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

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


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