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Forecasting Cause-Specific Mortality in Korea up to Year 2032

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 maj...

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Autores principales: Yun, Jae-Won, Son, Mia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951545/
https://www.ncbi.nlm.nih.gov/pubmed/27478326
http://dx.doi.org/10.3346/jkms.2016.31.8.1181
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author Yun, Jae-Won
Son, Mia
author_facet Yun, Jae-Won
Son, Mia
author_sort Yun, Jae-Won
collection PubMed
description 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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spelling pubmed-49515452016-08-01 Forecasting Cause-Specific Mortality in Korea up to Year 2032 Yun, Jae-Won Son, Mia J Korean Med Sci Original Article 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. The Korean Academy of Medical Sciences 2016-08 2016-05-30 /pmc/articles/PMC4951545/ /pubmed/27478326 http://dx.doi.org/10.3346/jkms.2016.31.8.1181 Text en © 2016 The Korean Academy of Medical Sciences. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yun, Jae-Won
Son, Mia
Forecasting Cause-Specific Mortality in Korea up to Year 2032
title Forecasting Cause-Specific Mortality in Korea up to Year 2032
title_full Forecasting Cause-Specific Mortality in Korea up to Year 2032
title_fullStr Forecasting Cause-Specific Mortality in Korea up to Year 2032
title_full_unstemmed Forecasting Cause-Specific Mortality in Korea up to Year 2032
title_short Forecasting Cause-Specific Mortality in Korea up to Year 2032
title_sort forecasting cause-specific mortality in korea up to year 2032
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951545/
https://www.ncbi.nlm.nih.gov/pubmed/27478326
http://dx.doi.org/10.3346/jkms.2016.31.8.1181
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