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Preventable cancer cases and deaths attributable to tobacco smoking in Korea from 2015 to 2030
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Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong, Sangjun Lee, Woojin Lim, Kyungsik Kim, Daehee Kang, Keun-Young Yoo, Sohee Park, Jeong-Soo Im, Hong Gwan Seo, Hai-Rim Shin, Kwang-Pil Ko, Sue K. Park
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Epidemiol Health. 2025;e2025008. Published online February 27, 2025
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DOI: https://doi.org/10.4178/epih.e2025008
[Accepted]
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Abstract
OBJECTIVES Tobacco smoking is a major public health concern worldwide. This study aimed to assess its impact on cancer incidence and mortality by estimating the population attributable fraction (PAF) in the Korean population for 2015 and 2020 and by projecting future trends until 2030.
METHODS The Korean relative risk (RR) was calculated via a meta–analysis of RRs for individual cancers attributed to tobacco smoking, based on primary data analysis from the Korean Cohort Consortium. The PAF was estimated using the Levin formula with past and current prevalence rates and the number of cancer cases and deaths, assuming a 15–year latency period.
RESULTS The proportions of cancer cases and deaths in Korea attributable to tobacco smoking were similar to those calculated using Asian and global RRs for both men and women. In 2015 and 2020, tobacco smoking contributed to 14.32% and 13.17% of cancer cases and 21.70% and 20.69% of cancer deaths in adults, respectively. Among Koreans, smoking was responsible for 25.83% of new cancer cases in men in 2015, 23.49% in men in 2020, 1.46% in women in 2015, and 1.68% in women in 2020. In both years, smoking impacted mortality more strongly than incidence in Korean men and women (incidence in men: 25.83% and 23.49%; mortality in men: 32.09% and 30.41%; incidence in women: 1.46% and 1.68%; and mortality in women: 4.70% and 4.96%, respectively).
CONCLUSIONS Tobacco smoking causes cancers and deaths in Korea, however, it is preventable. Effective control policies that consider trends and vulnerabilities among women are required.
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Summary
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Preventable cancer cases and deaths attributable to alcohol consumption in Korea from 2015 to 2030
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Soseul Sung, Jihye An, Jeehi Jung, Hyeon Sook Lee, Sungji Moon, Inah Kim, Jung Eun Lee, Aesun Shin, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Youjin Hong, Sangjun Lee, Woojin Lim, Kyungsik Kim, Sohee Park, Jeong-Soo Im, Hong Gwan Seo, Kwang-Pil Ko, Sue K. Park
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Epidemiol Health. 2025;e2025009. Published online February 27, 2025
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DOI: https://doi.org/10.4178/epih.e2025009
[Accepted]
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Abstract
OBJECTIVES Alcohol consumption is causally linked to several cancers, and major health organizations classify it as a carcinogen. This study assessed the impact of alcohol consumption on cancer incidence and mortality in Korea in 2015 and 2020, projected trends up to 2030, and compared results based on different criteria.
METHODS The relative risk of cancer associated with alcohol consumption in Korea was determined through a meta–analysis of alcohol–related relative risks for specific cancers, using primary data from the Korean Cohort Study within the Korean Cohort Consortium. The population–attributable fraction (PAF) was calculated using Levin's formula, incorporating drinking prevalence and the number of cancer cases and deaths, with a 15–year latency period assumed.
RESULTS In Korea, the PAF for alcohol consumption, based on ever/never drinking criteria, was higher than that calculated using other criteria, except for the PAF based on past and current/never drinking criteria. Alcohol consumption contributed to 3.58% of all cancer cases and 3.28% of cancer deaths in 2015. It accounted for 4.58% of new cancer cases in men and 2.08% in women, with a higher contribution to incidence than mortality (4.00% and 2.25% of cancer deaths in men and women, respectively). Projections indicate that alcohol–related cancer PAF will decrease by 17.2% in men but increase by 70.2% in women by 2030.
CONCLUSIONS This study highlights the impact of alcohol consumption on cancer in Korea, emphasizing the need for sex–specific regulations to address sex differences.
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Preventable cancer cases and deaths attributable to deficit of physical activity in Korea from 2015 to 2030
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Soseul Sung, Sungji Moon, Jihye An, Jeehi Jung, Hyeon Sook Lee, Youjin Hong, Sangjun Lee, Woojin Lim, Kyungsik Kim, Inah Kim, Jung Eun Lee, Sun Ha Jee, Aesun Shin, Ji-Yeob Choi, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Jeong-Soo Im, Hong Gwan Seo, Sohee Park, Kwang-Pil Ko, Sue K. Park
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Epidemiol Health. 2025;e2025010. Published online February 27, 2025
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DOI: https://doi.org/10.4178/epih.e2025010
[Accepted]
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Abstract
OBJECTIVES This study aimed to determine the population–attributable fractions (PAFs) of cancers using various calculation methods and to estimate the PAFs of cancer incidence and mortality resulting from deficit in physical activity (DPA) from 2015 to 2030, based on data on prevalence rates.
