Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions
Abstract Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause‐specific ED admissions from 2014 to 2018 across 12 categories. Ge...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2024-09-01
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| Series: | GeoHealth |
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| Online Access: | https://doi.org/10.1029/2024GH001061 |
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| author | Pranav Tewari Baihui Xu Ma Pei Kelvin Bryan Tan John Abisheganaden Steve Hung‐Lam Yim Borame Lee Dickens Jue Tao Lim |
| author_facet | Pranav Tewari Baihui Xu Ma Pei Kelvin Bryan Tan John Abisheganaden Steve Hung‐Lam Yim Borame Lee Dickens Jue Tao Lim |
| author_sort | Pranav Tewari |
| collection | DOAJ |
| description | Abstract Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause‐specific ED admissions from 2014 to 2018 across 12 categories. Generalized additive models were used to assess non‐linear associations for each exposure, yielding Incidence Rate Ratios (IRR), while the population attributable fraction (PAF) calculated each exposure's contribution to cause‐specific ED admissions. IRRs revealed increased risks of ED admissions for respiratory infections (IRR: 1.06, 95% CI: 1.01–1.11) and infectious and parasitic diseases (IRR: 1.09, 95% CI: 1.03–1.15) during increased rainfall (13.21–16.97 mm). Wind speeds >12.73 km/hr corresponded to increased risks of ED admissions for respiratory infections (IRR: 1.12, 95% CI: 1.03–1.21) and oral diseases (IRR: 1.58, 95% CI: 1.31–1.91). Higher concentrations of air pollutants were associated with elevated risks of cardiovascular disease (IRR: 1.16, 95% CI: 1.05–1.27 for PM10) and respiratory infection‐related ED admissions (IRR: 2.78, 95% CI: 1.69–4.56 for CO). Wind speeds >12.5 km/hr were predicted to contribute toward 10% of respiratory infection ED admissions, while mean temperatures >28°C corresponded to increases in the PAF up to 5% for genitourinary disorders and digestive diseases. PM10 concentrations >60 μg/m3 were highly attributable toward cardiovascular disease (PAF: 10%), digestive disease (PAF: 15%) and musculoskeletal disease (PAF: 10%) ED admissions. CO concentrations >0.6 ppm were highly attributable to respiratory infections (PAF: 20%) and diabetes mellitus (PAF: 20%) ED admissions. This study underscores protective effects of meteorological variables and deleterious impacts of air pollutant exposures across the ED admission categories considered. |
| format | Article |
| id | doaj-art-1cf8d83de9e34365b9465b1f1b95322a |
| institution | Kabale University |
| issn | 2471-1403 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | GeoHealth |
| spelling | doaj-art-1cf8d83de9e34365b9465b1f1b95322a2024-11-14T08:06:08ZengAmerican Geophysical Union (AGU)GeoHealth2471-14032024-09-0189n/an/a10.1029/2024GH001061Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department AdmissionsPranav Tewari0Baihui Xu1Ma Pei2Kelvin Bryan Tan3John Abisheganaden4Steve Hung‐Lam Yim5Borame Lee Dickens6Jue Tao Lim7Lee Kong Chian School of Medicine Nanyang Technological University Singapore SingaporeLee Kong Chian School of Medicine Nanyang Technological University Singapore SingaporeSaw Swee Hock School of Public Health National University of Singapore Singapore SingaporeMinistry of Health Singapore SingaporeTan Tock Seng Hospital Singapore SingaporeAsian School of the Environment Nanyang Technological University Singapore SingaporeSaw Swee Hock School of Public Health National University of Singapore Singapore SingaporeLee Kong Chian School of Medicine Nanyang Technological University Singapore SingaporeAbstract Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause‐specific ED admissions from 2014 to 2018 across 12 categories. Generalized additive models were used to assess non‐linear associations for each exposure, yielding Incidence Rate Ratios (IRR), while the population attributable fraction (PAF) calculated each exposure's contribution to cause‐specific ED admissions. IRRs revealed increased risks of ED admissions for respiratory infections (IRR: 1.06, 95% CI: 1.01–1.11) and infectious and parasitic diseases (IRR: 1.09, 95% CI: 1.03–1.15) during increased rainfall (13.21–16.97 mm). Wind speeds >12.73 km/hr corresponded to increased risks of ED admissions for respiratory infections (IRR: 1.12, 95% CI: 1.03–1.21) and oral diseases (IRR: 1.58, 95% CI: 1.31–1.91). Higher concentrations of air pollutants were associated with elevated risks of cardiovascular disease (IRR: 1.16, 95% CI: 1.05–1.27 for PM10) and respiratory infection‐related ED admissions (IRR: 2.78, 95% CI: 1.69–4.56 for CO). Wind speeds >12.5 km/hr were predicted to contribute toward 10% of respiratory infection ED admissions, while mean temperatures >28°C corresponded to increases in the PAF up to 5% for genitourinary disorders and digestive diseases. PM10 concentrations >60 μg/m3 were highly attributable toward cardiovascular disease (PAF: 10%), digestive disease (PAF: 15%) and musculoskeletal disease (PAF: 10%) ED admissions. CO concentrations >0.6 ppm were highly attributable to respiratory infections (PAF: 20%) and diabetes mellitus (PAF: 20%) ED admissions. This study underscores protective effects of meteorological variables and deleterious impacts of air pollutant exposures across the ED admission categories considered.https://doi.org/10.1029/2024GH001061non‐linear associationsgeneralized additive modelspopulation attributable fractionSingaporeemergency department admissions |
| spellingShingle | Pranav Tewari Baihui Xu Ma Pei Kelvin Bryan Tan John Abisheganaden Steve Hung‐Lam Yim Borame Lee Dickens Jue Tao Lim Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions GeoHealth non‐linear associations generalized additive models population attributable fraction Singapore emergency department admissions |
| title | Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions |
| title_full | Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions |
| title_fullStr | Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions |
| title_full_unstemmed | Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions |
| title_short | Associations Between Anthropogenic Factors, Meteorological Factors, and Cause‐Specific Emergency Department Admissions |
| title_sort | associations between anthropogenic factors meteorological factors and cause specific emergency department admissions |
| topic | non‐linear associations generalized additive models population attributable fraction Singapore emergency department admissions |
| url | https://doi.org/10.1029/2024GH001061 |
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