ArticleJournal of Korean medical science2016
Forecasting Cause-Specific Mortality in Korea up to Year 2032.
Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Ascertaining cause-specific emergency department demand using forecast combinations.BMC emergency medicine · 2026Article
- Association of Comorbidity Duration with the Occurrence and Prognosis of Steatotic Liver Disease.Digestive diseases and sciences · 2025Article
- Application of the age-period-cohort model in tuberculosis.Frontiers in public health · 2025Review
- Age-period-cohort analysis of pulmonary tuberculosis reported incidence, China, 2006-2020.Infectious diseases of poverty · 2022Article
- Landscape and predictions of inflammatory bowel disease in China: China will enter the Compounding Prevalence stage around 2030.Frontiers in public health · 2022Article
- Temporal Trends in Notification and Mortality of Tuberculosis in China, 2004-2019: A Joinpoint and Age-Period-Cohort Analysis.International journal of environmental research and public health · 2021Article
- Trends of Cause of Death among Human Immunodeficiency Virus Patients and the Impact of Low CD4 Counts on Diagnosis to Death: a Retrospective Cohort Study.Journal of Korean medical science · 2020Article
- Effect of Ephedrae Herba methanol extract on high-fat diet-induced hyperlipidaemic mice.Pharmaceutical biology · 2019Article
- Trends in Infectious Disease Mortality, South Korea, 1983-2015.Emerging infectious diseases · 2018Article
- Trend forecasting of main groups of causes-of-death in Iran using the Lee-Carter model.Medical journal of the Islamic Republic of Iran · 2018Article
- Effect of methanol extract of Salviae miltiorrhizae Radix in high-fat diet-induced hyperlipidemic mice.Chinese medicine · 2017Article
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2 authors.
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Abstract
Forecasting cause-specific mortality can help estimate the future burden of diseases and provide a clue for preventing diseases. Our objective was to forecast the mortality for causes of death in the future (2013-2032) based on the past trends (1983-2012) in Korea. The death data consisted of 12 major causes of death from 1983 to 2012 and the population data consisted of the observed and estimated populations (1983-2032) in Korea. The modified age-period-cohort model with an R-based program, nordpred software, was used to forecast future mortality. Although the age-standardized rates for the world standard population for both sexes are expected to decrease from 2008-2012 to 2028-2032 (males: -31.4%, females: -32.3%), the crude rates are expected to increase (males: 46.3%, females: 33.4%). The total number of deaths is also estimated to increase (males: 52.7%, females: 41.9%). Additionally, the largest contribution to the overall change in deaths was the change in the age structures. Several causes of death are projected to increase in both sexes (cancer, suicide, heart diseases, pneumonia and Alzheimer's disease), while others are projected to decrease (cerebrovascular diseases, liver diseases, diabetes mellitus, traffic accidents, chronic lower respiratory diseases, and pulmonary tuberculosis). Cancer is expected to be the highest cause of death for both the 2008-2012 and 2028-2032 time periods in Korea. To reduce the disease burden, projections of the future cause-specific mortality should be used as fundamental data for developing public health policies.
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