O'Connor Mary-Frances, Bower Julie E, Cho Hyong Jin, Creswell J David, Dimitrov Stoyan, Hamby Mary E, Hoyt Michael A, Martin Jennifer L, Robles Theodore F, Sloan Erica K, Thomas Kamala S, Irwin Michael R
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Cousins Center for Psychoneuroimmunology, Cousins Center for Psychoneuroimmunology, Los Angeles, CA 90095, USA.
Brain Behav Immun. 2009 Oct;23(7):887-97. doi: 10.1016/j.bbi.2009.04.005. Epub 2009 Apr 21.
Behavioral scientists have increasingly included inflammatory biology as mechanisms in their investigation of psychosocial dynamics on the pathobiology of disease. However, a lack of standardization of inclusion and exclusion criteria and assessment of relevant control variables impacts the interpretation of these studies. The present paper reviews and discusses human biobehavioral factors that can affect the measurement of circulating markers of inflammation. Keywords relevant to inflammatory biology and biobehavioral factors were searched through PubMed. Age, sex, and hormonal status, socioeconomic status, ethnicity and race, body mass index, exercise, diet, caffeine, smoking, alcohol, sleep disruption, antidepressants, aspirin, and medications for cardiovascular disease are all reviewed. A tiered set of recommendations as to whether each variable should be assessed, controlled for, or used as an exclusion criteria is provided. These recommendations provide a framework for observational and intervention studies investigating linkages between psychosocial and behavioral factors and inflammation.
行为科学家越来越多地将炎症生物学作为他们研究疾病病理生物学中社会心理动态机制的一部分。然而,纳入和排除标准缺乏标准化以及相关控制变量的评估影响了这些研究的解释。本文回顾并讨论了可能影响炎症循环标志物测量的人类生物行为因素。通过PubMed搜索了与炎症生物学和生物行为因素相关的关键词。对年龄、性别、激素状态、社会经济地位、种族和民族、体重指数、运动、饮食、咖啡因、吸烟、饮酒、睡眠中断、抗抑郁药、阿司匹林以及心血管疾病药物等都进行了综述。针对每个变量是否应进行评估、控制或用作排除标准提供了一系列分层建议。这些建议为研究社会心理和行为因素与炎症之间联系的观察性和干预性研究提供了一个框架。