Global human obesity and global social index: Relationship and clustering

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Munir, M.; Zakaria, Z.A.; Nisar, H.; Ahmed, Z.; Korma, S.A. et al.: Global human obesity and global social index: Relationship and clustering. In: Frontiers in nutrition : FNUT 10 (2023), 1150403. DOI: https://doi.org/10.3389/fnut.2023.1150403

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Sum total of downloads: 53




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Abstract: 
Introduction: Obesity, a complex, multifactorial disease, is considered a global disease burden widely affecting the quality of life across different populations. Factors involved in obesity involve genetics, behavior and socioeconomic and environmental origins, each contributing to the risk of debilitating morbidity and mortality. However, the trends across the world vary due to various globalization parameters. Methods: This article tends to identify the global social indicators, compiled into a global index, and develop a correlation between the global social index created by using the human development index, social and political globalization, the global happiness index, and the quality of infrastructure, institutions, and individuals using the internet factors and its effect on global obesity. Results and Discussion: Our results identified a positive correlation between medium human development levels with obesity compared to low and very high human development levels. Economic stability due to rapid industrialization has increased the buying capacity and changed the global food system, which seems to be the major driver of the rise of global obesity. Conclusion: The results decipher that global social indicators and overall social index have positively affected global obesity, which will help policymakers and governmental organizations monitor the obesity patterns across their regions by a significant contribution from globally influenced social factors.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 18 33.96%
2 image of flag of United States United States 16 30.19%
3 image of flag of No geo information available No geo information available 5 9.43%
4 image of flag of Pakistan Pakistan 5 9.43%
5 image of flag of Vietnam Vietnam 4 7.55%
6 image of flag of China China 2 3.77%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 1.89%
8 image of flag of Indonesia Indonesia 1 1.89%
9 image of flag of Denmark Denmark 1 1.89%

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