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Assessing secondhand and thirdhand tobacco smoke exposure in Canadian infants using questionnaires, biomarkers, and machine learning.

Jaclyn ParksKathleen E McLeanLawrence McCandlessRussell J de SouzaJeffrey R BrookJames ScottStuart E TurveyPiush J MandhaneAllan B BeckerMeghan B AzadTheo J MoraesDiana L LefebvreMalcolm R SearsPadmaja SubbaraoTim K Takaro
Published in: Journal of exposure science & environmental epidemiology (2021)
Though most people make efforts to reduce exposure to their infants, parents do not appear to consider the pervasiveness and persistence of secondhand and thirdhand smoke. More than half of the variation in urinary cotinine and 3HC in infants could not be predicted with modeling. The pervasiveness of thirdhand smoke, the potential for dermal and oral routes of nicotine exposure, along with changes in public perceptions of smoking exposure and risk warrant further exploration.
Keyphrases
  • machine learning
  • healthcare
  • smoking cessation
  • primary care
  • mental health
  • emergency department
  • deep learning
  • wound healing