特定生物电阻抗矢量分析可识别前精英运动员生活方式干预后的体脂减少情况。
Specific Bioelectrical Impedance Vector Analysis Identifies Body Fat Reduction after a Lifestyle Intervention in Former Elite Athletes.
作者信息
Campa Francesco, Matias Catarina Nunes, Nunes Catarina L, Monteiro Cristina P, Francisco Rubén, Jesus Filipe, Marini Elisabetta, Sardinha Luís B, Martins Paulo, Minderico Cláudia, Silva Analiza M
机构信息
Department for Life Quality Studies, Università degli Studi di Bologna, 47921 Rimini, Italy.
Bioperformance & Nutrition Research Unit, Bettery S.A., 2740-262 Lisbon, Portugal.
出版信息
Biology (Basel). 2021 Jun 12;10(6):524. doi: 10.3390/biology10060524.
BACKGROUND
specific bioelectrical impedance vector analysis (BIVA) has been proposed as an alternative bioimpedance method for evaluating body composition. This investigation aimed to verify the ability of specific BIVA in identifying changes in fat mass after a 16-week lifestyle program in former athletes.
METHODS
The 94 participants included in the Champ4life project (clinicaltrials.gov: NCT03031951) were randomized into intervention ( = 49) and control ( = 45) groups, from which 82 athletes completed the intervention (age 43.9 ± 9.2 y; body mass index 31.1 ± 4.6 kg/m). Fat mass was estimated by dual-energy X-ray absorptiometry. Bioelectric resistance, reactance, phase angle, and vector length were assessed by bioelectric impedance spectroscopy, and the BIVA procedure was applied.
RESULTS
A significant ( < 0.05) group x time interaction for fat mass, specific resistance, reactance, and vector length was found. Fat mass and vector length significantly ( < 0.05) decreased in the intervention group, while no change was measured in the control group. Considering the participants as a whole group, changes in vector length were associated with changes in fat mass percentage (r = 0.246; β = 0.33; < 0.001) even after adjusting for age, sex, and group (R = 0.373; β = 0.23; = 0.002).
CONCLUSIONS
The specific BIVA approach is suitable to track fat mass changes during an intervention program aimed to reduce body fat in former athletes.
背景
特定生物电阻抗矢量分析（BIVA）已被提议作为一种评估身体成分的生物阻抗替代方法。本研究旨在验证特定BIVA在前运动员进行16周生活方式干预后识别脂肪量变化的能力。
方法
Champ4life项目（clinicaltrials.gov：NCT03031951）纳入的94名参与者被随机分为干预组（n = 49）和对照组（n = 45），其中82名运动员完成了干预（年龄43.9±9.2岁；体重指数31.1±4.6kg/m²）。通过双能X线吸收法估算脂肪量。通过生物电阻抗光谱法评估生物电阻、电抗、相位角和矢量长度，并应用BIVA程序。
结果
发现脂肪量、比电阻、电抗和矢量长度存在显著的（P < 0.05）组×时间交互作用。干预组的脂肪量和矢量长度显著（P < 0.05）下降，而对照组未测量到变化。将参与者作为一个整体组考虑，即使在调整年龄、性别和组后，矢量长度的变化与脂肪量百分比的变化相关（r = 0.246；β = 0.33；P < 0.001）（R² = 0.373；β = 0.23；P = 0.002）。
结论
特定BIVA方法适用于在旨在减少前运动员体脂的干预计划中追踪脂肪量变化。
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