Impacts of Built Environment on Risk of Women's Lung Cancer: A Case Study of China

Int J Environ Res Public Health. 2022 Jun 10;19(12):7157. doi: 10.3390/ijerph19127157.

Abstract

Built environment factors such as air pollution are associated with the risk of respiratory disease, but few studies have carried out profound investigation. We aimed to evaluate the association between the built environment and Chinese women's lung cancer incidence data from the China Cancer Registry Annual Report 2017, which covered 345,711,600 people and 449 qualified cancer registries in mainland China. The air quality indicator (PM2.5) and other built environment data are obtained from the China Statistical Yearbook and other official approved materials. An exploratory regression tool is applied by using Chinese women's lung cancer incidence data (Segi population) as the dependent variable, PM2.5 index and other built environment factors as the independent variables. An apparent clustering region with a high incidence of women's lung cancer was discovered, including regions surrounding Bohai bay and the three Chinese northeastern provinces, Heilongjiang, Liaoning and Inner Mongolia. Besides air quality, built environment factors were found to have a weak but clear impact on lung cancer incidence. Land-use intensity and the greening coverage ratio were positive, and the urbanization rate and population density were negatively correlated with lung cancer incidence. The role of green spaces in Chinese women's lung cancer incidence has not been proven.

Keywords: built environment; exploratory regression analysis; impact factors; lung cancer incidence.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / adverse effects
  • Air Pollution* / analysis
  • Built Environment
  • China / epidemiology
  • Female
  • Humans
  • Lung Neoplasms* / epidemiology
  • Lung Neoplasms* / etiology
  • Particulate Matter / analysis

Substances

  • Air Pollutants
  • Particulate Matter

Grants and funding

This research was funded by the Research Program of Wuhan Urban Construction Bureau. Funding number 201933.