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Increase in fertility following coal and oil power plant retirements in California
BACKGROUND: Few studies have explored the relationship between air pollution and fertility. We used a natural experiment in California when coal and oil power plants retired to estimate associations with nearby fertility rates. METHODS: We used a difference-in-differences negative binomial model on...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932773/ https://www.ncbi.nlm.nih.gov/pubmed/29720194 http://dx.doi.org/10.1186/s12940-018-0388-8 |
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author | Casey, Joan A. Gemmill, Alison Karasek, Deborah Ogburn, Elizabeth L. Goin, Dana E. Morello-Frosch, Rachel |
author_facet | Casey, Joan A. Gemmill, Alison Karasek, Deborah Ogburn, Elizabeth L. Goin, Dana E. Morello-Frosch, Rachel |
author_sort | Casey, Joan A. |
collection | PubMed |
description | BACKGROUND: Few studies have explored the relationship between air pollution and fertility. We used a natural experiment in California when coal and oil power plants retired to estimate associations with nearby fertility rates. METHODS: We used a difference-in-differences negative binomial model on the incident rate ratio scale to analyze the change in annual fertility rates among California mothers living within 0-5 km and 5-10 km of 8 retired power plants between 2001 and 2011. The difference-in-differences method isolates the portion of the pre- versus post-retirement contrast in the 0-5 km and 5-10 km bins, respectively, that is due to retirement rather than secular trends. We controlled for secular trends with mothers living 10-20 km away. Adjusted models included fixed effects for power plant, proportion Hispanic, Black, high school educated, and aged > 30 years mothers, and neighborhood poverty and educational attainment. RESULTS: Analyses included 58,909 live births. In adjusted models, we estimated that after power plant retirement annual fertility rates per 1000 women aged 15–44 years increased by 8 births within 5 km and 2 births within 5-10 km of power plants, corresponding to incident rate ratios of 1.2 (95% CI: 1.1–1.4) and 1.1 (95% CI: 1.0–1.2), respectively. We implemented a negative exposure control by randomly selecting power plants that did not retire and repeating our analysis with those locations using the retirement dates from original 8 power plants. There was no association, suggesting that statewide temporal trends may not account for results. CONCLUSIONS: Fertility rates among nearby populations appeared to increase after coal and oil power plant retirements. Our study design limited the possibility that our findings resulted from temporal trends or changes in population composition. These results require confirmation in other populations, given known methodological limitations of ecologic study designs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-018-0388-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5932773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59327732018-05-09 Increase in fertility following coal and oil power plant retirements in California Casey, Joan A. Gemmill, Alison Karasek, Deborah Ogburn, Elizabeth L. Goin, Dana E. Morello-Frosch, Rachel Environ Health Research BACKGROUND: Few studies have explored the relationship between air pollution and fertility. We used a natural experiment in California when coal and oil power plants retired to estimate associations with nearby fertility rates. METHODS: We used a difference-in-differences negative binomial model on the incident rate ratio scale to analyze the change in annual fertility rates among California mothers living within 0-5 km and 5-10 km of 8 retired power plants between 2001 and 2011. The difference-in-differences method isolates the portion of the pre- versus post-retirement contrast in the 0-5 km and 5-10 km bins, respectively, that is due to retirement rather than secular trends. We controlled for secular trends with mothers living 10-20 km away. Adjusted models included fixed effects for power plant, proportion Hispanic, Black, high school educated, and aged > 30 years mothers, and neighborhood poverty and educational attainment. RESULTS: Analyses included 58,909 live births. In adjusted models, we estimated that after power plant retirement annual fertility rates per 1000 women aged 15–44 years increased by 8 births within 5 km and 2 births within 5-10 km of power plants, corresponding to incident rate ratios of 1.2 (95% CI: 1.1–1.4) and 1.1 (95% CI: 1.0–1.2), respectively. We implemented a negative exposure control by randomly selecting power plants that did not retire and repeating our analysis with those locations using the retirement dates from original 8 power plants. There was no association, suggesting that statewide temporal trends may not account for results. CONCLUSIONS: Fertility rates among nearby populations appeared to increase after coal and oil power plant retirements. Our study design limited the possibility that our findings resulted from temporal trends or changes in population composition. These results require confirmation in other populations, given known methodological limitations of ecologic study designs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-018-0388-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-02 /pmc/articles/PMC5932773/ /pubmed/29720194 http://dx.doi.org/10.1186/s12940-018-0388-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Casey, Joan A. Gemmill, Alison Karasek, Deborah Ogburn, Elizabeth L. Goin, Dana E. Morello-Frosch, Rachel Increase in fertility following coal and oil power plant retirements in California |
title | Increase in fertility following coal and oil power plant retirements in California |
title_full | Increase in fertility following coal and oil power plant retirements in California |
title_fullStr | Increase in fertility following coal and oil power plant retirements in California |
title_full_unstemmed | Increase in fertility following coal and oil power plant retirements in California |
title_short | Increase in fertility following coal and oil power plant retirements in California |
title_sort | increase in fertility following coal and oil power plant retirements in california |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932773/ https://www.ncbi.nlm.nih.gov/pubmed/29720194 http://dx.doi.org/10.1186/s12940-018-0388-8 |
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