System and method for calculating optimal performance and weight classification

• US 8,272,872 B2
• Filed: 09/25/2007
• Issued: 09/25/2012
• Est. Priority Date: 06/27/2002
• Status: Active Grant

• Current Assignee: FloSports, Inc.
• Original Assignee: National Wrestling Coaches Association
• Inventors: Utter, Alan, Nieman, David, Brittingham, Mark
• Primary Examiner(s): Utama, Robert J
• Application Number:
  US11/861,069
• Publication Number:
  US 20080140713A1
• Time in Patent Office: 1,827 Days
• Field of Search: 434/127, 434/238
• US Class Current: 434/127
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices

Abstract

A website providing a weight, activity and nutritional program over a network. The website allows users to input an assessment of a subject, which can be used to generate a condition overview and a weight plan for the subject. The weight plan can include minimum weights for the subject, each of the minimum weights being associated with a time. The website can also be used to generate a nutrition plan based on the subject data entered, and to enter and monitor activity data.

Claims

1. A system for conducting a weight assessment and classification program over a network, comprising:

one or more servers connected to the network;

one or more databases on said server or servers;

a data entry program, said program providing a menu of data entry options on a user access port connected to the network, at least one of the data entry options allowing entry of data for generating an assessment of a subject, said data being stored in one or more of said databases;

further wherein said system determines a weight-based classification rating for the subject based on the percentile ranking of the subject in relation to reference group;

further wherein said system generates a weight plan on a server connected to the network based on the subject assessment data and weight-based classification rating, the weight plan including a plurality of target weights for the subject, each of the target weights being associated with a time, and further wherein the weight plan is generated by a method comprising;

(a) determining a first minimum target weight using the subject'"'"'s body weight, body fat percentage, and fat weight; and

(b) iteratively decreasing the first minimum target weight by a constant factor, each successive decrease in the first minimum target weight corresponding to a successive minimum target weight for a successive time period; and

further wherein said system further comprises an option to appeal a weight plan to a governing body.

2. The system of claim 1, the method of generating the weight plan further comprising the step of:

allowing entry of data concerning activity of the subject.

3. The system of claim 1, the method of generating the weight plan further comprising the steps of:

generating a nutritional plan based on the subject data entered, wherein generating the nutrition plan comprises;

providing a series of food exchange item displays to the user;

receiving food exchange item selections from the user; and

generating a nutritional plan based on the selections.

4. The system of claim 1, wherein the body fat percentage is calculated as [4.57/body density−

4.142]*100.

5. The system of claim 1, wherein fat weight is calculated as:

[subject'"'"'s body weight*(body fat percentage/100)].

6. The system of claim 1, wherein the first minimum weight value is calculated as the larger of:

[(fat free weight/f) and ((subject'"'"'s body weight)−

(subject'"'"'s body weight*c*time))]))], where f is a factor that describes the minimum body fat allowed and c is a constant that describes the maximum body weight loss per time period as a factor of body weight.

7. The system of claim 1, wherein subject data entry options include skinfold measurements.

8. The system of claim 1, further comprising a user interface for monitoring the subject'"'"'s weight over the network.

9. The system of claim 1, wherein generating the weight plan comprises the steps of:

determining a first minimum target weight using the subject'"'"'s body mass index, triceps skinfold measurements, and subscapular skinfold measurements; and

iteratively decreasing the first minimum target weight by a constant factor, each successive decrease in the first minimum target weight corresponding to a successive minimum target weight for a successive time period.

10. The system of claim 8, wherein the subject'"'"'s weight is monitored by someone other than the subject.

11. The system of claim 8, wherein the step of monitoring comprises receiving actual weight data about the subject, and comparing the actual weight data to a corresponding target weight generated by the weight plan.

12. The system of claim 11, further wherein the step of monitoring comprises modifying the weight plan based upon the comparison of the actual weight data to a corresponding target weight.

13. The system of claim 12, wherein the modification of the weight plan comprises recalculating a new series of targets weights going forward using the actual weight substituted for the initial body weight or the weight last used to calculate or modify the weight plan.

14. The system of claim 12, wherein the weight plan is modified only if the actual weight is greater than the corresponding target weight where the weight plan is a weight loss plan, or if the actual weight is less than the corresponding target weight where the weight plan is a weight gain plan.

15. The system of claim 11, wherein the actual weight data is weight data measured at a weigh-in for a subject that is an athlete.

16. The system of claim 1 wherein the constant factor is 0.015.

17. The system of claim 1 wherein the weight-based classification is determined from the subject'"'"'s height, weight, body mass index, triceps skinfold measurements, subscapular skinfold measurements, waist circumference, and percentage of body fat.

18. The system of claim 1 wherein the system is capable of generating an alpha master report for a school comprising:

A. an alpha weight and/or an alpha body fat for each student assessed by the school;

B. a target weight and/or a target body fat for each student assessed by the school; and

C. a first date at which the target weight or target body fat may be met by each student assessed by the school.

19. The system of claim 18 wherein the system is further capable of generating report comprising a weight management plan for each student assessed by the school.