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      The association of dietary indices for hyperinsulinemia and insulin resistance with the risk of metabolic syndrome: a population‐based cross‐sectional study

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          Abstract

          We aimed to investigate the association between an empirical dietary index for hyperinsulinemia (EDIH), empirical dietary index for insulin resistance (EDIR), and MetS and its components in an adult Iranian population. In this cross‐sectional study, a total of 6482 participants aged 35–65 years were recruited as part of the MASHAD cohort study. Dietary intakes were assessed using a validated food frequency questionnaire (FFQ). The International Diabetes Federation (IDF) criteria were used to define MetS. Multivariable logistic regression models were applied to determine the association between EDIH, EDIR, and MetS and its components.

          The mean age and BMI of participants were 48.44±8.20 years, and 27.98±4.73 kg/m 2, respectively. Around 59% of the population was female. Of the total population, 35.4% had MetS. According to the full‐adjusted model, there was no significant association between higher quartiles of EDIH and EDIR and odds of MetS (Q4 EDIH; OR (95%CI):0.93 (0.74‐1.18), Q4 EDIR; OR (95%CI):1.14 (0.92‐1.40). Regarding MetS components, EDIR was associated with increased odds of hypertension and diabetes (Q4 EDIR; OR (95%CI):1.22 (1.04‐1.44) and 1.22 (1.01‐1.47), respectively). EDIH was also associated with decreased odds of hypertriglyceridemia (Q4 EDIH; OR (95%CI): 0.72 (0.60‐0.87)). This study showed no significant association between hyperinsulinemia and insulin resistance potential of diet and odds of MetS among Iranian adults. However, EDIR was significantly associated with increased odds of hypertension and diabetes as MetS components.

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          Dietary pattern analysis: a new direction in nutritional epidemiology.

          Frank Hu (2002)
          Recently, dietary pattern analysis has emerged as an alternative and complementary approach to examining the relationship between diet and the risk of chronic diseases. Instead of looking at individual nutrients or foods, pattern analysis examines the effects of overall diet. Conceptually, dietary patterns represent a broader picture of food and nutrient consumption, and may thus be more predictive of disease risk than individual foods or nutrients. Several studies have suggested that dietary patterns derived from factor or cluster analysis predict disease risk or mortality. In addition, there is growing interest in using dietary quality indices to evaluate whether adherence to a certain dietary pattern (e.g. Mediterranean pattern) or current dietary guidelines lowers the risk of disease. In this review, we describe the rationale for studying dietary patterns, and discuss quantitative methods for analysing dietary patterns and their reproducibility and validity, and the available evidence regarding the relationship between major dietary patterns and the risk of cardiovascular disease.
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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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              Metabolic syndrome: definitions and controversies

              Metabolic syndrome (MetS) is a complex disorder defined by a cluster of interconnected factors that increase the risk of cardiovascular atherosclerotic diseases and diabetes mellitus type 2. Currently, several different definitions of MetS exist, causing substantial confusion as to whether they identify the same individuals or represent a surrogate of risk factors. Recently, a number of other factors besides those traditionally used to define MetS that are also linked to the syndrome have been identified. In this review, we critically consider existing definitions and evolving information, and conclude that there is still a need to develop uniform criteria to define MetS, so as to enable comparisons between different studies and to better identify patients at risk. As the application of the MetS model has not been fully validated in children and adolescents as yet, and because of its alarmingly increasing prevalence in this population, we suggest that diagnosis, prevention and treatment in this age group should better focus on established risk factors rather than the diagnosis of MetS.
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                Author and article information

                Contributors
                ghayourm@mums.ac.ir
                Journal
                J Clin Hypertens (Greenwich)
                J Clin Hypertens (Greenwich)
                10.1111/(ISSN)1751-7176
                JCH
                The Journal of Clinical Hypertension
                John Wiley and Sons Inc. (Hoboken )
                1524-6175
                1751-7176
                21 June 2024
                July 2024
                : 26
                : 7 ( doiID: 10.1111/jch.v26.7 )
                : 832-841
                Affiliations
                [ 1 ] International UNESCO Center for Health‐Related Basic Sciences and Human Nutrition Mashhad University of Medical Sciences Mashhad Iran
                [ 2 ] Transplant Research Center Clinical Research Institute Mashhad University of Medical Sciences Mashhad Iran
                [ 3 ] Non‐Communicable Diseases Research Center Department of Nutrition & Biochemistry School of Medicine Sabzevar University of Medical Sciences Sabzevar Iran
                [ 4 ] Division of Medical Education Brighton & Sussex Medical School, Falmer Brighton Sussex UK
                [ 5 ] Department of Biostatistics School of Health Mashhad University of Medical Sciences Mashhad Iran
                [ 6 ] Social Determinants of Health Research Center Mashhad University of Medical Sciences Mashhad Iran
                Author notes
                [*] [* ] Correspondence

                Majid Ghayour‐Mobarhan, MD, PhD. International UNESCO Center for Health‐Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.

                Email: ghayourm@ 123456mums.ac.ir

                Author information
                https://orcid.org/0000-0003-4139-546X
                https://orcid.org/0000-0002-1081-6754
                Article
                JCH14832
                10.1111/jch.14832
                11232453
                38980195
                17fb0f06-c365-4a0b-812f-2dbb1eb11601
                © 2024 The Author(s). The Journal of Clinical Hypertension published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 07 April 2024
                : 30 December 2023
                : 16 April 2024
                Page count
                Figures: 1, Tables: 5, Pages: 10, Words: 6615
                Funding
                Funded by: Mashhad University of Medical Sciences , doi 10.13039/501100004748;
                Categories
                Original Article
                Original Article
                Custom metadata
                2.0
                July 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.5 mode:remove_FC converted:09.07.2024

                empirical dietary index for hyperinsulinemia,empirical dietary index for insulin resistance,edih,edir,metabolic syndrome

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