Relating Environmental Changes on Human Health – A Global Clustering Analysis

Green Environment is a dream of the modern world but there are several direct and indirect environmental factors affecting our health. For this purpose, this study is efficiently highlighted key environmental indicators, those are caused to increase or decrease human obesity (globesity) in global prospective. This study plays a key role by collecting several global databases of 183 countries based on the availability data from the World Health Organization, World Development Indicators by World Bank and other sources. This study has used principal axis factoring (PAF), correlations, advanced visualizations and global clustering. The results show that global environment index has indirect relationship with globesity. The results also shown that low human developed countries have low effect of obesity, but very high human developed countries have high level of globesity. This is concluded that if environment index is increasing then human obesity at high risk and sown at high levels of correlation in global prospective at all HDI countries.

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Publication Details

Journal
Pakistan Journal of Humanities and Social Sciences
Published
2024-08-16
DOI
https://doi.org/10.52131/pjhss.2024.v12i3.2423
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
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article

Relating Environmental Changes on Human Health – A Global Clustering Analysis

Haseeb Nisar, Mubbasher Munir, Fahmida
1 links
Pakistan Journal of Humanities and Social Sciences
Health, Environment, Cognitive Aging
article

Relating Environmental Changes on Human Health – A Global Clustering Analysis

Haseeb Nisar, Mubbasher Munir, Fahmida
article en

Abstract

Green Environment is a dream of the modern world but there are several direct and indirect environmental factors affecting our health. For this purpose, this study is efficiently highlighted key environmental indicators, those are caused to increase or decrease human obesity (globesity) in global prospective. This study plays a key role by collecting several global databases of 183 countries based on the availability data from the World Health Organization, World Development Indicators by World Bank and other sources. This study has used principal axis factoring (PAF), correlations, advanced visualizations and global clustering. The results show that global environment index has indirect relationship with globesity. The results also shown that low human developed countries have low effect of obesity, but very high human developed countries have high level of globesity. This is concluded that if environment index is increasing then human obesity at high risk and sown at high levels of correlation in global prospective at all HDI countries.

Pakistan Journal of Humanities and Social SciencesVol. 12(3)
National Postdoctoral Association (US), Sunway University (MY)
Openalex Percentile: Top 76%
Health, Environment, Cognitive Aging
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