Comments on: Calorie Count for Weight Loss http://www.fitho.in/calorie-count-for-weight-loss/ Weight Loss, Diet Plan, Exercise, Health Tips, Weight Gain, Muscle, Fitness, Running India Tue, 04 Dec 2012 11:05:54 +0000 hourly 1 http://wordpress.org/?v=3.1.1 By: Tzachi Knaan http://www.fitho.in/calorie-count-for-weight-loss/#comment-51597 Tzachi Knaan Wed, 17 Aug 2011 17:03:24 +0000 http://www.fitho.in/?p=12610#comment-51597 As a clinical dietitian I developed an innovative and useful tool (patent pending) for counting calories called the "Categories Method". It helps individuals track their caloric intake using simple common knowledge. According to the well-known and conventional method we need to know the caloric value of each and every component our dish or meal. For example: a Breakfast that contains a glass of orange juice, a small bagel, spread with cream cheese shall be calculated as : orange juice 90 kcal + bagel 192 kcal +cream cheese 98 kcal=total 380 kcal. This method as we know is very complicated, especially for the average patient. We need to calculate a dish that its ingredients are not straightforward such as: Cob salad or Shepherd's pie, Even a slice of pizza, it is very difficult to estimate: the percentage of fat, carbohydrate or protein a piece of pie contains let alone the caloric volume. Hence "The categories method" suggests a single categorical estimation per meal, based on a set of five categories: Category 1 less than 200 kcal Category 2 201-500 Category 3 501-800 Category 4 801-1200 Category 5 above 1200 kcal Each category represents the patients' assumption, based on his common knowledge of a meal caloric value: to calculate a daily caloric consumption we use the average value of the category (e.g., category 3: 500-800 Avg = 650 kcal). This method simplifies the process of counting calories, especially with assembled or cooked meal, it makes it easier to track any given meal even to those how are not so familiar with the caloric value of a product. On a preliminary study we found that the error of the mean is only up to 10% between the reported category and the detailed description of a meal caloric value. Furthermore I developed an iPhone application based on this concept called "CountEat.Calories" which enable users track their caloric count using a portable device. As a clinical dietitian I developed an innovative and useful tool (patent pending) for counting calories called the “Categories Method”. It helps individuals track their caloric intake using simple common knowledge.
According to the well-known and conventional method we need to know the caloric value of each and every component our dish or meal. For example: a Breakfast that contains a glass of orange juice, a small bagel, spread with cream cheese shall be calculated as : orange juice 90 kcal + bagel 192 kcal +cream cheese 98 kcal=total 380 kcal.
This method as we know is very complicated, especially for the average patient. We need to calculate a dish that its ingredients are not straightforward such as: Cob salad or Shepherd’s pie, Even a slice of pizza, it is very difficult to estimate: the percentage of fat, carbohydrate or protein a piece of pie contains let alone the caloric volume.
Hence “The categories method” suggests a single categorical estimation per meal, based on a set of five categories:
Category 1 less than 200 kcal
Category 2 201-500
Category 3 501-800
Category 4 801-1200
Category 5 above 1200 kcal
Each category represents the patients’ assumption, based on his common knowledge of a meal caloric value: to calculate a daily caloric consumption we use the average value of the category (e.g., category 3: 500-800 Avg = 650 kcal).
This method simplifies the process of counting calories, especially with assembled or cooked meal, it makes it easier to track any given meal even to those how are not so familiar with the caloric value of a product.
On a preliminary study we found that the error of the mean is only up to 10% between the reported category and the detailed description of a meal caloric value.

Furthermore I developed an iPhone application based on this concept called “CountEat.Calories” which enable users track their caloric count using a portable device.

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