Investigating associations between anti-nuclear antibody positivity and combined long-term exposures to NO2, O3, and PM2.5 using a Bayesian kernel machine regression approach

• Published in: Environment international Vol. 136; p. 105472
• Main Authors: Zhao, Naizhuo, Smargiassi, Audrey, Hudson, Marie, Fritzler, Marvin J., Bernatsky, Sasha
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2020; Elsevier
• Subjects: adverse effects; air pollutants; air pollution; Anti-nuclear antibodies (ANAs); antibodies; Bayesian kernel machine regression (BKMR); Bayesian theory; blood sampling; chronic diseases; Fine particles matter (PM2.5); genomics; lifestyle; logit analysis; nationalities and ethnic groups; nitrogen dioxide; Nitrogen dioxide (NO2); ozone; Ozone (O3); particulates; public research; Quebec; synergism; Quebec; Fine particles matter (PM2.5); Bayesian kernel machine regression (BKMR); Anti-nuclear antibodies (ANAs); Ozone (O3); Nitrogen dioxide (NO2)

•We determined ANA using biobanked sera from a general population sample in Quebec.•Effects of exposures to NO2, O3, and PM2.5 on ANA were assessed by a BKMR method.•We compared the results obtained by the BKMR to standard logistic regression models.•Individual/mixed effects of exposures on ANA were...