Evidence map›Paper›PMID 41944221›Full record

ArticleDiabetes, obesity & metabolism2026

Defining Obesity Under the Lancet Commission Criteria: Metabolic Syndrome-Anchored Body Fat Percentage Thresholds in Korean Adults.

Han Na Jung, Yun Kyung Cho, Myung Jin Kim, Jung Yoon Moon, Eun Hee Kim, Min Jung Lee, Woo Je Lee, Hong-Kyu Kim, Chang Hee Jung

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Han Na JungDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon-si, Republic of Korea.
Yun Kyung ChoDepartment of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Myung Jin KimDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon-si, Republic of Korea.
Jung Yoon MoonDepartment of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Eun Hee KimHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Min Jung LeeHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Woo Je LeeDepartment of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-1899-3560
Hong-Kyu KimHealth Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-7606-3521
Chang Hee JungDepartment of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-4043-2396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe revised Lancet Commission framework prioritizes excess adiposity over body mass index (BMI) alone for diagnosing obesity, emphasizing population-specific body fat assessments. However, body fat percentage (BFP) thresholds reflecting adiposity-defined obesity remain limited, particularly by sex and age in Asian populations. This study aims to compare BMI- and adiposity-defined obesity classifications and derive sex- and age-specific BFP thresholds in Korean adults. MATERIALS AND

methodsData from 18 254 adults who underwent routine health examinations were analysed, with BFP assessed using multifrequency bioelectrical impedance analysis. Adiposity-defined obesity was classified per Lancet Commission criteria using waist circumference, waist-to-height ratio and BMI. BFP thresholds were derived from logistic regression as the values at which the predicted probability of metabolic syndrome matched its observed prevalence among individuals with adiposity-defined obesity. Confidence intervals (CIs) were estimated using bias-corrected and accelerated bootstrap.

resultsAdiposity-defined obesity was more prevalent than BMI-defined obesity, with discordance increasing with age, particularly among women. Overall, 6.6% were classified as obese solely by adiposity-based criteria, rising to 11.1% in men and 15.8% in women aged ≥ 65 years. Overall BFP thresholds were 27.8% (95% CI, 27.4%-28.2%) for men and 39.5% (38.9%-40.2%) for women, with minimal age variation in men but reaching 41.0% (38.8%-43.9%) among women aged ≥ 65 years.

conclusionsAdiposity-defined obesity identifies phenotypes missed by BMI, particularly in older adults. BFP thresholds derived from adiposity-defined obesity vary substantially by sex and age. These findings support adiposity-centred diagnostic approaches and provide sex- and age-specific BFP thresholds for Korean adults.

Indexed as

Adipose TissueAdiposityMetabolic SyndromeObesityAdultAgedAge FactorsBody Mass IndexEast Asian PeopleElectric ImpedanceFemaleHumansMaleMiddle AgedPrevalenceRepublic of Koreaadipositybody fat percentagebody mass indexlancet Commission criteriametabolic syndrome

Identifiers

PMID41944221
PMCPMC13146145

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.