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Smoking-attributable mortality among Korean adults in 2019
Yeun Soo Yang, Keum Ji Jung, Heejin Kimm, Sunmi Lee, Sun Ha Jee
Epidemiol Health. 2024;46:e2024011.   Published online December 19, 2023
DOI: https://doi.org/10.4178/epih.e2024011
  • 1,687 View
  • 92 Download
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
Tobacco use ranks among the leading preventable causes of death worldwide. This study was conducted to calculate the mortality rate attributable to smoking in Korea for 2019 and to highlight the importance of tracking and monitoring smoking-related deaths for public health purposes.
METHODS
Population attributable risk (PAR) was used to estimate the number of deaths related to smoking in 2019. PAR percentages were applied to the estimated mortality figures for various diseases, with PAR determined based on relative risk (RR). Levin’s formula was used to calculate PAR, and RR was adjusted for age and alcohol consumption using Cox proportional hazards regression model to derive disease-specific regression coefficients. The analysis incorporated previously determined smoking rates from 1985, and use rates of novel tobacco products were not considered.
RESULTS
The findings revealed a total of 67,982 smoking-attributable deaths in Korea in 2019, 56,993 of which occurred in men and 11,049 in women. The PAR of smoking for various causes of death in adult men was highest for lung cancer at 74.9%, followed by pneumonia (29.4%), ischemic heart disease (42.3%), and stroke (30.2%). For women, the PAR for smoking-related death was highest for lung cancer (19.9%), followed by stroke (7.6%), pneumonia (5.7%), and ischemic heart disease (9.1%).
CONCLUSIONS
In countries experiencing rapid fluctuations in smoking rates, including Korea, regular studies on smoking-related mortality is imperative. Furthermore, it is necessary to investigate smoking-related deaths, including the prevalence of novel tobacco product use, to accurately gauge the risks associated with emerging tobacco products.
Summary
Korean summary
이 연구는 2019년 한국에서 흡연으로 인한 사망률을 계산하고 공중 보건 목적을 위한 흡연 관련 사망추적 및 모니터링의 중요성을 강조합니다. 연구 결과, 2019년 한국에서 흡연으로 인해 총 67,982명이 사망했으며, 이 중 남성이 56,993명, 여성이 11,049명이었습니다. 특히 남성의 경우 폐암(74.9%), 여성의 경우 폐암(19.9%)에서 흡연으로 인한 사망 위험이 가장 높게 나타났습니다.
Key Message
This study analyzed deaths attributable to smoking in Korea in 2019, revealing that a total of 67,982 individuals lost their lives due to smoking. Among these, 56,993 were men and 11,049 were women, with the highest smoking-related mortality rate observed in men due to lung cancer at 74.9%, and in women due to lung cancer at 19.9%. Through these findings, this research emphasizes the importance of tracking and monitoring smoking-related deaths for public health.
Prediction of cancer survivors’ mortality risk in Korea: a 25-year nationwide prospective cohort study
Yeun Soo Yang, Heejin Kimm, Keum Ji Jung, Seulji Moon, Sunmi Lee, Sun Ha Jee
Epidemiol Health. 2022;44:e2022075.   Published online September 13, 2022
DOI: https://doi.org/10.4178/epih.e2022075
  • 5,469 View
  • 156 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study aimed to investigate the factors affecting cancer survival and develop a mortality prediction model for Korean cancer survivors. Our study identified lifestyle and mortality risk factors and attempted to determine whether health-promoting lifestyles affect mortality.
METHODS
Among the 1,637,287 participants in the Korean Cancer Prevention Study (KCPS) cohort, 200,834 cancer survivors who were alive after cancer diagnosis were analyzed. Discrimination and calibration for predicting the 10-year mortality risk were evaluated. A prediction model was derived using the Cox model coefficients, mean risk factor values, and mean mortality from the cancer survivors in the KCPS cohort.
RESULTS
During the 21.6-year follow-up, the all-cause mortality rates of cancer survivors were 57.2% and 39.4% in men and women, respectively. Men, older age, current smoking, and a history of diabetes were high-risk factors for mortality, while exercise habits and a family history of cancer were associated with reduced risk. The prediction model discrimination in the validation dataset for both KCPS all-cause mortality and KCPS cancer mortality was shown by C-statistics of 0.69 and 0.68, respectively. Based on the constructed prediction models, when we modified exercise status and smoking status, as modifiable factors, the cancer survivors’ risk of mortality decreased linearly.
CONCLUSIONS
A mortality prediction model for cancer survivors was developed that may be helpful in supporting a healthy life. Lifestyle modifications in cancer survivors may affect their risk of mortality in the future.
Summary
Korean summary
현재 암 생존자의 사망 위험을 평가하는 데 유용한 한국형 암 생존자 사망률 예측 모델은 없습니다. 본 연구에서는 고령, 남성, 현재 흡연, 당뇨병 병력을 포함한 생활양식 요인이 사망의 고위험 요인인 반면, 운동 습관 및 암의 가족력은 사망 위험을 감소시키는 것으로 나타났습니다. 현재 흡연과 운동 습관은 사망 위험에 영향을 미치는 수정 가능한 두 가지 요소로써, 이러한 생활습관 요인으로 구성된 예측모형은 생활습관 교정을 통해 우리나라 암 생존자의 사망률을 낮출 수 있음을 시사합니다.
Key Message
Currently, there is no Korean mortality prediction model for cancer survivors that would be useful in evaluating their risk of mortality. The present study showed that lifestyle factors, including older age, male sex, current smoking, and history of diabetes were high-risk factors for mortality, while exercise habits and a family history of cancer reduced the risk of mortality. Current smoking and exercise habits are the two modifiable factors that affected the risk of mortality. The prediction model comprising these lifestyle factors implies that the risk of mortality of cancer survivors in Korea can be reduced through lifestyle modification.

Citations

Citations to this article as recorded by  
  • COVID-19 Mortality and Severity in Cancer Patients and Cancer Survivors
    Jae-Min Park, Hye Yeon Koo, Jae-ryun Lee, Hyejin Lee, Jin Yong Lee
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Weight maintenance and gain were significantly associated with lower risk of all-cause and cancer-related mortality in Korean adults who were newly diagnosed with cancer based on the Korean NHIS-HEALS cohort
    Yong-June Kim, Seung Park, Won Tae Kim, Yoon-Jong Bae, Yonghwan Kim, Hee-Taik Kang
    Medicine.2023; 102(47): e36184.     CrossRef

Epidemiol Health : Epidemiology and Health