Suppr超能文献

量化疾病负担以衡量韩国的人口健康状况。

Quantifying Burden of Disease to Measure Population Health in Korea.

作者信息

Yoon Jihyun, Yoon Seok Jun

机构信息

Department of Public Health, Korea University Graduate School, Seoul, Korea.

Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.

出版信息

J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S101-S107. doi: 10.3346/jkms.2016.31.S2.S101.

Abstract

Quantitative assessments of the health status of a population are essential to make decisions and set priorities in the field of public health. Changing epidemiologic patterns increase the demand for comprehensive estimates of population health across the full health spectrum, including non-communicable diseases and injuries. Burden of disease (BoD) analysis has helped meet this need. With the success of the Global Burden of Disease (GBD) Study, the BoD technique has become predominantly associated with the GBD approach and its methodology using disability-adjusted life year (DALY) has been rapidly disseminated and generally accepted over the last several years. The first Korean BoD study using the DALY metric was presented in 2002. Various BoD studies have since been conducted, but the DALY concept has remained primarily academic and has not yet been actively utilized in the health policy arena. Here, we review the DALY metric and population-based Korean BoD studies using national health data, with the intent of increasing the understanding of their value and their potential role in strengthening future assessments of the Korean population's health status.

摘要

对人群健康状况进行定量评估对于在公共卫生领域做出决策和确定优先事项至关重要。不断变化的流行病学模式增加了对全健康范围内人群健康综合评估的需求,包括非传染性疾病和伤害。疾病负担(BoD)分析有助于满足这一需求。随着全球疾病负担(GBD)研究的成功,BoD技术已主要与GBD方法相关联,其使用伤残调整生命年(DALY)的方法在过去几年中迅速传播并被广泛接受。2002年发表了韩国第一项使用DALY指标的BoD研究。此后进行了各种BoD研究,但DALY概念主要仍停留在学术层面,尚未在卫生政策领域得到积极应用。在此,我们回顾DALY指标以及使用国家卫生数据开展的基于人群的韩国BoD研究,目的是增进对其价值以及在加强未来韩国人群健康状况评估中潜在作用的理解。

相似文献

1
Quantifying Burden of Disease to Measure Population Health in Korea.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S101-S107. doi: 10.3346/jkms.2016.31.S2.S101.
2
Disability-adjusted Life Years for 313 Diseases and Injuries: the 2012 Korean Burden of Disease Study.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S146-S157. doi: 10.3346/jkms.2016.31.S2.S146.
3
The Non-Communicable Disease Burden in Korea: Findings from the 2012 Korean Burden of Disease Study.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S158-S167. doi: 10.3346/jkms.2016.31.S2.S158.
4
Health Performance and Challenges in Korea: a Review of the Global Burden of Disease Study 2013.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S114-S120. doi: 10.3346/jkms.2016.31.S2.S114.
7
Systematic review of foodborne burden of disease studies: quality assessment of data and methodology.
Int J Food Microbiol. 2013 Aug 16;166(1):34-47. doi: 10.1016/j.ijfoodmicro.2013.05.029. Epub 2013 Jun 13.
8
The Korean National Burden of Disease Study: from Evidence to Policy.
J Korean Med Sci. 2018 Nov 9;34(Suppl 1):e89. doi: 10.3346/jkms.2019.34.e89. eCollection 2019 Mar 26.
9
Disability-Adjusted Life Years for Communicable Disease in the Korean Burden of Disease Study 2012.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S178-S183. doi: 10.3346/jkms.2016.31.S2.S178.
10
Burden of Disease Attributable to Smoking in Korea.
Asia Pac J Public Health. 2017 Jan;29(1):47-59. doi: 10.1177/1010539516675696. Epub 2016 Nov 15.

引用本文的文献

1
Burden of disease in Colombian Orinoquia Region, 2017.
F1000Res. 2023 Nov 20;11:1257. doi: 10.12688/f1000research.124503.2. eCollection 2022.
2
Korean National Burden of Disease: The Importance of Diabetes Management.
Diabetes Metab J. 2024 Jul;48(4):518-530. doi: 10.4093/dmj.2024.0087. Epub 2024 Jul 26.
3
Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008-2020).
J Korean Med Sci. 2024 Feb 26;39(7):e67. doi: 10.3346/jkms.2024.39.e67.
4
Predictive value of the Framingham steatosis index for cardiovascular risk: a nationwide population-based cohort study.
Front Cardiovasc Med. 2023 Jul 18;10:1163052. doi: 10.3389/fcvm.2023.1163052. eCollection 2023.
7
Health and Mortality in Korean Healthcare Workers.
J Korean Med Sci. 2022 Jan 17;37(3):e22. doi: 10.3346/jkms.2022.37.e22.
8
Measuring the Burden of Disease in Korea, 2008-2018.
J Prev Med Public Health. 2021 Sep;54(5):293-300. doi: 10.3961/jpmph.21.478. Epub 2021 Sep 30.
10
Estimating Disability-Adjusted Life Years due to Tuberculosis in Korea through to the Year 2040.
Int J Environ Res Public Health. 2020 Aug 17;17(16):5960. doi: 10.3390/ijerph17165960.

本文引用的文献

2
Disability-adjusted Life Years (DALYs) for Mental and Substance Use Disorders in the Korean Burden of Disease Study 2012.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S191-S199. doi: 10.3346/jkms.2016.31.S2.S191.
3
Disability-Adjusted Life Years for Maternal, Neonatal, and Nutritional Disorders in Korea.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S184-S190. doi: 10.3346/jkms.2016.31.S2.S184.
4
The Non-Communicable Disease Burden in Korea: Findings from the 2012 Korean Burden of Disease Study.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S158-S167. doi: 10.3346/jkms.2016.31.S2.S158.
5
Disability-adjusted Life Years for 313 Diseases and Injuries: the 2012 Korean Burden of Disease Study.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S146-S157. doi: 10.3346/jkms.2016.31.S2.S146.
6
Disability Weights Measurement for 228 Causes of Disease in the Korean Burden of Disease Study 2012.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S129-S138. doi: 10.3346/jkms.2016.31.S2.S129.
7
Application of a Modified Garbage Code Algorithm to Estimate Cause-Specific Mortality and Years of Life Lost in Korea.
J Korean Med Sci. 2016 Nov;31 Suppl 2(Suppl 2):S121-S128. doi: 10.3346/jkms.2016.31.S2.S121.
9
Burden of disease attributable to the Hebei Spirit oil spill in Taean, Korea.
BMJ Open. 2013 Sep 20;3(9):e003334. doi: 10.1136/bmjopen-2013-003334.
10
Measuring the global burden of disease.
N Engl J Med. 2013 Aug 1;369(5):448-57. doi: 10.1056/NEJMra1201534.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验