title: Extension of equations for predicting viscosity parameters with whole body bioelectrical impedance to a sedentary population.
abstract: In a previous paper we determined predictive equations for predicting viscosity parameters with whole body Bioelectrical impedance (BIA) in athletes. We have tried to extend this analysis to a sedentary population. 36 sedentary obese or insulin resistant patients (40.36+/-2.30 years; 85.77+/-3.54 kg; 165.93+/-1.56 cm) were enrolled into this study. Body composition was assessed with a multifrequency bioelectrical impedancemeter Dietosystem Human IM Scan that uses low intensity at the following frequencies: 1, 5, 10, 50 and 100 kHz. Analysis was performed with the software Master 1.0 that gives the choice among 25 published equations for body composition calculation. Viscometric measurements were done at 1000 s(-1) with a falling ball viscosimeter (MT 90 Medicatest). Hematocrit was measured with microcentrifuge. Two hemorheological parameters were independently correlated with impedance (Z) measurements at 50 kHz: whole blood viscosity (WBV) (r=0.541, p=0.01) and hematocrit (Hct) (r=-0.686, p=0.01). New equations slightly different from those we report in the previous paper were found. These findings confirm our previous reports of relationships between whole body electric properties and factors of blood viscosity in athletes and allow the use of BIA to a sedentary population. Obviously, extension of this study will be needed to determine if BIA can be used to generalize predictive equations in both sedentary and trained individuals.
authors.affiliation: Laboratoire de Pharmacocinétique Clinique, Faculté de Pharmacie, Université Montpellier I, France.
authors.forename: E
authors.initials: E
authors.lastname: Varlet-Marie
authors.forename: J-F
authors.initials: JF
authors.lastname: Brun
mesh_terms: D000328:Adult; D001809:Blood Viscosity / Q000502:physiology*; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D017097:Electric Impedance; D005260:Female; D006801:Humans; D007899:Leisure Activities; D008297:Male; D009765:Obesity / Q000503:physiopathology; D012044:Regression Analysis