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De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)

BACKGROUND: Ionizing radiation and chemical pollution can disrupt normal embryonic development and lead to congenital malformations and fetal death. We used official government statistical data for 2000–2017 to test the hypothesis that radioactive and chemical pollutants influenced the frequency of...

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Autores principales: Korsakov, Anton V., Geger, Emilia V., Lagerev, Dmitry G., Pugach, Leonid I., Mousseau, Timothy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452506/
https://www.ncbi.nlm.nih.gov/pubmed/32885067
http://dx.doi.org/10.1016/j.heliyon.2020.e04616
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author Korsakov, Anton V.
Geger, Emilia V.
Lagerev, Dmitry G.
Pugach, Leonid I.
Mousseau, Timothy A.
author_facet Korsakov, Anton V.
Geger, Emilia V.
Lagerev, Dmitry G.
Pugach, Leonid I.
Mousseau, Timothy A.
author_sort Korsakov, Anton V.
collection PubMed
description BACKGROUND: Ionizing radiation and chemical pollution can disrupt normal embryonic development and lead to congenital malformations and fetal death. We used official government statistical data for 2000–2017 to test the hypothesis that radioactive and chemical pollutants influenced the frequency of de novo congenital malformations in newborns of the Bryansk region of southwest Russia. METHODS: A variety of statistical approaches were used to assess congenital malformation frequencies including the Shapiro-Wilk test, White's homoscedasticity test, Wilcoxon T-test, Spearman's rank correlation test, and the inversely proportional regression. RESULTS: We found that the frequency of polydactyly, multiple congenital malformations, and the frequency of de novo congenital malformations in newborns were significantly higher (p = 0.001–0.054) in regions with elevated radioactive, chemical and combined contamination. Polydactyly, multiple congenital malformations, and the sum of all congenital malformations were 4.7–7.4 times, 2.5–6.8 times, and 3.5–4.6 times higher in contaminated regions in comparison with the control group. The combination of both radioactive and chemical pollutants led to significantly higher frequencies of multiple congenital malformations when compared to regions with only one pollutant (radiation alone: 2.2 times, p = 0.034; chemical pollutants alone: 1.9 times, p = 0.008) implying that the effects of these stressors were at minimum additive. Although there was a trend for decreasing frequencies of multiple congenital malformations during the 2000–2017 period in areas of combined pollution, the opposite was true for regions with radioactive or chemical pollutants alone. However, overall, our models suggest that the frequency of multiple congenital malformations in areas of combined pollution will significantly (p = 0.027) exceed the frequencies observed for regions containing radioactive or chemical pollutants alone by 39.6% and 45.7% respectively, by 2018–2023. CONCLUSION: These findings suggest additive and potentially synergistic effects of radioactive and chemical pollutants on the frequencies of multiple congenital malformations in the Bryansk region of southwestern Russia.
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spelling pubmed-74525062020-09-02 De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017) Korsakov, Anton V. Geger, Emilia V. Lagerev, Dmitry G. Pugach, Leonid I. Mousseau, Timothy A. Heliyon Article BACKGROUND: Ionizing radiation and chemical pollution can disrupt normal embryonic development and lead to congenital malformations and fetal death. We used official government statistical data for 2000–2017 to test the hypothesis that radioactive and chemical pollutants influenced the frequency of de novo congenital malformations in newborns of the Bryansk region of southwest Russia. METHODS: A variety of statistical approaches were used to assess congenital malformation frequencies including the Shapiro-Wilk test, White's homoscedasticity test, Wilcoxon T-test, Spearman's rank correlation test, and the inversely proportional regression. RESULTS: We found that the frequency of polydactyly, multiple congenital malformations, and the frequency of de novo congenital malformations in newborns were significantly higher (p = 0.001–0.054) in regions with elevated radioactive, chemical and combined contamination. Polydactyly, multiple congenital malformations, and the sum of all congenital malformations were 4.7–7.4 times, 2.5–6.8 times, and 3.5–4.6 times higher in contaminated regions in comparison with the control group. The combination of both radioactive and chemical pollutants led to significantly higher frequencies of multiple congenital malformations when compared to regions with only one pollutant (radiation alone: 2.2 times, p = 0.034; chemical pollutants alone: 1.9 times, p = 0.008) implying that the effects of these stressors were at minimum additive. Although there was a trend for decreasing frequencies of multiple congenital malformations during the 2000–2017 period in areas of combined pollution, the opposite was true for regions with radioactive or chemical pollutants alone. However, overall, our models suggest that the frequency of multiple congenital malformations in areas of combined pollution will significantly (p = 0.027) exceed the frequencies observed for regions containing radioactive or chemical pollutants alone by 39.6% and 45.7% respectively, by 2018–2023. CONCLUSION: These findings suggest additive and potentially synergistic effects of radioactive and chemical pollutants on the frequencies of multiple congenital malformations in the Bryansk region of southwestern Russia. Elsevier 2020-08-17 /pmc/articles/PMC7452506/ /pubmed/32885067 http://dx.doi.org/10.1016/j.heliyon.2020.e04616 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Korsakov, Anton V.
Geger, Emilia V.
Lagerev, Dmitry G.
Pugach, Leonid I.
Mousseau, Timothy A.
De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title_full De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title_fullStr De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title_full_unstemmed De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title_short De novo congenital malformation frequencies in children from the Bryansk region following the Chernobyl disaster (2000–2017)
title_sort de novo congenital malformation frequencies in children from the bryansk region following the chernobyl disaster (2000–2017)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452506/
https://www.ncbi.nlm.nih.gov/pubmed/32885067
http://dx.doi.org/10.1016/j.heliyon.2020.e04616
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