Examination of postprandial blood glucose prediction model using food nutrition component values
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- 資料種別
- 記事
- タイトル
- 著者・編者
- Shiori UenakaMari OguraMasayuki Yagi
- 出版事項
- 出版年月日等
- 2020-12-31
- 出版年（W3CDTF）
- 2020-12-31
- 並列タイトル等
- 食品栄養成分値を用いた食後血糖予測モデルの検討
- タイトル（掲載誌）
- Glycative stress research
- 巻号年月日等（掲載誌）
- 7(4)
- 掲載巻
- 7(4)
- ISSN（掲載誌）
- 2188-3610
- ISSN-L（掲載誌）
- 2188-3610
- 本文の言語コード
- engjpn
- DOI
- 10.24659/gsr.7.4_268
- 国立国会図書館永続的識別子
- info:ndljp/pid/11703329
- コレクション（共通）
- コレクション（障害者向け資料：レベル1）
- コレクション（個別）
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- 収集根拠
- オンライン資料収集制度
- 受理日（W3CDTF）
- 2021-07-14T21:40:34+09:00
- 保存日（W3CDTF）
- 2021-05-23
- 記録形式（IMT）
- application/pdf
- オンライン閲覧公開範囲
- 国立国会図書館内限定公開
- デジタル化資料送信
- 図書館・個人送信対象外
- 遠隔複写可否（NDL）
- 可
- 掲載誌（URI）
- 掲載誌（国立国会図書館永続的識別子）
- info:ndljp/pid/11703328
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- コレクション（個別）
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- オンライン閲覧公開範囲
- 国立国会図書館内限定公開
- デジタル化資料送信
- 図書館・個人送信対象外
- 遠隔複写可否（NDL）
- 可
- 所蔵機関
- 国立国会図書館
- 請求記号
- Z63-D541
- 関連情報（国立国会図書館永続的識別子）
- info:ndljp/pid/11703329
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館雑誌記事索引
- 書誌ID（NDLBibID）
- 031484935
- 整理区分コード
- 632
- 要約等
- Objective: One of the methods for reducing glycative stress is to suppress postprandial hyperglycemia (PPHG). The purpose of this study is to establish a non-invasive and easy-to-implement means for suppressing PPHG. Based on the results of the past intake tests of various foods, a model formula for predicting the degree of PPHG from food contents was created. Methods: A model formula was created to predict the indices for PPHG, <i>i.e.</i> iAUC (incremental area under the curve), ΔCmax (maximum blood glucose concentration), based on iAUC (mg/dL·min) or ΔCmax when ingested a standard food (<i>i.e.</i>, cocked rice, udon, and bread) and the nutritional component of the test food. The past results of the model food intake test in our laboratory were used to create the predictive model formula. We applied 18 kinds of food to the formula and verified the degree of coincidence with the actual postprandial glucose change. Then, the mean absolute relative difference (MARD) between the predicted value and the measured value was calculated for each food (n = 18) and for each subject (n =159) in the 18 tests. In a subclass analysis, subjects were divided into three groups: top 25% (n = 42, iAUC; 7,379.9 ± 146.5), middle (n = 75, iAUC; 5,302.7 ± 73.5), and bottom 25% (n = 42, iAUC; 3,243.9 ± 61.5), based on iAUC at standard food intake. Pearson's correlation analysis was used to test the correlation between predicted and measured values, and Turkey's HSD test was used to analyze MARD. Results: In the simulation of the food intake test (18 types), a highly positive correlation of r = 0.7 was observed between the predicted and measured value, and the average MARD was less than 15%. A subclass analysis showed the MARD in the top 25% group were lower than those in the bottom 25% group (p < 0.05). Conclusion: A high correlation was found between the predicted value from the model formula and the measured value. Among them, the accuracy of prediction tended to be higher as the data of the subjects whose blood glucose was more likely to rise.
- DOI
- 10.24659/gsr.7.4_268
- オンライン閲覧公開範囲
- インターネット公開
- 連携機関・データベース
- 科学技術振興機構 : J-STAGE
- 要約等
- Objective: One of the methods for reducing glycative stress is to suppress postprandial hyperglycemia (PPHG). The purpose of this study is to establish a non-invasive and easy-to-implement means for suppressing PPHG. Based on the results of the past intake tests of various foods, a model formula for predicting the degree of PPHG from food contents was created. Methods: A model formula was created to predict the indices for PPHG, <i>i.e.</i> iAUC (incremental area under the curve), ΔCmax (maximum blood glucose concentration), based on iAUC (mg/dL·min) or ΔCmax when ingested a standard food (<i>i.e.</i>, cocked rice, udon, and bread) and the nutritional component of the test food. The past results of the model food intake test in our laboratory were used to create the predictive model formula. We applied 18 kinds of food to the formula and verified the degree of coincidence with the actual postprandial glucose change. Then, the mean absolute relative difference (MARD) between the predicted value and the measured value was calculated for each food (n = 18) and for each subject (n =159) in the 18 tests. In a subclass analysis, subjects were divided into three groups: top 25% (n = 42, iAUC; 7,379.9 ± 146.5), middle (n = 75, iAUC; 5,302.7 ± 73.5), and bottom 25% (n = 42, iAUC; 3,243.9 ± 61.5), based on iAUC at standard food intake. Pearson's correlation analysis was used to test the correlation between predicted and measured values, and Turkey's HSD test was used to analyze MARD. Results: In the simulation of the food intake test (18 types), a highly positive correlation of r = 0.7 was observed between the predicted and measured value, and the average MARD was less than 15%. A subclass analysis showed the MARD in the top 25% group were lower than those in the bottom 25% group (p < 0.05). Conclusion: A high correlation was found between the predicted value from the model formula and the measured value. Among them, the accuracy of prediction tended to be higher as the data of the subjects whose blood glucose was more likely to rise.
- DOI
- 10.24659/gsr.7.4_268
- 関連情報（URI）
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- Japan Link Center雑誌記事索引データベース雑誌記事索引データベースCiNii Articles
- 書誌ID（NDLBibID）
- 03148493511703329
- NII論文ID
- 130007964749