Air pollution exposure may increase the demand for emergency healthcare services, particularly in South-East Asia, where the burden of air-pollution-related health impacts is high. This article aims to investigate the association between air quality and emergency hospital admissions in Singapore. Quasi-Poisson regression was applied with a distributed lag non-linear model (DLNM) to assess the short-term associations between air quality variations and all-cause, emergency admissions from a major hospital in Singapore, between 2009 and 2017. Higher concentrations of SO, PM, PM, NO, and CO were positively associated with an increased risk of (i) all-cause, (ii) cardiovascular-related, and (iii) respiratory-related emergency admissions over 7 days. O concentration increases were associated with a non-linear decrease in emergency admissions. Females experienced a higher risk of emergency admissions associated with PM, PM, and CO exposure, and a lower risk of admissions with NO exposure, compared to males. The older adults (≥65 years) experienced a higher risk of emergency admissions associated with SO and O exposure compared to the non-elderly group. We found significant positive associations between respiratory disease- and cardiovascular disease-related emergency hospital admissions and ambient SO, PM, PM, NO, and CO concentrations. Age and gender were identified as effect modifiers of all-cause admissions.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603816PMC
http://dx.doi.org/10.3390/ijerph192013336DOI Listing

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