Granted Patent B2

US 8,382,482 · App. 12/550,240 · Granted Feb 26, 2013

Abstract

Claims (103)

1. A process for controlling body weight in a human being, comprising:

a) obtaining weight of protein, PRO(m), for each candidate food servings;

b) obtaining weight of fat, FAT(m), for each candidate food serving;

c) obtaining weight of non-dietary fiber carbohydrates, CHO(m), for each candidate food serving;

d) obtaining weight of dietary fiber, DF(m), for each candidate food serving;

e) inputting the obtained weights of each candidate food serving in a data processing system;

f) determining a whole number value for each candidate food serving via a processor of the data processing system, comprising:

1) determining, via the processor, food energy data for each candidate food serving, FED value, based at least in part on three of:

i) W(PRO)×Cp×PRO(m), wherein W(PRO) is a metabolic efficiency factor of protein and wherein Cp is a energy conversion factor of protein,

ii) W(FAT)×Cf×FAT(m), wherein W(FAT) is a metabolic efficiency factor of fat and wherein Cf is a energy conversion factor of fat,

iii) W(CHO)×Cc×CHO(m), wherein W(CHO) is a metabolic efficiency factor of carbohydrate and wherein Cc is a energy conversion factor of carbohydrate, and

iv) W(DF)×Cdf×DF(m), wherein W(DF) is a metabolic efficiency factor of dietary fiber and wherein Cdf is a energy conversion factor of dietary fiber;

2) dividing the determined FED value by a factor data obtained from a storage device and saving the result as whole number value for each candidate food serving;

g) determining a daily whole number benchmark data for the human being, wherein the daily whole number benchmark data for the human being is determined based on daily total energy expenditure of the human being;

h) during a day, selecting food servings from the candidate food servings, by determining via the data processing system, each candidate food serving's whole number value;

i) automatically displaying, by the data processing system, a sum of whole number values of consumed food servings via a presentation device;

j) consuming the selected food servings until the sum of whole number values of consumed food servings is less than or equal to the daily whole number benchmark data saved in said storage device; and

k) repeating at least steps (a)-(j) in successive days to control body weight.

2. The process of claim 1 , wherein W (PRO) is selected from a range 0.7<=W(PRO)<=0.9, W(CHO) is selected from a range 0.9<=W(CHO)<=0.99, W(FAT) is selected from a range 0.9<=W(FAT)<=1.0 and W(DF) is selected from a range 0<=W(DF)<=0.5.

3. The process of claim 1 , wherein W (PRO) is selected from a range 0.75<=W(PRO)<=0.88, W(CHO) is selected from a range 0.92<=W(CHO)<=0.97, W (FAT) is selected from a range 0.95<=W(FAT)<=1.0 and W(DF) is selected from a range 0<=W(DF)<=0.25, wherein PRO(m), CHO(m), FAT(m) and DF(m) are expressed in grams, and wherein Cp is selected as 4 kilocalories/gram, Cc is selected as 4 kilocalories/gram, Cf is selected as 9 kilocalories/gram and Cdf is selected as 4 kilocalories/gram.

4. The process of claim 1 , wherein the factor data is a whole number selected from a range between 20 and 100.

5. The process of claim 1 , wherein each step of obtaining PRO(m), CHO(m), FAT(m) and DF(m) comprises electronically receiving, by the data processing system, each respective weight.

6. A data processing system for assisting a human being to control his or her body weight, comprising:

a) a data gathering device, wherein the data gathering device is substantially designed to:

i) obtain weight of protein, PRO(m) for each candidate food servings,

ii) obtain weight of fat, FAT(m), for each candidate food serving,

iii) obtain weight of non-dietary fiber carbohydrates, CHO(m), for each candidate food serving, and

iv) obtain weight of dietary fiber, DF(m), for each candidate food serving;

b) at least one computer module to determine a whole number value for each candidate food serving via a processor of the data processing system, comprising:

1) computer instructions to determine, via the first processor, food energy data for each candidate food serving, FED value, based at least in part on three of:

i) W(PRO)×Cp×PRO(m), wherein W(PRO) is a metabolic efficiency factor of protein and wherein Cp is a energy conversion factor of protein,

ii) W(FAT)×Cf×FAT(m), wherein W(FAT) is a metabolic efficiency factor of fat and wherein Cf is a energy conversion factor of fat,

iii) W(CHO)×Cc×CHO(m), wherein W(CHO) is a metabolic efficiency factor of carbohydrate and wherein Cc is a energy conversion factor of carbohydrate, and

iv) W(DF)×Cdf×DF(m), wherein W(DF) is a metabolic efficiency factor of dietary fiber and wherein Cdf is a energy conversion factor of dietary fiber;

