EFFECTS OF SKIN BLOOD-FLOW AND TEMPERATURE ON BIOELECTRIC IMPEDANCE AFTER EXERCISE

Citation
Mtc. Liang et S. Norris, EFFECTS OF SKIN BLOOD-FLOW AND TEMPERATURE ON BIOELECTRIC IMPEDANCE AFTER EXERCISE, Medicine and science in sports and exercise, 25(11), 1993, pp. 1231-1239
Citations number
33
Categorie Soggetti
Sport Sciences
ISSN journal
01959131
Volume
25
Issue
11
Year of publication
1993
Pages
1231 - 1239
Database
ISI
SICI code
0195-9131(1993)25:11<1231:EOSBAT>2.0.ZU;2-B
Abstract
To examine the effects of increased skin blood flow (BF(sk)) and skin temperature (T(sk)) on bioelectric impedance (BIA), 30 young males par ticipated as subjects. All subjects underwent the following measuremen ts: 1) BF(sk) and T(sk) for the chest, biceps, thigh, and calf; 2) bod y composition using the BIA prediction equations and underwater weighi ng (UW); and 3) triceps skinfold (SF(tri)) thickness. After the baseli ne studies (M1) the subjects exercised for 30 min at approximately 83% of maximal heart rate. The above measurements were repeated immediate ly after exercise (M2), and at 1-h recovery from exercise (M3). Repeat ed measures ANOVA showed that mean T(sk) and BF(sk), and for the four measured sites were significantly increased from M1 to M2 (P < 0.05) a nd decreased from M2 to M3 (P < 0.05). These changes did not affect BI A measurement for resistance (R) and reactance between M1 and M2 (P > 0.05), and between M2 and M3 (P > 0.05). With regression analysis the following independent variables were identified as strong contributing factors for predicting fat-free mass (FFM): 1) SF(tri) and total body water for M1 and M3; and 2) WT, SF(tri), and T(sk) of the chest for M 2. Two FFM equations have little multicolinearity (M1 and M2), e.g., t hey have low root mean square errors (less-than-or-equal-to 2.6 kg), v ery high values for R2 (greater-than-or-equal-to 0.94), and relatively low values for coefficient of variations (less-than-or-equal-to 5.65% ). Differences (P < 0.05) were observed between the UW method and the Lukaski equation for estimating FFM for M1 and M3, but not for M2. Usi ng the Guo equation for estimating percent body fat (%BF), statistical difference (P < 0.05) was observed for M2 only. We conclude that: 1) exercise-induced changes in BF(sk) and T(sk) do not influence the BIA study; and 2) after exercise the following independent variables were strong predictors for estimating FFM: S2/R, SF(tri), weight, and T(sk) of the chest.