Faculty of Informatics and Computing, Universiti of Sultan Zainal Abidin, Terengganu, Malaysia.
School of Engineering and Natural Sciences, Istanbul Medipol University, Istanbul, Turkey.
Nutr Health. 2024 Sep;30(3):489-497. doi: 10.1177/02601060221125146. Epub 2022 Sep 13.
Political globalization is a crucial and distinct component of strengthening global organizations. Obesity is a global epidemic in a few nations, and it is on the verge of becoming a pandemic that would bring plenty of diseases. This research aims to see how the political globalization index affects worldwide human obesity concerning global human development levels. To assess any cross-sectional dependence among observed 109 nations, the yearly period from 1990 to 2017 is analyzed using second generation panel data methods. KAO panel cointegration test and Fully Modified Least Square model were used to meet our objectives. Low level of political globalization tends to increase global human obesity because countries cannot sway international decisions and resources towards them. While the high level of political globalization tends to reduce obesity because it can control and amends international decisions. For the regression model, a fully modified Least Square model was utilized. The study observed that the R squared values for all models are healthy, with a minimum of 87 percent variables explaining differences in global obesity at the country level. There is very important to tackle the globalization issue to reduce global human obesity. With the simplicity of dietary options and the amount of physical labour they undergo in their agricultural duties, an increase in rural population percentage tends to lower the average national obesity value.
政治全球化是加强全球组织的一个关键和独特的组成部分。肥胖是少数几个国家的全球性流行病,它即将成为一种大流行病,带来大量疾病。本研究旨在探讨政治全球化指数如何影响全球人类发展水平的全球人类肥胖。为了评估观察到的 109 个国家之间存在的任何横断面依赖性,使用第二代面板数据方法分析了 1990 年至 2017 年的年度数据。使用 KAO 面板协整检验和完全修正最小二乘法模型来实现我们的目标。政治全球化水平较低往往会导致全球人类肥胖增加,因为各国无法将国际决策和资源向有利于他们的方向倾斜。而高水平的政治全球化往往会减少肥胖,因为它可以控制和修正国际决策。对于回归模型,使用了完全修正最小二乘法模型。研究观察到,所有模型的 R 平方值都很健康,至少有 87%的变量可以解释国家层面全球肥胖差异。解决全球化问题以减少全球人类肥胖非常重要。随着饮食选择的简单化以及他们在农业工作中所经历的体力劳动量的增加,农村人口比例的增加往往会降低国家平均肥胖值。