Age-specific effects of ozone on pneumonia in Korean children and adolescents: A nationwide time-series study

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Age-specific effects of ozone on pneumonia in Korean children and adolescents : A nationwide time-series study. / Kim, Kyoung-Nam; Lim, Youn-Hee; Bae, Sanghyuk; Song, In Gyu; Kim, Soontae; Hong, Yun-Chul.

I: Epidemiology and health, Bind 44, e2022002, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kim, K-N, Lim, Y-H, Bae, S, Song, IG, Kim, S & Hong, Y-C 2022, 'Age-specific effects of ozone on pneumonia in Korean children and adolescents: A nationwide time-series study', Epidemiology and health, bind 44, e2022002. https://doi.org/10.4178/epih.e2022002

APA

Kim, K-N., Lim, Y-H., Bae, S., Song, I. G., Kim, S., & Hong, Y-C. (2022). Age-specific effects of ozone on pneumonia in Korean children and adolescents: A nationwide time-series study. Epidemiology and health, 44, [e2022002]. https://doi.org/10.4178/epih.e2022002

Vancouver

Kim K-N, Lim Y-H, Bae S, Song IG, Kim S, Hong Y-C. Age-specific effects of ozone on pneumonia in Korean children and adolescents: A nationwide time-series study. Epidemiology and health. 2022;44. e2022002. https://doi.org/10.4178/epih.e2022002

Author

Kim, Kyoung-Nam ; Lim, Youn-Hee ; Bae, Sanghyuk ; Song, In Gyu ; Kim, Soontae ; Hong, Yun-Chul. / Age-specific effects of ozone on pneumonia in Korean children and adolescents : A nationwide time-series study. I: Epidemiology and health. 2022 ; Bind 44.

Bibtex

@article{ed8e6aebcea442ab87097b4e3d490626,
title = "Age-specific effects of ozone on pneumonia in Korean children and adolescents: A nationwide time-series study",
abstract = "Objectives: To estimate the age-specific effects of 8-hour maximum ozone levels on pneumonia in children and adolescents.Methods: We performed quasi-Poisson regression analyses at 0-4, 5-9, 10-14, and 15-19 years of age using nationwide time-series data from the Republic of Korea (2011-2015). We constructed distributed lag linear models employing a generalized difference-in-differences method and controlling for other air pollutants.Results: A 10.0-ppb increase in 8-hour maximum ozone levels was associated with a higher risk of hospital admissions due to pneumonia at 0-4 (relative risk [RR] = 1.02, 95% confidence interval [CI]: 1.01, 1.03) and 5-9 years of age (RR = 1.06, 95% CI: 1.04, 1.08) but not at 10-14 (RR = 1.01, 95% CI: 0.98, 1.04) or 15-19 years of age (RR = 1.01, 95% CI: 0.97, 1.06). The association between ozone and hospital admissions due to pneumonia was stronger was stronger in cool seasons (from November to April) than in warm seasons (from May to October) but was similar between boys and girls.Conclusion: Short-term exposure to ozone was associated with a higher risk of pneumonia at 0-4 and 5-9 years of age but not at 10-14 or 15-19 years of age. Our findings can help identify vulnerable periods, determine the target populations for public health interventions, and establish air pollution standards.",
author = "Kyoung-Nam Kim and Youn-Hee Lim and Sanghyuk Bae and Song, {In Gyu} and Soontae Kim and Yun-Chul Hong",
year = "2022",
doi = "10.4178/epih.e2022002",
language = "English",
volume = "44",
journal = "Epidemiology and health",
issn = "2092-7193",
publisher = "Korean Society of Epidemiology",

}

RIS

TY - JOUR

T1 - Age-specific effects of ozone on pneumonia in Korean children and adolescents

T2 - A nationwide time-series study

AU - Kim, Kyoung-Nam

AU - Lim, Youn-Hee

AU - Bae, Sanghyuk

AU - Song, In Gyu

AU - Kim, Soontae

AU - Hong, Yun-Chul

PY - 2022

Y1 - 2022

N2 - Objectives: To estimate the age-specific effects of 8-hour maximum ozone levels on pneumonia in children and adolescents.Methods: We performed quasi-Poisson regression analyses at 0-4, 5-9, 10-14, and 15-19 years of age using nationwide time-series data from the Republic of Korea (2011-2015). We constructed distributed lag linear models employing a generalized difference-in-differences method and controlling for other air pollutants.Results: A 10.0-ppb increase in 8-hour maximum ozone levels was associated with a higher risk of hospital admissions due to pneumonia at 0-4 (relative risk [RR] = 1.02, 95% confidence interval [CI]: 1.01, 1.03) and 5-9 years of age (RR = 1.06, 95% CI: 1.04, 1.08) but not at 10-14 (RR = 1.01, 95% CI: 0.98, 1.04) or 15-19 years of age (RR = 1.01, 95% CI: 0.97, 1.06). The association between ozone and hospital admissions due to pneumonia was stronger was stronger in cool seasons (from November to April) than in warm seasons (from May to October) but was similar between boys and girls.Conclusion: Short-term exposure to ozone was associated with a higher risk of pneumonia at 0-4 and 5-9 years of age but not at 10-14 or 15-19 years of age. Our findings can help identify vulnerable periods, determine the target populations for public health interventions, and establish air pollution standards.

AB - Objectives: To estimate the age-specific effects of 8-hour maximum ozone levels on pneumonia in children and adolescents.Methods: We performed quasi-Poisson regression analyses at 0-4, 5-9, 10-14, and 15-19 years of age using nationwide time-series data from the Republic of Korea (2011-2015). We constructed distributed lag linear models employing a generalized difference-in-differences method and controlling for other air pollutants.Results: A 10.0-ppb increase in 8-hour maximum ozone levels was associated with a higher risk of hospital admissions due to pneumonia at 0-4 (relative risk [RR] = 1.02, 95% confidence interval [CI]: 1.01, 1.03) and 5-9 years of age (RR = 1.06, 95% CI: 1.04, 1.08) but not at 10-14 (RR = 1.01, 95% CI: 0.98, 1.04) or 15-19 years of age (RR = 1.01, 95% CI: 0.97, 1.06). The association between ozone and hospital admissions due to pneumonia was stronger was stronger in cool seasons (from November to April) than in warm seasons (from May to October) but was similar between boys and girls.Conclusion: Short-term exposure to ozone was associated with a higher risk of pneumonia at 0-4 and 5-9 years of age but not at 10-14 or 15-19 years of age. Our findings can help identify vulnerable periods, determine the target populations for public health interventions, and establish air pollution standards.

U2 - 10.4178/epih.e2022002

DO - 10.4178/epih.e2022002

M3 - Journal article

C2 - 34990535

VL - 44

JO - Epidemiology and health

JF - Epidemiology and health

SN - 2092-7193

M1 - e2022002

ER -

ID: 290060890