Resnicow Kenneth, Page Scott E
University of Michigan, School of Public Health Department of Health Behavior & Health Education, 109 Observatory Street, Room 3867 SPH I, Ann Arbor, MI 48109-2029, USA.
Am J Public Health. 2008 Aug;98(8):1382-9. doi: 10.2105/AJPH.2007.129460. Epub 2008 Jun 12.
Public health research and practice have been guided by a cognitive, rational paradigm where inputs produce linear, predictable changes in outputs. However, the conceptual and statistical assumptions underlying this paradigm may be flawed. In particular, this perspective does not adequately account for nonlinear and quantum influences on human behavior. We propose that health behavior change is better understood through the lens of chaos theory and complex adaptive systems. Key relevant principles include that behavior change (1) is often a quantum event; (2) can resemble a chaotic process that is sensitive to initial conditions, highly variable, and difficult to predict; and (3) occurs within a complex adaptive system with multiple components, where results are often greater than the sum of their parts.
公共卫生研究与实践一直受认知、理性范式的指导，在这种范式中，投入会在产出上产生线性、可预测的变化。然而，这一范式背后的概念和统计假设可能存在缺陷。特别是，这种观点没有充分考虑到对人类行为的非线性和量子影响。我们认为，通过混沌理论和复杂适应系统的视角能更好地理解健康行为的改变。关键的相关原则包括：行为改变（1）通常是一个量子事件；（2）可能类似于一个对初始条件敏感、高度可变且难以预测的混沌过程；（3）发生在一个具有多个组成部分的复杂适应系统中，其结果往往大于各部分之和。
