A method for recommending foods to a user based on health data, including - maintaining a database of users that stores (i) for at least some users, a diet type vector for each user comprising macronutrient and micronutrient ranges determined based on decision logic from the user's health data, including vitals, genotypical and phenotypical data, (ii) user food preference data, and (iii) food data including macronutrient and micronutrient data corresponding to foods that may be recommended to a user, - at the request of a requesting user, filtering the food data based on the user's diet type vector and the user food preference data for the requesting user to determine a set of available foods; - when the requesting user's diet type vector matches foods included in the food data, including the matching foods in a list of available foods for the requesting user as part of the filtering; - excluding a food from the list of available foods for the requesting user if the food does not match the requesting user's preference data as part of the filtering; wherein the phenotypical data includes metabolic adaptability information determined through analysis of the user's blood following consumption of a multi-nutrient challenge beverage, wherein the multi-nutrient challenge beverage includes a) from 44 to 57 grams total fats; b) 75 ± 15 grams total carbohydrates; and c) 20 ± 3 grams total protein, and wherein the method comprises measuring the metabolic adaptability information of a user. - maintaining a database of users that stores (i) for at least some users, a diet type vector for each user comprising macronutrient and micronutrient ranges determined based on decision logic from the user's health data, including vitals, genotypical and phenotypical data, (ii) user food preference data, and (iii) food data including macronutrient and micronutrient data corresponding to foods that may be recommended to a user, (i) for at least some users, a diet type vector for each user comprising macronutrient and micronutrient ranges determined based on decision logic from the user's health data, including vitals, genotypical and phenotypical data, (ii) user food preference data, and (iii) food data including macronutrient and micronutrient data corresponding to foods that may be recommended to a user, - at the request of a requesting user, filtering the food data based on the user's diet type vector and the user food preference data for the requesting user to determine a set of available foods; - when the requesting user's diet type vector matches foods included in the food data, including the matching foods in a list of available foods for the requesting user as part of the filtering; - excluding a food from the list of available foods for the requesting user if the food does not match the requesting user's preference data as part of the filtering; wherein the phenotypical data includes metabolic adaptability information determined through analysis of the user's blood following consumption of a multi-nutrient challenge beverage, wherein the multi-nutrient challenge beverage includes a) from 44 to 57 grams total fats; b) 75 ± 15 grams total carbohydrates; and c) 20 ± 3 grams total protein, and wherein the method comprises measuring the metabolic adaptability information of a user. wherein the phenotypical data includes metabolic adaptability information determined through analysis of the user's blood following consumption of a multi-nutrient challenge beverage, wherein the multi-nutrient challenge beverage includes a) from 44 to 57 grams total fats; b) 75 ± 15 grams total carbohydrates; and c) 20 ± 3 grams total protein, and wherein the method comprises measuring the metabolic adaptability information of a user. <EOS>