Evidence map›Paper›PMID 40785385›Full record

ArticleJournal of obesity & metabolic syndrome2025

Trends in Prevalence of Obesity and Related Cardiometabolic and Renal Complications in Korea: A Nationwide Study 2007 to 2022.

Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Jangho Lee, Yong-Ho Lee

Abstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Eugene HanDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Byung-Wan LeeDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea.
Eun Seok KangDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea.
Bong-Soo ChaDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea.
Jangho LeeFood Functionality Research Division, Korea Food Research Institute, Wanju, Korea.
Yong-Ho LeeDepartment of Internal Medicine, Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As obesity increases, the burden of obesity-related comorbidities also rises. However, the prevalence of obesity-related comorbidities among individuals in Korea has not been evaluated. Methods: Data from the 2007 to 2022 Korean National Health and Nutrition Examination Surveys database were analyzed (n=93,761). The prevalence of hypertension, diabetes, dyslipidemia, steatotic liver disease (SLD), and chronic kidney disease (CKD) was analyzed based on the presence of obesity and central obesity. The prevalence of obesity-related comorbidities was examined according to age and sex. Results: The prevalence of obesity has steadily increased from 31.5% in 2007-2009 to 37.4% in 2020-2022, with a more pronounced rise in men and those aged 19 to 39 years. Among individuals with obesity, the prevalence of hypertension, diabetes, dyslipidemia, CKD, and SLD has also increased. The proportion of metabolic dysfunction-associated steatotic liver disease (MASLD) and MASLD with increased alcohol intake have risen. The increase in CKD prevalence was particularly prominent in the young (19 to 39 years) and middle-aged (40 to 59 years) groups. Similar trends were observed when analyzing data based on central obesity. Conclusion: With the increase in obesity, the prevalence of obesity-related comorbidities in the Korean population has risen. Young and middle-aged individuals with obesity are particularly vulnerable to these comorbidities, highlighting the need for early intervention and targeted healthcare strategies.

Indexed as

Cardiovascular diseaseDyslipidemiaHypertensionObesityPrevalenceType 2 diabetes mellitus

Identifiers

PMID40785385
PMCPMC12583793

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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.