Processes and systems for achieving and assisting in improved nutrition based on food energy data and relative healthfulness data
DCFirst Claim
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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, andiv) 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.
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Abstract
Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.
67 Citations
21 Claims
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1. A process for controlling body weight in a human being, comprising:
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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, andiv) 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. - View Dependent Claims (2, 3, 4, 5)
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6. A data processing system for assisting a human being to control his or her body weight, comprising:
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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, andiv) 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. - View Dependent Claims (7, 8, 9, 10)
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11. A process for selecting a food product based on the food product'"'"'s health effect on a human being, comprising:
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(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. - View Dependent Claims (12, 13, 14, 15)
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16. A data processing system for selecting a food product based on the food product'"'"'s health effect on a human being, comprising:
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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. - View Dependent Claims (17, 18, 19, 20)
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21. A process for controlling body weight in a human being, comprising:
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(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, andiv) 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.
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Specification