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Theories and Simulations of Complex Social Systems pp 145–160Cite as

Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 52))

Abstract

A novel framework for modelling trends in obesity is presented. The framework, integrating both Fuzzy Cognitive Maps (FCMs) and social networks, is applied to the problem of obesity prevention using knowledge shared through social connections. The capability of FCMs to handle a large number of relevant factors is used here to preserve domain expertise in the model. Model details and design decisions are presented along with results that suggest that the type of social network structure impacts the effectiveness of knowledge transfer.

Research funded by the Canadian Institutes of Health Research (MT-10574). We thank the MoCSSy Program for providing facilities.

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References

  1. Public Health Agency of Canada and the Canadian Institute for Health Information: Obesity in Canada (2011)

    Google Scholar 

  2. Ogden, C., Carroll, M.: Prevalence of overweight, obesity, and extreme obesity among adults: United-states, trends 1960–1962 through 2007–2008. National Center for Health, Statistics (June 2010)

    Google Scholar 

  3. Levi, J., Vinter, S., Richardson, L., Laurent, R.S., Segal, L.: F as in fat: how obesity policies are failing in america. Trust for America’s health. Robert Wood Johnson Foundation (July 2008)

    Google Scholar 

  4. Finegood, D.: The complex systems science of obesity. In: The oxford handbook of the social science of, obesity, pp. 208–236 (2011)

    Google Scholar 

  5. Kumanyika, S., Parker, L., Sim, L., (eds.): Defining the problem: the importance of taking a systems perspective. In: Bridging the evidence gap in obesity prevention: a framework to inform decision making. The national academies press (2010)

    Google Scholar 

  6. Kolata, G.: Find yourself packing it on? blame friends. The New York Times (July 2007)

    Google Scholar 

  7. Thompson, C.: Are your friends making you fat? The New York Times (September 2009)

    Google Scholar 

  8. Christakis, N.A., Fowler, J.H.: The spread of obesity in a large social network over 32 years. N. Engl. J. Med. 357(4), 370–379 (July 2007)

    Article  Google Scholar 

  9. Hammond, R.A.: Social influence and obesity. Curr. Opin. Endocrinol. Diabetes Obes. 17, 467–471 (2010)

    Article  Google Scholar 

  10. Smith, K., Christakis, N.: Social networks and health. Ann. Rev. Soc. 34, 405–429 (2008)

    Article  Google Scholar 

  11. Rush, W., Biltz, G., Pantelidis, L., Kim, L., Ogata, C., Muneichi, S.: An exploration of the influence of health related risk factors using cellular automata. Tech. rep (New England Complex Systems Institute) (2003)

    Google Scholar 

  12. Bahr, D., Browning, R., Wyatt, H., Hill, J.: Exploiting social networks to mitigate the obesity epidemic. Obesity 17(4), 723–728 (2009)

    Article  Google Scholar 

  13. Giabbanelli, P.J., Alimadad, A., Dabbaghian, V., Finegood, D.T.: Modeling the influence of social networks and environment on energy balance and obesity. Obes. Rev. 11(Suppl. 1), 65 (2010)

    Google Scholar 

  14. Giabbanelli, P.J., Alimadad, A., Dabbaghian, V., Finegood, D.T.: Modeling the influence of social networks and environment on energy balance and obesity. J. Comput. Sci. 3, 17–27 (2012)

    Article  Google Scholar 

  15. Ruths, D.: Social network modeling of lifestyle behaviors and obesity. In: 2nd National Obesity Summit (2011)

    Google Scholar 

  16. Karanfil, O., Moore, T., Finley, P., Brown, T., Zagonel, A., Glass, R.: A multi-scale paradigm to design policy options for obesity prevention: exploring the integration of individual-based modeling and system dynamics. In: Proceedings of the 29th International Conference of the System Dynamics Society (June 2011)

    Google Scholar 

  17. Hill, A.: Social and psychological factors in obesity. In: Obesity: Science to Practice, pp. 347–366. Wiley-Blackwell (2009)

    Google Scholar 

  18. Giabbanelli, P.J., Tornsney-Weir, T., Mago., V.K.: A fuzzy cognitive map of the psychosocial determinants of obesity. Appl. Soft Syst. 12(12):3711–3724 (2012)

    Google Scholar 

  19. Giabbanelli, P.J.: A novel framework for complex networks and chronic diseases. In: Proceedings of the third workshop on complex networks (2012)

    Google Scholar 

  20. Pratt, S.F., Giabbanelli, P.J., Jackson, P., Mago, V.K.: Rebel with many causes: a computational model of insurgency. In: Proceedings of the IEEE International Conference on Intelligence and Security Informatics (2012)

