Evidence map›Paper›PMID 30887061›Full record

ArticleInternational journal of public health2019

Quantifying the impact of reducing socioeconomic inequalities in modifiable risk factors on mortality and mortality inequalities in South Korea.

Hwa-Kyung Lim, Young-Ho Khang

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hwa-Kyung LimInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.
Young-Ho KhangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea. yhkhang@snu.ac.kr.

Funding

Korea Health Industry Development Institute HI18C0446National Health Insurance Service NHIS-2017-2-368National Research Foundation NRF-2014R1A2A1A11051392National Research Foundation NRF-2017R1A2A2A05069746
6 · The paper itself

Abstract

objectivesWe quantified the impact of reducing socioeconomic inequalities in risk factors on mortality and mortality inequalities in South Korea.

methodsThe mortality risk function from the 12-year mortality follow-up data of the National Health Insurance Service-National Health Screening Cohort, the prevalence of major risk factors from the Korea National Health and Nutrition Examination Survey 2013-2015, and the Health Plan 2020 (HP2020) goals for major risk factors were used to estimate the magnitude of reduction in mortality inequalities by changing the magnitude of income-based inequalities in risk factors in various scenarios under gender-specific models among participants aged 40-79 years.

resultsThe greatest reduction in absolute and relative inequalities in mortality would occur if the low-income group achieved the HP2020 goals earlier than the high-income group. A 10-20% reduction in all-cause mortality inequalities was expected if absolute gaps between income groups in risk factors were halved.

conclusionsWith the practical goal halving the socioeconomic gaps in modifiable risk factors, reducing inequalities in all-cause mortality by 10-20% would be possible. Further reduction in mortality inequalities would need more aggressive policies on social determinants of health.

Indexed as

Health Status DisparitiesAdultAgedAged, 80 and overCause of DeathCohort StudiesFemaleForecastingHumansMaleMiddle AgedPopulation SurveillanceRepublic of KoreaRisk FactorsSocioeconomic FactorsHealth planInequalitiesMortalityRisk factorsSocioeconomic status

Identifiers

What OpenQuestion holds

Textmetadata
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.