Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium
- Author
- Bram Vandeninden, Eva M. De Clercq, Brecht Devleesschauwer (UGent) , Martina Otavova, Catherine Bouland and Christel Faes
- Organization
- Abstract
- Environmental stress represents an important burden on health and leads to a considerable number of diseases, hospitalisations, and excess mortality. Our study encompasses a representative sample size drawn from the Belgian population in 2016 (n = 11.26 million, with a focus on n = 11.15 million individuals). The analysis is conducted at the geographical level of statistical sectors, comprising a total of n = 19,794 sectors, with a subset of n = 18,681 sectors considered in the investigation. We integrated multiple parameters at the finest spatial level and constructed three categories of environmental stress through clustering: air pollution, noise stress and stress related to specific land-use types. We observed identifiable patterns in the spatial distribution of stressors within each cluster category. We assessed the relationship between age-standardized all-cause mortality rates (ASMR) and environmental stressors. Our research found that especially very high air pollution values in areas where traffic is the dominant local component of air pollution (ASMR + 14,8%, 95% CI: 10,4 - 19,4%) and presence of industrial land (ASMR + 14,7%, 95% CI: 9,4 - 20,2%) in the neighbourhood are associated with an increased ASMR. Cumulative exposure to multiple sources of unfavourable environmental stress (simultaneously high air pollution, high noise, presence of industrial land or proximity of primary/secondary roads and lack of green space) is associated with an increase in ASMR (ASMR + 26,9%, 95% CI: 17,1 - 36,5%).
- Keywords
- Air pollution, Clusters, Ecological regression, Land cover, Noise, Public health, Spatial patterns.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HQ8MVB89HRPDB9AX0AJ86W4Q
- MLA
- Vandeninden, Bram, et al. “Cluster Pattern Analysis of Environmental Stressors and Quantifying Their Impact on All-Cause Mortality in Belgium.” BMC PUBLIC HEALTH, vol. 24, no. 1, BMC, 2024, doi:10.1186/s12889-024-18011-0.
- APA
- Vandeninden, B., De Clercq, E. M., Devleesschauwer, B., Otavova, M., Bouland, C., & Faes, C. (2024). Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium. BMC PUBLIC HEALTH, 24(1). https://doi.org/10.1186/s12889-024-18011-0
- Chicago author-date
- Vandeninden, Bram, Eva M. De Clercq, Brecht Devleesschauwer, Martina Otavova, Catherine Bouland, and Christel Faes. 2024. “Cluster Pattern Analysis of Environmental Stressors and Quantifying Their Impact on All-Cause Mortality in Belgium.” BMC PUBLIC HEALTH 24 (1). https://doi.org/10.1186/s12889-024-18011-0.
- Chicago author-date (all authors)
- Vandeninden, Bram, Eva M. De Clercq, Brecht Devleesschauwer, Martina Otavova, Catherine Bouland, and Christel Faes. 2024. “Cluster Pattern Analysis of Environmental Stressors and Quantifying Their Impact on All-Cause Mortality in Belgium.” BMC PUBLIC HEALTH 24 (1). doi:10.1186/s12889-024-18011-0.
- Vancouver
- 1.Vandeninden B, De Clercq EM, Devleesschauwer B, Otavova M, Bouland C, Faes C. Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium. BMC PUBLIC HEALTH. 2024;24(1).
- IEEE
- [1]B. Vandeninden, E. M. De Clercq, B. Devleesschauwer, M. Otavova, C. Bouland, and C. Faes, “Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium,” BMC PUBLIC HEALTH, vol. 24, no. 1, 2024.
@article{01HQ8MVB89HRPDB9AX0AJ86W4Q,
abstract = {{Environmental stress represents an important burden on health and leads to a considerable number of diseases, hospitalisations, and excess mortality. Our study encompasses a representative sample size drawn from the Belgian population in 2016 (n = 11.26 million, with a focus on n = 11.15 million individuals). The analysis is conducted at the geographical level of statistical sectors, comprising a total of n = 19,794 sectors, with a subset of n = 18,681 sectors considered in the investigation. We integrated multiple parameters at the finest spatial level and constructed three categories of environmental stress through clustering: air pollution, noise stress and stress related to specific land-use types. We observed identifiable patterns in the spatial distribution of stressors within each cluster category. We assessed the relationship between age-standardized all-cause mortality rates (ASMR) and environmental stressors. Our research found that especially very high air pollution values in areas where traffic is the dominant local component of air pollution (ASMR + 14,8%, 95% CI: 10,4 - 19,4%) and presence of industrial land (ASMR + 14,7%, 95% CI: 9,4 - 20,2%) in the neighbourhood are associated with an increased ASMR. Cumulative exposure to multiple sources of unfavourable environmental stress (simultaneously high air pollution, high noise, presence of industrial land or proximity of primary/secondary roads and lack of green space) is associated with an increase in ASMR (ASMR + 26,9%, 95% CI: 17,1 - 36,5%).}},
articleno = {{536}},
author = {{Vandeninden, Bram and De Clercq, Eva M. and Devleesschauwer, Brecht and Otavova, Martina and Bouland, Catherine and Faes, Christel}},
issn = {{1471-2458}},
journal = {{BMC PUBLIC HEALTH}},
keywords = {{Air pollution,Clusters,Ecological regression,Land cover,Noise,Public health,Spatial patterns.}},
language = {{eng}},
number = {{1}},
pages = {{16}},
publisher = {{BMC}},
title = {{Cluster pattern analysis of environmental stressors and quantifying their impact on all-cause mortality in Belgium}},
url = {{http://doi.org/10.1186/s12889-024-18011-0}},
volume = {{24}},
year = {{2024}},
}
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