Evidence map›Paper›PMID 39294627›Full record

ArticleBMC endocrine disorders2024

Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China.

Yuntong Liu, Haodong Jiang, Lan Luo, Zhengnan Gao

Abstract read
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Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

4 authors.

Yuntong LiuDepartment of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.
Haodong JiangDepartment of Cardiovascular, the Second Hospital of Jilin University, Changchun, China.
Lan LuoDepartment of Endocrinology, Dalian Municipal Central Hospital, Dalian, China. rolland_304224@sohu.com.
Zhengnan GaoDepartment of Endocrinology, Dalian Municipal Central Hospital, Dalian, China. gao2008@dlut.edu.cn.

Funding

the Dalian Science and Technology Bureau 2022RG11the National Key R&D Program of China 2018YFC1311800
6 · The paper itself

Abstract

backgroundIn recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes.

methodsConducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves.

resultsThe study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions.

conclusionThis research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.

Indexed as

Obesity, AbdominalPrediabetic StateAdultAgedBody Mass IndexChinaCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedPrevalencePrognosisRisk FactorsCross-sectional studyDiabetesInsulin resistanceObesity indicesPrediabetes

Identifiers

PMID39294627
PMCPMC11409536

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LicenceCC BY-NC-ND
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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.