Hackney Anthony C, Viru Atko
University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
J Athl Train. 2008 Oct-Dec;43(6):631-9. doi: 10.4085/1062-6050-43.6.631.
To provide background information on methodologic factors that influence and add variance to endocrine outcome measurements. Our intent is to aid and improve the quality of exercise science and sports medicine research endeavors of investigators inexperienced in endocrinology.
Numerous methodologic factors influence human endocrine (hormonal) measurements and, consequently, can dramatically compromise the accuracy and validity of exercise and sports medicine research. These factors can be categorized into those that are biologic and those that are procedural-analytic in nature.
Researchers should design their studies to monitor, control, and adjust for the biologic and procedural-analytic factors discussed within this paper. By doing so, they will find less variance in their hormonal outcomes and thereby will increase the validity of their physiologic data. These actions can assist the researcher in the interpretation and understanding of endocrine data and, in turn, make their research more scientifically sound.
提供有关影响内分泌结果测量并增加其变异性的方法学因素的背景信息。我们的目的是帮助并提高内分泌学经验不足的研究人员在运动科学和运动医学研究工作中的质量。
众多方法学因素会影响人体内分泌(激素)测量,因此可能会极大地损害运动和运动医学研究的准确性和有效性。这些因素可分为生物学因素和程序分析因素。
研究人员应设计他们的研究,以监测、控制和调整本文中讨论的生物学和程序分析因素。通过这样做,他们会发现其激素结果中的变异性较小,从而提高其生理数据的有效性。这些措施可以帮助研究人员解释和理解内分泌数据,进而使其研究在科学上更合理。