Mueller, WilliamTantrakarnapa, KraichatJohnston, Helinor JLoh, MirandaSteinle, SusanneVardoulakis, SotirisCherrie, John W2024-02-212024-02-211559-0631http://hdl.handle.net/1885/313784Background There is a growing evidence that exposure to ambient particulate air pollution during pregnancy is associated with adverse birth outcomes, including reduced birth weight (BW). The objective of this study was to quantify associations between BW and exposure to particulate matter (PM) and biomass burning during pregnancy in Thailand. Methods We collected hourly ambient air pollutant data from ground-based monitors (PM with diameter of <10 µm [PM10], Ozone [O3], and nitrogen dioxide [NO2]), biomass burning from satellite remote sensing data, and individual birth weight data during 2015–2018. We performed a semi-ecological analysis to evaluate the association between mean trimester exposure to air pollutants and biomass burning with BW and low-birth weight (LBW) (<2500 g), adjusting for gestation age, sex, previous pregnancies, mother’s age, heat index, season, year, gaseous pollutant concentrations, and province. We examined potential effect modification of PM10 and biomass burning exposures by sex. Results There were 83,931 eligible births with a mean pregnancy PM10 exposure of 39.7 µg/m3 (standard deviation [SD] = 7.7). The entire pregnancy exposure was associated with reduced BW both for PM10 (−6.81 g per 10 µg/m3 increase in PM10 [95% CI = −12.52 to −1.10]) and biomass burning (−6.34 g per 1 SD increase in fires/km2 [95% CI = −11.35 to −1.34]) only after adjustment for NO2. In contrast with these findings, a reduced odds ratio (OR) of LBW was associated with PM10 exposure only in trimesters one and two, with no relationship across the entire pregnancy period. Associations with biomass burning were limited to increased ORs of LBW with exposure in trimester three, but only for male births. Conclusion Based on our results, we encourage further investigation of air pollution, biomass burning and BW in Thailand and other low-income and middle-income countries.We acknowledge the use of data and imagery from LANCE FIRMS operated by NASA’s Earth Science Data and Information System (ESDIS) with funding provided by NASA Headquarters. This study was funded by the Medical Research Council (MRC) (MR/R006210/1) and the Thailand Research Fund (TRF) (RDG603009). Funds to support open access were provided by Heriot-Watt University. The views expressed are those of the author(s) and not necessarily those of the MRC or TRF.application/pdfen-AU© 2021 The authorshttp://creativecommons.org/licenses/by/4.0/202110.1038/s41370-021-00295-82022-10-09Creative Commons Attribution licence