Knowledge Discovery and Data Mining- Obesity in Plymouth Minnesota

Knowledge Discovery and Data Mining- Obesity in Plymouth Minnesota

Obesity is having a body mass index (BMI) of thirty or more (Schwartz et al., 2017). Obesity is a complex healthcare problem. Individuals with obesity have excess body fat. It is not only a cosmetic issue but also a medical problem that enhances the risk of an individual developing other healthcare conditions such as hypertension, diabetes, and cancers.

Obesity is a healthcare problem in my area of interest, Plymouth, Minnesota (Zip Code: 55447). The statistics from the policy map indicate that the rate of obesity in adults is between 28.4% – 30.7%. The number of individuals who are overweight is between 63-65.6%. The percentage of childhood obesity is 13.3-14.7%. Some of the risk factors for obesity include lack of physical activity, unhealthy diet, and lifestyle (Müller & Geisler, 2017). Plymouth, Minnesota, has between 19-31 fast-food joints. This means that individuals have access to unhealthy fatty foods such as burgers and fries, increasing their risk of becoming overweight and obese. The individuals in Plymouth, Minnesota, have fewer areas to get healthy foods such as vegetables and fruits. The area has five farmers’ markets compared to around 31 fast-food joints. This increases their risk of becoming overweight and obese.

Some strategies can be employed to reduce obesity and overweight. These strategies include physical activity and a healthy diet (Fruh, 2017). One way of reducing obesity in the area of interest is to increase the number of farmers’ markets. This will increase access of these residents to healthy food, which will help reduce obesity. The second strategy will be to build a lot of gyms in these areas. This will allow these individuals to be physically active and lose excess fat.

References

Fruh, S. M. (2017). Obesity: Risk factors, complications, and strategies for sustainable long‐term weight management. Journal of the American Association of Nurse Practitioners, 29(S1), S3-S14. https://doi.org/10.1002/2327-6924.12510

Müller, M. J., & Geisler, C. (2017). Defining obesity as a disease. European Journal of Clinical Nutrition, 71(11), 1256-1258. https://doi.org/10.1038/ejcn.2017.155

Schwartz, M. W., Seeley, R. J., Zeltser, L. M., Drewnowski, A., Ravussin, E., Redman, L. M., & Leibel, R. L. (2017). Obesity pathogenesis: An Endocrine Society scientific statement. Endocrine Reviews, 38(4), 267-296. https://doi.org/10.1210/er.2017-00111

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The use of technology to disseminate information keeps growing. Technology can also help deliver care to remote clients and monitor factors affecting health in the community. Utilize this policy map tool https://rasmussen-policymap-com.ezproxy.rasmussen.edu/maps and find a neighborhood of interest.

Knowledge Discovery and Data Mining- Obesity in Plymouth, Minnesota

My neighborhood of interest is zip code 55447. Focus on a problem, like obesity, and study the area for possible reasons for the problem and offer possible solutions.