Prommer Nicole, Sottas Pierre-Edouard, Schoch Christian, Schumacher Yorck Olaf, Schmidt Walter
Department of Sports Medicine and Sports Physiology, University of Bayreuth, Bayreuth, Germany.
Med Sci Sports Exerc. 2008 Dec;40(12):2112-8. doi: 10.1249/MSS.0b013e3181820942.
All kinds of blood manipulations aim to increase the total hemoglobin mass (tHb-mass). To establish tHb-mass as an effective screening parameter for detecting blood doping, the knowledge of its normal variation over time is necessary. The aim of the present study, therefore, was to determine the intraindividual variance of tHb-mass in elite athletes during a training year emphasizing off, training, and race seasons at sea level.
tHb-mass and hemoglobin concentration ([Hb]) were determined in 24 endurance athletes five times during a year and were compared with a control group (n = 6). An analysis of covariance was used to test the effects of training phases, age, gender, competition level, body mass, and training volume. Three error models, based on 1) a total percentage error of measurement, 2) the combination of a typical percentage error (TE) of analytical origin with an absolute SD of biological origin, and 3) between-subject and within-subject variance components as obtained by an analysis of variance, were tested.
In addition to the expected influence of performance status, the main results were that the effects of training volume (P = 0.20) and training phases (P = 0.81) on tHb-mass were not significant. We found that within-subject variations mainly have an analytical origin (TE approximately 1.4%) and a very small SD (7.5 g) of biological origin.
tHb-mass shows very low individual oscillations during a training year (<6%), and these oscillations are below the expected changes in tHb-mass due to Herythropoetin (EPO) application or blood infusion (approximately 10%). The high stability of tHb-mass over a period of 1 year suggests that it should be included in an athlete's biological passport and analyzed by recently developed probabilistic inference techniques that define subject-based reference ranges.
各类血液操作旨在增加总血红蛋白量(tHb量)。为了将tHb量确立为检测血液兴奋剂的有效筛查参数,有必要了解其随时间的正常变化情况。因此,本研究的目的是确定精英运动员在海平面进行强调休赛期、训练期和比赛期的训练年度内tHb量的个体内差异。
在一年中对24名耐力运动员的tHb量和血红蛋白浓度([Hb])进行了5次测定,并与一个对照组(n = 6)进行比较。采用协方差分析来检验训练阶段、年龄、性别、比赛水平、体重和训练量的影响。测试了三种误差模型,分别基于1)测量的总百分比误差,2)分析来源的典型百分比误差(TE)与生物学来源的绝对标准差的组合,以及3)通过方差分析获得的受试者间和受试者内方差分量。
除了预期的运动表现状态影响外,主要结果是训练量(P = 0.20)和训练阶段(P = 0.81)对tHb量的影响不显著。我们发现受试者内变化主要源于分析误差(TE约为1.4%)以及生物学来源的非常小的标准差(7.5 g)。
tHb量在训练年度内显示出非常低的个体波动(<6%),并且这些波动低于因使用促红细胞生成素(EPO)或输血导致的tHb量预期变化(约10%)。tHb量在1年期间的高度稳定性表明,它应被纳入运动员生物护照,并通过最近开发的定义基于个体的参考范围的概率推断技术进行分析。