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      Association Between Visceral Adiposity Index and Insulin Resistance: A Cross-Sectional Study Based on US Adults

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          Abstract

          Background

          Visceral obesity index (VAI) is an empirical mathematical model used to evaluate the distribution and function of fat. Some studies have shown that VAI may be associated with the development of insulin resistance. In view of the differences in insulin resistance among different ethnic groups, this study attempts to analyze the special relationship between VAI and insulin resistance in American adults.

          Methods

          We conducted a cross-sectional study through NHANES database. A total of 27309 patients over the age of 18 from the United States took part in the survey. It was divided into two groups: the IR-positive group and the IR-negative group. The association of VAI with IR was evaluated by logistic regression analyses mainly, including univariate analysis, multivariate regression analysis, curve fitting analysis and subgroup analysis.

          Results

          The results showed that in the full-adjusted model, there is a strong positive association between VAI level and insulin resistance (OR: 1.28 (1.2~1.37), P<0.001) and there is a threshold effect.

          Conclusions

          This study suggests that higher VAI levels are associated with insulin resistance. VAI index may be used as a predictor of insulin resistance.

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          Most cited references37

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          Use and abuse of HOMA modeling.

          Homeostatic model assessment (HOMA) is a method for assessing beta-cell function and insulin resistance (IR) from basal (fasting) glucose and insulin or C-peptide concentrations. It has been reported in >500 publications, 20 times more frequently for the estimation of IR than beta-cell function. This article summarizes the physiological basis of HOMA, a structural model of steady-state insulin and glucose domains, constructed from physiological dose responses of glucose uptake and insulin production. Hepatic and peripheral glucose efflux and uptake were modeled to be dependent on plasma glucose and insulin concentrations. Decreases in beta-cell function were modeled by changing the beta-cell response to plasma glucose concentrations. The original HOMA model was described in 1985 with a formula for approximate estimation. The computer model is available but has not been as widely used as the approximation formulae. HOMA has been validated against a variety of physiological methods. We review the use and reporting of HOMA in the literature and give guidance on its appropriate use (e.g., cohort and epidemiological studies) and inappropriate use (e.g., measuring beta-cell function in isolation). The HOMA model compares favorably with other models and has the advantage of requiring only a single plasma sample assayed for insulin and glucose. In conclusion, the HOMA model has become a widely used clinical and epidemiological tool and, when used appropriately, it can yield valuable data. However, as with all models, the primary input data need to be robust, and the data need to be interpreted carefully.
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            Risk Factors Contributing to Type 2 Diabetes and Recent Advances in the Treatment and Prevention

            Type 2 diabetes is a serious and common chronic disease resulting from a complex inheritance-environment interaction along with other risk factors such as obesity and sedentary lifestyle. Type 2 diabetes and its complications constitute a major worldwide public health problem, affecting almost all populations in both developed and developing countries with high rates of diabetes-related morbidity and mortality. The prevalence of type 2 diabetes has been increasing exponentially, and a high prevalence rate has been observed in developing countries and in populations undergoing “westernization” or modernization. Multiple risk factors of diabetes, delayed diagnosis until micro- and macro-vascular complications arise, life-threatening complications, failure of the current therapies, and financial costs for the treatment of this disease, make it necessary to develop new efficient therapy strategies and appropriate prevention measures for the control of type 2 diabetes. Herein, we summarize our current understanding about the epidemiology of type 2 diabetes, the roles of genes, lifestyle and other factors contributing to rapid increase in the incidence of type 2 diabetes. The core aims are to bring forward the new therapy strategies and cost-effective intervention trials of type 2 diabetes.
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              The hormone resistin links obesity to diabetes.

              Diabetes mellitus is a chronic disease that leads to complications including heart disease, stroke, kidney failure, blindness and nerve damage. Type 2 diabetes, characterized by target-tissue resistance to insulin, is epidemic in industrialized societies and is strongly associated with obesity; however, the mechanism by which increased adiposity causes insulin resistance is unclear. Here we show that adipocytes secrete a unique signalling molecule, which we have named resistin (for resistance to insulin). Circulating resistin levels are decreased by the anti-diabetic drug rosiglitazone, and increased in diet-induced and genetic forms of obesity. Administration of anti-resistin antibody improves blood sugar and insulin action in mice with diet-induced obesity. Moreover, treatment of normal mice with recombinant resistin impairs glucose tolerance and insulin action. Insulin-stimulated glucose uptake by adipocytes is enhanced by neutralization of resistin and is reduced by resistin treatment. Resistin is thus a hormone that potentially links obesity to diabetes.
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                22 July 2022
                2022
                : 13
                : 921067
                Affiliations
                [1] 1 Department of Cardiovascular Medicine, The Bozhou Hospital Affiliated to Anhui Medical University , Bozhou, China
                [2] 2 Department of Cardiovascular Medicine, People’s Hospital of Ningxia Hui Autonomous Region , YinChuan, China
                [3] 3 Medical College of Qinghai University , Xining, China
                [4] 4 College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine , Jinan, China
                Author notes

                Edited by: Andile Khathi, University of KwaZulu-Natal, South Africa

                Reviewed by: Luisa Fernández-Chirino, Monterrey Institute of Technology and Higher Education (ITESM), Mexico; Ibrahim Solak, Konya Beyhekim Training and Research Hospital, Turkey; Lishun Liu, China Agricultural University, China

                †These authors have contributed equally to this work

                This article was submitted to Clinical Diabetes, a section of the journal Frontiers in Endocrinology

                Article
                10.3389/fendo.2022.921067
                9353944
                35937809
                1fab6179-5f68-4347-9edd-50add6fa6248
                Copyright © 2022 Jiang, Luan, Pu, Wang, Yin and Gong

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 April 2022
                : 22 June 2022
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 37, Pages: 10, Words: 5029
                Categories
                Endocrinology
                Original Research

                Endocrinology & Diabetes
                cross-sectional study,american adult,vai,ir,nhanes
                Endocrinology & Diabetes
                cross-sectional study, american adult, vai, ir, nhanes

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