High incidence of breast cancer in light-polluted areas with spatial effects in Korea

Yun Jeong Kim, Man Sik Park, Eunil Lee, Jae Wook Choi

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in R2 from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects.

Original languageEnglish
Pages (from-to)361-367
Number of pages7
JournalAsian Pacific Journal of Cancer Prevention
Volume17
Issue number1
DOIs
Publication statusPublished - 2016

Keywords

  • Breast cancer
  • Intrinsic conditional autoregressive model
  • Light pollution
  • Spatial analysis

ASJC Scopus subject areas

  • Epidemiology
  • Oncology
  • Public Health, Environmental and Occupational Health
  • Cancer Research

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