Evidence map›Paper›PMID 32785128›Full record

ArticleInternational journal of environmental research and public health2020

Subnational Burden of Disease According to the Sociodemographic Index in South Korea.

Dun-Sol Go, Young-Eun Kim, Seok-Jun Yoon

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Dun-Sol GoDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong 30147, Korea.
Young-Eun KimBig Data Department, National Health Insurance Service, Wonju 26464, Korea.
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul 02841, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sociodemographic index (SDI), a composite index per capita income, educational attainment, and total fertility rate in a country, can indicate whether the country's burden of disease varies depending upon its level of socioeconomic development. This study identified the subnational SDI and disease burden of South Korea based on the country's overall SDI, using national representative data. The burden of disease was measured using disability-adjusted life years (DALY) with an incidence-based approach. We used National Health Insurance Services claims data to estimate the years lived with disability (YLD) and cause-of-death statistics to estimate the years of life lost (YLL). Indicators of subnational SDI were also extracted. The Korean subnational SDIs for 250 regions were correlated with YLL, YLD, and DALY for the year 2016. The correlation between SDI and YLL was stronger in big cities than in medium areas and small areas. Moreover, the higher the SDI, the higher the coefficient. The SDI should be used as a standard for interpreting and comparing regions' disease burden at the subnational level.

Indexed as

Cost of IllnessMortality, PrematurePersons with DisabilitiesAdolescentAdultCross-Sectional StudiesFemaleHumansLife ExpectancyQuality-Adjusted Life YearsRepublic of KoreaYoung Adultburden of diseasedisability-adjusted life yearspopulation healthsocial determinants of healthsociodemographic indexSouth Korea

Identifiers

PMID32785128
PMCPMC7460231

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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.