Evidence map›Paper›PMID 40594124›Full record

ArticleScientific reports2025

Disparities in trends of metabolic syndrome in Korea from 2007 to 2022 by age, sex, and lifestyle factors.

Yaelim Kim, Yeonghun Choi, Kyu-Na Lee, Hyunji Sang, Kyungdo Han, Sunyoung Kim, Sang Youl Rhee

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Yaelim Kim *Department of Medicine, Kyung Hee University, Seoul, Korea.
Yeonghun Choi *Department of Medicine, Kyung Hee University, Seoul, Korea.
Kyu-Na LeeDepartment of Public Health, Catholic University, Seoul, Korea.
Hyunji SangCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, Korea.
Kyungdo HanDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
Sunyoung KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, Korea. ggutsun@naver.com.
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, Korea. bard95@hanmail.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the prevalence of metabolic syndrome (MetS) among Korean adults aged 19 and older over the past 15 years. A cross-sectional study of data from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2007 to 2022 was conducted. The study included 87,397 subjects. MetS was defined according to the National Cholesterol Education Program-Third Adult Treatment Panel (NCEP-ATP) III and the Korean Society for the Study of Obesity (KOSSO) criteria. MetS prevalence increased from 22.8% in 2007 to 28.6% in 2022 but showed sex differences, with males increasing (24.5% to 36.8%) and females decreasing (20.6% to 19.5%). Among the components of MetS, hyperglycemia and abdominal obesity showed the most significant increases (1.51-fold and 1.29-fold, respectively). While hyperglycemia increased across all age groups in both sexes, abdominal obesity increased most in males aged 30-39 (1.98-fold) and 19-29 (1.81-fold). Low high-density lipoprotein cholesterol (HDL-C) was the only component that decreased (0.62-fold) and was more prevalent among females. In the sub-analysis of those aged 65 and older, MetS increased in both males and females but was more prevalent in females. Individuals with MetS had higher rates of current smoking, heavy drinking, physical inactivity, and carbohydrate consumption. The prevalence of MetS is gradually increasing in Korea, and hyperglycemia and abdominal obesity are rapidly increasing, especially in younger males. Although the prevalence of MetS in females is decreasing due to changes in the social environment, continuous efforts are needed for postmenopausal females. Targeted health policies and interventions should be established.

Indexed as

Life StyleMetabolic SyndromeAdultAgedAge FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysObesity, AbdominalPrevalenceRepublic of KoreaRisk FactorsSex FactorsHealth policyMetabolic syndromePrevalenceSex characteristics

Identifiers

PMID40594124
PMCPMC12214675

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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.