Short-term joint effects of PM10, NO2 and SO2 on cardio-respiratory disease hospital admissions in Cape Town, South Africa

dc.contributor.authorAdebayo-Ojo, Temitope Christina
dc.contributor.authorWichmann, Janine
dc.contributor.authorArowosegbe, Oluwaseyi Olalekan
dc.contributor.authorProbst-Hensch, Nicole
dc.contributor.authorSchindler, Christian
dc.contributor.authorKuenzli, Nino
dc.date.accessioned2022-12-13T13:11:51Z
dc.date.available2022-12-13T13:11:51Z
dc.date.issued2022-01-03
dc.descriptionDATA AVAILABILITY STATEMENT : Exposure data are available for download on the South African Air Quality Information System (SAAQIS) https://saaqis.environment.gov.za/; (accessed on 22 April 2019) however, restrictions apply to the health outcome data.en_US
dc.descriptionSUPPLEMENTARY MATERIAL : This document describes the air pollution data by station for each year and outlines the imputation analysis. In addition, it tabulates the estimates for age groups, sex, and season per interquartile range and 10 µg/m3.en_US
dc.description.abstractBACKGROUND/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 PM10, NO2 , and SO2 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 PM10, NO2 , and SO2 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/m3 for PM10, 7.3 µg/m3 for NO2 , and 3.6 µg/m3 for SO2 . The overall cumulative risks for RD per IQR increase in PM10 and NO2 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 PM10 and NO2 concentrations. Associations were strongest among children and warm season for RD.en_US
dc.description.departmentSchool of Health Systems and Public Health (SHSPH)en_US
dc.description.urihttps://www.mdpi.com/journal/ijerphen_US
dc.identifier.citationAdebayo-Ojo, T.C.; Wichmann, J.; Arowosegbe, O.O.; Probst-Hensch, N.; Schindler, C.; Künzli, N. Short-Term Joint Effects of PM10, NO2 and SO2 on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa. International Journal of Environmental Research and Public Health 2022, 19, 495. https://doi.org/10.3390/ijerph19010495.en_US
dc.identifier.issn1660-4601 (online)
dc.identifier.issn1661-7827 (print)
dc.identifier.other10.3390/ijerph19010495
dc.identifier.urihttps://repository.up.ac.za/handle/2263/88769
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2022 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 (https:// creativecommons.org/licenses/by/ 4.0/).en_US
dc.subjectCape Townen_US
dc.subjectAmbient air pollutionen_US
dc.subjectRespiratory diseaseen_US
dc.subjectMulti pollutanten_US
dc.subjectShort termen_US
dc.subjectDistributed lag non-linear model (DLNM)en_US
dc.subjectTime-series analysisen_US
dc.subjectSouth Africa (SA)en_US
dc.subjectCardiovascular disease (CVD)en_US
dc.titleShort-term joint effects of PM10, NO2 and SO2 on cardio-respiratory disease hospital admissions in Cape Town, South Africaen_US
dc.typeArticleen_US

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