Evidence map›Paper›PMID 28515188›Full record

ArticleBMJ open2017

Trends in socioeconomic inequalities in five major risk factors for cardiovascular disease in the Korean population: a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey, 2001-2014.

Yoon Jung Kim, Ji Sung Lee, Juri Park, Dong Seop Choi, Doo Man Kim, Kee-Hyoung Lee, Ho Yeon Kim, Sin Gon Kim, Juneyoung Lee

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019
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  20. Trends in Incidence and Case Fatality Rates of Heart Disease and Its Subtypes in Korea, 2006-2015.International journal of environmental research and public health · 2020
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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

9 authors at 3 institutions in 1 country.

Yoon Jung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Hangang Sacred Heart Hospital, Hallym University Medical Center, Seoul, Republic of Korea.
Ji Sung LeeClinical Research Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Juri ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University Medical Center, Seoul, Republic of Korea.
Dong Seop ChoiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Doo Man KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University Medical Center, Seoul, Republic ok Korea.
Kee-Hyoung LeeDepartment of Pediatrics, Korea University College of Medicine, Seoul, Republic of Korea.
Ho Yeon KimDepartment of Obstetrics and Gynecology, Inha University Hospital, Incheon, Republic of Korea.
Sin Gon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Juneyoung LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea.
Korea University · KRUlsan College · KRHallym University Hangang Sacred Heart Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine trends in socioeconomic inequalities in major cardiovascular disease (CVD) risk factors among the Korean population.

designCross-sectional study.

settingA nationally representative population survey database.

participantsA total of 42 725 Koreans, aged 25-64 years, who participated in the Korean National Health and Nutrition Examination Survey (KNHANES) II (2001) to VI (2013-2014).

main outcome measuresTrends in socioeconomic inequalities in five major CVD risk factors (smoking, obesity, diabetes, hypertension and hypercholesterolaemia).

resultsGender differences were noted in the time trends in socioeconomic inequalities in smoking, obesity, diabetes and hypertension. Among men, low socioeconomic status (SES) was associated with higher prevalence of smoking, but not with obesity, diabetes or hypertension. The magnitudes of socioeconomic inequalities in smoking, obesity and diabetes remained unchanged, and the magnitude of the inequality in hypertension decreased over time. However, among women, low SES was associated with higher prevalence of smoking, obesity, diabetes and hypertension. Time trends towards increasing socioeconomic inequalities, measured by income, in smoking, obesity and diabetes were found in women. Unlike the other CVD risk factors, hypercholesterolaemia was not associated with socioeconomic inequality.

conclusionsSES had a stronger impact on major CVD risk factors among Korean women than men. Moreover, socioeconomic inequalities in smoking, obesity and diabetes worsened among Korean women over time. Public policies to prevent smoking, obesity and diabetes in women with lower SES are needed to address inequalities.

Indexed as

Health Status DisparitiesSocial ClassAdultCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusFemaleHumansHypercholesterolemiaHypertensionIncomeLinear ModelsLogistic ModelsMaleMiddle AgedNutrition Surveyscardiovascular diseasecardiovascular disease risk factorshealth inequalitytrend

Identifiers

PMID28515188
PMCPMC5623416
OpenAlexW2614262799

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.