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Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis
OBJECTIVES: While the plausible role of ambient particulate matter (PM)(2.5) exposure in tuberculosis (TB) reactivation has been inferred from in vitro experiments, epidemiologic evidence is lacking. We examined the relationship between ambient PM(2.5) concentration and pulmonary TB (PTB) in an inte...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477485/ https://www.ncbi.nlm.nih.gov/pubmed/37674566 http://dx.doi.org/10.1016/j.ijregi.2023.08.001 |
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author | Lau, Leonia Hiu Wan Wong, Ngai Sze Leung, Chi Chiu Chan, Chi Kuen Tai, Lai-bun Lau, Alexis Kai Hon Lin, Changqing Shan Lee, Shui |
author_facet | Lau, Leonia Hiu Wan Wong, Ngai Sze Leung, Chi Chiu Chan, Chi Kuen Tai, Lai-bun Lau, Alexis Kai Hon Lin, Changqing Shan Lee, Shui |
author_sort | Lau, Leonia Hiu Wan |
collection | PubMed |
description | OBJECTIVES: While the plausible role of ambient particulate matter (PM)(2.5) exposure in tuberculosis (TB) reactivation has been inferred from in vitro experiments, epidemiologic evidence is lacking. We examined the relationship between ambient PM(2.5) concentration and pulmonary TB (PTB) in an intermediate TB endemicity city dominated by reactivation diseases. METHODS: Spatio-temporal analyses were performed on TB notification data and satellite-based annual mean PM(2.5) concentration in Hong Kong. A total of 52,623 PTB cases from 2005-2018 were mapped to over 400 subdistrict units. PTB standardized notification ratio by population subgroups (elderly aged ≥65, middle-aged 50-64, and young adults aged 15-49) was calculated and correlated with ambient PM(2.5) concentration. RESULTS: Significant associations were detected between high ambient PM(2.5) concentration and increased PTB among the elderly. Such associations were stable to the adjustment for socio-economic factors and other criteria pollutants. Unstable patterns of association between PM(2.5) and PTB risk were observed in the middle-aged population and young adults, for which the observed associations were confounded by other criteria pollutants. CONCLUSION: With elderly PTB almost exclusively attributable to reactivation, our findings suggested that increased TB reactivations have occurred in association with high ambient PM(2.5) exposure, lending support to preventive measures that minimize PM(2.5)-related TB reactivation. |
format | Online Article Text |
id | pubmed-10477485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104774852023-09-06 Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis Lau, Leonia Hiu Wan Wong, Ngai Sze Leung, Chi Chiu Chan, Chi Kuen Tai, Lai-bun Lau, Alexis Kai Hon Lin, Changqing Shan Lee, Shui IJID Reg Original Report OBJECTIVES: While the plausible role of ambient particulate matter (PM)(2.5) exposure in tuberculosis (TB) reactivation has been inferred from in vitro experiments, epidemiologic evidence is lacking. We examined the relationship between ambient PM(2.5) concentration and pulmonary TB (PTB) in an intermediate TB endemicity city dominated by reactivation diseases. METHODS: Spatio-temporal analyses were performed on TB notification data and satellite-based annual mean PM(2.5) concentration in Hong Kong. A total of 52,623 PTB cases from 2005-2018 were mapped to over 400 subdistrict units. PTB standardized notification ratio by population subgroups (elderly aged ≥65, middle-aged 50-64, and young adults aged 15-49) was calculated and correlated with ambient PM(2.5) concentration. RESULTS: Significant associations were detected between high ambient PM(2.5) concentration and increased PTB among the elderly. Such associations were stable to the adjustment for socio-economic factors and other criteria pollutants. Unstable patterns of association between PM(2.5) and PTB risk were observed in the middle-aged population and young adults, for which the observed associations were confounded by other criteria pollutants. CONCLUSION: With elderly PTB almost exclusively attributable to reactivation, our findings suggested that increased TB reactivations have occurred in association with high ambient PM(2.5) exposure, lending support to preventive measures that minimize PM(2.5)-related TB reactivation. Elsevier 2023-08-10 /pmc/articles/PMC10477485/ /pubmed/37674566 http://dx.doi.org/10.1016/j.ijregi.2023.08.001 Text en © 2023 The Authors https://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 | Original Report Lau, Leonia Hiu Wan Wong, Ngai Sze Leung, Chi Chiu Chan, Chi Kuen Tai, Lai-bun Lau, Alexis Kai Hon Lin, Changqing Shan Lee, Shui Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title | Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title_full | Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title_fullStr | Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title_full_unstemmed | Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title_short | Association of ambient PM(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
title_sort | association of ambient pm(2.5) concentration with tuberculosis reactivation diseases—an integrated spatio-temporal analysis |
topic | Original Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477485/ https://www.ncbi.nlm.nih.gov/pubmed/37674566 http://dx.doi.org/10.1016/j.ijregi.2023.08.001 |
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