impedance method had a lower predictive error or standard error of the estimates of estimating body fatness than did a standard anthropometric technique (2.7 vs. 3.9%). Therefore this study establishes the validity and reliability of the tetrapolar impedance method for use in assessment of body composition in healthy humans.     

Body composition assessment in extreme obesity and after massive weight loss induced by gastric bypass surgery

Body composition methods were examined in 20 women [body mass index (BMI) 48.7 +/- 8.8 kg/m(2)] before and after weight loss [-44.8 +/- 14.6 (SD) kg] after gastric bypass (GBP) surgery. The reference method, a three-compartment (3C) model using body density by air displacement plethysmography and total body water (TBW) by H(2)18O dilution (3C-H(2)18O), showed a decrease in percent body fat (%BF) from 51.4 to 34.6%. Fat-free mass hydration was significantly higher than the reference value (0.738) in extreme obesity (0.756; P < 0.001) but not after weight reduction (0.747; P = 0.16). %BF by H(2)18O dilution and air displacement plethysmography differed significantly from %BF by 3C-H(2)18O in extreme obesity (P < 0.05) and 3C models using (2)H(2)O or bioelectrical impedance analysis (BIA) to determine TBW improved mean %BF estimates over most other methods at both time points. BIA results varied with the equation used, but BIA better predicted %BF than did BMI at both time points. All methods except BIA using the Segal equation were comparable to the reference method for determining changes over time. A simple 3C model utilizing air displacement plethysmography and BIA is useful for clinical evaluation in this population.     

The effect of weight reduction on plasma concentrations of ghrelin and insulin-like growth factor 1 in obese women

Introduction: The aim of the present study was to examine how weight loss treatment modulates plasma concentrations of ghrelin and insulin-like growth factor 1 (IGF-1) in obese women and to determine whether there is any association with possible changes in plasma concentrations of these hormones after weight loss. Material and methods: The study group consisted of 22 obese women without additional disease (age 40.6 +/- 12.9 years; BMI 37.2 +/- 4.6 kg/m(2)). All subjects participated in a 3-month weight reduction program. The measurements were performed at baseline and after weight loss. Plasma concentration of ghrelin and IGF-1 were measured by enzyme - linked immunosorbent assay (ELISA) kit. Serum concentrations of insulin were measured by radioimmunoassay (RIA). Body composition was determined by bioelectrical impedance analysis using a Bodystat analyser. Results: The mean weight loss was 9.3 +/- 4.1 kg (9.7 +/- 4.3%). Following weight loss, plasma ghrelin and IGF-1 concentrations increased significantly (63.5 +/- 13.0 vs. 72.8 +/- 15.1 pg/ml; p < 0.01; 126.9 +/- 67.0 vs. 170.5 +/- 83.3 ng/ml p < 0.01, respectively) and serum insulin concentrations decreased significantly (17.5 +/- 8.5 vs. 14.8 +/- 10.4 mIU/ml p< 0.05). We observed a significant positive correlation between the increase of ghrelin and decrease of body fat percentage after weight loss (r = 0.44, p = 0.03). There are no correlations between change of ghrelin and IGF-1concentrations and between changes of insulin and IGF 1 concentrations. Conclusion: Plasma concentrations of ghrelin and IGF-1 increased after weight loss. However, it seems there is no association between serum concentrations of ghrelin and IGF-1 in obese women.     

Physical and pubertal development in young male gymnasts.

The purpose of this study was to evaluate the effect of intense training on physical growth and sexual maturation in young male gymnasts. Physical development, pubertal development, testosterone levels, energy expenditure, and relative body fat were examined in 21 circumpubertal male gymnasts (13.3 +/- 0.3 yr) and 24 age-matched controls (13.5 +/- 0.3 yr). Subjects completed a self-assessment of genital and pubic hair development with the use of the Tanner scale. All subjects were measured for height, weight, and salivary testosterone levels (T). The Physical Activity Questionnaire for Adolescents was used to estimate weekly energy expenditure in metabolic equivalents. Percent body fat (%BF) was assessed by using bioelectrical impedance analysis. Developmental stages and T, as well as height and weight, were not different between groups. Energy expenditure was significantly higher (P 相似文献   

