2012
DOI: 10.1007/s00128-012-0621-z
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Amazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho

Abstract: Birth weight data (22,012 live-births) from a public hospital in Porto Velho (Amazon) was used in multiple statistical models to assess the effects of forest-fire smoke on human reproductive outcome. Mean birth weights for girls (3,139 g) and boys (3,393 g) were considered statistically different (p-value < 2.2e-16). Among all models analyzed, the means were considered statistically different only when treated as a function of month and year (p-value = 0.0989, girls and 0.0079, boys) . The R … Show more

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Cited by 22 publications
(11 citation statements)
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“…However, Henderson et al . (2011) and Prass et al (2012) did not find differences in wildfire effect estimates between men and women in respiratory and cardiovascular physician visits, and birth weight, respectively.…”
Section: Resultsmentioning
confidence: 74%
See 2 more Smart Citations
“…However, Henderson et al . (2011) and Prass et al (2012) did not find differences in wildfire effect estimates between men and women in respiratory and cardiovascular physician visits, and birth weight, respectively.…”
Section: Resultsmentioning
confidence: 74%
“…Of these, meteorological factors were the most prevalent adjustment variables. Some studies controlled for individual variables, such as age group and sex, by stratification (Analitis et al , 2012; Castro et al , 2009; Delfino et al , 2009; Frankenberg et al , 2005; Henderson et al , 2011; Mott et al , 2005; Nunes et al , 2013; Prass et al , 2012; Rappold et al , 2011; Sarnat et al , 2008)…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Of the 10 deemed to have higher risk of bias, 4 did not adequately adjust for important covariates (Azevedo et al 2011; Cooper et al 1994; Prass et al 2012; Resnick et al 2015), 2 were likely underpowered due to small sample size (Cooper et al 1994; Vedal and Dutton 2006), 3 used retrospective self-report for exposure assessment with high potential for bias (Ho et al 2014; McDermott et al 2005; Marshall et al 2007), and the exposure assessment in 2 other studies was not clearly related to smoke from wildfires (Analitis et al 2012, Caamano-Isorna et al 2011). The remaining 43 studies deemed to have low to moderate risk of bias are discussed below.…”
Section: Resultsmentioning
confidence: 99%
“…However, birth weight for the city of Porto Velho, in the state of Rondonia, can be affected by smoke from forest fires, frequent in the Amazon [13]. …”
Section: Introductionmentioning
confidence: 99%