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. 2018 Apr 24:2018:9389570.
doi: 10.1155/2018/9389570. eCollection 2018.

Socioeconomic and Environmental Predictors of Asthma-Related Mortality

Ankita Sinharoy  1 , Shubhajit Mitra  2 , Pritish Mondal  3
Affiliations

Socioeconomic and Environmental Predictors of Asthma-Related Mortality

Ankita Sinharoy et al. J Environ Public Health. .

Abstract

The prevalence of asthma-related mortality (ARM) varies significantly among different countries, possibly influenced by various socioeconomic and environmental conditions (SEC). In-depth epidemiological research is necessary to understand the causal relationship between different SECs and ARM and to develop public health strategies to reduce the global burden of asthma. Our research aimed to identify the key SECs which may be attributed to ARM worldwide and to study the relationship between ARM and asthma prevalence. We included twenty-two countries with available data on SECs (2014-2015) and divided them into four groups: Asia, Africa, Europe, and Miscellaneous (Australia and North and South America). Tertiary school enrollment (TSE), gross domestic product (GDP), air pollution index, and male and female smoking prevalence rates were analyzed as predictors of ARM, using multiple linear regression. We found that ARM and asthma prevalence had an inverse relationship and developing countries compared to developed countries experienced higher ARM despite having lower asthma prevalence. Asian and African countries, compared to Europe and Miscellaneous countries, experienced poorer SECs, possibly associated with higher ARM. Among SECs, TSE and GDP had strongest association with ARM. In conclusion, lack of education and uneven distribution of resources may have an influence on the increased ARM in developing countries.

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Figures

Figure 1
Figure 1
Scattered plot showing a significant negative correlation between asthma mortality rate and asthma prevalence rate.
Figure 2
Figure 2
Scattered plot demonstrating a significant positive correlation between TSE and asthma prevalence rate.
Figure 3
Figure 3
Dual axes scattered plot illustrating the reverse relationship between asthma mortality rate and GDP (marked with the solid dots and solid trend line); and between asthma prevalence rate and GDP (indicated by the transparent dots and dotted trend line).
Figure 4
Figure 4
Scattered plot demonstrating the positive correlation between female smoking rate and GDP.
See this image and copyright information in PMC

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