Examination of postprandial blood glucose prediction model using food nutrition component values

• Material Type: 記事
• Title: Examination of postprandial blood glucose prediction model using food nutrition component values
• Author/Editor: Shiori Uenaka; Mari Ogura; Masayuki Yagi
• Publication, Distribution, etc.: 日本 : 糖化ストレス研究会
• Publication Date: 2020-12-31
• Publication Date (W3CDTF): 2020-12-31
• Alternative Title: 食品栄養成分値を用いた食後血糖予測モデルの検討
• Periodical title: Glycative stress research
• No. or year of volume/issue: 7(4)
• Volume: 7(4)
• ISSN (Periodical Title): 2188-3610
• ISSN-L (Periodical Title): 2188-3610
• Text Language Code: eng; jpn
• DOI: 10.24659/gsr.7.4_268; https://doi.org/10.24659/gsr.7.4_268
• Persistent ID (NDL): info:ndljp/pid/11703329; https://dl.ndl.go.jp/pid/11703329
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 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; https://dl.ndl.go.jp/collections/B00035
• Acquisition Basis: オンライン資料収集制度
• Date Accepted (W3CDTF): 2021-07-14T21:40:34+09:00
• Date Captured (W3CDTF): 2021-05-23
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://www.toukastress.jp/webj/
• Periodical Title (Persistent ID (NDL)): info:ndljp/pid/11703328; https://dl.ndl.go.jp/pid/11703328
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• Collection (particular): 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; https://dl.ndl.go.jp/collections/B00035
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Holding library: 国立国会図書館
• Call No.: Z63-D541
• Related Material (URI): https://dl.ndl.go.jp/info:ndljp/pid/11703329
• Related Material (Persistent ID (NDL)): info:ndljp/pid/11703329; https://dl.ndl.go.jp/info:ndljp/pid/11703329
• Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031484935; http://id.ndl.go.jp/bib/031484935
• Bibliographic Record Category (NDL): 632

• Summary, etc.: 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
• Access Restrictions: インターネット公開
• Data Provider (Database): 科学技術振興機構 : J-STAGE; http://www.jstage.jst.go.jp

• Summary, etc.: 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; https://doi.org/10.24659/gsr.7.4_268
• Related Material (URI): http://id.ndl.go.jp/bib/031484935; https://ndlsearch.ndl.go.jp/books/R000000004-I031484935; https://dl.ndl.go.jp/pid/11703329; http://id.ndl.go.jp/digimeta/11703329; https://search.jamas.or.jp/link/ui/2021267208
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): Japan Link Center; https://japanlinkcenter.org/top; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; CiNii Articles
• Bibliographic ID (NDL): 031484935; http://id.ndl.go.jp/bib/031484935; 11703329; http://id.ndl.go.jp/bib/11703329
• NAID: 130007964749

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