Riddhi Singhvi

Predicting Postprandial Glucose Rise From Macronutrients, Clinical Features, and Gut Microbiome Indices

Postprandial glucose depends on the meal and the person consuming it. This exploratory secondary analysis used 1,047 isolated meals from 32 CGMacros participants with complete nutrition, clinical, microbiome, and Fitbit records to test whether information beyond macronutrients im...

Meal Scoring Rules and Postprandial Glucose Responses Within and Between Participants in CGMacros

Background. Meal scores are commonly interpreted as describing both the glycemic burden of a meal and the metabolic risk of the person eating it. Those claims require different analyses. Objective. To compare seven meal scoring rules after separating associations among meals eate...

Moving After Meals: Timing of Free-Living Activity and Postprandial Glycemia in CGMacros

Background. Controlled studies show that walking after meals can lower glucose, but free-living wearable records do not represent assigned exercise. Objective. To test whether meal-to-meal variation in wrist-derived metabolic equivalents (METs) was associated with two-hour glucos...

Blood Glucose Forecasting on OhioT1DM: Evaluation-Protocol Effects, Tree Baselines, and Limited Incremental Predictive Value of Heart Rate

The forecasting accuracy on the OhioT1DM benchmark for blood glucose varies widely between reports, and differences in the evaluation protocols employed limit comparability across studies. Using the six participants of the 2018 cohort, this study held one gradient-boosted tree co...

Blood Glucose Forecasting on OhioT1DM: Evaluation-Protocol Effects, Tree Baselines, and Limited Incremental Predictive Value of Heart Rate

The forecasting accuracy on the OhioT1DM benchmark for blood glucose varies widely between reports, and differences in the evaluation protocols employed limit comparability across studies. Using the six participants of the 2018 cohort, this study held one gradient-boosted tree co...