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CONCLUSION Obesity is one of the most common diseases in the modern world. As such, it is important to find out what factors both contribute to and reduce the risk of becoming overweight or obese. This study has done so by using actual obesity data in lieu of the self-reported data that has been used in most other obesity studies done in Canada. Using Moran’s I and K-analyses, it was found that there does not appear to be a correlation between parks and obesity rates nearby. However, the results of the Point Density analysis contradict that. More studies must be conducted at a greater resolution to discover how the built environment affects obesity rates and to determine exactly how walkability can effect Obesity rates. Whether it is a correlation that people of normal weight distribution live near parks and move to where there are parks and open access, or if people who are overweight and obese are using these institutions to lose weight. Further research conducted after obtaining all the desired data can serve to reduce the number of limitations encountered during this project. A comparative study analyzing the differences between the results obtained from various cities can be helpful in distinguishing the most significant environmental risk factors involved in the prevalence of Obesity.
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