Abstract: A method for metabolic monitoring includes a processor receiving data associated with an individual from a metabolic sensor, the data comprising at least two of glucose data, ketone data and lactate data. The processor receives food intake information and physical activity information associated with the individual. The processor calculates a global metric and determines an individualized metric by correlating the food intake and the physical activity information to the global metric. The processor recommends a behavior modification based on the individualized metric.

Abstract: A method for metabolic monitoring includes a processor receiving glucose data associated with an individual from a metabolic sensor and food intake information associated with the individual. The processor calculates a plurality of global metrics. Each global metric is based on a glucose variability, a glucose load, and a post-prandial peak. The glucose variability is calculated from the glucose data associated with the individual. The processor determines an individualized metric by correlating the food intake information associated with the individual to the plurality of global metrics, and recommends a behavior modification based on the individualized metric.