DTIC ADA285475: Skin Blood Flow and Bioelectrical pdf

DTIC ADA285475: Skin Blood Flow and Bioelectrical_bookcover

DTIC ADA285475: Skin Blood Flow and Bioelectrical

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This study was performed to determine the effect of changes in skin blood flow (SBF) on bioelectrical resistance (RES). Twenty-three men had their left hand repeatedly immersed (1 min) and removed from water (3 min) for a total of 12 min in order to manipulate SBF in the contralateral (right) limbs where RES electrodes were located. Tests were completed at three water temperatures (5, 15, and 350C) in constant ambient air temperature (25 +/- 1 deg C). SBF was monitored on the middle finger of the right hand using a laser-Doppler flowmeter, and skin temperature on the dorsal right hand (Th) and foot (Tf). Time series analysis revealed cyclic SBF and RES responses were inversely correlated at all water temperatures (r = -0. 38 to -0. 64; p .05) . T. and Tf were not correlated with SBF for any test. During hand immersion in 5, 15, and 350C water, SBF decreased by 36, 20, and 4%, respectively, while RES increased by 3.5, 2.0, and 0.7 ohms, respectively.

When incorporated into existing bioimpedance (BIA) prediction equations, the largest RES difference observed (3. 5 ohms) translated into a difference of 0.4% body fat and 0.4 L body water. Changes in SBF of the magnitude observed in this study appear to have a relatively small impact on BIA prediction of body water and composition. Bioelectrical impedance, Skin blood flow, Body composition, Skin temperature, Laser-Doppler flowmetry

  • Creator/s: Defense Technical Information Center
  • Date: 6/14/1994
  • Year: 1994
  • Book Topics/Themes: DTIC Archive, Beckett, Marcie B, NAVAL HEALTH RESEARCH CENTER SAN DIEGO CA, *ELECTRODES, *SKIN(ANATOMY), *BLOOD, *BIOELECTRICITY, TEST AND EVALUATION, TEMPERATURE, TISSUES(BIOLOGY), IMPACT, PREDICTIONS, HUMANS, AIR, HUMAN BODY, HANDS, IMMERSION, FLOWMETERS, BODIES, BIAS, IMPEDANCE, EQUATIONS, FATS, FLOW, FINGERS, SUBCUTANEOUS TISSUE, EXTREMITIES, CONSTANTS, WATER, RESISTANCE, LIPIDS, TIME SERIES ANALYSIS, LASERS, RESPONSE

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