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Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis

Background: Air pollutants cause endocrine disorders and hormone disruption. The relationship between air pollutants and polycystic ovary syndrome (PCOS) must be carefully investigated using a nationwide cohort. Methods: Data were extracted from two nationwide databases, namely Longitudinal Health I...

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Autores principales: Lin, Shih-Yi, Yang, Yu-Cih, Chang, Cherry Yin-Yi, Lin, Cheng-Chieh, Hsu, Wu-Huei, Ju, Shu-Woei, Hsu, Chung-Y., Kao, Chia-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926786/
https://www.ncbi.nlm.nih.gov/pubmed/31801197
http://dx.doi.org/10.3390/ijerph16234816
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author Lin, Shih-Yi
Yang, Yu-Cih
Chang, Cherry Yin-Yi
Lin, Cheng-Chieh
Hsu, Wu-Huei
Ju, Shu-Woei
Hsu, Chung-Y.
Kao, Chia-Hung
author_facet Lin, Shih-Yi
Yang, Yu-Cih
Chang, Cherry Yin-Yi
Lin, Cheng-Chieh
Hsu, Wu-Huei
Ju, Shu-Woei
Hsu, Chung-Y.
Kao, Chia-Hung
author_sort Lin, Shih-Yi
collection PubMed
description Background: Air pollutants cause endocrine disorders and hormone disruption. The relationship between air pollutants and polycystic ovary syndrome (PCOS) must be carefully investigated using a nationwide cohort. Methods: Data were extracted from two nationwide databases, namely Longitudinal Health Insurance Database and Taiwan Air Quality Monitoring Database, and analyzed. The study considered a range of data that began on 1 January 2000 and ended on 31 December 2013. Women diagnosed with PCOS were excluded. From the residential data, the study assessed the daily concentrations of sulfur dioxide (SO(2)), nitrogen oxides (NOx), nitrogen monoxide (NO), nitrogen dioxide (NO(2)), and PM(2.5) the women were exposed to. A Cox proportional hazard regression model was applied to assess PCOS risk. Results: In total, 91,803 women were enrolled in this study; of those women, 2072 developed PCOS after 12 years of follow-up. The mean daily concentrations of SO(2), NOx, NO, NO(2), and PM(2.5) women were exposed to were 4.25 (±1.44) ppb, 20.41 (±6.65) ppb, 9.25 (±4.36) ppb, 20.99 (±3.33) ppb, and 30.85 (±6.16) μg/m(3), respectively. Compared with the first-quartile levels of exposure, the fourth-quartile levels of exposure to SO(2), NOx, NO, NO(2), and PM(2.5) increased PCOS risk by 10.31 times (95% CI = 8.35–12.7), 3.37 times (95% CI = 2.86–3.96), 4.18 times (95% CI = 3.57–4.89), 7.46 times (95% CI = 6.38–8.71), and 3.56 times (95% CI = 3.05–4.15), respectively. Conclusion: Women exposed to a high concentrations of air pollutants, namely SO(2), NO, NO(2), NOx, and PM(2.5), had a high PCOS risk.
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spelling pubmed-69267862019-12-23 Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis Lin, Shih-Yi Yang, Yu-Cih Chang, Cherry Yin-Yi Lin, Cheng-Chieh Hsu, Wu-Huei Ju, Shu-Woei Hsu, Chung-Y. Kao, Chia-Hung Int J Environ Res Public Health Article Background: Air pollutants cause endocrine disorders and hormone disruption. The relationship between air pollutants and polycystic ovary syndrome (PCOS) must be carefully investigated using a nationwide cohort. Methods: Data were extracted from two nationwide databases, namely Longitudinal Health Insurance Database and Taiwan Air Quality Monitoring Database, and analyzed. The study considered a range of data that began on 1 January 2000 and ended on 31 December 2013. Women diagnosed with PCOS were excluded. From the residential data, the study assessed the daily concentrations of sulfur dioxide (SO(2)), nitrogen oxides (NOx), nitrogen monoxide (NO), nitrogen dioxide (NO(2)), and PM(2.5) the women were exposed to. A Cox proportional hazard regression model was applied to assess PCOS risk. Results: In total, 91,803 women were enrolled in this study; of those women, 2072 developed PCOS after 12 years of follow-up. The mean daily concentrations of SO(2), NOx, NO, NO(2), and PM(2.5) women were exposed to were 4.25 (±1.44) ppb, 20.41 (±6.65) ppb, 9.25 (±4.36) ppb, 20.99 (±3.33) ppb, and 30.85 (±6.16) μg/m(3), respectively. Compared with the first-quartile levels of exposure, the fourth-quartile levels of exposure to SO(2), NOx, NO, NO(2), and PM(2.5) increased PCOS risk by 10.31 times (95% CI = 8.35–12.7), 3.37 times (95% CI = 2.86–3.96), 4.18 times (95% CI = 3.57–4.89), 7.46 times (95% CI = 6.38–8.71), and 3.56 times (95% CI = 3.05–4.15), respectively. Conclusion: Women exposed to a high concentrations of air pollutants, namely SO(2), NO, NO(2), NOx, and PM(2.5), had a high PCOS risk. MDPI 2019-11-30 2019-12 /pmc/articles/PMC6926786/ /pubmed/31801197 http://dx.doi.org/10.3390/ijerph16234816 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Shih-Yi
Yang, Yu-Cih
Chang, Cherry Yin-Yi
Lin, Cheng-Chieh
Hsu, Wu-Huei
Ju, Shu-Woei
Hsu, Chung-Y.
Kao, Chia-Hung
Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title_full Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title_fullStr Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title_full_unstemmed Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title_short Risk of Polycystic Ovary Syndrome in Women Exposed to Fine Air Pollutants and Acidic Gases: A Nationwide Cohort Analysis
title_sort risk of polycystic ovary syndrome in women exposed to fine air pollutants and acidic gases: a nationwide cohort analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926786/
https://www.ncbi.nlm.nih.gov/pubmed/31801197
http://dx.doi.org/10.3390/ijerph16234816
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