Diet Quality Photo Navigation

• US 20170243513A1
• Filed: 08/24/2016
• Published: 08/24/2017
• Est. Priority Date: 02/19/2016
• Status: Abandoned Application

• Current Assignee: David L. Katz
• Original Assignee: David L. Katz
• Inventors: Katz, David L.
• Application Number:
  US15/246,146
• Publication Number:
  US 20170243513A1
• Time in Patent Office: Days
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 29/00 Maps; Plans; Charts; Diagrams, e.g. route diagram star maps G09B27/04; devices for holding or supporting maps A47B97/02; for computing purposes G06G1/14, G09B1/16; display boards G09F

Abstract

A method for translating levels of diet quality into photographic representations of dietary pattern. The method includes the steps of (a) using a diet quality measure to identify a plurality of dietary patterns that each represent a level of diet quality for a period of time; (b) assigning a dietary score to each of the plurality of dietary patterns; (c) converting the plurality of dietary patterns into representative dietary patterns; and (d) converting the representative dietary patterns into food photographs. The food photographs depict the photographic representation of the dietary patterns for the period of time. The photographic representations of dietary patterns can be used to establish an individual or household'"'"'s dietary pattern and can be incorporated into programs to navigate a user from a current dietary pattern to a more optimal dietary pattern.

Claims

1. A method for translating levels of diet quality into photographic representations of dietary pattern, the method comprising the steps of:

a) using a diet quality measure to identify a plurality of dietary patterns that each represent a level of diet quality for a period of time;

b) assigning a dietary score to each of the plurality of dietary patterns;

c) converting the plurality of dietary patterns into representative dietary patterns; and

d) converting the representative dietary patterns into food photographs,

wherein the food photographs depict the photographic representation of the dietary patterns for the period of time.

2. The method according to claim 1, wherein the period of time is at least one day, at least several days, one week, several weeks, one month, several months, or one year.

4. The method according to claim 1, wherein the food photographs are arranged in an expandable diet quality map, wherein the diet quality map comprises cells representing variations in diet quality and diet character, wherein neighboring cells in the diet quality map are separated by differential dietary components.

5. The method according to claim 4, wherein the differential dietary components comprises one or more of differences in food, beverage and behavior.

6. The method according to claim 4, wherein the neighboring cells differ by increments of diet quality or increments of diet character.

7. The method according to claim 4, comprising the step of developing an expandable inventory of customized diet quality sub-maps, wherein the diet quality sub-maps are based on specific dietary preferences or priorities.

3. The method according to claim 3, wherein the period of time is one week.

8. A method for translating a diet quality score and specification of diet characteristics into a photographic representation of a dietary pattern, the method comprising the steps of:

a) using a diet quality measure and a specification of diet characteristics to identify a plurality of dietary patterns that each represent a level of diet quality;

b) assigning a dietary score to each of the plurality of dietary patterns;

c) converting the plurality of diet patterns into representative dietary patterns; and

d) converting the representative dietary patterns into food photographs,

wherein the food photographs depict the photographic representation of the representative dietary patterns.

9. The method according to claim 8, comprising the step of translating a food photograph into a corresponding, objective, validated diet quality score by a chosen metric.

10. The method according to claim 9, wherein the metric comprises an equation to determine basal metabolic rate.

11. A computer system for evaluating and customizing diet quality, the computer system comprising:

a. a user interface;

b. a photographic library comprising an expandable archive of food photographs, wherein each of the food photographs in the expandable archive of food photographs depict a photographic representation of a dietary pattern for a period of time;

c. a database comprising information related to dietary patterns and nutrient data;

d. a user information system for allowing a user to enter user data related to the user with the user interface;

e. a selecting system for allowing the user to select one or more food photographs from the photographic library; and

f. a processor, wherein said processor is capable of translating a food photograph into a corresponding, objective, validated diet quality score by a chosen metric.

12. The computer system according to claim 11, wherein each of the food photographs in the photographic library is expandable into a series of N closely related photographs, wherein N closely related photographs differ by differential dietary components, whereby a user can select a food photograph that more closely approximates the user'"'"'s current dietary pattern for a period of time.

13. The computer system according to claim 11, wherein the processor is capable of generating user specific guidance to assist the user in navigating from the user'"'"'s current dietary pattern to a goal dietary pattern.

14. The computer system according to claim 13, wherein navigational steps for assisting the user in navigating to the goal dietary pattern are compiled that represent changes in habitual food and beverage intake.

15. The computer system according to claim 13, wherein the user specific guidance comprises a set of modifications in dietary habits, wherein the dietary habits include one or more of suggested foods, beverages and behaviors.

16. The computer system according to claim 13, wherein the user specific guidance comprises at least one of tips for shopping, tips for travel, ingredient selection, recipes, menu planning, and combinations of one or more of the foregoing.

17. A computer implemented method for use with the computer system described in claim 11, the method comprising the steps of:

a) using the interface to select a food photograph from the plurality of food photographs that approximates the person'"'"'s current dietary pattern for a period of time;

b) entering data in the user information system, wherein the data comprises one or more of height, weight, age, sex, and habitual activity level; and

c) calculating current dietary pattern using the information obtained in steps b) and c) using a formula for calculating calorie requirements.

18. The computer implemented method according to claim 17, further comprising the step of using the user interface to select a food photograph from the plurality of food photographs that approximates the person'"'"'s goal dietary pattern for a period of time, wherein the goal dietary pattern differs from the current dietary pattern by diet quality or diet character.

19. The computer implemented method according to claim 18, wherein output is delivered to the user comprising navigational steps to move from the current dietary pattern to the goal dietary pattern.

20. The computer implemented method according to claim 19, wherein the navigational steps comprise incremental changes in customary food, beverage or behavior.

21. A method of using a photographic representation of dietary patterns to establish a household dietary pattern, the method comprising the steps of:

a) presenting a relevant photo library comprising a plurality of food photographs to a member of a household, wherein each of the food photographs in the photo library depict a photographic representation of a dietary pattern for a period of time;

b) inviting the member of the household to selects a food photograph from the plurality of food photographs that approximates the household'"'"'s current dietary pattern for a period of time;

c) obtaining data on each member of the household, the data comprising one or more of height, weight, age, sex, and habitual activity level; and

d) calculating the household dietary pattern using the information obtained in steps b) and c) using a formula for calculating calorie requirements.

22. A method of using a photographic representation of dietary patterns to establish a person'"'"'s dietary pattern, the method comprising the steps of:

a) presenting a relevant photo library comprising a plurality of food photographs to the person, wherein each of the food photographs in the photo library depict a photographic representation of a dietary pattern for a period of time;

b) inviting the person to selects a food photograph from the plurality of food photographs that approximates the person'"'"'s current dietary pattern for a period of time;

c) obtaining data on the person, the data comprising one or more of height, weight, age, sex, and habitual activity level; and

d) calculating the person'"'"'s dietary pattern using the information obtained in steps b) and c) using a formula for calculating calorie requirements.