Method of assisting individuals in lifestyle control programs conducive to good health

• US 20020055857A1
• Filed: 10/25/2001
• Published: 05/09/2002
• Est. Priority Date: 10/31/2000
• Status: Abandoned Application

• Current Assignee: HealtheTech, Inc.
• Original Assignee: HealtheTech, Inc.
• Inventors: Mault, James R.
• Application Number:
  US10/033,063
• Publication Number:
  US 20020055857A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/00 ICT specially adapted for the handling or processing of medical references
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method of assisting a person in a lifestyle control program conducive to good health, by storing in a database lifestyle data from a statistically large group of persons, and the correlation of such lifestyle data to good health; collecting, in a personal logging device for the person, corresponding lifestyle data of the respective person; feeding the collected lifestyle data from the personal logging device of the person to the database; performing a statistical analysis of the lifestyle data collected from the respective person, with respect to said lifestyle data of the group stored in the database, to produce an output including correlations of the lifestyle data collected from respective persons to good health; and feeding back to the person health-promoting information based on the correlations.

Claims

1. A method of assisting a person in a lifestyle control program conducive to good health, comprising:

storing in a database lifestyle data from a statistically large group of persons, and the correlation of such lifestyle data to good health;

collecting, in a personal logging device for the person, corresponding lifestyle data of the respective person;

feeding said collected lifestyle data from said personal logging device of the person to said database;

performing a statistical analysis of said lifestyle data collected from the respective person, with respect to said lifestyle data of said group stored in said database, to produce an output including correlations of said lifestyle data collected from respective persons to good health; and

feeding back to said person health-promoting information based on said correlations.

2. The method according to claim 1, wherein said health-promoting information is fed back to said person via said personal logging device of the person.

3. The method according to claim 1, wherein said database is located at a remote location from said personal logging device and communicates therewith via a communication channel.

4. The method according to claim 1, wherein said database communicates with said personal logging device via a communication channel and feeds back said individual health-promoting information to said person via said personal logging device.

5. The method according to claim 4, wherein said communication channel is the Internet.

6. The method according to claim 1, wherein said lifestyle data collected in said personal logging device includes diet data as to the food types and quantities consumed or to be consumed by the respective person.

7. The method according to claim 6, wherein said lifestyle data collected in said personal logging device further includes energy expenditure data as to the energy expended or to be expended by the respective person.

8. The method according to claim 7, wherein said energy expenditure data includes a measurement of the energy expended by the resting metabolism of the person, and a measurement of the energy expended by physical activities of the person.

9. The method according to claim 8, wherein said resting metabolism is measured by an indirect calorimeter applied to the person, and said energy expended by physical activities is measured by a physical activity sensor applied to the person.

10. The method according to claim 6, wherein said lifestyle data collected in said personal logging device further includes personal health data including the age, gender, weight and height of the respective person.

11. The method according to claim 10, wherein said personal health data further includes prior illnesses of the individual and medications being taken by the person.

12. The method according to claim 10, wherein said personal health data further includes genetic information of the respective person.

13. The method according to claim 6, wherein said lifestyle data collected in said personal logging device further includes environmental data regarding various environmental conditions of the respective person.

14. The method according to claim 1, wherein said output produced as a result of said statistical analysis also includes an indication of future health risks of the respective person.

17. The method of claim 16 further comprising the inclusion of health data, lifestyle data, and genomic data from another group of persons into the statistical analysis used to provide advice and feedback to the group of persons.

20. The method of claim 19 further comprising collecting genomic data from persons within the group of persons;

and performing statistical analysis of the health of the persons in relation to the lifestyle data and the genomic data, whereby lifestyle data and genomic data may be used to predict the health of a person.

15. A method of providing health and lifestyle advice to a person, comprising the steps of:

(a) providing the person with a lifestyle logging device;

(b) collecting lifestyle data from the person,

(c) storing the lifestyle data in a database;

(d) collecting health related data from the person;

(e) performing steps (a)-(d) for other persons within a group of persons;

(f) determining statistical correlations between the lifestyle data and the health data to good health for the group of persons; and

(g) providing feedback to the person based on said statistical correlations;

whereby statistical correlations between lifestyle data and health data for the group of persons is used to provide feedback and advice to the person.

16. A method of providing health and lifestyle advice to a person, within a group of persons, comprising:

collecting lifestyle data from the group of persons and storing it in a database;

collecting health data from the group of persons;

collecting genomic data from the group of persons;

performing a statistical analysis of the health data in relation to the lifestyle data and the genomic data, so as to determine statistical correlations between the genomic data, the lifestyle data and the health data; and

providing advice to persons within the group of persons based on the statistical correlations;

whereby persons at high risk of disease or other health problems, based on the statistical analysis, are provided with advice on lifestyle changes which would be statistically effective in reducing health risks.

18. A health maintenance method directed towards a person, comprising the steps of:

providing the person with a lifestyle logger for the collection of lifestyle data related to the person;

providing the person with access to a remote computer system, so as to collect lifestyle data from the person; and

providing suggested lifestyle changes to the person based on the collected lifestyle data, so as to statistically reduce health risks.

19. A method for predicting health risks of a person, within a group of persons, comprising the steps of:

providing each person with a lifestyle logger;

providing a communications link between each lifestyle logger and a computer system, whereby lifestyle data related to each person is accessible to the computer system;

monitoring health data related to a plurality of persons within the group of persons;

determining statistical correlations between the collected lifestyle data and the monitored health data; and

using the determined statistical correlations to provide advice to persons within the group of persons.