    Google Scholar 

  21. Giles, B., Findlay, C., Haas, G., LaFrance, B., Laughing, W., Pembleton, S.: Integrating conventional science and aboriginal perspectives on diabetes using fuzzy cognitive maps. Soc Sci Med 64(3), 562–576 (2007)

    Article  Google Scholar 

  22. Mago, V., Morden, H., Fritz, C., Wu, T., Namazi, S., Geranmayeh, P., Chattopadhyay, R., Dabbaghian, V.: Analyzing the impact of social factors on homelessness: A fuzzy cognitive map approach. BMC Med. Inform. Decis. Mak. (2013)

    Google Scholar 

  23. Tsadiras, A.K., Kouskouvelis, I., Margaritis, K.G.: Using fuzzy cognitive maps as a decision support system for political decisions. Lecture Notes in Computer Science 2563, 291–301 (2003)

    Article  Google Scholar 

  24. Neocleous, C.C., Schizas, C.N.: Application of fuzzy cognitive maps to the political-economic problem of cyprus. In: Proceedings of the International Conference on Fuzzy Sets and Soft Computing in Economics and, Finance, pp. 340–349 (2004)

    Google Scholar 

  25. Glykas, M., (ed.): Fuzzy cognitive maps: advances in theory, methodologies, tools and applications. Studies in fuzziness and soft Computing. Springer (2010)

    Google Scholar 

  26. Li, Z.: Introduction. In: Fuzzy chaotic systems, pp. 1–11. Springer (2006)

    Google Scholar 

  27. Edmonds, B., Moss, S.: From kiss to kids—an ’anti-simplistic’ modelling approach. Lecture Notes in Computer Science 3415, 130–144 (2005)

    Article  Google Scholar 

  28. Edmonds, B.: Simplicity is not truth-indicative, pp. 02–99. CPM, Report (2002)

    Google Scholar 

  29. Vandenbroeck, I., Goossens, J., Clemens, M.: Foresight tackling obesities: future choices-building the obesity system map. Government Office for Science, UK Governments Foresight Programme (2007)

    Google Scholar 

  30. Giabbanelli, P.J., Torsney-Weir, T., Finegood, D.T.: Building a system dynamics model of individual energy balance related behaviour. Can. J. Diab. 35(2), 201 (2011)

    Article  Google Scholar 

  31. Finegood, D.T., Merth, T.D., Rutter, H.: Implications of the foresight obesity system map for solutions to childhood obesity. Obesity 18, S13–S16 (2010)

    Article  Google Scholar 

  32. Klohe-Lehman, D.M., Freeland-Graves, J., Anderson, E.R., McDowell, T., Clarke, K.K., Hanss-Nuss, H., Cai, G., Puri, D., Milani, T.J.: Nutritionknowledge is associated with greater weight loss in obese and overweight low-income mothers. J. Am. Diet. Assoc. 106(1), 65–65 (2006)

    Article  Google Scholar 

  33. Wardle, J., Parmenter, K., Waller, J.: Nutrition knowledge and food intake. Appetite 34, 269–275 (2000)

    Article  Google Scholar 

  34. McGinn, A.P., Evenson, K.R., Herring, A.H., Huston, S.L., Rodriguez, D.A.: Exploring associations between physical activity and perceived and objective measures of the built environment. J. Pub. Health 84(2), 162–184 (2007)

    Google Scholar 

  35. Schutzer, K.A., Graves, B.S.: Barriers and motivations to exercise in older adults. Preven. Med. 39(5), 1056–1061 (2004)

    Article  Google Scholar 

  36. Statistics Canada: annual demographic estimates: Canada, provinces and territories. Catalogue (91–215-X) (2010)

    Google Scholar 

  37. Booth, F., Chakravarthy, M.: Cost and consequences of sedentary living: New battleground for an old enemy. Presidents Council on Physical Fitness and Sports Research Digest 3(16) (2002).

