» Articles » PMID: 37063335

Global Human Obesity and Global Social Index: Relationship and Clustering

Overview
Journal Front Nutr
Date 2023 Apr 17
PMID 37063335
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Global burden of thyroid cancer in 2022: Incidence and mortality estimates from GLOBOCAN.

Lyu Z, Zhang Y, Sheng C, Huang Y, Zhang Q, Chen K Chin Med J (Engl). 2024; 137(21):2567-2576.

PMID: 39261986 PMC: 11557048. DOI: 10.1097/CM9.0000000000003284.


Possible connection between intestinal tuft cells, ILC2s and obesity.

Yang H, Huang Y, Xiong P, Li J, Chen J, Liu X Front Immunol. 2024; 14:1266667.

PMID: 38283340 PMC: 10811205. DOI: 10.3389/fimmu.2023.1266667.


The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques.

Geng L, Jiang G, Yu L, Xu Y, Huang W, Chen Z JMIR Mhealth Uhealth. 2023; 11:e50226.

PMID: 37999950 PMC: 10709793. DOI: 10.2196/50226.

References
1.
Popkin B, Gordon-Larsen P . The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord. 2004; 28 Suppl 3:S2-9. DOI: 10.1038/sj.ijo.0802804. View

2.
Creatore M, Glazier R, Moineddin R, Fazli G, Johns A, Gozdyra P . Association of Neighborhood Walkability With Change in Overweight, Obesity, and Diabetes. JAMA. 2016; 315(20):2211-20. DOI: 10.1001/jama.2016.5898. View

3.
Mohammadbeigi A, Asgarian A, Moshir E, Heidari H, Afrashteh S, Khazaei S . Fast food consumption and overweight/obesity prevalence in students and its association with general and abdominal obesity. J Prev Med Hyg. 2018; 59(3):E236-E240. PMC: 6196377. DOI: 10.15167/2421-4248/jpmh2018.59.3.830. View

4.
Munir M, Zakaria Z, Alhajj R, Mohamad M, Baig A, Arshed N . Global human obesity and political globalization; asymmetric relationship through world human development levels. Nutr Health. 2022; 30(3):489-497. DOI: 10.1177/02601060221125146. View

5.
Fernandez J, Shiver M . Using genetic admixture to study the biology of obesity traits and to map genes in admixed populations. Nutr Rev. 2004; 62(7 Pt 2):S69-74. DOI: 10.1111/j.1753-4887.2004.tb00091.x. View