Climate Predicts Obesity Rates

LisaAnn S Gittner; Barbara Kilbourne; Katy Kilbourne; Youngwon Chun

doi:10.4172/2165-7904.1000i001

ISSN: 2165-7904

Journal of Obesity & Weight Loss Therapy

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Climate Predicts Obesity Rates

*LisaAnn S Gittner^1, Barbara Kilbourne², Katy Kilbourne³and Youngwon Chun⁴**
¹Department of Political Science, Texas Tech University, USA
²Department of Sociology, Tennessee State University, USA
³Department of Family Medicine, Meharry Medical College, USA
⁴School of Economic, Political and Policy Sciences, University of Texas at Dallas, USA
Corresponding Author :	LisaAnn S Gittner Department of Political Science Texas Tech University, Lubbock TX 79409, USA Tel: (440) 915-8831 Fax: (806)742-0850 E-mail: lisa.gittner@ttu.edu
Received June 28, 2015; Accepted June 29, 2015; Published June 30, 2015
Citation: Gittner LS , Kilbourne B, Kilbourne K and Chun Y(2015) Climate Predicts Obesity Rates . J Obes Weight Loss Ther 5:i001. doi:10.4172/2165-7904.1000i001
Copyright: ©2015 Gittner LS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Maximum Entropy modeling predicted the distribution of obesity from only climate factors (heat index, minimum & maximum daily temperature, precipitation, land surface temperature and insolation) in 2009. The orange and yellow represent the presence of high obesity rates in individual counties. Climate factors in these counties were used to predict the obesity distribution. As the color on the map changes from blue to green and yellow, higher rates of obesity are predicted; the highest rates of obesity predicted are the intense yellows. The predicted obesity rates match the actual rates determined by the Centers for Disease Control.