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Health effects of air pollution on length of respiratory cancer survival
BACKGROUND: Air pollution has been extensively and consistently linked with mortality. However, no study has investigated the health effects of air pollution on length of survival among diagnosed respiratory cancer patients. METHODS: In this study, we conducted a population-based study to investigat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766670/ https://www.ncbi.nlm.nih.gov/pubmed/24004483 http://dx.doi.org/10.1186/1471-2458-13-800 |
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author | Xu, Xiaohui Ha, Sandie Kan, Haidong Hu, Hui Curbow, Barbara A Lissaker, Claudia TK |
author_facet | Xu, Xiaohui Ha, Sandie Kan, Haidong Hu, Hui Curbow, Barbara A Lissaker, Claudia TK |
author_sort | Xu, Xiaohui |
collection | PubMed |
description | BACKGROUND: Air pollution has been extensively and consistently linked with mortality. However, no study has investigated the health effects of air pollution on length of survival among diagnosed respiratory cancer patients. METHODS: In this study, we conducted a population-based study to investigate if air pollution exposure has adverse effects on survival time of respiratory cancer cases in Los Angeles (LA), CA and Honolulu, HI. We selected all White respiratory cancer patients in the two study areas from the 1992–2008 Surveillance Epidemiology and End Results cancer data. Death from respiratory cancer and length of survival were the main outcomes. RESULTS: Kaplan-Meier survival analysis shows that all respiratory cancer cases exposed to high air pollution referring to the individuals from LA had a significantly shorter survival time than the low pollution exposure group referring to those from Honolulu without adjusting for other covariates (p <0.0001). Moreover, the results from the Cox Proportional-Hazards models suggest that exposure to particles less than 10 micrometers in diameter (PM(10)) was associated with an increased risk of cancer death (HR = 1.48, 95% CI: 1.44-1.52 per 10 μg/m(3) increase in PM(10)) after adjusting for demographic factors and cancer characteristics. Similar results were observed for particles less than 2.5 micrometers in diameter and ozone. CONCLUSION: Our study indicates that air pollution may have deleterious effects on the length of survival among White respiratory cancer patients. This study calls for attention to preventive effort from air pollution for this susceptible population in standard cancer patient care. The findings from this study warrant further investigation. |
format | Online Article Text |
id | pubmed-3766670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37666702013-09-09 Health effects of air pollution on length of respiratory cancer survival Xu, Xiaohui Ha, Sandie Kan, Haidong Hu, Hui Curbow, Barbara A Lissaker, Claudia TK BMC Public Health Research Article BACKGROUND: Air pollution has been extensively and consistently linked with mortality. However, no study has investigated the health effects of air pollution on length of survival among diagnosed respiratory cancer patients. METHODS: In this study, we conducted a population-based study to investigate if air pollution exposure has adverse effects on survival time of respiratory cancer cases in Los Angeles (LA), CA and Honolulu, HI. We selected all White respiratory cancer patients in the two study areas from the 1992–2008 Surveillance Epidemiology and End Results cancer data. Death from respiratory cancer and length of survival were the main outcomes. RESULTS: Kaplan-Meier survival analysis shows that all respiratory cancer cases exposed to high air pollution referring to the individuals from LA had a significantly shorter survival time than the low pollution exposure group referring to those from Honolulu without adjusting for other covariates (p <0.0001). Moreover, the results from the Cox Proportional-Hazards models suggest that exposure to particles less than 10 micrometers in diameter (PM(10)) was associated with an increased risk of cancer death (HR = 1.48, 95% CI: 1.44-1.52 per 10 μg/m(3) increase in PM(10)) after adjusting for demographic factors and cancer characteristics. Similar results were observed for particles less than 2.5 micrometers in diameter and ozone. CONCLUSION: Our study indicates that air pollution may have deleterious effects on the length of survival among White respiratory cancer patients. This study calls for attention to preventive effort from air pollution for this susceptible population in standard cancer patient care. The findings from this study warrant further investigation. BioMed Central 2013-09-03 /pmc/articles/PMC3766670/ /pubmed/24004483 http://dx.doi.org/10.1186/1471-2458-13-800 Text en Copyright © 2013 Xu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xu, Xiaohui Ha, Sandie Kan, Haidong Hu, Hui Curbow, Barbara A Lissaker, Claudia TK Health effects of air pollution on length of respiratory cancer survival |
title | Health effects of air pollution on length of respiratory cancer survival |
title_full | Health effects of air pollution on length of respiratory cancer survival |
title_fullStr | Health effects of air pollution on length of respiratory cancer survival |
title_full_unstemmed | Health effects of air pollution on length of respiratory cancer survival |
title_short | Health effects of air pollution on length of respiratory cancer survival |
title_sort | health effects of air pollution on length of respiratory cancer survival |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766670/ https://www.ncbi.nlm.nih.gov/pubmed/24004483 http://dx.doi.org/10.1186/1471-2458-13-800 |
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