Optimization of nutritional strategies using a mechanistic computational model in prediabetes: Application to the J-DOIT1 study data

• Published in: PloS one Vol. 18; no. 11; p. e0287069
• Main Authors: Chen, Julia H., Fukasawa, Momoko, Sakane, Naoki, Suganuma, Akiko, Kuzuya, Hideshi, Pandey, Shikhar, D’Alessandro, Paul, Venkatapurapu, Sai Phanindra, Dwivedi, Gaurav
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.11.2023; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Body Weight; Clinical Trials as Topic; Computer simulation; Computer-generated environments; Diabetes; Diabetes Mellitus, Type 2 - etiology; Diabetes Mellitus, Type 2 - prevention & control; Evaluation; Glycated Hemoglobin; Humans; Japan; Medicine and Health Sciences; Nutrition; Physical Sciences; Prediabetic State - complications; Prediabetic State - therapy; Prevention; Product/Service Evaluations; Risk factors; Weight Loss; Japan

Lifestyle interventions have been shown to prevent or delay the onset of diabetes; however, inter-individual variability in responses to such interventions makes lifestyle recommendations challenging. We analyzed the Japan Diabetes Outcome Intervention Trial-1 (J-DOIT1) study data using a previously...