Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109697
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dc.contributorMainland Development Office-
dc.creatorLi, X-
dc.creatorYu, B-
dc.creatorLi, Y-
dc.creatorMeng, H-
dc.creatorShen, M-
dc.creatorYang, Y-
dc.creatorZhou, Z-
dc.creatorLiu, S-
dc.creatorTian, Y-
dc.creatorXing, X-
dc.creatorYin, L-
dc.date.accessioned2024-11-08T06:11:23Z-
dc.date.available2024-11-08T06:11:23Z-
dc.identifier.issn2047-2978-
dc.identifier.urihttp://hdl.handle.net/10397/109697-
dc.language.isoenen_US
dc.publisherThe University of Edinburgh * Global Health Societyen_US
dc.rights© 2023 The Author(s)en_US
dc.rightsThis open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/legalcode)en_US
dc.rightsThe following publication Li X, Yu B, Li Y, Meng H, Shen M, Yang Y, Zhou Z, Liu S, Tian Y, Xing X, Yin L. The impact of ambient air pollution on hospital admissions, length of stay and hospital costs for patients with diabetes mellitus and comorbid respiratory diseases in Panzhihua, Southwest China. J Glob Health 2023;13:04118 is available at https://doi.org/10.7189/jogh.13.04118.en_US
dc.titleThe impact of ambient air pollution on hospital admissions, length of stay and hospital costs for patients with diabetes mellitus and comorbid respiratory diseases in Panzhihua, Southwest Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13-
dc.identifier.doi10.7189/jogh.13.04118-
dcterms.abstractBackground: There is limited evidence on association between air pollutants and hospital admissions, hospital cost and length of stay (LOS) among patients with diabetes mellitus (DM) and comorbid respiratory diseases (RD), especially in low- and middle-income countries (LMICs) with low levels of air pollution.-
dcterms.abstractMethods: Daily data on RD-DM patients were collected in Panzhihua from 2016 to 2020. A generalised additive model (GAM) was used to explore the effect of air pollutants on daily hospital admissions, LOS and hospital cost. Attributable risk was employed to estimate RD-DM’s burden due to exceeding air pollution exposure, using both 0 microgrammes per cubic metre (μg/m3) and WHO’s 2021 air quality guidelines as reference.-
dcterms.abstractResults: For each 10 ug/m3 increase of particles with an aerodynamic diameter <2.5 micron (μm) (PM2.5), particles with an aerodynamic diameter <10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3), the admissions of RD-DM patients increased by 7.25% (95% CI = 4.26 to 10.33), 5.59% (95% CI = 3.79 to 7.42), 10.10% (95% CI = 7.29 to 12.98), 12.33% (95% CI = 8.82 to 15.95) and -2.99% (95% CI = -4.08 to -1.90); per 1 milligramme per cubic metre (mg/m3) increase of carbon monoxide (CO) corresponded to a 25.77% (95% CI = 17.88 to 34.19) increment for admissions of RD-DM patients. For LOS and hospital cost, the six air pollutants showed similar effect. Given 0 μg/m3 as the reference, NO2 showed the maximum attributable fraction of 32.68% (95% CI = 25.12 to 39.42%), corresponding to an avoidable burden of 5661 (95% CI = 3611 to 5860) patients with RD-DM.-
dcterms.abstractConclusions: There is an association between PM2.5, PM10, SO2, NO2, and CO with increased hospital admissions, LOS and hospital cost in patients with RD-DM. Disease burden of RD-DM may be improved by formulating policies related to air pollutants exposure reduction, especially in LMICs with low levels of air pollution.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of global health, 2023, v. 13, 04118-
dcterms.isPartOfJournal of global health-
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85175585773-
dc.identifier.pmid37830139-
dc.identifier.eissn2047-2986-
dc.identifier.artn04118-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextScientific Research Project of Panzhihua Central Hospital; Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities’ Association; Sichuan Science and Technology Program; Research Programme of Panzhihua Science and Technology Bureau; Sichuan Province key clinical specialty construction Project, Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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