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Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa

Background/Aim: In sub-Sahara Africa, few studies have investigated the short-term association between hospital admissions and ambient air pollution. Therefore, this study explored the association between multiple air pollutants and hospital admissions in Cape Town, South Africa. Methods: Generalize...

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Autores principales: Adebayo-Ojo, Temitope Christina, Wichmann, Janine, Arowosegbe, Oluwaseyi Olalekan, Probst-Hensch, Nicole, Schindler, Christian, Künzli, Nino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744938/
https://www.ncbi.nlm.nih.gov/pubmed/35010755
http://dx.doi.org/10.3390/ijerph19010495
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author Adebayo-Ojo, Temitope Christina
Wichmann, Janine
Arowosegbe, Oluwaseyi Olalekan
Probst-Hensch, Nicole
Schindler, Christian
Künzli, Nino
author_facet Adebayo-Ojo, Temitope Christina
Wichmann, Janine
Arowosegbe, Oluwaseyi Olalekan
Probst-Hensch, Nicole
Schindler, Christian
Künzli, Nino
author_sort Adebayo-Ojo, Temitope Christina
collection PubMed
description Background/Aim: In sub-Sahara Africa, few studies have investigated the short-term association between hospital admissions and ambient air pollution. Therefore, this study explored the association between multiple air pollutants and hospital admissions in Cape Town, South Africa. Methods: Generalized additive quasi-Poisson models were used within a distributed lag linear modelling framework to estimate the cumulative effects of PM(10), NO(2), and SO(2) up to a lag of 21 days. We further conducted multi-pollutant models and stratified our analysis by age group, sex, and season. Results: The overall relative risk (95% confidence interval (CI)) for PM(10), NO(2), and SO(2) at lag 0–1 for hospital admissions due to respiratory disease (RD) were 1.9% (0.5–3.2%), 2.3% (0.6–4%), and 1.1% (−0.2–2.4%), respectively. For cardiovascular disease (CVD), these values were 2.1% (0.6–3.5%), 1% (−0.8–2.8%), and −0.3% (−1.6–1.1%), respectively, per inter-quartile range increase of 12 µg/m(3) for PM(10), 7.3 µg/m(3) for NO(2), and 3.6 µg/m(3) for SO(2). The overall cumulative risks for RD per IQR increase in PM(10) and NO(2) for children were 2% (0.2–3.9%) and 3.1% (0.7–5.6%), respectively. Conclusion: We found robust associations of daily respiratory disease hospital admissions with daily PM(10) and NO(2) concentrations. Associations were strongest among children and warm season for RD.
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spelling pubmed-87449382022-01-11 Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa Adebayo-Ojo, Temitope Christina Wichmann, Janine Arowosegbe, Oluwaseyi Olalekan Probst-Hensch, Nicole Schindler, Christian Künzli, Nino Int J Environ Res Public Health Article Background/Aim: In sub-Sahara Africa, few studies have investigated the short-term association between hospital admissions and ambient air pollution. Therefore, this study explored the association between multiple air pollutants and hospital admissions in Cape Town, South Africa. Methods: Generalized additive quasi-Poisson models were used within a distributed lag linear modelling framework to estimate the cumulative effects of PM(10), NO(2), and SO(2) up to a lag of 21 days. We further conducted multi-pollutant models and stratified our analysis by age group, sex, and season. Results: The overall relative risk (95% confidence interval (CI)) for PM(10), NO(2), and SO(2) at lag 0–1 for hospital admissions due to respiratory disease (RD) were 1.9% (0.5–3.2%), 2.3% (0.6–4%), and 1.1% (−0.2–2.4%), respectively. For cardiovascular disease (CVD), these values were 2.1% (0.6–3.5%), 1% (−0.8–2.8%), and −0.3% (−1.6–1.1%), respectively, per inter-quartile range increase of 12 µg/m(3) for PM(10), 7.3 µg/m(3) for NO(2), and 3.6 µg/m(3) for SO(2). The overall cumulative risks for RD per IQR increase in PM(10) and NO(2) for children were 2% (0.2–3.9%) and 3.1% (0.7–5.6%), respectively. Conclusion: We found robust associations of daily respiratory disease hospital admissions with daily PM(10) and NO(2) concentrations. Associations were strongest among children and warm season for RD. MDPI 2022-01-03 /pmc/articles/PMC8744938/ /pubmed/35010755 http://dx.doi.org/10.3390/ijerph19010495 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Adebayo-Ojo, Temitope Christina
Wichmann, Janine
Arowosegbe, Oluwaseyi Olalekan
Probst-Hensch, Nicole
Schindler, Christian
Künzli, Nino
Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title_full Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title_fullStr Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title_full_unstemmed Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title_short Short-Term Joint Effects of PM(10), NO(2) and SO(2) on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
title_sort short-term joint effects of pm(10), no(2) and so(2) on cardio-respiratory disease hospital admissions in cape town, south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744938/
https://www.ncbi.nlm.nih.gov/pubmed/35010755
http://dx.doi.org/10.3390/ijerph19010495
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