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Household Air Pollution from Biomass Fuel for Cooking and Adverse Fetal Growth Outcomes in Rural Sri Lanka.


ABSTRACT: The aim of this study was to investigate the impact of biomass fuel for cooking on adverse fetal growth outcomes in Sri Lanka. A cross-sectional study of mothers recruited at maternity clinics in rural communities in Sri Lanka's Central Province was undertaken. Data pertaining to household air pollution and fetal growth parameters were collected using an interviewer-administered questionnaire. Logistic regression models, adjusted for potential confounders, were used to evaluate the impact of biomass fuel for cooking on low birth weight (LBW) and small for gestational age (SGA) parameters. Findings showed that exposure to biomass cooking fuels during pregnancy was associated with an increased risk of LBW adjusted odds ratio (aOR) 2.74 (95% CI 1.08-6.96) and SGA (aOR: 1.87, 95% CI 1.03-3.41) compared with the use of clean energy. The risk of LBW was highest for traditional biomass stoves compared to improved biomass stoves (aOR: 3.23, 95% 1.17-8.89) and biomass use in kitchens without a chimney compared to kitchens with a chimney (aOR: 4.63, 95% 1.54-13.93). Similar trends were observed for SGA.

SUBMITTER: Vakalopoulos A 

PROVIDER: S-EPMC7918999 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Household Air Pollution from Biomass Fuel for Cooking and Adverse Fetal Growth Outcomes in Rural Sri Lanka.

Vakalopoulos Alicia A   Dharmage Shyamali C SC   Dharmaratne Samath S   Jayasinghe Pasan P   Lall Olivia O   Ambrose Isabella I   Weerasooriya Rohan R   Bui Dinh S DS   Yasaratne Duminda D   Heyworth Jane J   Bowatte Gayan G  

International journal of environmental research and public health 20210215 4


The aim of this study was to investigate the impact of biomass fuel for cooking on adverse fetal growth outcomes in Sri Lanka. A cross-sectional study of mothers recruited at maternity clinics in rural communities in Sri Lanka's Central Province was undertaken. Data pertaining to household air pollution and fetal growth parameters were collected using an interviewer-administered questionnaire. Logistic regression models, adjusted for potential confounders, were used to evaluate the impact of bio  ...[more]

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