Evidence map›Paper›PMID 34649391›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2021

Measuring the Burden of Disease in Korea, 2008-2018.

Yoon-Sun Jung, Young-Eun Kim, Hyesook Park, In-Hwan Oh, Min-Woo Jo, Minsu Ock, Dun-Sol Go, Seok-Jun Yoon

Open access · goldAbstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. One cancer, two stories: divergent estimates of gastric cancer burden in Korea.Archives of public health = Archives belges de sante publique · 2026
    Article
  2. Measuring Trends in Disability-adjusted Life Years and Life Expectancy in Korea: 2008 to 2021.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Yoon-Sun JungDepartment of Public Health, Graduate School, Korea University, Seoul, Korea.
Young-Eun KimDepartment of Big Data Strategy, National Health Insurance Service, Wonju, Korea.
Hyesook ParkDepartment of Preventive Medicine, Graduate Program in System Health Science and Engineering, Ewha Womans University College of Medicine, Seoul, Korea.
In-Hwan OhDepartment of Preventive Medicine, Kyung Hee University College of Medicine, Seoul, Korea.
Min-Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.
Minsu OckDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.
Dun-Sol GoDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong, Korea.
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
Korea University · KRUlsan College · KREwha Womans University · KRKorea Institute for Health and Social Affairs · KRKyung Hee University · KRNational Health Insurance Service · KR

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare HI18C0446
6 · The paper itself

Abstract

The study aims to examine the current status and differences in the burden of disease in Korea during 2008-2018. We calculated the burden of disease for Koreans from 2008 to 2018 using an incidence-based approach. Disability adjusted life years (DALYs) were expressed in units per 100 000 population by adding years of life lost (YLLs) and years lived with disability (YLDs). DALY calculation results were presented by gender, age group, disease, region, and income level. To explore differences in DALYs by region and income level, we used administrative district and insurance premium information from the National Health Insurance Service claims data. The burden of disease among Koreans showed an increasing trend from 2008 to 2018. By 2017, the burden of disease among men was higher than that among women. Diabetes mellitus, low back pain, and chronic lower respiratory disease were ranked high in the burden of disease; the sum of DALY rates for these diseases accounted for 18.4% of the total burden of disease among Koreans in 2018. The top leading causes associated with a high burden of disease differed slightly according to gender, age group, and income level. In this study, we measured the health status of Koreans and differences in the population health level according to gender, age group, region, and income level. This data can be used as an indicator of health equity, and the results derived from this study can be used to guide community-centered (or customized) health promotion policies and projects, and for setting national health policy goals.

Indexed as

Cost of IllnessPersons with DisabilitiesFemaleHumansLife ExpectancyMaleQuality-Adjusted Life YearsRepublic of KoreaBurden of diseaseHealth equityHealth policyHealth statusKorea

Identifiers

PMID34649391
PMCPMC8517373
OpenAlexW3204891736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.