Skip to main content

Advertisement

Log in

Association of greenness with the disease burden of lower respiratory infections and mediation effects of air pollution and heat: a global ecological study

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Exposure to greenness is increasingly linked to beneficial health outcomes, but the associations between greenness and the disease burden of lower respiratory infections (LRIs) are unclear. We used the normalized difference vegetation index (NDVI) and the leaf area index (LAI) to measure greenness and incidence, death, and disability-adjusted life years (DALYs) due to LRIs to represent the disease burden of LRIs. We applied a generalized linear mixed model to evaluate the association between greenness and LRI disease burden and performed a stratified analysis, after adjusting for covariates. Additionally, we assessed the potential mediating effects of fine particulate matter (PM2.5), ozone (O3), nitrogen dioxide (NO2), and heat on the association between greenness and the disease burden of LRIs. In the adjusted model, one 0.1 unit increase of NDVI and 0.5 increase in LAI were significantly inversely associated with incidence, death, and DALYs due to LRIs, respectively. Greenness was negatively correlated with the disease burden of LRIs across 15–65 age group, both sexes, and low SDI groups. PM2.5, O3, and heat mediated the effects of greenness on the disease burden of LRIs. Greenness was significantly negatively associated with the disease burden of LRIs, possibly by reducing exposure to air pollution and heat.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Publicly available datasets were analyzed in this study. This data can be found here: [dataset1] Global Burden of Disease, 2019. http://ghdx.healthdata.org/gbd-results-tool. [dataset2] Surface PM2.5. Atmospheric Composition Analysis Group, V5.GL.02. https://sites.wustl.edu/acag/datasets. [dataset3] NASA Earth Observations,2022. Vegetation Index. https://neo.gsfc.nasa.gov/. (Accessed Jan. 30, 2022). [dataset4] https://doi.org/10.6084/m9.figshare.12968114. [dataset5] World Bank, 2022. https://databank.worldbank.org/home.aspx.

Abbreviations

LRIs:

Lower respiratory infections

GBD:

Global burden of disease

DALYs:

Disability-adjusted life years

PM2.5 :

Fine particulate matter ≤2.5 μm

O3 :

Ozone

NO2 :

Nitrogen dioxide

NDVI:

Normalized difference vegetation index

LAI:

Leaf area index

SDI:

Socio-demographic Index

RR:

Rate ratio

CI:

Confidence interval

IQR:

Interquartile range

VIF:

Variance inflation factor

GLMMs:

Generalized linear mixed models

PQL:

Penalized quasi-likelihood

GDP:

Gross domestic product

References

Download references

Acknowledgements

We would like to thank all of our teachers and students for their assistance with this work.

Funding

The work was supported by the 512 Talent Cultivation Plan of Bengbu Medical College (grant numbers by 51201202 and by 51201307) and the Natural Science Foundation of Anhui Province (grant no. 2108085MH252), China.

Author information

Authors and Affiliations

Authors

Contributions

Chengrong Liu: formal analysis, data curation, writing—original draft, and visualization. Chao Liu: investigation and resources. Peiyao Zhang: investigation and resources. Meihui Tian: investigation and resources. Ke Zhao: investigation and resources. Fenfen He: investigation and supervision. Yilin Dong: investigation and resources. Haoyu Liu: investigation and supervision. Wenjia Peng: methodology and writing—review and editing. Xianjie Jia: supervision, project administration, writing—review and editing, and funding acquisition. Ying Yu: conceptualization, writing—review and editing, supervision, and funding acquisition.

Corresponding author

Correspondence to Ying Yu.

Ethics declarations

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interest

The authors declare no competing interests.

Additional information

Responsible Editor: Lotfi Aleya

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 1350 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, ., Liu, C., Zhang, P. et al. Association of greenness with the disease burden of lower respiratory infections and mediation effects of air pollution and heat: a global ecological study. Environ Sci Pollut Res 30, 91971–91983 (2023). https://doi.org/10.1007/s11356-023-28816-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-28816-y

Keywords

Navigation