Literature DB >> 19649420

Are environmental pollutants risk factors for low birth weight?

Luiz Fernando C Nascimento1, Douglas A Moreira.   

Abstract

The aim of this study was to assess the association between prenatal exposure to air pollutants and low birth weight in a medium-sized city. An ecological study was performed, using live birth data from São José dos Campos, São Paulo State, Brazil. The environmental data were obtained from the São Paul State Environmental Agency. The study included full-term newborns whose mothers were 20 to 34 years of age and had at least a complete high school education, seven or more prenatal visits, singleton pregnancy, and vaginal delivery, in order to minimize potential confounding from these variables. Logistic regression was used to estimate the effect of each pollutant. Low birth weight was defined as less than 2,500 g. The sample included a total of 2,529 data from 2001 that met the inclusion criteria (25.6% of the total). We identified 99 newborns (3.95% of the sample) with low birth weight, and the pollutants sulfur dioxide and ozone were associated with low birth weight. The final model was A(x) = -1.79 + 1.30 (SO2) + 1.26 (O3). Thus, sulfur dioxide and ozone were identified as risk factors for low birth weight in a medium-sized city in Southeast Brazil.

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Year:  2009        PMID: 19649420     DOI: 10.1590/s0102-311x2009000800015

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  7 in total

1.  Maternal exposure to air pollutants and birth weight in Tehran, Iran.

Authors:  Pegah Nakhjirgan; Homa Kashani; Kazem Naddafi; Ramin Nabizadeh; Heresh Amini; Masud Yunesian
Journal:  J Environ Health Sci Eng       Date:  2019-06-22

2.  Determinants of Low Birth Weight in Malawi: Bayesian Geo-Additive Modelling.

Authors:  Alfred Ngwira; Christopher C Stanley
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

3.  Assessing the effects of maternal HIV infection on pregnancy outcomes using cross-sectional data in Malawi.

Authors:  Halima S Twabi; Samuel O Manda; Dylan S Small
Journal:  BMC Public Health       Date:  2020-06-22       Impact factor: 3.295

4.  Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015.

Authors:  Rajat Das Gupta; Krystal Swasey; Vanessa Burrowes; Mohammad Rashidul Hashan; Gulam Muhammed Al Kibria
Journal:  BMJ Open       Date:  2019-05-14       Impact factor: 2.692

5.  Spatial distribution of low birthweight infants in Taubaté, São Paulo, Brazil.

Authors:  Luiz Fernando C Nascimento; Thais Moreira Costa; Maria Stella A da C Zöllner
Journal:  Rev Paul Pediatr       Date:  2013-12

6.  Spatial quantile regression with application to high and low child birth weight in Malawi.

Authors:  Alfred Ngwira
Journal:  BMC Public Health       Date:  2019-11-29       Impact factor: 3.295

7.  Mapping the prevalence and socioeconomic predictors of low birth weight among Bangladeshi newborns: evidence from the 2019 Multiple Indicator Cluster Survey.

Authors:  Md Sabbir Ahmed
Journal:  Int Health       Date:  2022-09-07       Impact factor: 3.131

  7 in total

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