Online Program

Theory-supported cusp catastrophe modeling in analyzing public health data

Monday, November 2, 2015 : 10:30 a.m. - 10:50 a.m.

Xinguang Chen, MD, PhD, Department of Epidemiology, University of Florida, Gainesville, FL
Din Chen, Professor, School of Nursing, University of Rochester, Rochester, NY

Further advancement in public health research required new paradigm and analytical methods beyond the continuous approaches to encompass nonlinear and complex systems. Many healht behaviors behaviors, such dietary, exercise, drug use, risky sex and condom use, cannot be adequately described with commonly used methods. This is becuase the dynamics of these behaviors are both continuous and discrete in nature like the light ray that contains both continuous waves and dicrete particles.  Such characteristics can only be adequately modeled using quantum approaches. Achievements in nonlinear modeling, particularly cusp catastrophe modeling, make it possible to characterize quantum character of health behaviors. Theories related to behavioral dynamics provide foundations supporting cusp catastrophe modeling, including (1) the dual process theory, consisting of System 1 (implicit, intuitive, and automatic) for non-calculated, sudden and discrete change and System 2 (explicit, analytical, and consciousness) for calculated, gradual and continuous change, and (2) the construal-level theory, describing concrete and context-dependent cognitive processes at low construal levels for rapid and discrete changes, and abstract and viewpoint-dependent cognitive processes at high construal levels for gradual and continuous changes. Examples are used to illustrate the use of the cusp catastrophe modeling with the support of these theories. REcommendation of the application of this approach has been made in using this method to analyze public health data

Learning Areas:

Biostatistics, economics
Planning of health education strategies, interventions, and programs
Public health or related research
Social and behavioral sciences
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Discuss cusp catastrophe modeling in analyzing public health data Decribe cognitive theories supporting cusp modeling Compare cusp modeling with other methods in public health research

Keyword(s): Biostatistics, Methodology

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: None.

Qualified on the content I am responsible for because: I am a professor. I spent six years at the University of Southern California, with research focusing on tobacco use and prevention among adolescents, then moved to Wayne State University, where my research for more than ten years focused on the epidemiology of health risk behavior and behavioral prevention intervention for risk reduction.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.