| Revista de Saúde Pública | |
| Reproductive outcomes in an area adjacent to a petrochemical plant in southern Brazil | |
| Lenice Minussi Oliveira2  Nina Stein1  Maria Teresa Vieira Sanseverino1  Vera Maria Ferrão Vargas2  Jandyra Maria Guimarães Fachel1  Lavínia Schüler2  | |
| [1] ,Universidade Federal do Rio Grande do Sul Departamento de Genética Porto Alegre RS ,Brasil | |
| 关键词: Petroleum industry; Environmental exposure; Infant; newborn; Impacts on health; Risk Factors; Infant; low birth weight; Case-control studies; Indústria petroquímica; Exposição ambiental; Recém-nascido; Impactos na saúde.; Fatores de risco; Recém-nascido de baixo peso; Estudos de casos e controles.; | |
| DOI : 10.1590/S0034-89102002000100013 | |
| 来源: SciELO | |
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【 摘 要 】
OBJECTIVE: To evaluate possible adverse reproductive outcomes in an area adjacent to a petrochemical plant in southern Brazil. METHODS: A review of 17,113 birth records of the main hospital of the municipality of Montenegro, southern Brazil, from 1983 to 1998 was carried out. Three groups of cases were selected: (1) newborns with major congenital malformations; (2) newborns with low birth weight (<2,500 g); and (3) stillborns (>500 g). A control was assigned to each case. Controls were the first newborns weighing> or = 2,500 g without malformations and of case-matching sex. Mother's residence during pregnancy was used as an exposure parameter. Statistical analyses were performed using Chi-square test or Fisher test, odds ratio, 0.05 significance level, and 95% confidence interval. RESULTS: For unadjusted analysis, it was found a correlation between low birth weight and geographical proximity of mother's residence to the petrochemical plant (OR = 1.66; 95% CI = 1.01--2.72) or residence on the way of preferential wind direction (OR = 1.62; 95% CI = 1.03--2.56). When other covariates were added in the conditional logistic regression (maternal smoking habits, chronic disease and age), there was no association. CONCLUSIONS: Despite final results were negative, low birth weight could be a good parameter of environmental contamination and should be closely monitored in the studied area.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202103040029529ZK.pdf | 1390KB |
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