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Potential Impact of Maternal Nighttime Light Exposure and Its Interaction With Sociodemographic Characteristics on the Risk of Various Congenital Heart Diseases

  • Shanidewuhaxi Tuohetasen
  • , Yanji Qu
  • , Philip K. Hopke
  • , Kai Zhang
  • , Yang Liu
  • , Shao Lin
  • , Haogao Gu
  • , Ximeng Wang
  • , Sam S.S. Lau
  • , Xian Lin
  • , Xiangmin Gao
  • , Yong Wu
  • , Xinli Zhou
  • , Ziqiang Lin
  • , Man Zhang
  • , Yongqing Sun
  • , Xiaoqing Liu
  • , Jimei Chen
  • , Wangjian Zhang
  • Sun Yat-Sen University
  • Guangdong Academy of Medical Sciences
  • Clarkson University
  • University of Rochester
  • SUNY Albany
  • Emory University
  • The University of Hong Kong
  • Hong Kong Baptist University
  • Jinan University
  • Capital Medical University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Although maternal exposure to artificial light at night has shown negative associations with pregnancy outcomes, its impact on the risk of congenital heart disease remains unclear. This study examined the association between maternal exposure to artificial light at night during pregnancy and occurrence of congenital heart disease in offspring, considering potential interactions with sociodemographics. Methods: We included newborns diagnosed prenatally with congential heart disease and healthy volunteers from 21 cities in southern China. Using satellite data, we estimated annual exposure to artificial light at night at maternal residential addresses during pregnancy. We evaluated associations using marginal structural logistic models and assessed multiplicative and additive interaction between sociodemographics and light exposure. Results: Each 1-unit increase in light at night during pregnancy was associated with an elevated risk of total congenital heart disease (odds ratio [OR]: 1.2, 95% confidence interval [CI]: 1.2, 1.3), and of almost all specific disease subtypes, in offspring. Using quartiles of light at night confirmed a monotonic dose–response relationship between exposure and disease. The association was more pronounced in severe disease.

Original languageEnglish
Pages (from-to)625-635
Number of pages11
JournalEpidemiology
Volume36
Issue number5
DOIs
StatePublished - Sep 1 2025

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