Evidence map›Paper›PMID 38952742›Full record

ArticleSSM - population health2024

An evolution of socioeconomic inequalities in self-rated health in Korea: Evidence from Korea National Health and Nutrition Examination Survey (KNHANES) 1998-2018.

Daseul Moon, Roman Pabayo, Jongnam Hwang

Abstract read
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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

3 citing papers in PubMed.

  1. Article
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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.

Daseul MoonCentre for Labour Health, People's Health Institute, Seoul, South Korea.
Roman PabayoSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.
Jongnam HwangDivision of Social Welfare & Health Administration, Wonkwang University, Iksan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing socioeconomic inequalities in health has become an important health policy agenda. This study aimed to measure socioeconomic inequalities in health in Korea over the past two decades and identify the contributing factors to the observed inequalities. Data from the Korea National Health and Nutrition Examination Survey (KNHANES) from 1998 to 2016/2018 were utilized. The concentration index (CI) was calculated to measure health inequalities, and decomposition analysis was applied to identify and quantify the contributing factors to the observed inequalities in health. The results indicated that health inequalities exist, suggesting that poor health was consistently more concentrated among Korean adults with lower income (1998: -0.154; 2016/2018: -0.152). Gender-stratified analyses also showed that poor health was more concentrated in lower income women and men, with the degree of inequalities slightly more pronounced among women. The decomposition approach revealed that income and educational attainment were the largest contributors to the observed health inequalities as higher income and education associated with better self-rated health. These findings suggest the importance of considering socioeconomic determinants, such as income and education, in efforts to tackling health inequalities, particularly considering that self-rated health is a predictor of future mortality and morbidity. Furthermore, it is essential to implement more egalitarian social, labour market, and health policies in order to eliminate the existing socioeconomic inequalities in health in Korea.

Indexed as

Concentration indexDecomposition analysisHealth inequalitiesKoreaSocioeconomic inequalities

Identifiers

PMID38952742
PMCPMC11215416

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.