28
• Goodson Chapter 7 • Resnicow & Page, 2008 • Krieger, 1994

Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Embed Size (px)

Citation preview

Page 1: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

• Goodson Chapter 7• Resnicow & Page, 2008• Krieger, 1994

Page 2: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Pattern 3: Deliberate Privileging of Linearity: The Whole or the Sum of the Parts?

Goodson, P. (2010). Theory in Health Promotion Research and Practice. Mississauga, Ontario: Jones and Bartlett Publishers.

Page 3: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Limitations of Linear Theories

• Focus on the individual• Focus on cognitive factors• “the whole is equal to the sum of its parts”

“this orderly, linear framework remains the mainstream foundation of the human and social sciences to this day.” (Cooper & Geyer, 2008)

Page 4: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Complexity Theories

• Offer a non-linear way to explain unpredictability, complexity, and dynamic aspects of behavior

• “Complex Adaptive Systems (CASs) consist of a set of interacting elements that are able to change and adapt in multiple ways (Zimmerman, Lindberg, & Plsek, 1998).”

Page 5: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Complexity Theories

1. Whole is more than the sum of its parts

2. CASs comprise other CASs

3. Agents within CASs evolve

4. Sustainability depends on diversity

5. Decentralized, or “distributed” control

6. Size of output does not necessarily correspond to size of input

7. Dependence on original conditions (“Butterfly Effect”)

8. CASs drawn to attractors9. Unpredictable behavior10. Order to the chaos

Page 6: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

What are Attractors?

Page 7: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Examples

• School district• Puzzle• Others?

Challenges in practice:Allowing a system to self-organize?Recognizing how behavior itself influences the

system?

Page 8: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Goodson Chapter 7

• Empirical evidence• Statistical implications• Cautions

Page 9: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Embracing Chaos and Complexity: A Quantum Change for Public Health

Resnicow, K. and Page, S.E. (2008). American Journal of Public Health, Vol 98, No. 8, pp. 1382-1389.

Page 10: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Resnicow & Page, 2008

• Propose that the linear paradigm is flawed• Key Principles:–Quantum behavior change–Chaotic process, sensitive to initial

conditions–Occurs within CASs

Page 11: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Quantum Change

• Wave/particle• Dramatic experience OR• Sudden insight (Miller)• Can occur with little input

Page 12: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Initial Conditions

• Butterfly Effect• Infinite permutations• Fractal patterns• Identification of fractals suggests

intervention points

Page 13: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Change as a CAS

• “particle components of a motivational quantum” = different starting points• Multiple pathways• “lever points” or “tipping points”

Page 14: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Implications for Public Health

• Identification of leverage points• Consideration of timing and initial

conditions• View behavior as probabilistic

• Encourage “wing flapping”?

Page 15: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Resnicow & Page, 2008

• Empirical evidence• Statistical implications

Page 16: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Unify Linear and Complex?

Page 17: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Resnicow & Page, 2008

• Practical implications–Repeated exposures–Understand individual “receptivity”

(sounds familiar)–Lower upper limit on variance

explained

Page 18: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Resnicow & Page, 2008

• Potential areas of research–Qualitative methods–Quantitative methods–Physiological mechanism studies–Agent-based and computational

modeling

Page 19: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994
Page 20: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994
Page 21: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Epidemiology and the web of causation: Has anyone seen the spider?

Krieger, N. (1994). Soc. Sci. Med. Vol. 39, No. 7, pp. 887-903

Page 22: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Epidemiologic Theory

• Web of Causation and multivariate analyses• “paucity of critical reflection”• Insufficient preparation of new

epidemiologists

Page 23: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Web of Causation MacMahon, Pugh, Ibsen (1960) as a challenge to “chain of causation”

Page 24: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Web of Causation

• Increased understanding of interaction and confounding

• Rothman

Page 25: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Problems with Web

• Omitted discussion of origins • Lacks discussion of theory for the model• Focus on proximal factors• Does not distinguish between individuals and

populations• “biomedical individualism”

Page 26: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Modern Contributions

• “environment” ill-defined (Vanderbroucke)• Resurgence of single agent theory• McKeown’s etiologic groups• Social determinants• Conclusion: Epi still lacking an ecosocial theory

Page 27: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994
Page 28: Goodson Chapter 7 Resnicow & Page, 2008 Krieger, 1994

Ecosocial Framework

• How to use epidemiological data• Greater precision in etiology• Better definitions of “lifestyle”• Challenge to current definition of

“environment”• Challenge to rigid distinctions of individual and

group level analyses