Evidence map›Paper›PMID 41398785›Full record

ArticleMedicine2025

Cross-national comparison of metabolic syndrome prevalence and related medication use in South Korea and the United States, 2007-2020: Evidence from KHANES and NHANES.

Hajung Joo, Eunchae Lee, Juyeong Kim, Seohyun Hong, Jinyoung Jeong, Jaehyun Kong, Yoon Lee, Hyunjee Kim, Lee Smith, Ho Geol Woo and 1 more

Abstract readComparative Study
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Hajung JooCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Eunchae LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Juyeong KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Seohyun HongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jinyoung JeongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Jaehyun KongCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Yoon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Hyunjee KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
Lee SmithCentre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Ho Geol WooDepartment of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-1628-9948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is a major risk factor for cardiovascular disease and type 2 diabetes, yet comparative studies between countries are limited. Thus, we aim to compare trends in MetS prevalence, medication use, and component control in South Korea and the US. We analyzed data from the Korea National Health and Nutrition Examination Survey and the National Health and Nutrition Examination Survey from 2007 to 2020 for nonpregnant adults. MetS was defined by the National Cholesterol Education Program Adult Treatment Panel III criteria. Use of MetS-related medications was defined as the use of antihypertensive, antidiabetic, and lipid-lowering agents. The weighted prevalence with 95% confidence interval (CI) of MetS, its components, and their control among individuals on corresponding medications was analyzed, and adjusted odds ratios for component control by sociodemographic factors were estimated using weighted multivariable logistic regression. A total of 74,714 participants aged ≥20 years from Korea National Health and Nutrition Examination Survey (male, 43.59%) and 14,036 from National Health and Nutrition Examination Survey (male, 44.12%) were included in the analysis. MetS prevalence was higher in South Korea (18.47% [95% confidence interval, 18.09-18.85]) than in the United States (6.03% [5.54-6.53]). Among the components of MetS, low serum high-density lipoprotein cholesterol was the most prevalent in South Korea (35.04% [34.57-35.51]), whereas large waist circumference was most common in the United States (48.62% [47.05-50.20]). High prevalence of MetS was associated with older age, obesity, lower income, and nondrinkers in both populations. From 2007 to 2020, antidiabetic use declined in South Korea and increased in the United States, while antihypertensive and lipid-lowering agent use increased in both countries. Among medication users, MetS-related control rates were consistently lower in South Korea compared to the US: fasting glucose (12.76% [10.50-15.03] vs 56.07% [51.15-60.98]), triglycerides (64.39% [63.02-65.77] vs 87.87% [85.90-89.84]), and blood pressure (45.77% [44.72-46.82] vs 55.69% [53.13-58.25]). Significant differences exist in the MetS prevalence, pharmacologic treatment patterns, and control outcomes between South Korea and the US. Targeted strategies tailored to each country-specific context are needed to improve metabolic health.

Indexed as

Metabolic SyndromeAdultAgedAntihypertensive AgentsCross-Sectional StudiesFemaleHumansHypoglycemic AgentsHypolipidemic AgentsMaleMiddle AgedNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsUnited StatesAntihypertensive AgentsHypoglycemic AgentsHypolipidemic Agentscross-national studyepidemiologymetabolic syndromeSouth KoreaUnited States

Identifiers

PMID41398785
PMCPMC12708160

What Socratic 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 Socratic graph.