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      Projection of the Years of Life Lost, Years Lived with Disability, and ​Disability-Adjusted Life Years in Korea for 2030

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          Abstract

          Background

          Projection of future trends in disease burden can facilitate setting of priorities for health policies and resource allocation. We report here projections of disease-specific mortality and the burdens of various diseases in Korea from 2016 to 2030.

          Methods

          Separate age- and sex-specific projection models for 21 major cause clusters from 2016 to 2030 were developed by applying coherent functional data models based on historical trends from 2002 to 2015. The age- and sex-specific years of life lost (YLL) for each cause cluster were projected based on the projected number of deaths. Years lived with disability (YLD) projections were derived using the 2015 age- and sex-specific YLD to YLL ratio. The disability-adjusted life years (DALYs) was the sum of YLL and YLD.

          Results

          The total number of deaths is projected to increase from 275,777 in 2015 to 421,700 in 2030, while the age-standardized death rate is projected to decrease from 586.9 in 2015 to 447.3 in 2030. The largest number of deaths is projected to be a result of neoplasms (75,758 deaths for males; 44,660 deaths for females), followed by cardiovascular and circulatory diseases (34,795 deaths for males; 48,553 deaths for females). The three leading causes of DALYs for both sexes are projected to be chronic respiratory diseases, musculoskeletal disorders, and other non-communicable diseases (NCDs).

          Conclusion

          We demonstrate that NCDs will continue to account for the majority of the disease burden in Korea in the future.

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          Most cited references8

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          Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study

          The Lancet, 349(9064), 1498-1504
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            Robust forecasting of mortality and fertility rates: A functional data approach

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              Demographic forecasting: 1980 to 2005 in review

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                Author and article information

                Journal
                J Korean Med Sci
                J. Korean Med. Sci
                JKMS
                Journal of Korean Medical Science
                The Korean Academy of Medical Sciences
                1011-8934
                1598-6357
                03 December 2018
                26 March 2019
                : 34
                : Suppl 1
                : e92
                Affiliations
                Department of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
                Author notes
                Address for Correspondence: Hyesook Park, MD, PhD. Department of Preventive Medicine, Ewha Womans University School of Medicine, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul 07985, Korea. hpark@ 123456ewha.ac.kr
                Author information
                https://orcid.org/0000-0001-5834-9975
                https://orcid.org/0000-0002-8538-9662
                https://orcid.org/0000-0002-1669-3177
                https://orcid.org/0000-0002-7698-3424
                https://orcid.org/0000-0002-8826-7644
                https://orcid.org/0000-0002-9950-9362
                https://orcid.org/0000-0002-9359-6522
                Article
                10.3346/jkms.2019.34.e92
                6434152
                0f7c3e04-2a2f-4a34-9bc0-69d92f25dbc1
                © 2019 The Korean Academy of Medical Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://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.

                History
                : 08 July 2018
                : 10 October 2018
                Funding
                Funded by: Ministry of Health and Welfare, CrossRef http://doi.org/10.13039/501100003625;
                Award ID: HI13C0729
                Categories
                Original Article
                Preventive & Social Medicine

                Medicine
                burden of disease,republic of korea,projection,coherent functional data model,time series
                Medicine
                burden of disease, republic of korea, projection, coherent functional data model, time series

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