2) computer code to divide the determined FED value by a factor data obtained from a storage device and saving the result as the whole number value for each candidate food serving;

c) the at least one computer module to obtain a daily whole number benchmark data for the human being, wherein the daily whole number benchmark data is determined based on daily total energy expenditure of the human being;

d) the at least one computer module to determine, via the data processing system, each candidate food serving's whole number value;

e) the at least one computer module to automatically display, by the data processing system, a sum of whole number values of consumed food servings via a presentation device; and

f) the at least one computer module to determine whether the sum of whole number values of consumed food servings, during a day, is less than or equal to the daily whole number benchmark data saved in said storage device.

7. The system of claim 6 , wherein W (PRO) is selected from a range 0.7<=W(PRO)<=0.9, W(CHO) is selected from a range 0.9<=W(CHO)<=0.99, W(FAT) is selected from a range 0.9<=W(FAT)<=1.0 and W(DF) is selected from a range 0<=W(DF)<=0.5.

8. The system of claim 6 , wherein W (PRO) is selected from a range 0.75<=W(PRO)<=0.88, W(CHO) is selected from a range 0.92<=W(CHO)<=0.97, W (FAT) is selected from a range 0.95<=W(FAT)<=1.0 and W(DF) is selected from a range 0<=W(DF)<=0.25, wherein PRO(m), CHO(m), FAT(m) and DF(m) are expressed in grams, and wherein Cp is selected as 4 kilocalories/gram, Cc is selected as 4 kilocalories/gram, Cf is selected as 9 kilocalories/gram and Cdf is selected as 4 kilocalories/gram.

9. The system of claim 6 , wherein the factor data is a whole number selected from a range between 35 and 70.

10. The system of claim 6 , wherein the data gathering device receives PRO(m), CHO(m), FAT(m) and DF(m).

11. A process for selecting a food product based on the food product's health effect on a human being, comprising:

(a) obtaining data about nutrients of a first food product;

(b) obtaining data about nutrients of a second food product;

(c) inputting the obtained data of the first and the second food products in a data processing system;

(d) associating, by a processor of the data processing system, the first and the second food products with a metagroup, wherein the metagroup is determined based at least, in part, on:

i) a first similarity in nutrients among different food products, and

ii) a second similarity in usage of different food products within context of a specific diet, and wherein the metagroup is associated with a specific healthfulness formula stored in a storage device of the data processing system, wherein the healthfulness formula is a linear combination of at least a plurality of the following data about nutrients of a food product: i) fat content, ii) sugar content, iii) sodium content, iv) energy, v) saturated fat, and vi) dietary fiber content;

(e) calculating a first healthfulness data for the first food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

(f) calculating a second healthfulness data for the second food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

(g) comparing the first healthfulness data to the second healthfulness data via the processor of the data processing system; and

(h) providing an outcome of the comparing step which is display on a presentation device of the data processing system.

12. The process of claim 11 , wherein the first and the second food products are ranked based on each respective healthfulness data in to one of the following group:

i) most healthful, ii) less healthful; iii) even less healthful, and iv) least healthful.

13. The process of claim 11 , wherein the data about nutrients of a food product is determined, by the data processing system, based at least, in part, on a ratio of an amount of a specific nutrient in a food product to a recommended daily allowance amount for the specific nutrient based on the specific diet.

14. The process of claim 11 , wherein the similarity in nutrients among different food products is determined, by the data processing system, based on whether content of a specific nutrient in a food product falls within a pre-determined range of values for the specific nutrient.

15. The process of claim 11 , wherein the displayed outcome of the comparing step comprises unique identifier regarding the food product's health effects.

