One-Year Changes in Bioelectrical Impedance Data in Adolescent Athletes

被引:0
|
作者
de Oliveira Cattem, Marcus Vinicius [1 ]
Orsso, Camila E. [2 ]
Gonzalez, Maria Cristina [3 ]
Koury, Josely Correa [1 ]
机构
[1] Univ Estado Rio De Janeiro, Nutr Inst, BR-20550013 Rio De Janeiro, Brazil
[2] Univ Alberta, Dept Agr Food & Nutr Sci, Human Nutr Res Unit, Edmonton, AB T6G 2P5, Canada
[3] Univ Fed Pelotas, Postgrad Program Nutr & Foods, Pelotas, Brazil
关键词
bioelectrical impedance analysis; adolescents; athletes; FAT-FREE MASS; BODY-COMPOSITION ASSESSMENT; VECTOR ANALYSIS BIVA; PHASE-ANGLE; POSITION STATEMENT; PHYSICAL-FITNESS; CHILDREN; GROWTH; MATURATION; PREDICTION;
D O I
10.3390/nu16050701
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Raw bioelectrical impedance (BI) data and vector analysis (BIVA) have been used to evaluate fat-free mass (FFM) cross-sectionally in adolescent athletes; however, there have been no longitudinal studies about it. This study aimed to assess the magnitude of changes in raw BI data (resistance [R], reactance [Xc], and phase angle [PhA]), BIVA, and FFM in adolescent athletes (n = 137, 40% female). BI data were collected using a single-frequency device at baseline and after one year of sports practice. Baseline chronological age categorized the participants (11, 12, or 13 years [y]). In females, Xc/H increased (13 to 14 y, p = 0.04) while R/H decreased in all age groups (p = 0.001). PhA (11 to 12 y, p = 0.048) and FFM (11 to 12 y and 12 to 13 y groups p = 0.001) increased and showed the lowest magnitude of changes in the 13 to 14 y group (p = 0.05). In males, Xc/H decreased (11 to 12 and 12 to 13 y groups, p = 0.001) with a higher magnitude of changes in the 13 to 14 y group (p = 0.004); R/H decreased (p = 0.001); FFM increased in all groups (p = 0.001); however, no magnitude of changes was observed. PhA increased in the 13 to 14 y group (p = 0.004). BIVA showed no differences among ellipse distances in females. In males, a high distance was observed in the 11 to 12 y group. "Time interval" influenced PhA and Xc/H in the female group and R/H and Xc/H in the male group. "Initial age" and "time interval" influenced the increase in PhA in the male group. Raw BI data and BIVA patterns can detect the magnitude of the changes in a sex-dependent manner.
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页数:11
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