Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties

Huagui Guo; Xin Li; Jing Wei; Weifeng Li; Jiansheng Wu; Yanji Zhang

doi:10.1186/s12889-022-12622-1

Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties

BMC Public Health. 2022 Feb 18;22(1):344. doi: 10.1186/s12889-022-12622-1.

Authors

Huagui Guo¹, Xin Li², Jing Wei³, Weifeng Li^{4

5}, Jiansheng Wu^{6

7}, Yanji Zhang⁸

Affiliations

¹ School of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China.
² Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China.
³ Earth System Science Interdisciplinary Center, Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA.
⁴ Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China.
⁵ Guangdong - Hong Kong - Macau Joint Laboratory for Smart Cities, Shenzhen, 518000, China.
⁶ Key Laboratory for Urban Habitat Environmental Science and Technology, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
⁷ Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
⁸ School of Humanities and Social Sciences, Fuzhou University, Fuzhou, 350108, China. chairman7up@126.com.

Abstract

Background: Many studies have reported the effects of PM_2.5 and PM₁₀ on human health, however, it remains unclear whether particular matter with finer particle size has a greater effect.

Objectives: This work aims to examine the varying associations of the incidence rate of female lung cancer with PM₁, PM_2.5 and PM₁₀ in 436 Chinese cancer registries between 2014 and 2016.

Methods: The effects of PM₁, PM_2.5 and PM₁₀ were estimated through three regression models, respectively. Mode l only included particular matter, while Model 2 and Model 3 further controlled for time and location factors, and socioeconomic covariates, respectively. Moreover, two sensitivity analyses were performed to investigate the robustness of three particular matte effects. Then, we examined the modifying role of urban-rural division on the effects of PM₁, PM_2.5 and PM₁₀, respectively.

Results: The change in the incidence rate of female lung cancer relative to its mean was 5.98% (95% CI: 3.40, 8.56%) for PM₁, which was larger than the values of PM_2.5 and PM₁₀ at 3.75% (95% CI: 2.33, 5.17%) and 1.57% (95% CI: 0.73, 2.41%), respectively. The effects of three particular matters were not sensitive in the two sensitivity analyses. Moreover, urban-rural division positively modified the associations of the incidence rate of female lung cancer with PM₁, PM_2.5 and PM₁₀.

Conclusions: The effect on the incidence rate of female lung cancer was greater for PM₁, followed by PM_2.5 and PM₁₀. There were positive modifying roles of urban-rural division on the effects of three particular matters. The finding supports the argument that finer particular matters are more harmful to human health, and also highlights the great significance to develop guidelines for PM₁ control and prevention in Chinese setting.

Keywords: China; Lung cancer; PM1; PM10; PM2.5.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

China / epidemiology
Female
Humans
Incidence
Lung Neoplasms* / epidemiology
Particulate Matter* / adverse effects
Particulate Matter* / analysis

Substances

Particulate Matter