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Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report

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 t...

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Autores principales: Okura, Tsuyoshi, Nakamura, Risa, Fujioka, Yohei, Kawamoto-Kitao, Sonoko, Ito, Yuichi, Matsumoto, Kazuhisa, Shoji, Kyoko, Sumi, Keisuke, Matsuzawa, Kazuhiko, Izawa, Shoichiro, Ueta, Etsuko, Kato, Masahiko, Imamura, Takeshi, Taniguchi, Shin-ichi, Yamamoto, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054391/
https://www.ncbi.nlm.nih.gov/pubmed/30028879
http://dx.doi.org/10.1371/journal.pone.0201052
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author Okura, Tsuyoshi
Nakamura, Risa
Fujioka, Yohei
Kawamoto-Kitao, Sonoko
Ito, Yuichi
Matsumoto, Kazuhisa
Shoji, Kyoko
Sumi, Keisuke
Matsuzawa, Kazuhiko
Izawa, Shoichiro
Ueta, Etsuko
Kato, Masahiko
Imamura, Takeshi
Taniguchi, Shin-ichi
Yamamoto, Kazuhiro
author_facet Okura, Tsuyoshi
Nakamura, Risa
Fujioka, Yohei
Kawamoto-Kitao, Sonoko
Ito, Yuichi
Matsumoto, Kazuhisa
Shoji, Kyoko
Sumi, Keisuke
Matsuzawa, Kazuhiko
Izawa, Shoichiro
Ueta, Etsuko
Kato, Masahiko
Imamura, Takeshi
Taniguchi, Shin-ichi
Yamamoto, Kazuhiro
author_sort Okura, Tsuyoshi
collection PubMed
description 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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spelling pubmed-60543912018-07-27 Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report Okura, Tsuyoshi Nakamura, Risa Fujioka, Yohei Kawamoto-Kitao, Sonoko Ito, Yuichi Matsumoto, Kazuhisa Shoji, Kyoko Sumi, Keisuke Matsuzawa, Kazuhiko Izawa, Shoichiro Ueta, Etsuko Kato, Masahiko Imamura, Takeshi Taniguchi, Shin-ichi Yamamoto, Kazuhiro PLoS One Research Article 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. Public Library of Science 2018-07-20 /pmc/articles/PMC6054391/ /pubmed/30028879 http://dx.doi.org/10.1371/journal.pone.0201052 Text en © 2018 Okura et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Okura, Tsuyoshi
Nakamura, Risa
Fujioka, Yohei
Kawamoto-Kitao, Sonoko
Ito, Yuichi
Matsumoto, Kazuhisa
Shoji, Kyoko
Sumi, Keisuke
Matsuzawa, Kazuhiko
Izawa, Shoichiro
Ueta, Etsuko
Kato, Masahiko
Imamura, Takeshi
Taniguchi, Shin-ichi
Yamamoto, Kazuhiro
Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title_full Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title_fullStr Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title_full_unstemmed Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title_short Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report
title_sort body mass index ≥23 is a risk factor for insulin resistance and diabetes in japanese people: a brief report
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054391/
https://www.ncbi.nlm.nih.gov/pubmed/30028879
http://dx.doi.org/10.1371/journal.pone.0201052
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