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논문 기본 정보

자료유형
학술저널
저자정보
Ha Yae Won (Department of Public Health, Yonsei University College of Medicine, Seoul, Korea.) Kim Tae Hyun (Department of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, Korea.) Kang Dae Ryong (Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.) Park Ki-Soo (Department of Preventive Medicine and Institute of Medical Sciences, College of Medicine, Gyeongsang National University, Jinju, Korea.) Shin Dong Chun (Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Korea.) Cho Jaelim (Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.) Kim Changsoo (Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.Institute for Environmental Research, Yonsei University College of Medicine, Seoul, Korea.)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.39 No.30
발행연도
2024.8
수록면
1 - 16 (16page)
DOI
10.3346/jkms.2024.39.e218

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초록· 키워드

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Background: 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.

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