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Air Pollution and Autism Spectrum Disorder in Israel
- Source :
- Epidemiology
- Publication Year :
- 2021
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2021.
-
Abstract
- BACKGROUND: Residual confounding is a major concern for causal inference in observational studies on air pollution–autism spectrum disorder (ASD) associations. This study is aimed at assessing confounding in these associations using negative control exposures. METHODS: This nested case–control study included all children diagnosed with ASD (detected through 31 December 2016) born during 2007-2012 in Israel and residing in the study area (N= 3,843), and matched controls of the same age (N= 38,430). We assigned individual house-level exposure estimates for each child. We estimated associations using logistic regression models, mutually adjusted for all relevant exposure periods (pre-pregnancy, pregnancy, and postnatal). We assessed residual confounding using post-outcome negative control exposure at age 28-36 months. RESULTS: In mutually adjusted models we observed positive associations with ASD for postnatal exposures to NOx (odds ratio [OR] per interquartile range, 95% confidence interval [CI]: 1.19, 1.02-1.38) and NO(2) (1.20, 1.00-1.43), and gestational exposure to PM(2.5-10) (1.08, 1.01-1.15). The result for the negative control period was 1.04, 0.99-1.10 for PM(2.5,) suggesting some residual confounding, but no associations for PM(2.5-10) (0.98, 0.81-1.18), NOx (1.02, 0.84-1.25) or NO(2) (0.98, 0.81-1.18), suggesting no residual confounding. CONCLUSIONS: Our results further support a hypothesized causal link with ASD that is specific to postnatal exposures to traffic-related pollution.
- Subjects :
- Autism Spectrum Disorder
Epidemiology
Logistic regression
Article
Pregnancy
Interquartile range
Air Pollution
medicine
Humans
Spectrum disorder
Israel
Child
Air Pollutants
business.industry
Confounding
Environmental Exposure
Odds ratio
medicine.disease
Confidence interval
Autism spectrum disorder
Case-Control Studies
Child, Preschool
Female
Particulate Matter
Observational study
business
Demography
Subjects
Details
- ISSN :
- 10443983
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Epidemiology
- Accession number :
- edsair.doi.dedup.....ddc78e5a389e307001c5f17f901cc166
- Full Text :
- https://doi.org/10.1097/ede.0000000000001407