Evidence map›Paper›PMID 37248034›Full record

ArticleJournal of obesity & metabolic syndrome2023

A Novel Anthropometric Parameter, Weight-Adjusted Waist Index Represents Sarcopenic Obesity in Newly Diagnosed Type 2 Diabetes Mellitus.

Min Jeong Park, Soon Young Hwang, Nam Hoon Kim, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
9.6field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  20. [Association between weight-adjusted waist index and pain: A cross-sectional study].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 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

7 authors at 1 institution in 1 country.

Min Jeong ParkDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Soon Young HwangDepartment of Biostatistics, Korea University College of Medicine, Seoul, Korea.
Nam Hoon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Sin Gon KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Kyung Mook ChoiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Sei Hyun BaikDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Hye Jin YooDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0600-0266
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the metabolic significance of sarcopenic obesity (SO) is revealed, finding an appropriate index to detect SO is important, especially for type 2 diabetes mellitus (T2DM) patients with accompanying metabolic dysfunction. Methods: Participants (n=515) from the Korea Guro Diabetes Program were included to compare how well waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR), and the weight-adjusted waist index (WWI) predict SO in newly diagnosed T2DM patients. Sarcopenia was defined based on guidelines from the 2019 Asian Working Group for Sarcopenia as both low muscle mass (appendicular skeletal muscle [ASM]/height Results: The WC, WHR, and WHtR correlated positively with the fat and muscle mass represented by truncal fat amount (TFA) and ASM, whereas the WWI was proportional to the TFA and inversely related to ASM. Of the four indices, the WWI showed the highest area under the receiver operative characteristic curve for SO. The WWI also exhibited a positive correlation with albuminuria and the mean brachial-ankle pulse wave velocity, especially in patients aged ≥65 years. Conclusion: The WWI is the preferable anthropometric index for predicting SO in T2DM patients, and it might be a proper index for predicting cardiometabolic risk factors in elderly people.

Indexed as

Anthropometric indexSarcopenic obesityType2 diabetes mellitus

Identifiers

PMID37248034
PMCPMC10327688
OpenAlexW4378713935

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.