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Mapping multiple drivers of human obesity

Published online by Cambridge University Press:  11 May 2017

R. Alexander Bentley  and
Michael J. O'Brien
R. Alexander Bentley
Affiliation:
Department of Comparative Cultural Studies, University of Houston, Houston, TX 77204. [email protected] Hobby School of Public Affairs, University of Houston, Houston, TX 77204.
Michael J. O'Brien
Affiliation:
Department of Humanities and Social Sciences, Texas A&M University–San Antonio, San Antonio, TX 78224. [email protected] Department of Anthropology, University of Missouri, Columbia, MO 65211.
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Abstract

The insurance hypothesis is a reasonable explanation for the current obesity epidemic. One alternative explanation is that the marketing of high-sugar foods, especially sugar-sweetened beverages, drives the rise in obesity. Another prominent hypothesis is that obesity spreads through social influence. We offer a framework for estimating the extent to which these different models explain the rise in obesity.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e107
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Copyright
Copyright © Cambridge University Press 2017 

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References

Basu, S., Yoffe, P., Hills, N. & Lustig, R. H. (2013) The relationship of sugar to population-level diabetes prevalence: An econometric analysis of repeated cross-sectional data. PLoS ONE 8(2):e57873.Google Scholar
Bentley, R. A. & O'Brien, M. J. (2016) Collective behaviour, uncertainty and environmental change. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373:20140461.Google Scholar
Bentley, R. A., O'Brien, M. J. & Brock, W. A. (2014) Mapping collective behavior in the big-data era. Behavioral and Brain Sciences 37:63–119.Google Scholar
Brock, W. A., Bentley, R. A., O'Brien, M. J. & Caiado, C. C. S. (2014) Estimating a path through a map of decision making. PLoS ONE 9(11):e111022.Google Scholar
Caiado, C. C. S., Brock, W. A., Bentley, R. A. & O'Brien, M. J. (2016) Fitness landscapes among many options under social influence. Journal of Theoretical Biology 405:5–16.Google Scholar
Christakis, N. A. & Fowler, J. H. (2007) The spread of obesity in a large social network over 32 years. New England Journal of Medicine 357:370–79.Google Scholar
Christakis, N. A. & Fowler, J. H. (2013) Social contagion theory: Examining dynamic social networks and human behavior. Statistics in Medicine 32:556–77.Google Scholar
DellaVigna, S. & Malmendier, U. (2006) Paying not to go to the gym. American Economic Review 96:694–719.Google Scholar
Guiteras, R., Levinsohn, J. & Mobarak, A. M. (2015) Encouraging sanitation investment in the developing world: A cluster-randomized trial. Science 348:903–906.Google Scholar
Hernandez, D. C. & Pressler, E. (2014) Accumulation of childhood poverty on young adult overweight or obese status: Race/ethnicity and gender disparities. Journal of Epidemiology and Community Health 68:478–84.Google Scholar
Johnson, R. J., Segal, M. S., Sautin, Y., Nakagawa, T., Feig, D. I., Kang, D. H., Gersch, M. S., Benner, S. & Sánchez-Lozada, L. G. (2007) Potential role of sugar (fructose) in the epidemic of hypertension, obesity and the metabolic syndrome, diabetes, kidney disease, and cardiovascular disease. American Journal of Clinical Nutrition 86:899–906.Google Scholar
Kearns, C. E., Schmidt, L. A. & Glantz, S. A. (2016) Sugar industry and coronary heart disease research: A historical analysis of internal industry documents. JAMA Internal Medicine 176(11):1680–85. doi: 10.1001/jamainternmed.2016.5394.Google Scholar
Nestle, M. (2016) Food industry funding of nutrition research: The relevance of history for current debates. JAMA Internal Medicine 176(11):1685–86. doi: 10.1001/jamainternmed.2016.5400.Google Scholar
Ogden, C. L., Carroll, M. D., Kit, B. K. & Flegal, K. M. (2014) Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 311(8):806–14. doi: 10.1001/jama.2014.732.Google Scholar
Schroeder, S. A. (2007) We can do better – Improving the health of the American people. New England Journal of Medicine 357:1221–28.Google Scholar
Shalizi, C. R. & Thomas, A. C. (2010) Homophily and contagion are genetically confounded in observational social network studies. Sociological Methods and Research 40:211–39.Google Scholar
Shrewsbury, V. & Wardle, J. (2012) Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990–2005. Obesity 16:275–84.Google Scholar