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• W4313639969 abstract "Abstract Background Air pollution and several prenatal factors, such as socio-demographic, behavioural, physical activity and clinical factors influence adverse birth outcomes. The study aimed to investigate the impact of ambient air pollution exposure during pregnancy adjusting prenatal risk factors on adverse birth outcomes among pregnant women in MACE birth cohort. Methods Data for the study was obtained from the Mother and Child in the Environment (MACE) birth cohort study in Durban, South Africa from 2013 to 2017. Land use regression models were used to determine household level prenatal exposure to PM 2.5 , SO 2 and NOx. Six hundred and fifty-six births of pregnant females were selected from public sector antenatal clinics in low socio-economic neighbourhoods. We employed a Generalised Structural Equation Model with a complementary log–log-link specification. Results After adjustment for potential prenatal factors, the results indicated that exposure to PM 2.5 was found to have both significant direct and indirect effects on the risk of all adverse birth outcomes. Similarly, an increased level of maternal exposure to SO 2 during pregnancy was associated with an increased probability of being small for gestational age. Moreover, preterm birth act a mediating role in the relationship of exposure to PM 2.5 , and SO 2 with low birthweight and SGA. Conclusions Prenatal exposure to PM 2.5 and SO 2 pollution adversely affected birth outcomes after controlling for other prenatal risk factors. This suggests that local government officials have a responsibility for better control of air pollution and health care providers need to advise pregnant females about the risks of air pollution during pregnancy." @default.
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• W4313639969 date "2023-01-06" @default.
• W4313639969 modified "2023-10-18" @default.
• W4313639969 title "Impact of ambient air pollution exposure during pregnancy on adverse birth outcomes: generalized structural equation modeling approach" @default.
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• W4313639969 doi "https://doi.org/10.1186/s12889-022-14971-3" @default.
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• W4313639969 hasPublicationYear "2023" @default.
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