Nutrition coaching for children

Patent metadata

Field	Value
Publication number	US-2017354351-A1
Application number	US-201515527339-A
Country	US
Kind code	A1
Filing date	Nov 20, 2015
Priority date	Nov 21, 2014
Publication date	Dec 14, 2017
Grant date	—

Abstract

In an embodiment, an apparatus ( 42 ) that provides advice on nutritional and caloric intake requirements for a child based on the child's current growth phase activity behavior and status corresponding to the child's current body mass index, the nutritional requirements determined in terms of a ratio of nutrient components that are tailored to the growth phase of the child.

First claim

1 . An apparatus, comprising:
a processing circuit configured to:
receive plural inputs corresponding to growth data, activity behavior data, and nutritional data;
determine a growth phase of a child from among a plurality of growth phases based on the growth data of the child, the growth data comprising at least a current age and current dimension of the child;
determine a status corresponding to a current body mass index for the child based on the growth data;
determine activity behavior for the child;
determine nutritional requirements and caloric intake requirements personalized for the child based on the determinations of the growth phase, the status, the activity behavior, and nutritional data, the nutritional requirements comprising plural nutrient components for one of a respective plurality of age groups, wherein a ratio for each of the plural nutrient components differs among the plurality of age groups; and
provide advice on the nutritional requirements and the caloric intake requirement personalized for the child.

2 . The apparatus of claim 1 , wherein the processing circuit is configured to determine the activity behavior based on receiving the activity behavior data corresponding to a recorded physical activity level of the child defined according to one of a plurality of levels of physical activity, and wherein the processing circuit determines the status by determining whether the child is obese, overweight, normal weight, or underweight based on receiving the body mass index or based on deriving the body mass index from the growth data.

3 . The apparatus of claim 1 , wherein the processing circuit is configured to provide meal planning recommendations personalized for the child based on the nutritional requirements and the caloric intake requirements, the meal planning recommendations comprising one or any combination of the following: food selection, food preparation, meal timing, food ingredients, food portions, relative food proportion, nutrient levels, and proportion of nutrients.

4 . The apparatus of claim 3 , wherein the processing circuit is further configured to provide the meal planning recommendations based on additional input, wherein the meal planning recommendations for the child in a first growth phase of the plurality of growth phases are different than the meal planning recommendations for the child in a second growth phase of the plurality of growth phases.

5 . The apparatus of claim 1 , wherein the processing circuit is further configured to determine the nutritional requirements and caloric intake requirements based on computing and comparing growth rates of the child over plural periods of time.

6 . The apparatus of claim 1 , wherein the processing circuit is further configured to determine the growth phase by comparing growth data for peer age groups with the growth data of the child over the plurality of growth phases.

7 . The apparatus of claim 1 , wherein the growth data includes one or any combination of weight, height, body mass index, gender, age, and girth of the child.

8 . The apparatus of claim 1 , wherein the processing circuit is configured to receive the growth data based on manual input, sensor data, or a combination of manual input and sensor data.

9 . The apparatus of claim 1 , wherein the processing circuit is configured to receive activity behavior data based on manual input, sensor data, or a combination of manual input and sensor data, wherein the processing circuit determines that the activity behavior falls within one of plural predefined categories of activity levels based on the activity behavior data.

10 . The apparatus of claim 1 , wherein the processing circuit is coupled to a storage device (STOR DEV) that stores the nutritional data, the growth data, and the activity behavior data.

11 . The apparatus of claim 1 , wherein the processing circuit is further configured to receive the growth data, behavioral data, and nutritional data over either the Internet, or over a wired or wireless connection from a co-located device.

12 . The apparatus of claim 1 , wherein the processing circuit is further configured to cause an automated ordering of food corresponding to the meal planning recommendations.

13 . A method, comprising:
receiving, at a processor, plural inputs corresponding to growth data, activity behavior data, and nutritional data; determining, by the processor, a growth phase of a child from among a plurality of growth phases based on the growth data of the child, the growth data comprising at least a current age and current dimension of the child; determining, by the processor, a status corresponding to a current body mass index for the child based on the growth data; determining, by the processor, activity behavior for the child; determining, by the processor, nutritional requirements and caloric intake requirements personalized for the child based on the determinations of the growth phase, the parameter, the activity behavior, and the nutritional data, the nutritional requirements comprising plural nutrient components for one of a respective plurality of age groups, wherein a ratio for each of the plural nutrient components differs among the plurality of age groups; and providing, via a display, advice on the nutritional requirements and the caloric intake requirement personalized for the child.

14 . The method of claim 13 , further comprising providing, via a display, meal planning recommendations personalized for the child based on the nutritional requirements and the caloric intake requirements.

15 . A computer program product that enables a processing circuit to carry out the method of claim 14 .

Assignees

• Koninklijke Philips Nv

Inventors

• Krans Jan Martijn
• Schut Maria Helena
• De Vries Judith Hendrika Maria
• Schmalz Anastasia

Classifications

• G09B19/0092

  Nutrition · CPC title

• A61B5/486

  Biofeedback (using electroencephalography [EEG] A61B5/375) · CPC title

• A61B5/4866

  Evaluating metabolism (using breath test A61B5/083) · CPC title

• A61B2503/06

  Children, e.g. for attention deficit diagnosis · CPC title

• A61B5/1118 Primary

  Determining activity level · CPC title