ArticleBMC public health2023
Visceral adiposity index is positively associated with fasting plasma glucose: a cross-sectional study from National Health and Nutrition Examination Survey 2017-2020.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Effects of practical models of low-volume high-intensity interval training on glycemic control and insulin resistance in adults: a systematic review and meta-analysis of randomized controlled studies.Frontiers in endocrinology · 2025Pooled it
- Predictors of Peripheral Neuropathy in Metabolic Disease: A Multivariable Analysis Incorporating the Toronto Clinical Scoring System and Sudomotor Assessment.Medicina (Kaunas, Lithuania) · 2026Article
- A Cross-sectional Data Analysis between Serum Total Bilirubin and Potential Obesity Indices in US Adults.Current molecular medicine · 2026Article
- Potential Association Between Atherogenic Coefficient, Prognostic Nutritional Index, and Various Obesity Indices in Diabetic Nephropathy.Nutrients · 2025Article
- The association between visceral adiposity index and long-term all-cause mortality shows age-related disparities: a nationwide cohort study.BMC public health · 2025Article
- The non-linear relationship between the visceral adiposity index and the risk of prediabetes and diabetes.Frontiers in endocrinology · 2025Article
- Association of the Chinese visceral adiposity index with marrow adiposity in postmenopausal females.Frontiers in endocrinology · 2025Article
- Visceral adiposity index, cardiorespiratory fitness, and fasting plasma glucose associations in adolescents.World journal of clinical pediatrics · 2024Article
- Interactive association of metals and Life's Essential 8 with mortality in U.S. adults: a prospective cohort study from the NHANES dataset.BMC public health · 2024Article
- Novel genomic variants related to visceral adiposity index (VAI) and body adiposity index (BAI) in Indian sib-pairs.International journal of obesity (2005) · 2024Article
- The association between visceral adiposity index and risk of type 2 diabetes mellitus.Scientific reports · 2024Article
- Adipose Dysfunction Indices as a Key to Cardiometabolic Risk Assessment-A Population-Based Study of Post-Myocardial Infarction Patients.Metabolites · 2024Article
- Reevaluating Adiponectin's impact on obesity hypertension: a Chinese case-control study.BMC cardiovascular disorders · 2024Article
- Association between visceral adiposity index and risk of diabetes and prediabetes: Results from the NHANES (1999-2018).PloS one · 2024Article
- Trends in breast cancer mortality attributable to metabolic risks in Chinese women from 1990 to 2019: an age-period-cohort analysis.Frontiers in oncology · 2024Article
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Abstract
backgroundVisceral adiposity index (VAI) has been recognized as a reliable indicator for visceral adiposity. However, it remains largely unexplored on its association with fasting plasma glucose (FPG). The current study aims to explore the association between VAI and FPG using a representative dataset.
methodsA cross-sectional study was carried out based on the dataset from National Health and Nutrition Examination Survey (NHANES) 2017-2020. Univariate and Multiple linear regression analysis were performed to explore the relationship between VAI and FPG. Generalized additive model (GAM) and smooth curve fitting analysis were performed to explore the nonlinear relationship between VAI and FPG. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of VAI for FPG elevation.
resultsA total of 4437 participants with complete data were finally included in the research. Individuals were divided into 4 quartiles according to the calculated VAI value: Q1 (VAI<0.69), Q2 (0.69 ≤ VAI < 1.18), Q3 (1.18 ≤ VAI < 2.02) and Q4 (VAI ≥ 2.02). FPG significantly increased with the increasing VAI quartile. Multiple linear regression analysis showed VAI was independently positively associated with FPG after adjusting confounding factors. As a continuous variable, an increase of one unit in VAI was correlated with 0.52 mmol/L (95% CI: 0.41-0.63, p < 0.0001) higher FPG level. As a categorical variable, 4th VAI quartile group was related to 0.71 mmol/L (95% CI: 0.47-0.95, p < 0.001) higher FPG level compared with 1st VAI group. GAM and smooth curve fitting analysis identified the non-linear relationship between VAI and FPG, and 4.02 was identified as the inflection point using two-piecewise linear regression. The positive association between VAI and FPG existed when VAI was lower (β = 0.73, p < 0.0001) and higher than 4.02 (β = 0.23, p = 0.0063). ROC analysis indicated VAI has a good predictive value for FPG elevation (AUC = 0.7169, 95% CI: 0.6948-0.7389), and the best threshold of VAI was 1.4315.
conclusionVAI was an independently risk indicator for FPG, and VAI was nonlinearly positively associated with FPG. VAI had a good predictive value for elevated FPG. VAI might become a useful indicator for risk assessment and treatment of hyperglycemia in clinical practice.
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