16. A data processing system for selecting a food product based on the food product's health effect on a human being, comprising:

a) a data gathering device, wherein the data gathering device is substantially designed to:

(i) obtaining data about nutrients of a first food product, and

(ii) obtaining data about nutrients of a second food product;

b) at least one computer module for associating the first and the second food products with a metagroup, wherein the metagroup is determined based at least, in part, on:

i) a first similarity in nutrients among different food products, and

ii) a second similarity in usage of different food products within context of a specific diet, and wherein the metagroup is associated with a specific healthfulness formula stored in a storage device of the data processing system, wherein the healthfulness formula is a linear combination of at least a plurality of the following data about nutrients of a food product: i) fat content, ii) sugar content, iii) sodium content, iv) energy, v) saturated fat, and vi) dietary fiber content;

c) the at least one computer module for calculating a first healthfulness data for the first food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

d) the at least one computer module for calculating a second healthfulness data for the second food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

e) the at least one computer module for comparing the first healthfulness data to the second healthfulness data via the processor of the data processing system; and

f) the at least one computer module for providing an outcome of the comparing step which is display on a presentation device of the data processing system.

17. The system of claim 16 , wherein the first and the second food products are ranked, by the data processing system, based on each respective healthfulness data in to one of the following group: i) most healthful, ii) less healthful; iii) even less healthful, and iv) least healthful.

18. The system of claim 16 , wherein the data about nutrients of a food product is determined, by the data processing system, based at least, in part, on a ratio of an amount of a specific nutrient in a food product to a recommended daily allowance amount for the specific nutrient based on the specific diet.

19. The system of claim 16 , wherein the similarity in nutrients among different food products is determined, by the data processing system, based on whether content of a specific nutrient in a food product falls within a pre-determined range of values for the specific nutrient.

20. The process of claim 16 , wherein the displayed outcome of the comparing step comprises unique identifier regarding the food product's health effects.

21. A process for controlling body weight in a human being, comprising:

(a) obtaining data about nutrients of a first food product;

(b) obtaining data about nutrients of a second food product;

(c) wherein the steps of obtaining the data about nutrients of a food product, comprise:

i) obtaining weight of protein, PRO(m), for each candidate food servings;

ii) obtaining weight of fat, FAT(m), for each candidate food serving;

iii) obtaining weight of non-dietary fiber carbohydrates, CHO(m), for each candidate food serving;

iv) obtaining weight of dietary fiber, DF(m), for each candidate food serving;

(d) inputting the obtained data of the first and the second food products in a data processing system;

e) determining a whole number value for each food product via a processor of the data processing system, comprising:

1) determining, via the processor, food energy data for each food product, FED value, based at least in part on three of:

i) W(PRO)×Cp×PRO(m), wherein W(PRO) is a metabolic efficiency factor of protein and wherein Cp is a energy conversion factor of protein,

ii) W(FAT)×Cf×FAT(m), wherein W(FAT) is a metabolic efficiency factor of fat and wherein Cf is a energy conversion factor of fat,

iii) W(CHO)×Cc×CHO(m), wherein W(CHO) is a metabolic efficiency factor of carbohydrate and wherein Cc is a energy conversion factor of carbohydrate, and

iv) W(DF)×Cdf×DF(m), wherein W(DF) is a metabolic efficiency factor of dietary fiber and wherein Cdf is a energy conversion factor of dietary fiber;

2) dividing the determined FED value by a factor data obtained from a storage device and saving the result as whole number value for each food product;

f) associating, by the processor of the data processing system, the first and the second food products with a metagroup, wherein the metagroup is determined based at least, in part, on:

i) a first similarity in nutrients among different food products, and

ii) a second similarity in usage of different food products within context of a specific diet, and wherein the metagroup is associated with a specific healthfulness formula stored in a storage device of the data processing system, wherein the healthfulness formula is a linear combination of at least a plurality of the following data about nutrients of a food product: i) fat content, ii) sugar content, iii) sodium content, iv) energy, v) saturated fat, and vi) dietary fiber content;

(g) calculating a first healthfulness data for the first food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

(h) calculating a second healthfulness data for the second food product based on the healthfulness formula of the metagroup via the processor of the data processing system;

(i) comparing the first food product to the second food product based at least, in part, on:

1) the healthfulness data of each food product, and

2) the whole number value for each food product;

j) determining a daily whole number benchmark data for the human being, wherein the daily whole number benchmark data for the human being is determined based on daily total energy expenditure of the human being;

k) providing an outcome of the comparing step;

l) automatically displaying, by the data processing system, a sum of whole number values of consumed food products, during a day, via a presentation device;

m) during the day, consuming food products until the sum of whole number values of consumed food products is less than or equal to the daily whole number benchmark data saved in said storage device; and

n) repeating at least steps (a)-(m) in successive days to control body weight.

Assignments (17)