Evidence map›Paper›PMID 35535376›Full record

ArticleJournal of Korean medical science2022

Comparison of the Prevalence of Cardiometabolic Disorders and Comorbidities in Korea and the United States: Analysis of the National Health and Nutrition Examination Survey.

Seokyung An, Choonghyun Ahn, Jieun Jang, Juyeon Lee, Daehee Kang, Jong-Koo Lee, Sue K Park

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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

7 authors at 1 institution in 1 country.

Seokyung AnDepartment of Biomedical Science, Seoul National University Graduate School, Seoul, Korea.ORCID 0000-0002-1971-1094
Choonghyun AhnDepartment of Biomedical Science, Seoul National University Graduate School, Seoul, Korea.ORCID 0000-0002-9658-5976
Jieun JangDepartment of Biomedical Science, Seoul National University Graduate School, Seoul, Korea.ORCID 0000-0001-6970-9374
Juyeon LeeDepartment of Biomedical Science, Seoul National University Graduate School, Seoul, Korea.ORCID 0000-0002-5455-8574
Daehee KangDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-4031-5878
Jong-Koo LeeDepartment of Family Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-4833-1178
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-5002-9707
Seoul National University · KR

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare HI16C1127National Genome Research Institute, Korea Center for Disease Control and PreventionSeoul National University Hospital
6 · The paper itself

Abstract

backgroundComparison of the prevalence of cardiometabolic disorders (CMDs) and comorbidities in Korea and the United States (US) can be an important indicator for forecasting future risk of cardiovascular events in Korea. This study aimed to estimate and compare the prevalence of hypertension, diabetes mellitus (DM), dyslipidemia, obesity, and metabolic syndrome (MetS) in Korea and the US.

methodsA total of 15,872 individuals from the US National Health and Nutrition Examination Survey (NHANES) 2003-2014 and 26,492 from the Korea NHANES (KNHANES) 2007-2014 were included. Additionally, 164,339 (139,345 from the Health Examinees-Gem Study and 24,994 from the Cardiovascular Disease Association Study) participants enrolled in the Korea Genome and Epidemiology Study were included to investigate the differences of CMDs between urban and rural regions. To estimate the age-standardized prevalence of CMDs in individuals aged 40-69 years, direct standardization using the World Health Organization standard population was performed.

resultsThe prevalence of CMDs was lower in Korea than the US (hypertension 49.9% vs. 56.8%; DM 13.4% vs. 14.3%; hypercholesterolemia 16.8% vs. 17.8%; obesity 36.2% vs. 38.6%; and MetS 29.4% vs. 36.5%). According to the median survey years, dyslipidemia has become more prevalent in Korea than in the US since 2010. The prevalence of CMDs was greater in rural than that in urban areas in Korea.

conclusionThe prevalence of dyslipidemia in Korea exceeded that of the US after 2010, which was associated with increasing burden of cardiovascular events. The present study suggests that further preventive strategies are needed to mitigate the prevalence of CMDs in Korea.

Indexed as

Diabetes MellitusDyslipidemiasHypertensionMetabolic SyndromeHumansNutrition SurveysObesityPrevalenceRepublic of KoreaRisk FactorsUnited StatesCardiometabolic DisorderEpidemiologyPrevalence

Identifiers

PMID35535376
PMCPMC9091432
OpenAlexW4280634391

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.