Eating Healthy

Nutrition Scoring Defined

by
Todd Whitaker

After a year of development, Nutrilyze is proud to present its unique algorithm that personalizes nutrition.

The Nutrilyze Meal Scoring Algorithm is a comprehensive nutritional analysis that translates dietary guidelines and nutrition science into a mathematical model for evaluating the nutritional density and quality of meals. The algorithm analyzes macronutrients (protein, carbohydrates, fats, and fiber) and 23 micronutrients (Vitamin D, Vitamin B12, Magnesium, Zinc, etc…). It distinguishes between healthy and unhealthy types of fats and sugars, and accounts for protein quality by analyzing amino acid content.

The combination of nutrients healthiest for each person varies and is primarily based on their weight, height, age, gender, activity level, and weight goals. Standardized nutrient labels found on packaged foods are based on a general 2,000 calorie diet and do not account for the personal needs of the individual. Nutrilyze recognizes this and adjusts scores based on a user’s specific dietary needs.

A common, pervasive misperception exists that low caloric content correlates with healthy eating. In reality, these low calorie “healthy” options are often loaded with unhealthy ingredients or do not provide the necessary nutrients to sustain a healthy, active lifestyle. The scores generated by the Nutrilyze algorithm do account for calories but also delve deeper into the nutrient density and quality of each food, incorporating a comprehensive array of nutritional needs that is not confined to simple calorie counting.

Nutrilyze quantifies and summarizes a complex array of nutrient values and dietary guidelines into a score ranging from 0 to 100. Most meals contain a combination of healthy and unhealthy components. To account for this each score is composed of three different values: macronutrient sufficiencies, micronutrient sufficiencies, and detriments. Sufficiency scoring measures the quantity and quality of the essential nutrients that your body needs to perform and thrive. Meals with higher sufficiency scores are more likely to contain all the fuel, vitamins, and minerals that your body requires for health, vitality, and a sense of well-being. Detriment scoring measures the undesirable qualities of a meal. Excessive calories, saturated fats, added sugars, trans fat, sodium and other potentially harmful food components will trigger score penalties. Avoiding meals with low detriment scores will reduce your exposure to the foods linked to obesity, cardiovascular disease, and other chronic illness.

Nutrilyze presents this in a convenient mobile application so users can make healthy, informed choices when dining out.

It’s no secret that many chain restaurants serve unhealthy dishes. Next week on this blog we analyze 266 chain restaurant meals with our scoring model (don’t worry we won’t make you look through them all) to show some surprising results and demonstrate how Nutrilyze works.

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