Reliability assessment of ballistic jump squats and bench throws

The purpose of this investigation was to determine the test-retest reliability and coefficient of variation of 2 novel physical performance tests. Ten healthy men (22.0 +/- 3.0 years, 87.0 +/- 8.0 kg, 20.0 +/- 5.0% body fat) performed 30 continuous and dynamic jump squats (JS) and bench throws (BT) on 4 separate occasions. The movements were performed under loaded conditions utilizing 30% of subject's predetermined 1 repetition maximum in the back squat and bench press. Mean power (MP; W), peak power (PP; W), mean velocity (MV; m.s(-1)), peak velocity (PV; m.s(-1)), and total work (TW; J) were assessed using a ballistic measurement system (Innervations Inc., Muncie, IN). Data were analyzed using repeated measures analysis of variance with Duncan's post hoc test when mean differences were p < or = 0.05. Intraclass correlation coefficient (ICC) and within-subject coefficient of variation (CV%) were also calculated. All values are presented as mean +/- SE. BT variables were statistically similar across the 4 sessions: MP (350.0 +/- 13.9 W), PP (431.4 +/- 18.5 W) MV (1.6 +/- 0.03 m.s(-1)), PV (2.0 +/- 0.03 m.s(-1)), and TW (199.1 +/- 7.2 J). For JS, session 3 PP (1,669.8 +/- 111.2 W) was significantly greater vs. sessions 1, 2, and 4 (1,601.2 +/- 58.4 W). Session 4 MP (1,403.2 +/- 88.6 W) and MV (1.9 +/- 0.1 m.s(-1)) for JS were significantly lower during sessions 1, 2, and 3 (MP: 1,479.4.5 +/- 44.8 W, MV: 2.0 +/- 0.05 m.s(-1)). TW (834.7 +/- 24.3 J) and PV (2.2 +/- 0.04 m.s(-1)) were statistically similar during all sessions for JS. The CVs ranged from 3.0 to 7.6% for the BT and 3.2 to 5.7% for the JS. ICCs for MP, PP, MV, PV, and TW were 0.92, 0.95, 0.94, 0.91, and 0.95, respectively, during BT. ICCs during JS for MP, PP, MV, PV, and TW were 0.96, 0.98, 0.94, 0.94, and 0.89, respectively. The results of the current study support the use of a 30 continuous and dynamic BT protocol as a reliable upper-body physical performance test, which can be administered with minimal practice. Slightly greater variability for JS was observed, although the test had high reliability.     

Leptin in type 2 diabetic or myotonic dystrophic women.

BACKGROUND: Insulin resistance is an important determinant of circulating leptin concentrations in humans, but its independent contribution on plasma leptin levels are controversial. In the present study, we characterized plasma leptin levels and their regulation in women with 2 different insulin resistance states: type 2 diabetes and myotonic dystrophy disease, and in controls. MATERIAL AND METHODS: We studied 3 groups of women: 21 type 2 diabetic patients, 20 myotonic dystrophic patients and a control group of 20 normoglycemic subjects, matched in age and body mass index. Body composition, fasting glucose and insulin, IGF-I, IGF-binding protein-3 and leptin were studied. Body composition was measured using a bioelectrical impedance analyser. Insulin sensitivity (in percentage) was modeled according to a computer-based homeostasis model assessment model. Data are expressed in mean +/- SEM. RESULTS: In both groups of patients, glucose concentrations were higher in type 2 diabetic patients than in myotonic dystrophic patients, and insulin concentrations and insulin sensitivity were similar in the 2 groups of patients (82.4 +/- 18.6% in type 2 diabetic patients vs. 69.7 +/- 9.7% in myotonic dystrophic patients, p = 0.2) and lower than in controls. Serum leptin and leptin/fat mass ratio were higher in myotonic dystrophic patients than in type 2 diabetic patients (30 +/- 4.9 ng/ml vs. 17.7 +/- 2.6 ng/ml, p = 0.03 and 2.32 +/- 0.69 ng/ml/kg vs. 1.07 +/- 0.2 ng/ml/kg, p = 0.02, respectively) or those found in controls. In type 2 diabetic patients, leptin concentrations were correlated with body mass index and body fat, and in myotonic dystrophic patients leptin concentrations were correlated with age, body mass index, fasting insulin and lower insulin sensitivity, whereas leptin concentrations were not correlated with body fat. CONCLUSIONS: These findings suggest that leptin concentrations and regulation in myotonic dystrophic patients are different from type 2 diabetes.