Evidence map›Paper›PMID 26996568›Full record

ArticleYonsei medical journal2016

Visceral Fat Mass Has Stronger Associations with Diabetes and Prediabetes than Other Anthropometric Obesity Indicators among Korean Adults.

Suk Hwa Jung, Kyoung Hwa Ha, Dae Jung Kim

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Yonsei medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
–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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Association of Air Pollution With Adiposity Rates in Active Runners and Inactive People.American journal of human biology : the official journal of the Human Biology Council · 2025
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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

3 authors.

Suk Hwa JungAjou University School of Medicine, Suwon, Korea.
Kyoung Hwa HaDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.
Dae Jung KimDepartment of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study determined which obesity measurement correlates the best with diabetes and prediabetes. MATERIALS AND

methodsThis cross-sectional study enrolled 1603 subjects (611 men, 992 women; age 30-64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Body mass index, waist circumference, waist-height ratio, waist-hip ratio, waist-thigh ratio, and visceral fat were used as measures of obesity. Visceral fat was acquired using dual-energy X-ray absorptiometry (DXA). The prevalences of diabetes and prediabetes were defined using the criteria in the American Diabetes Association 2015 guidelines.

resultsAfter adjusting for age and other potential confounding factors, participants with a visceral fat mass in the upper 10th percentile had a higher odds ratio (OR) for diabetes and prediabetes than the upper 10th percentile of other adiposity indices [men, OR=15.9, 95% confidence interval (CI)=6.4-39.2; women, OR=6.9, 95% CI=3.5-13.7]. Visceral fat mass also had the highest area under the curve with diabetes and prediabetes in both men (0.69, 95% CI=0.64-0.73) and women (0.70, 95% CI=0.67-0.74) compared to other anthropometric measurements of obesity.

conclusionVisceral fat mass measured using DXA is an indicator of diabetes or prediabetes, due to its ability to differentiate between abdominal visceral and subcutaneous fat.

Indexed as

AdiposityIntra-Abdominal FatAbsorptiometry, PhotonAdultAnthropometryAsian PeopleBiomarkersBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedObesityOdds RatioBiomarkersDiabetes mellitusobesityvisceral fat

Identifiers

PMID26996568
PMCPMC4800358

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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.