The Effect of Human Development Index on Obesity Prevalence at the Global Level: A Spatial Analysis.

Human development index Lifestyle factors Obesity Sociodemographic factors

Journal

Iranian journal of public health
ISSN: 2251-6093
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 17 11 2021
accepted: 11 01 2022
medline: 8 8 2023
pubmed: 8 8 2023
entrez: 8 8 2023
Statut: ppublish

Résumé

Obesity is one of the major public health concerns, and its prevalence is increasing worldwide. This study aimed to investigate the effect of human development index on the prevalence of obesity across 152 countries. Country-level data on obesity prevalence and its influencing variables related to 152 countries were obtained during 2000-2019 from several sources. A Spatial Bayesian Hierarchical model was employed in this research, and the analyses were performed using R statistical software (version 3.6.1). We found a positive relation between HDI and obesity prevalence, in such a way if low HDI countries advance to high HDI countries, the obesity rate is expected to increase significantly by 7.45%. Moreover, the association between obesity prevalence and the percentage of people aged 40-59 (β=0.07), urbanization rate (β=0.11), percentage of internet users (β=0.01), percentage of alcohol users (β=0.16), milk consumption per capita (β=0.15) and Percentage of depression (β=0.58) was significantly positive. Conversely, per capita consumption of fruits and vegetables (β=-0.15), and smoking rate (β=-0.02) was negatively associated with obesity prevalence. The prevalence of obesity is growing across all countries, especially in the countries with high and very high HDI. Therefore, policymakers must also pay attention to the negative effects of development when trying to improve the welfare of society.

Sections du résumé

Background UNASSIGNED
Obesity is one of the major public health concerns, and its prevalence is increasing worldwide. This study aimed to investigate the effect of human development index on the prevalence of obesity across 152 countries.
Methods UNASSIGNED
Country-level data on obesity prevalence and its influencing variables related to 152 countries were obtained during 2000-2019 from several sources. A Spatial Bayesian Hierarchical model was employed in this research, and the analyses were performed using R statistical software (version 3.6.1).
Results UNASSIGNED
We found a positive relation between HDI and obesity prevalence, in such a way if low HDI countries advance to high HDI countries, the obesity rate is expected to increase significantly by 7.45%. Moreover, the association between obesity prevalence and the percentage of people aged 40-59 (β=0.07), urbanization rate (β=0.11), percentage of internet users (β=0.01), percentage of alcohol users (β=0.16), milk consumption per capita (β=0.15) and Percentage of depression (β=0.58) was significantly positive. Conversely, per capita consumption of fruits and vegetables (β=-0.15), and smoking rate (β=-0.02) was negatively associated with obesity prevalence.
Conclusion UNASSIGNED
The prevalence of obesity is growing across all countries, especially in the countries with high and very high HDI. Therefore, policymakers must also pay attention to the negative effects of development when trying to improve the welfare of society.

Identifiants

pubmed: 37551189
doi: 10.18502/ijph.v52i4.12456
pii: IJPH-52-829
pmc: PMC10404321
doi:

Types de publication

Journal Article

Langues

eng

Pagination

829-839

Informations de copyright

Copyright © 2023 Shirvani Shiri et al. Published by Tehran University of Medical Sciences.

Déclaration de conflit d'intérêts

Conflict of Interest The authors declare that there is no conflict of interests.

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Auteurs

Maryam Shirvani Shiri (M)

Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Sara Emamgholipour (S)

Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Hassan Heydari (H)

Department of Economics, School of Management and Economics, Tarbiat Modares University, Tehran, Iran.

Nazanin Fekri (N)

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Hassan Karami (H)

Department of Health Economics' School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

Classifications MeSH