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
Zusammenfassung: | |
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. | |
Lizenzbestimmungen: | CC BY 4.0 Unported |
Publikationstyp: | Article |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2023 |
Die Publikation erscheint in Sammlung(en): | Naturwissenschaftliche Fakultät |
Pos. | Land | Downloads | ||
---|---|---|---|---|
Anzahl | Proz. | |||
1 | Germany | 18 | 33,96% | |
2 | United States | 16 | 30,19% | |
3 | No geo information available | 5 | 9,43% | |
4 | Pakistan | 5 | 9,43% | |
5 | Vietnam | 4 | 7,55% | |
6 | China | 2 | 3,77% | |
7 | Iran, Islamic Republic of | 1 | 1,89% | |
8 | Indonesia | 1 | 1,89% | |
9 | Denmark | 1 | 1,89% |
Hinweis
Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.