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      Glycated hemoglobin (HbA1c) is independently associated with the bioelectrical impedance phase angle in junior sumo wrestlers: A pilot study

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          Abstract

          The study explores the relationship between phase angle (PhA), an indicator of cellular health, and metabolic health parameters among junior sumo wrestlers in Japan. Given the demanding lifestyle and high‐energy diets of sumo wrestlers that predispose them to metabolic syndrome post‐retirement, this study focuses on a younger cohort. The primary aim is to evaluate if PhA could serve as an early indicator of metabolic health issues within this unique demographic. A total of 14 sumo wrestlers aged 9–17 years were assessed to determine the relationship between PhA and various metabolic markers, including glycated hemoglobin (HbA1c), using a TANITA MC‐780A‐N body composition analyzer and standard blood tests. Bivariate regression analysis and Pearson's correlation revealed a negative relationship between PhA and HbA1c even after adjusting for age and weight ( ß = −0.496, r 2 = 0.776, r = −0.756, p = 0.004). The results indicate a significant negative relationship between PhA and HbA1c levels, suggesting that lower PhA values, which indicate poorer cellular integrity, are associated with higher HbA1c levels, signifying impaired glycemic control. These findings underscore the potential of PhA as a valuable biomarker for monitoring metabolic health in young sumo wrestlers, with implications for early intervention and management strategies.

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          Most cited references54

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          Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

          A cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus, which occur together more often than by chance alone, have become known as the metabolic syndrome. The risk factors include raised blood pressure, dyslipidemia (raised triglycerides and lowered high-density lipoprotein cholesterol), raised fasting glucose, and central obesity. Various diagnostic criteria have been proposed by different organizations over the past decade. Most recently, these have come from the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. The main difference concerns the measure for central obesity, with this being an obligatory component in the International Diabetes Federation definition, lower than in the American Heart Association/National Heart, Lung, and Blood Institute criteria, and ethnic specific. The present article represents the outcome of a meeting between several major organizations in an attempt to unify criteria. It was agreed that there should not be an obligatory component, but that waist measurement would continue to be a useful preliminary screening tool. Three abnormal findings out of 5 would qualify a person for the metabolic syndrome. A single set of cut points would be used for all components except waist circumference, for which further work is required. In the interim, national or regional cut points for waist circumference can be used.
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            Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters.

            The use of phase angle (PhA) and raw parameters of bioelectrical impedance analysis (BIA) has gained attention as alternative to conventional error-prone calculation of body composition in disease. This review investigates the clinical relevance and applicability of PhA and Bioelectrical Impedance Vector Analysis (BIVA) which uses the plot of resistance and reactance normalized per height. A comprehensive literature search was conducted using Medline identifying studies relevant to this review until March 2011. We included studies on the use of PhA or BIVA derived from tetrapolar BIA in out- and in-patient settings or institutionalized elderly. Numerous studies have proven the prognostic impact of PhA regarding mortality or postoperative complications in different clinical settings. BIVA has been shown to provide information about hydration and body cell mass and therefore allows assessment of patients in whom calculation of body composition fails due to altered hydration. Reference values exist for PhA and BIVA facilitating interpretation of data. PhA, a superior prognostic marker, should be considered as a screening tool for the identification of risk patients with impaired nutritional and functional status, BIVA is recommended for further nutritional assessment and monitoring, in particular when calculation of body composition is not feasible. Copyright © 2012 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
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              Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength?

              Diabetes mellitus is a chronic condition that occurs when the body cannot produce enough or effectively use of insulin. Compared with individuals without diabetes, patients with type 2 diabetes mellitus have a considerably higher risk of cardiovascular morbidity and mortality, and are disproportionately affected by cardiovascular disease. Most of this excess risk is it associated with an augmented prevalence of well-known risk factors such as hypertension, dyslipidaemia and obesity in these patients. However the improved cardiovascular disease in type 2 diabetes mellitus patients can not be attributed solely to the higher prevalence of traditional risk factors. Therefore other non-traditional risk factors may be important in people with type 2 diabetes mellitus. Cardiovascular disease is increased in type 2 diabetes mellitus subjects due to a complex combination of various traditional and non-traditional risk factors that have an important role to play in the beginning and the evolution of atherosclerosis over its long natural history from endothelial function to clinical events. Many of these risk factors could be common history for both diabetes mellitus and cardiovascular disease, reinforcing the postulate that both disorders come independently from "common soil". The objective of this review is to highlight the weight of traditional and non-traditional risk factors for cardiovascular disease in the setting of type 2 diabetes mellitus and discuss their position in the pathogenesis of the excess cardiovascular disease mortality and morbidity in these patients.
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                Author and article information

                Contributors
                sagayama.hiroyuki.ka@u.tsukuba.ac.jp
                Journal
                Physiol Rep
                Physiol Rep
                10.1002/(ISSN)2051-817X
                PHY2
                physreports
                Physiological Reports
                John Wiley and Sons Inc. (Hoboken )
                2051-817X
                13 May 2024
                May 2024
                : 12
                : 9 ( doiID: 10.1002/phy2.v12.9 )
                : e16045
                Affiliations
                [ 1 ] Doctoral Program in Sports Medicine, Graduate School of Comprehensive Human Sciences University of Tsukuba Ibaraki Japan
                [ 2 ] Department of Pediatrics Japanese Red Cross Nasu Hospital Tochigi Japan
                [ 3 ] Institute of Health and Sports Sciences University of Tsukuba Ibaraki Japan
                [ 4 ] Japan Society for the Promotion of Science Tokyo Japan
                [ 5 ] Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan
                [ 6 ] Department of Sport Science and Research Japan Institute of Sports Sciences Tokyo Japan
                [ 7 ] Advanced Research Initiative for Human High Performance (ARIHHP) University of Tsukuba Tsukuba Japan
                Author notes
                [*] [* ] Correspondence

                Hiroyuki Sagayama, Institute of Health and Sport Sciences, University of Tsukuba, D Building, Room 508, 1‐1‐1 Tennodai, Tsukuba, Ibaraki 305‐8574, Japan.

                Email: sagayama.hiroyuki.ka@ 123456u.tsukuba.ac.jp

                Author information
                https://orcid.org/0000-0003-0945-5733
                https://orcid.org/0000-0003-0786-8809
                https://orcid.org/0000-0001-7379-0304
                https://orcid.org/0000-0001-9145-0549
                https://orcid.org/0000-0001-5439-9983
                https://orcid.org/0000-0002-9040-7650
                Article
                PHY216045 PHYSREP-2024-03-145
                10.14814/phy2.16045
                11090887
                38740565
                b85ce57c-370f-4dd0-8c92-cb1eac1c9666
                © 2024 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 April 2024
                : 07 March 2024
                : 26 April 2024
                Page count
                Figures: 1, Tables: 3, Pages: 10, Words: 6800
                Funding
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS) , doi 10.13039/501100001691;
                Award ID: 23K10738
                Award ID: 23H03279
                Award ID: 23KK0177
                Funded by: Casio Science Promotion Foundation , doi 10.13039/501100005936;
                Award ID: 41
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                May 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.2 mode:remove_FC converted:13.05.2024

                bioelectrical impedance analysis,glycated hemoglobin,metabolic parameters,phase angle

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