METHODS The PAF of cancer was estimated using a cohort study–based meta–analysis of relative risk (RR), national prevalence rates of DPA from 2000 to 2015, and national cancer statistics from 2015 to 2030, with a latency of 15 years.
RESULTS In 2015, DPA contributed to 909 cancer cases and 548 deaths, accounting for 0.42% and 0.68% of new cancer cases and deaths, respectively. By 2030, the PAF values are expected to increase to 1.31% of incidence and 1.80% of mortality, with a continual increase from 2015 to 2030. When the low metabolic equivalent of task (MET) criteria were selected, the PAF values decreased for both incidence and mortality. The PAF calculated with <900 MET–min/week for the sex–specific MET criterion was higher than that calculated with <900 MET–min/week for both incidence and mortality.
CONCLUSIONS The risk of cancer associated with DPA is expected to rise in both men and women. Future research and strategies should emphasize the promotion of physical activity for cancer prevention, considering its significant implications for public health.
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The age-standardized incidence, mortality, and case fatality rates of COVID-19 in 79 countries: a cross-sectional comparison and their correlations with associated factors
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Dongui Hong, Sohyae Lee, Yoon-Jung Choi, Sungji Moon, Yoonyoung Jang, Yoon-Min Cho, Hyojung Lee, Sukhong Min, Hyeree Park, Seokyung Hahn, Ji-Yeob Choi, Aesun Shin, Daehee Kang
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Epidemiol Health. 2021;43:e2021061. Published online September 8, 2021
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DOI: https://doi.org/10.4178/epih.e2021061
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Abstract
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Abstract
OBJECTIVES During the coronavirus disease 2019 (COVID-19) pandemic, crude incidence and mortality rates have been widely reported; however, age-standardized rates are more suitable for comparisons. In this study, we estimated and compared the age-standardized incidence, mortality, and case fatality rates (CFRs) among countries and investigated the relationship between these rates and factors associated with healthcare resources: gross domestic product per capita, number of hospital beds per population, and number of doctors per population.
METHODS The incidence, mortality, and CFRs of 79 countries were age-standardized using the World Health Organization standard population. The rates for persons 60 years or older were also calculated. The relationships among the rates were analysed using trend lines and coefficients of determination (R<sup>2</sup>). Pearson correlation coefficients between the rates and the healthcare resource-related factors were calculated.
RESULTS The countries with the highest age-standardized incidence, mortality, and CFRs were Czechia (14,253 cases/100,000), Mexico (182 deaths/100,000), and Mexico (6.7%), respectively. The R<sup>2</sup> between the incidence and mortality rates was 0.852 for all ages and 0.945 for those 60 years or older. The healthcare resources-related factors were associated positively with incidence rates and negatively with CFRs, with weaker correlations among the elderly.
CONCLUSIONS Compared to age-standardized rates, crude rates showed greater variation among countries. Medical resources may be important in preventing COVID-19-related deaths; however, considering the small variation in fatality among the elderly, preventive measures such as vaccination are more important, especially for the elderly population, to minimize the mortality rates.
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Summary
Korean summary
국가별 발생률, 사망률, 치명률을 WHO 표준 인구로 연령표준화하였고, 의료자원과 관계된 지표와의 상관관계를 파악하였다. 2021년 4월 6일 기준, 연령표준화 발생률, 사망률, 치명률이 가장 높은 나라는 각각 체코 (10만명당 14,253명), 멕시코 (10만명당 182명), 멕시코 (6.7%)이며, 60세 이상 노인은 사망률과 치명률이 더 높은 것으로 나타났다. 1인당GDP, 인구당 의사 수, 인구당 병상 수는 발생률과 양의 상관관계가, 치명률과는 음의 상관관계가 있었고 노인에게서는 상관관계가 약하게 나타났다. 코로나바이러스감염증-19로 인한 피해를 최소화하기 위해서 의료자원의 투입과 더불어 노인의 감염예방이 중요할 것이다.
Key Message
The incidence, mortality, and case fatality rates of 79 countries were age-standardized using the WHO standard population. The correlations between the rates and the healthcare resource-related factors were investigated. As of April 6, 2021, the countries with the highest age-standardized incidence, mortality, and case fatality rates were Czechia (14,253 cases/100,000), Mexico (182 deaths/100,000), and Mexico (6.7%), respectively; the mortality and case fatality rates were higher among the elderly. GDP per capita, number of hospital beds per population, and number of doctors per population were associated positively with incidence rate, and negatively with case fatality rates: the correlations were weaker among the elderly. To minimize the burden caused by COVID-19, preventing the elderly from infection is important as well as supply of medical resources.
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Citations
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Iván de Jesús Ascencio-Montiel, Oscar David Ovalle-Luna, Ramón Alberto Rascón-Pacheco, Victor Hugo Borja-Aburto, Gerardo Chowell BMC Infectious Diseases.2022;[Epub] CrossRef - Global burden of calcific aortic valve disease and attributable risk factors from 1990 to 2019
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