In a recent article, researchers used a digital cohort to implement a personalized nutrition study.
By Neha MathurAug 22 2023Reviewed by Sophia Coveney In a recent article posted to the medRxiv* server, researchers used a digital cohort to implement a personalized nutrition study.
Background Most nutritional epidemiology studies studied the effects of nutrition and a healthy diet at the population level, which informed dietary recommendations and guidelines. More recently, some scientific studies have found the link between microbiota composition and the health benefits of a nutritious diet, thus, raising the potential of personalized nutrition.
Thus, nutritional studies examining the association of blood glucose response, specifically postprandial glucose response and insulin resistance that characterize type 2 diabetes, need data on all relevant factors, preferably in situ and continuously. Related StoriesThis study had enrolment, preparatory, tracking, and follow-up phases. Following screening via a short questionnaire in the enrolment phase, a research team member enrolled an eligible participant into this study and instructed them to fill out a series of questionnaires on the “Food & You” website.
Participants were divided into two sub-cohorts digitally: sub-cohort “Basic” cohort B) and sub-cohort “Cycle” . These cohorts consisted of non-diabetic participants and non-diabetic women of reproductive age not on hormonal medication or contraceptives, respectively.Per the study protocol, all participants consumed standardized breakfasts from days 2 to day 7 during the first week and refrained from physical activity for the next two hours.
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