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| LisaAnn S Gittner1*, Barbara Kilbourne2, Katy Kilbourne3 and 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. | |
Visit for more related articles at Journal of Obesity & Weight Loss Therapy
| Medical Image |
| 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. |
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