Evidence map›Paper›PMID 20398324›Full record

ArticleBMC public health2010

Socioeconomic disparities in behavioral risk factors and health outcomes by gender in the Republic of Korea.

Hak-Ju Kim, Jennifer Prah Ruger

Abstract read
In one paragraph

Article in BMC public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Socioeconomic Classes among Oldest-Old Women in South Korea: A Latent Class Analysis.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015
    Article
  15. Gender differences in hypertension control among older korean adults: Korean social life, health, and aging project.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2015
    Article
  16. Article
  17. Socio-economic inequalities in cause-specific mortality: a 16-year follow-up study.Canadian journal of public health = Revue canadienne de sante publique · 2013
    Article
  18. Sleep symptoms, race/ethnicity, and socioeconomic position.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2013
    Article
  19. Article
  20. Review
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.

Hak-Ju KimDongguk University, Department of Social Welfare, Seoul, Republic of Korea.
Jennifer Prah Ruger

Funding

Economic Evaluation of Addiction ServicesK01DA016358 · NIDA · YALE UNIVERSITY · PI RUGER, JENNIFER PRAH · 2003 to 2007
$717k
NIDA NIH HHS K01DA016358
6 · The paper itself

Abstract

backgroundFew studies have examined socioeconomic disparities in health and behavioral risk factors by gender in Asian countries and in South Korea, specifically. We investigated the relationship between socioeconomic position (education, income, and occupation) and subjective and acute and chronic health outcomes and behavioral risk factors by gender, and compared results from 1998 and 2005, in the Republic of Korea.

methodsWe examined data from a nationally representative stratified random sample of 4213 men and 4618 women from the 1998 Korea National Health and Nutrition Examination Survey, and 8289 men and 8827 women from the 2005 Korea National Health and Nutrition Examination Survey using General Linear Modeling and multiple logistic regression methods.

resultsControlling for behavioral risk factors (smoking, drinking, obesity, exercise, and sleep), those in lower socioeconomic positions had poorer health outcomes in both self-reported acute and chronic disease and subjective measures; differences were especially pronounced among women. A socioeconomic gradient for education and income was found for both men and women for morbidity and self-reported health status, but the gradient was more pronounced in women. In 1998, the odds ratios (ORs) of higher morbidity for illiterate vs. college educated females was 5.4:1 and 1.9:1 for females in the lowest income quintile vs. the highest. The OR for education decreased in 2005 to 2.9:1 and that for income quintiles remained the same at 1.9:1. The OR of lower self-reported health status for illiterate vs. college educated females was 2.9:1 and 1.6:1 for females in the lowest income quintile vs. the highest in 1998, and 3.3:1 and 2.3:1 in 2005.

conclusionsAmong Korean adults, men and women in lower socioeconomic position, as denoted by education, income, and somewhat less by occupation, experience significantly higher levels of morbidity and lower self-reported health status, even after controlling for standard behavioral risk factors. Disparities were more pronounced for women than for men. Efforts to reduce health disparities in South Korea require attention to the root causes of socioeconomic inequality and gender differences in the impact of socioeconomic position on health.

Indexed as

Health BehaviorHealthcare DisparitiesRisk-TakingAdultAlcohol DrinkingExerciseFemaleHealth Status IndicatorsHumansMaleMiddle AgedObesityOccupationsOutcome Assessment, Health CareRepublic of KoreaRisk Factors

Identifiers

PMID20398324
PMCPMC2867999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.