Evidence map›Paper›PMID 37772076›Full record

ArticleFrontiers in endocrinology2023

Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018.

Ya Shao, Longti Li, Huiqin Zhong, Xiaojun Wang, Yu Hua, Xu Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. The Role of Fat-Free Mass in Weight-Related Complications: A Rapid Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Pooled it
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  6. Where Muscle Matters: How Regional Differences, Pain, and Gender Define Gamer Health.International journal of environmental research and public health · 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

6 authors at 2 institutions in 1 country.

Ya ShaoDepartment of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Longti LiDepartment of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Huiqin ZhongDepartment of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Xiaojun WangDepartment of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Yu HuaDepartment of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Xu ZhouDepartment of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Hubei University of Medicine · CNTaihe Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR). Methods: In this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone. Results: The study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR. Conclusion: Maintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR.

Indexed as

Body CompositionInsulin ResistanceIntra-Abdominal FatAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysHOMA-IRinsulin resistancelean body massNHANESvisceral fat mass

Identifiers

PMID37772076
PMCPMC10526824
OpenAlexW4386708441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.