Evidence map›Paper›PMID 39870802›Full record

ArticleScientific reports2025

The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study.

Ya Shao, Na Wang, Meiling Shao, Bin Liu, Yu Wang, Yan Yang, Longti Li, Huiqin Zhong

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Ya Shao *Health Management Center, TaiHe Hospital, Hubei University of Medicine, Wudangshan Campus, Shiyan, Hubei, China.
Na Wang *Innovation Centre of Nursing Research, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Meiling Shao *Department of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Bin LiuDepartment of Pharmacy, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Yu WangHealth Management Center, TaiHe Hospital, Hubei University of Medicine, Wudangshan Campus, Shiyan, Hubei, China.
Yan YangDepartment of General Surgery, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Longti LiInnovation Centre of Nursing Research, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China. longtili@163.com.
Huiqin ZhongInnovation Centre of Nursing Research, TaiHe Hospital, Hubei University of Medicine, Shiyan, Hubei, China. zhq66077@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explore the relationship between the ratio of the lean mass index (LMI) to the visceral fat mass index (VFMI) and cardiometabolic disorders, including dyslipidemia, hypertension, and diabetes, as previous research on this topic is lacking. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States and included 10,867 individuals. Logistic regression was employed to explore the association between LMI/VFMI and cardiometabolic disorders. Generalized additive models were utilized to examine the nonlinear relationships between variables. Data analysis revealed a consistent inverse association between ln(LMI/VFMI) and dyslipidemia, hypertension, and diabetes. Each 2.7-fold increase in LMI/VFMI (one unit of ln[LMI/VFMI]) was associated with lower odds ratios (ORs) for these conditions. In men, the ORs were 0.21 (95% CI 0.17-0.25) for dyslipidemia, 0.37 (95% CI 0.30-0.45) for hypertension, and 0.16 (95% CI 0.10-0.23) for diabetes. Similarly, in women, the ORs were 0.22 (95% CI 0.19-0.26), 0.51 (95% CI 0.42-0.61), and 0.19 (95% CI 0.13-0.27). Quartile analysis showed that participants in the highest quartile (Q4) had significantly lower ORs compared to those in the lowest quartile (Q1). In men, Q4 ORs were 0.18 (95% CI 0.14-0.23) for dyslipidemia, 0.30 (95% CI 0.23-0.39) for hypertension, and 0.11 (95% CI 0.06-0.20) for diabetes. In women, Q4 ORs were 0.12 (95% CI 0.10-0.15), 0.39 (95% CI 0.29-0.52), and 0.12 (95% CI 0.06-0.25), respectively. Dyslipidemia and diabetes demonstrated nonlinear patterns, while a linear association was found for hypertension. Subgroup analyses across various characteristics confirmed these findings with no substantial directional changes. Maintaining an appropriate ratio of LMI to VFMI may be associated with favorable metabolic health.

Indexed as

Cardiovascular DiseasesIntra-Abdominal FatMetabolic DiseasesAdultAgedBody Mass IndexCross-Sectional StudiesDiabetes MellitusDyslipidemiasFemaleHumansHypertensionMaleMiddle AgedNutrition SurveysUnited StatesCardiometabolic disordersDiabetesDyslipidemiaHypertensionLean body massVisceral fat mass

Identifiers

PMID39870802
PMCPMC11772826

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.