مائده رستان

Problems and issues related to obesity are not only limited to medical and physical conditions; Rather, obesity has a great impact on the functional capacity and quality of life related to people's health. The excessive preva‎lence of obesity in the world has led to suggestions and strategies to prevent overweight and diseases caused by it. There are many ways to reduce fat and also reduce body weight, which are mentioned in this thesis. Using the K-means method and regression analysis, body composition data is interpreted and body fat percentage is predicted using statistical analysis. By using the body composition data of the person, the variables affecting the body fat percentage are identified. Finally, using the clustering method, they are divided into different categories according to body fat percentage and body composition. The method of measuring body organs and underwater weighing has been used to reduce body fat and prevent unhealthy weight gain. The advantages of this method include availability and ease of use. The results of this thesis show that the method of measuring body circumference is not as accurate as other methods and does not provide information about body fat versus fat-free mass. However, it is still used in the country. These results can be used as a guide to design appropriate nutrition and exercise programs to reduce body fat, especially abdominal fat in the community and improve health.

شيوع چاقي، درصد چربي بدن، تركيب بدني، رگرسيون، تحليل آماري

obesity preva‎lence, body fat percentage, body composition, regression, statistical analysis.

Maedeh Rastan

Rahman Farnoosh