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Estimation of Attributable Risk and Direct Medical and Non-Medical Costs of Major Mental Disorders Associated With Air Pollution Exposures Among Children and Adolescents in the Republic of Korea, 2011–2019

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dc.contributor.authorHa Yae Won-
dc.contributor.authorKim Tae Hyun-
dc.contributor.authorKang Dae Ryong-
dc.contributor.authorPark Ki-Soo-
dc.contributor.authorShin Dong Chun-
dc.contributor.authorCho Jaelim-
dc.contributor.authorKim Changsoo-
dc.date.accessioned2024-12-03T01:31:21Z-
dc.date.available2024-12-03T01:31:21Z-
dc.date.issued2024-08-
dc.identifier.issn1011-8934-
dc.identifier.issn1598-6357-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/73568-
dc.description.abstractBackground: Recent studies have reported the burden of attention deficit hyperactivity disorder [ADHD], autism spectrum disorder [ASD], and depressive disorder. Also, there is mounting evidence on the effects of environmental factors, such as ambient air pollution, on these disorders among children and adolescents. However, few studies have evaluated the burden of mental disorders attributable to air pollution exposure in children and adolescents. Methods: We estimated the risk ratios of major mental disorders (ADHD, ASD, and depressive disorder) associated with air pollutants among children and adolescents using time-series data (2011–2019) obtained from a nationwide air pollution monitoring network and healthcare utilization claims data in the Republic of Korea. Based on the estimated risk ratios, we determined the population attributable fraction (PAF) and calculated the medical costs of major mental disorders attributable to air pollution. Results: A total of 33,598 patients were diagnosed with major mental disorders during 9 years. The PAFs for all the major mental disorders were estimated at 6.9% (particulate matter < 10 μm [PM10]), 3.7% (PM2.5), and 2.2% (sulfur dioxide [SO2]). The PAF of PM10 was highest for depressive disorder (9.2%), followed by ASD (8.4%) and ADHD (5.2%). The direct medical costs of all major mental disorders attributable to PM10 and SO2 decreased during the study period. Conclusion: This study assessed the burden of major mental disorders attributable to air pollution exposure in children and adolescents. We found that PM10, PM2.5, and SO2 attributed 7%, 4%, and 2% respectively, to the risk of major mental disorders among children and adolescents.-
dc.format.extent16-
dc.language영어-
dc.language.isoENG-
dc.publisher대한의학회-
dc.titleEstimation of Attributable Risk and Direct Medical and Non-Medical Costs of Major Mental Disorders Associated With Air Pollution Exposures Among Children and Adolescents in the Republic of Korea, 2011–2019-
dc.title.alternativeEstimation of Attributable Risk and Direct Medical and Non-Medical Costs of Major Mental Disorders Associated With Air Pollution Exposures Among Children and Adolescents in the Republic of Korea, 2011–2019-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3346/jkms.2024.39.e218-
dc.identifier.scopusid2-s2.0-85200828205-
dc.identifier.wosid001285595000001-
dc.identifier.bibliographicCitationJournal of Korean Medical Science, v.39, no.30, pp 1 - 16-
dc.citation.titleJournal of Korean Medical Science-
dc.citation.volume39-
dc.citation.number30-
dc.citation.startPage1-
dc.citation.endPage16-
dc.type.docTypeArticle-
dc.identifier.kciidART003105867-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaGeneral & Internal Medicine-
dc.relation.journalWebOfScienceCategoryMedicine, General & Internal-
dc.subject.keywordPlusPARTICULATE MATTER POLLUTION-
dc.subject.keywordPlusTIME-SERIES-
dc.subject.keywordPlusHOSPITAL ADMISSIONS-
dc.subject.keywordPlusAUTISM-
dc.subject.keywordPlusFINE-
dc.subject.keywordAuthorAir Pollution-
dc.subject.keywordAuthorPM10-
dc.subject.keywordAuthorPM2.5-
dc.subject.keywordAuthorSO2-
dc.subject.keywordAuthorMental Disorders-
dc.subject.keywordAuthorBurden-
dc.subject.keywordAuthorChildren-
dc.subject.keywordAuthorAdolescents-
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