Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive and Kidney Diseases, Bld 10-CRC, Rm 6-5940, MSC 1612, 9000 Rockville Pike, Bethesda, MD, 20892-1612, USA.
National Institute of Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.
J Racial Ethn Health Disparities. 2017 Jun;4(3):455-461. doi: 10.1007/s40615-016-0246-8. Epub 2016 Jun 28.
After decades of resistance, there is now a genuine consensus that disease cannot be prevented or even successfully treated unless the role of stress is addressed alongside traditionally recognized factors such as genes and the environment. Measurement of allostatic load, which is quantified by the allostatic load score (ALS), is one of the most frequently used methods to assess the physiologic response to stress. Even though there is universal agreement that in the calculation of ALS, biomarkers from three categories should be included (cardiovascular, metabolic and immune), enormous variation exists in how ALS is calculated. Specifically, there is no consensus on which biomarkers to include or the method which should be used to determine whether the value of a biomarker represents high risk. In this perspective, we outline the approach taken in 21 different NHANES studies.
经过几十年的抵制,现在人们真正达成了共识,即如果不解决压力的作用,疾病不仅无法预防,甚至无法成功治疗,而压力是与传统上公认的因素(如基因和环境)并列的因素。压力的生理反应是通过测量全身适应综合征负荷(allostatic load,ALS)来评估的,它是最常用的方法之一。尽管人们普遍认为在计算 ALS 时,应该包括三类生物标志物(心血管、代谢和免疫),但 ALS 的计算方法存在巨大差异。具体来说,对于应该包括哪些生物标志物以及应该使用哪种方法来确定生物标志物的值是否代表高风险,尚无共识。在这个观点中,我们概述了在 21 项不同的 NHANES 研究中所采用的方法。