title: Forecasting Cause-Specific Mortality in Korea up to Year 2032.
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.
authors.affiliation: Department of Preventive Medicine, School of Medicine, Kangwon National University, Chuncheon, Korea .
authors.forename: Jae-Won
authors.identifier: 0000-0001-8020-7316
authors.initials: JW
authors.lastname: Yun
authors.affiliation: Department of Preventive Medicine, School of Medicine, Kangwon National University, Chuncheon, Korea .
authors.forename: Mia
authors.identifier: 0000-0001-7943-532X
authors.initials: M
authors.lastname: Son
mesh_terms: D000367:Age Factors; D002423:Cause of Death / Q000639:trends*; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D009369:Neoplasms / Q000401:mortality; D056910:Republic of Korea; D012737:Sex Factors
keywords: Cause of Death; Korea; Mortality Forecasting