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Air Pollution and Newly Diagnostic Autism Spectrum Disorders: A Population-Based Cohort Study in Taiwan

Overview of attention for article published in PLOS ONE, September 2013
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Title
Air Pollution and Newly Diagnostic Autism Spectrum Disorders: A Population-Based Cohort Study in Taiwan
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0075510
Pubmed ID
Authors

Chau-Ren Jung, Yu-Ting Lin, Bing-Fang Hwang

Abstract

There is limited evidence that long-term exposure to ambient air pollution increases the risk of childhood autism spectrum disorder (ASD). The objective of the study was to investigate the associations between long-term exposure to air pollution and newly diagnostic ASD in Taiwan. We conducted a population-based cohort of 49,073 children age less than 3 years in 2000 that were retrieved from Taiwan National Insurance Research Database and followed up from 2000 through 2010. Inverse distance weighting method was used to form exposure parameter for ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particles with aerodynamic diameter less than 10 µm (PM10). Time-dependent Cox proportional hazards (PH) model was performed to evaluate the relationship between yearly average exposure air pollutants of preceding years and newly diagnostic ASD. The risk of newly diagnostic ASD increased according to increasing O3, CO, NO2, and SO2 levels. The effect estimate indicating an approximately 59% risk increase per 10 ppb increase in O3 level (95% CI 1.42-1.79), 37% risk increase per 10 ppb in CO (95% CI 1.31-1.44), 340% risk increase per 10 ppb increase in NO2 level (95% CI 3.31-5.85), and 17% risk increase per 1 ppb in SO2 level (95% CI 1.09-1.27) was stable with different combinations of air pollutants in the multi-pollutant models. Our results provide evident that children exposure to O3, CO, NO2, and SO2 in the preceding 1 year to 4 years may increase the risk of ASD diagnosis.

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Geographical breakdown

Country Count As %
Spain 2 1%
Israel 1 <1%
United States 1 <1%
Morocco 1 <1%
Unknown 164 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 19%
Researcher 26 15%
Student > Bachelor 22 13%
Student > Ph. D. Student 18 11%
Other 8 5%
Other 24 14%
Unknown 39 23%
Readers by discipline Count As %
Medicine and Dentistry 33 20%
Agricultural and Biological Sciences 17 10%
Psychology 13 8%
Environmental Science 13 8%
Nursing and Health Professions 10 6%
Other 35 21%
Unknown 48 28%