    Google Scholar 

  38. Food and agriculture organization: human energy requirements. Report, joint FAO/WHO/UNU expert consultation (2004)

    Google Scholar 

  39. Bouchard, C.: The magnitude of the energy imbalance in obesity is generally underestimated. Int. J. Obes. 32, 879–880 (2008)

    Article  Google Scholar 

  40. Swinburn, B.A., Sacks, G., Lo, S.K., Westerterp, K.R., Rush, E.C., Rosenbaum, M., Luke, A., Schoeller, D.A., DeLany, J.P., Butte, N.F., Ravussin, E.: Estimating the changes in energy flux that characterize the rise in obesity prevalence. Am J Clin. Nutr. 89, 1723–1728 (2009)

    Article  Google Scholar 

  41. Stephens, T., Dulberg, C., Joubert, N.: La sante mentale de la population canadienne: une analyse exhaustive. Maladies chroniques au Canada 20(3), 131–140 (1999)

    Google Scholar 

  42. Beck, C.A., Patten, S.B., Williams, J.V., Wang, J.L., Currie, S.R., Maxwell, C.J., El-Guebaly, N.: Antidepressant utilization in canada. Soc Psychiatry Psychiatr Epidemiol 40, 799–807 (2005)

    Article  Google Scholar 

  43. Statistics Canada: Health indicator profile, two year period estimates, by age group and sex, canada, provinces, territories, health regions, (2011 boundaries) and peer groups. CANSIM Table 105–0502, (2011)

    Google Scholar 

  44. MacLellan, D.L., Taylor, J.P., Til, L.V., Sweet, L.: Measured weights in pei adults reveal higher than expected obesity rates. Revue canadienne de sante publique 95(3), 174–178 (2004)

    Google Scholar 

  45. Axelrod, R.: The dissemination of culture: a model with local convergence and global polarization. J. Conflict Resolut. 41(2), 203–226 (1997)

    Article  Google Scholar 

  46. Giabbanelli, P.J., Peters, J.G.: Complex networks and epidemics. Technique et Science Informatiques 30, 181–212 (2011)

    Article  Google Scholar 

  47. Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45(2), 167–256 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  48. Li, L., Alderson, D., Tanaka, R., Doyle, J.C., Willinger, W.: Towards a theory of scale-free graphs: Definition, properties, and implications (extended version) (Oct 2005)

    Google Scholar 

  49. Erdos, P., Renyi, A.: On random graphs i. Publicationes Mathematicae 6, 290–297 (1959)

    MathSciNet  Google Scholar 

  50. Comellas, F., Miralles, A.: Modeling complex networks with self-similar outerplanar unclustered graphs. Physica A: Stat. Mech. Appl. 388, 2227–2233 (2009)

    Article  MathSciNet  Google Scholar 

  51. Giabbanelli, P.: The small-world property in networks growing by active edges. Adv. Complex Syst. 14(6), 853–869 (2011)

    Article  MathSciNet  Google Scholar 

  52. Giabbanelli, P.J.: Self-improving immunization policies for complex networks. Masters thesis, Simon Fraser University (2009)

    Google Scholar 

  53. Barriere, L., Comellas, F., Dalfo, C.: Deterministic hierarchical networks. Preprint Universitat Politecnica de Catalunya (2006)

    Google Scholar 

  54. Boero, R., Squazzoni, F.: Does empirical embeddedness matter? methodological issues on agent-based models for analytical social science. J. Artif. Soc. Soc. Simul. 8(4) (2005)

    Google Scholar 

  55. Schnettler, S.: A structured overview of 50 years of small-world research. Soc. Netw. 21, 165–178 (2009)

    Article  Google Scholar 

  56. McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Annu Rev Sociol 27, 415–444 (2001)

    Article  Google Scholar 

  57. Sheeran, P.: Intention-behavior relations: a conceptual and empirical review. Eur Rev. Soc. Psychol. 12(1), 1–36 (2002)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. MoCSSy Program, Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) Centre, Simon Fraser University, Burnaby, Canada

    Philippe J. Giabbanelli & Piper J. Jackson

  2. Department of Kinesiology and Biomedical Physiology, Simon Fraser University, Burnaby, Canada

    Philippe J. Giabbanelli & Diane T. Finegood

  3. School of Computing Science, Simon Fraser University, Burnaby, Canada

    Piper J. Jackson

Authors
  1. Philippe J. Giabbanelli
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  2. Piper J. Jackson
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  3. Diane T. Finegood
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Corresponding author

Correspondence to Philippe J. Giabbanelli .

Editor information

Editors and Affiliations

  1. The IRMACS Centre, The MoCSSy Program, Simon Fraser University, Burnaby, Canada

    Vahid Dabbaghian

  2. Department of Computer Science, Troy University, Troy, Alabama, USA

    Vijay Kumar Mago

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Giabbanelli, P.J., Jackson, P.J., Finegood, D.T. (2014). Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults. In: Dabbaghian, V., Mago, V. (eds) Theories and Simulations of Complex Social Systems. Intelligent Systems Reference Library, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39149-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-39149-1_10

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