フルテキストファイル | |
著者 |
Okura, Tsuyoshi
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Nakamura, Risa
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
Fujioka, Yohei
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Kawamoto-Kitao, Sonoko
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
Ito, Yuichi
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
Matsumoto, Kazuhisa
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
Shoji, Kyoko
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
Sumi, Keisuke
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
Matsuzawa, Kazuhiko
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
Izawa, Shoichiro
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Kato, Masahiko
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Imamura, Takeshi
Division of Molecular Pharmacology, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Taniguchi, Shin-ichi
Department of Regional Medicine, Tottori University Faculty of Medicine
研究者総覧
KAKEN
Yamamoto, Kazuhiro
Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine
研究者総覧
KAKEN
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抄録 | Background: Screening for undiagnosed type 2 diabetes mellitus is recommended for Asian Americans with a body mass index ≥23. However, the optimal body mass index cut-off score for predicting the risk of diabetes mellitus in Japanese people is not well known. The aim of this study was to determine the best body mass index cut-off score for predicting insulin resistance and diabetes mellitus in the Japanese population. Methods: This study had two parts, a clinical investigation and a retrospective observational investigation. In the clinical part of the study, 58 participants (26 with type 2 diabetes mellitus and 32 non-diabetics) underwent a hyperinsulinemic-euglycemic clamp from which their glucose disposal rate was measured. For the retrospective part of the study, medical check-up data from 88,305 people in the Tottori Prefecture were analyzed for clinical evidence of diabetes mellitus. The optimal BMI cut-off scores for prediction of insulin resistance and diabetes mellitus were determined. Results: In the clamp study, the optimal body mass index cut-off score to predict insulin resistance in non-diabetic patients was 22.7. All participants with type 2 diabetes mellitus were insulin resistant, and the optimal body mass index cut-off score for prediction of severe insulin resistance was 26.2. When the data from the type 2 diabetic and the non-diabetic participants were combined, the optimal body mass index cut-off score for prediction of insulin resistance was 23.5. Analysis of 88,305 medical check-up records yielded an optimal body mass index cut-off score for prediction of diabetes mellitus of 23.6. Conclusions: These results suggest that having a body mass index ≥23 is a risk factor for insulin resistance and diabetes mellitus in the Japanese population.
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出版者 | Public Library of Science
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資料タイプ |
学術雑誌論文
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外部リンク | |
ISSN | 19326203
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掲載誌名 | PLOS ONE
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最新掲載誌名 |
PLOS ONE
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巻 | 13
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号 | 7
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発行日 | 2018-07-20
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出版者DOI | |
著者版フラグ |
出版社版
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著作権表記 | Copyright: © 2018 Okura et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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掲載情報 | Okura Tsuyoshi, Nakamura Risa, Fujioka Yohei, et al. Body mass index >= 23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report. PLOS ONE. 2018. 13(7). doi:10.1371/journal.pone.0201052
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部局名 |
医学部・医学系研究科・医学部附属病院
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言語 |
英語
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Web of Science Key ut | WOS:000439396900036
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