Product consumption recommendations

1. A system, comprising:

one or more processors; and

one or more non-transitory processor-readable media storing instructions which, when executed by the one or more processors, cause performance of:

receiving activity data from an activity monitoring device, the activity monitoring device comprising an activity sensor for tracking movement of a user during an activity;

receiving glucose data from a continuous glucose monitoring device;

determining a product consumption recommendation based on the glucose data and the activity data, wherein the product consumption recommendation includes a recommendation of when the user should consume a carbohydrate-containing product in order to maintain glucose levels within a specified target range during the activity; and

causing display of the product consumption recommendation on a display device.

2. The system of claim 1 , wherein the instructions further cause performance of:

recording an activity log including the activity data and the glucose data with respect to time.

3. The system of claim 1 , wherein the activity sensor includes one or more of:

A) a Global Positioning System receiver;

B) an accelerometer;

C) an altimeter; or

D) a heart rate monitor.

4. The system of claim 1 , wherein the activity data includes at least one of distance, elevation, steps, or cycling time.

5. The system of claim 1 , wherein the instructions further cause performance of:

receiving product data, via a user interface, regarding a carbohydrate containing product; and

recording the activity data, the glucose data and the product data with respect to time in an activity log.

6. The system of claim 5 , wherein the user interface includes a product reader including at least one of an optical reader and a wireless communications reader configured to read the product data from a package of the carbohydrate containing product.

7. The system of claim 1 , wherein the instructions further cause performance of:

determining a downward trend in the glucose data; and

determining the product consumption recommendation based on the downward trend in the glucose data.

8. The system of claim 1 , wherein the product consumption recommendation includes a recommendation of which carbohydrate containing product, from a plurality of carbohydrate containing products, the user should consume in order to maintain the glucose levels within the specified target range during the activity.

9. The system of claim 1 , wherein the instructions further cause performance of:

analyzing historical activity logs including activity data, glucose data and product data with respect to time in order to generate one or more glucose response parameters, wherein the one or more glucose response parameters represent a user's glucose response to consuming one or more carbohydrate containing products; and

determining the product consumption recommendation based on the glucose data, the activity data, and the one or more glucose response parameters.

10. The system of claim 9 , wherein the one or more glucose response parameters include at least one of a glucose change parameter, a glucose rate of change parameter, and a glucose change time delay parameter.

11. The system of claim 1 , wherein the activity monitoring device is a wrist wearable device.

12. The system of claim 1 , wherein the activity monitoring device is a smart phone in wireless communication with the continuous glucose monitoring device.

13. The system of claim 12 , wherein the smart phone is paired via Bluetooth with the continuous glucose monitoring device.

14. The system of claim 1 , wherein the continuous glucose monitoring device comprises a glucose sensor comprising a wearable patch and a sensor electrode for subcutaneous placement.

15. A processor-implemented method comprising:

receiving activity data from an activity monitoring device for tracking movement of a user during an activity;

receiving glucose data from a continuous glucose monitoring device worn by the user during the activity;

determining a product consumption recommendation based on the glucose data and the activity data, wherein the product consumption recommendation includes a recommendation of when the user should consume a carbohydrate-containing product in order to maintain glucose levels within a specified target range during the activity; and

causing display of the product consumption recommendation on a display device during the activity.

16. The method of claim 15 , further comprising:

recording an activity log including the activity data and the glucose data with respect to time.

17. The method of claim 16 , further comprising:

reading product data from a package of a carbohydrate containing product during the activity using an optical reader or a wireless communications reader;

receiving the product data; and

recording the activity data, the glucose data and the product data in the activity log with respect to time.

18. The method of claim 15 , further comprising:

analyzing one or more historical activity logs including activity data, glucose data and product data; and

determining user response parameters, wherein the user response parameters represent a user's glucose response to consuming different carbohydrate containing products during a given activity.

19. The method of claim 18 , further comprising:

determining the product consumption recommendation based on the glucose data and the user response parameters, wherein the product consumption recommendation includes a recommendation of which of the different carbohydrate containing products the user should consume in order to maintain glucose levels within a specified target range during the activity.

20. One or more non-transitory processor-readable media storing instructions which, when executed by one or more processors, cause performance of:

receiving activity data from an activity monitoring device associated with a user during an activity;

receiving glucose data from a continuous glucose monitoring device worn by the user during the activity;

determining a product consumption recommendation based on the glucose data and the activity data, wherein the product consumption recommendation includes a recommendation of when the user should consume a carbohydrate containing product to maintain glucose levels within a specified target range during the activity; and

causing display of the product consumption recommendation on a display device during the activity.