Analysis of obesity rates on calorie consumption of some foods in 40 Asian countries

Enny Supartini, Puspa Faydian Rahmah, Firya Fatin Rahmadanti, Mila Antikasari, Resa Septiani Pontoh

Abstract


Differences in culture, habits, and environment in different countries cause calorie intake consumed in other countries based on different types of food. This triggers an increase in obesity and malnutrition rates in different countries. The method used is a multivariate regression analysis with a sample of 40 countries located on the Asian continent and eleven independent variables. Obtained the form of a regression model to determine the level of obesity in a country. With a significance level of 5%, all assumptions of the multivariate regression model are fulfilled. Based on the results above, it can be concluded that the regression model is suitable model. Furthermore, the k-means analysis was carried out with the optimal number of k formed by the silhouette method as 4 clusters. Cluster 1 consists of 15 countries, cluster 2 consists of 10 countries, cluster 3 consists of 11 countries, and cluster 4 consists of 4 countries. It can be concluded that each country is expected to pay attention to calorie intake and the type of food consumed to decrease obesity rates in various countries.

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Published: 2022-07-08

How to Cite this Article:

Enny Supartini, Puspa Faydian Rahmah, Firya Fatin Rahmadanti, Mila Antikasari, Resa Septiani Pontoh, Analysis of obesity rates on calorie consumption of some foods in 40 Asian countries, Commun. Math. Biol. Neurosci., 2022 (2022), Article ID 63

Copyright © 2022 Enny Supartini, Puspa Faydian Rahmah, Firya Fatin Rahmadanti, Mila Antikasari, Resa Septiani Pontoh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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