The quantitative assessment of the public excess disease burden advanced by inhalable particulate matter under different air quality standard targets in Tianjin, China
- 48 Downloads
Currently, the quantitative assessment of the public excess risk for the update of the air quality guidelines only considered the mortality and morbidity without disease burden indicators. To provide evidences for the update of air quality guidelines and the policy analysis of air control, a simple framework to identify the excess disease burden of PM10 was used in this study. Daily data on PM10, meteorological factors, and deaths were collected in this 10-year (2001–2010) time series study in Tianjin, China. The excess disease burden advanced by PM10 was assessed when the PM10 levels exceeded the expected levels. Generalized additive model was used to estimate the associations of PM10 with mortality and years of life lost (YLL). Our study found that the exposure of PM10 was associated with the increasing of mortality and YLL in different diseases. The excess deaths and YLL of different diseases advanced by PM10 when the PM10 levels exceeded the expected levels were high and showed a decreasing trend from 2001 to 2010. The annual deaths and YLL standardized per million population advanced by PM10 when the annual PM10 levels exceeded the China national ambient air quality secondary standard targets (70 μg/m3) and WHO guideline (20 μg/m3) were 126 persons, 2670 person years and 260 persons, 5449 person years, respectively. This study may provide a simple framework to identify the excess disease burden of PM and provide basic and intuitive evidences to update the air quality guidelines. Furthermore, these findings may also provide decisionmakers with intuitive quantitative information for policymaking and emphasize health considerations in air quality policy discussions.
KeywordsInhalable particulate matter Excess disease burden Years of life lost Air quality standard targets
We specially thank the data sharing of the Department of Non-communicable Disease Control and Prevention, Tianjin Centers for Disease Control and Prevention, for the death monitoring data. We also thank the stuffs who are working at the death monitoring in Tianjin.
The work was funded by the National Natural Science Foundation of China [grant number 81872590] and Key Scientific and Technological Project on Health of Tianjin [grant number 16KG170].
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Ni Y, Wu S, Ji W, Chen Y, Zhao B, Shi S, Tu X, Li H, Pan L, Deng F, Guo X (2016) The exposure metric choices have significant impact on the association between short-term exposure to outdoor particulate matter and changes in lung function: findings from a panel study in chronic obstructive pulmonary disease patients. Sci Total Environ 542:264–270CrossRefGoogle Scholar
- Samoli E, Peng R, Ramsay T, Pipikou M, Touloumi G, Dominici F, Burnett R, Cohen A, Krewski D, Samet J, Katsouyanni K (2008) Acute effects of ambient particulate matter on mortality in Europe and North America: results from the APHENA study. Environ Health Perspect 116:1480–1486CrossRefGoogle Scholar
- Wong CM, Vichit-Vadakan N, Vajanapoom N, Ostro B, Thach TQ, Chau PY et al (2010) Part 5. Public health and air pollution in Asia (PAPA): a combined analysis of four studies of air pollution and mortality. Res Rep Health Eff Inst 154:377–418Google Scholar
- World Health Organization (2005) Air quality guidelines global update 2005. http://www.euro.who.int/_data/assets/pdf_file/0005/78638/E90038.pdf?ua=78631. Accessed 21 Sep 2017
- World Health Organization (2015) International classification of diseases and related health problems 10th Revision. Geneva: ICD-10 version: 2015. http://apps.who.int/classifications/icd10/browse/2015/en. Accessed 21 Sep 2017
- Zeng Q, Wu Z, Jiang G, Wu X, Li P, Ni Y, Xiong X, Wang X, Parasat LG, Pan X (2017) The association between ambient inhalable particulate matter and the disease burden of respiratory disease: an ecological study based on ten-year time series data in Tianjin, China. Environ Res 157:71–77CrossRefGoogle Scholar