Background: Cancer is a leading cause of death worldwide, posing a significant threat to human health and life expectancy. Numerous existing studies explored the correlation between coal-fired power plants and cancer development. Currently, Chungcheongnam-do Province hosts 29 coal-fired power plants, constituting half of the total 58 plants across South Korea. Methods: This study assessed the cancer incidence by proximity to coal-fired power plants in Chungcheongnam-do Province, Korea. In this study, the exposed group comprised individuals residing within a 2-km radius of the coal-fired power plants, whereas the control group comprised individuals who had no prior residency within the 2-km radius of such plants or elsewhere in the province. Standardized incidence ratios were calculated using the cancer incidence cases retrieved from the National Health Insurance System data from 2007 to 2017. Results: The study found that exposed men had a 1.11 (95% confidence interval [CI], 1.09-1.21) times higher risk of developing all cancer types and a 1.15 (95% CI, 1.09-1.22) times higher risk of developing cancers excluding thyroid cancer compared with control men. Exposed women had a 1.05 (95% CI, 1.00-1.14) times higher risk of developing all cancer types and a 1.06 (95% CI, 0.98-1.13) times higher risk of developing cancers excluding thyroid cancer than did control women. The colorectal, liver, prostate, and bladder cancer incidence rates were significantly higher in exposed men than that in all control groups. The incidence of esophageal, stomach, liver, and lung cancers were significantly higher in exposed women compared with all control groups. Conclusion: The residents near coal-fired power plants had a higher risk of developing cancer than did those living in other areas. In the future, long-term follow-up investigations in residents living in the vicinity of power plants are warranted.
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Sungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Huh, Kyungmin
Kim, Young-Eun
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Natl Hlth Insurance Serv, Dept Big Data Strategy, 32 Geongang Ro, Wonju 26464, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Kim, Young-Eun
Radnaabaatar, Munkhzul
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Gachon Univ, Artificial Intelligence & Big Data Convergence Ct, Gil Med Ctr, Coll Med, Incheon, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Radnaabaatar, Munkhzul
Lee, Dae Ho
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Gachon Univ, Gil Med Ctr, Dept Internal Med, Coll Med, Incheon, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Lee, Dae Ho
Kim, Dong Wook
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Natl Hlth Insurance Serv, Dept Big Data Strategy, 32 Geongang Ro, Wonju 26464, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Kim, Dong Wook
Shin, Soon-Ae
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Natl Hlth Insurance Serv, Dept Big Data Strategy, 32 Geongang Ro, Wonju 26464, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
Shin, Soon-Ae
Jung, Jaehun
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Gachon Univ, Artificial Intelligence & Big Data Convergence Ct, Gil Med Ctr, Coll Med, Incheon, South Korea
Gachon Univ, Dept Prevent Med, Coll Med, 38 Dokjeom Ro 3 Beon Gil, Incheon 21565, South KoreaSungkyunkwan Univ, Samsung Med Ctr, Dept Med, Div Infect Dis,Sch Med, Seoul, South Korea
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North China Elect Power Univ, Dept Econ & Management, Baoding, Hebei, Peoples R ChinaNorth China Elect Power Univ, Dept Econ & Management, Baoding, Hebei, Peoples R China
Wang, Xiping
Du, Lei
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North China Elect Power Univ, Dept Econ & Management, Baoding, Hebei, Peoples R ChinaNorth China Elect Power Univ, Dept Econ & Management, Baoding, Hebei, Peoples R China