Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.

Exposure to pollutants during pregnancy has been related to adverse birth outcomes. LBW can give rise to lifelong impairments. Prematurity is the leading cause of LBW, yet few studies have attempted to analyse how environmental factors can influence LBW in infants who are not premature. This study t...

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Main Authors: Julio Díaz, Virginia Arroyo, Cristina Ortiz, Rocío Carmona, Cristina Linares
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5082809?pdf=render
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spelling doaj-5d2dec1dcdc84416bb5b09a8710a4a782020-11-24T22:03:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011110e016474110.1371/journal.pone.0164741Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.Julio DíazVirginia ArroyoCristina OrtizRocío CarmonaCristina LinaresExposure to pollutants during pregnancy has been related to adverse birth outcomes. LBW can give rise to lifelong impairments. Prematurity is the leading cause of LBW, yet few studies have attempted to analyse how environmental factors can influence LBW in infants who are not premature. This study therefore sought to analyse the influence of air pollution, noise levels and temperature on LBW in non-premature births in Madrid during the period 2001-2009.Ecological time-series study to assess the impact of PM2.5, NO2 and O3 concentrations, noise levels, and temperatures on LBW among non-premature infants across the period 2001-2009. Our analysis extended to infants having birth weights of 1,500 g to 2,500 g (VLBW) and less than 1,500 g (ELBW). Environmental variables were lagged until 37 weeks with respect to the date of birth, and cross-correlation functions were used to identify explaining lags. Results were quantified using Poisson regression models.Across the study period 298,705 births were registered in Madrid, 3,290 of which had LBW; of this latter total, 1,492 were non-premature. PM2.5 was the only pollutant to show an association with the three variables of LBW in non-premature births. This association occurred at around the third month of gestation for LBW and VLBW (LBW: lag 23 and VLBW: lag 25), and at around the eighth month of gestation for ELBW (lag 6). Leqd was linked to LBW at lag zero. The RR of PM2.5 on LBW was 1.01 (1.00 1.03). The RR of Leqd on LBW was 1.09 (0.99 1.19)(p<0.1).The results obtained indicate that PM2.5 had influence on LBW. The adoption of measures aimed at reducing the number of vehicles would serve to lower pregnant women's exposure. In the case of noise should be limited the exposure to high levels during the final weeks of pregnancy.http://europepmc.org/articles/PMC5082809?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Julio Díaz
Virginia Arroyo
Cristina Ortiz
Rocío Carmona
Cristina Linares
spellingShingle Julio Díaz
Virginia Arroyo
Cristina Ortiz
Rocío Carmona
Cristina Linares
Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
PLoS ONE
author_facet Julio Díaz
Virginia Arroyo
Cristina Ortiz
Rocío Carmona
Cristina Linares
author_sort Julio Díaz
title Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
title_short Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
title_full Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
title_fullStr Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
title_full_unstemmed Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.
title_sort effect of environmental factors on low weight in non-premature births: a time series analysis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Exposure to pollutants during pregnancy has been related to adverse birth outcomes. LBW can give rise to lifelong impairments. Prematurity is the leading cause of LBW, yet few studies have attempted to analyse how environmental factors can influence LBW in infants who are not premature. This study therefore sought to analyse the influence of air pollution, noise levels and temperature on LBW in non-premature births in Madrid during the period 2001-2009.Ecological time-series study to assess the impact of PM2.5, NO2 and O3 concentrations, noise levels, and temperatures on LBW among non-premature infants across the period 2001-2009. Our analysis extended to infants having birth weights of 1,500 g to 2,500 g (VLBW) and less than 1,500 g (ELBW). Environmental variables were lagged until 37 weeks with respect to the date of birth, and cross-correlation functions were used to identify explaining lags. Results were quantified using Poisson regression models.Across the study period 298,705 births were registered in Madrid, 3,290 of which had LBW; of this latter total, 1,492 were non-premature. PM2.5 was the only pollutant to show an association with the three variables of LBW in non-premature births. This association occurred at around the third month of gestation for LBW and VLBW (LBW: lag 23 and VLBW: lag 25), and at around the eighth month of gestation for ELBW (lag 6). Leqd was linked to LBW at lag zero. The RR of PM2.5 on LBW was 1.01 (1.00 1.03). The RR of Leqd on LBW was 1.09 (0.99 1.19)(p<0.1).The results obtained indicate that PM2.5 had influence on LBW. The adoption of measures aimed at reducing the number of vehicles would serve to lower pregnant women's exposure. In the case of noise should be limited the exposure to high levels during the final weeks of pregnancy.
url http://europepmc.org/articles/PMC5082809?pdf=render
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