Evidence map›Paper›PMID 27822930›Full record

ArticleJournal of Korean medical science2016

The Association between Parameters of Socioeconomic Status and Hypertension in Korea: the Korean Genome and Epidemiology Study.

Chan Soon Park, Kyoung Hwa Ha, Hyeon Chang Kim, Sungha Park, Sang Hyun Ihm, Hae Young Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Social determinants of hypertension in high-income countries: A narrative literature review and future directions.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Review
  5. Article
  6. Article
  7. 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

6 authors.

Chan Soon ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0003-1717-6662
Kyoung Hwa HaDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0002-3408-7568
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0001-7867-1240
Sungha ParkDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0000-0001-5362-478X
Sang Hyun IhmDepartment of Internal Medicine, Bucheon St. Mary's Hospital, The Catholic University of Korea, Bucheon, Korea.ORCID http://orcid.org/0000-0001-5017-5421
Hae Young LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea. hylee612@snu.ac.kr.ORCID http://orcid.org/0000-0002-9521-4102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the association between socioeconomic status and hypertension in Korea, a country that has experienced a dynamic socioeconomic transition. We analyzed participants of a prospective cohort study-the Korean Genome and Epidemiology Study-enrolled between 2001 and 2003. We recruited 7,089 subjects who underwent a 4-year follow up till 2007. Education and income levels, which are important parameters for socioeconomic status, were stratified into 4 groups. Education level was defined as short (≤ 6 years), mid-short (7-9 years), mid-long (10-12 years), and long (≥ 12 years). Monthly income level was stratified as low (< 500,000 KRW), mid-low (500,000-1,499,999 KRW), mid-high (1,500,000-2,999,999 KRW) or high (≥ 3,000,000 KRW). At baseline, 2,805 subjects (39.5%) were diagnosed with hypertension. Education and income levels were inversely associated with the prevalence and incidence of hypertension (P < 0.001). In multivariate analysis, a shorter duration of education was significantly associated with a higher prevalence of hypertension (P < 0.001), but income level was not (P = 0.305). During the follow-up, 605 subjects (14.2%) were newly diagnosed with hypertension. In multivariate adjusted analysis, the hazard ratios (95% confidence interval) for incident hypertension across the longer education groups were 0.749 (0.544-1.032), 0.639 (0.462-0.884), and 0.583 (0.387-0.879), compared with the shortest education group. There was no significant association between incident hypertension and income across higher income groups: 0.988 (0.714-1.366), 0.780 (0.542-1.121), and 0.693 (0.454-1.056), compared with the lowest income group. In conclusion, education and income levels are associated with the prevalence and incidence of hypertension, but only education is an independent prognostic factor in Korea.

Indexed as

Genome, HumanAdultAsian PeopleBody Mass IndexEducational StatusFemaleFollow-Up StudiesHumansHypertensionIncomeMaleMiddle AgedMultivariate AnalysisOdds RatioPrevalenceProportional Hazards ModelsEducationHypertensionIncidenceIncomePrevalenceSocial Class

Identifiers

PMID27822930
PMCPMC5102855

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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.