Evidence map›Paper›PMID 25622031›Full record

ArticlePloS one2015

Age- and sex-specific relationships between household income, education, and diabetes mellitus in Korean adults: the Korea National Health and Nutrition Examination Survey, 2008-2010.

So-Ra Kim, Kyungdo Han, Jin-Young Choi, Jennifer Ersek, Junxiu Liu, Sun-Jin Jo, Kang-Sook Lee, Hyeon Woo Yim, Won-Chul Lee, Yong Gyu Park and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  13. Effects of risk factors for and components of metabolic syndrome on the quality of life of patients with systemic lupus erythematosus: a structural equation modeling approach.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
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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

12 authors at 3 institutions in 2 countries.

So-Ra KimGraduate School of Public Health, The Catholic University of Korea, Seoul, Korea.
Kyungdo HanDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea; Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jin-Young ChoiCatholic Medical Center, The Catholic University of Korea, Seoul, Korea.
Jennifer ErsekDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, The University of South Carolina, Columbia, South Carolina, United States of America.
Junxiu LiuDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, The University of South Carolina, Columbia, South Carolina, United States of America.
Sun-Jin JoDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Kang-Sook LeeGraduate School of Public Health, The Catholic University of Korea, Seoul, Korea; Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Hyeon Woo YimGraduate School of Public Health, The Catholic University of Korea, Seoul, Korea; Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Won-Chul LeeGraduate School of Public Health, The Catholic University of Korea, Seoul, Korea; Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong Gyu ParkDepartment of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Seung-Hwan LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St.Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong-Moon ParkGraduate School of Public Health, The Catholic University of Korea, Seoul, Korea; Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea; Department of Epidemiology and Biostatistics, Arnold School of Public Health, The University of South Carolina, Columbia, South Carolina, United States of America.
Catholic University of Korea · KRUniversity of South Carolina · USThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the effects of age and sex on the relationship between socioeconomic status (SES) and the prevalence and control status of diabetes mellitus (DM) in Korean adults.

methodsData came from 16,175 adults (6,951 men and 9,227 women) over the age of 30 who participated in the 2008-2010 Korea National Health and Nutrition Examination Survey. SES was measured by household income or education level. The adjusted odds ratios (ORs) and corresponding 95% confidence intervals (95% CI) for the prevalence or control status of diabetes were calculated using multiple logistic regression analyses across household income quartiles and education levels.

resultsThe household income-DM and education level-DM relationships were significant in younger age groups for both men and women. The adjusted ORs and 95% CI for diabetes were 1.51 (0.97, 2.34) and 2.28 (1.29, 4.02) for the lowest vs. highest quartiles of household income and education level, respectively, in women younger than 65 years of age (both P for linear trend < 0.05 with Bonferroni adjustment). The adjusted OR and 95% CI for diabetes was 2.28 (1.53, 3.39) for the lowest vs. highest quartile of household income in men younger than 65 (P for linear trend < 0.05 with Bonferroni adjustment). However, in men and women older than 65, no associations were found between SES and the prevalence of DM. No significant association between SES and the status of glycemic control was detected.

conclusionsWe found age- and sex-specific differences in the relationship of household income and education with the prevalence of DM in Korea. DM preventive care is needed for groups with a low SES, particularly in young or middle-aged populations.

Indexed as

AdultAgedAge DistributionCross-Sectional StudiesDiabetes MellitusEducational StatusFemaleGlycated HemoglobinHumansIncomeMaleMiddle AgedNutrition SurveysOdds RatioPrevalenceRepublic of KoreaGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID25622031
PMCPMC4306546
OpenAlexW2089101124

What OpenQuestion holds

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LicenceCC BY
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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.