Grains <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Pastas: Spaghetti, macaroni, etc <\/td> | 37% <\/td> | - 0.16 <\/td> | + 1.75 <\/td> | x 0.8 (80 g) <\/td> | + 2 (+ 1.4) 344 kcal <\/td><\/tr> |
Pizzas: Pizza, calzone, focaccia, piadina, etc <\/td> | 23% <\/td> | + 4.3 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Rice: Risotto, boiled rice, rice salad <\/td> | 18% <\/td> | + 0.7 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Baked pasta: Lasagna, cannelloni, pasta al forno, etc <\/td> | 10% <\/td> | + 3.3 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Stuffed pasta (meat or vegetarian): Ravioli, tortellini, agnolotti, etc <\/td> | 7% <\/td> | + 4.1 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Dumplings: Gnocchi <\/td> | 5% <\/td> | + 2.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Meats <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Steak (beef and veal): Bistecca <\/td> | 24% <\/td> | +9.8 <\/td> | + 9.7 <\/td> | x 1.0 (100 g) <\/td> | + 10 (+ 9.7) 166 kcal <\/td><\/tr> |
Roast beef: Arrosto <\/td> | 21% <\/td> | +6.1 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Roast chicken or turkey: Pollo o tacchino arrosto <\/td> | 21% <\/td> | +9.7 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Fish (tuna, sea bass, etc): Tonno, orata, etc <\/td> | 15% <\/td> | +13.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Breaded and fried veal chop: Cotoletta <\/td> | 11% <\/td> | +11.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Pork chop: Cotoletta, costine, etc <\/td> | 8% <\/td> | +11.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Cured meats <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Ham: Prosciutto, coppa, mortadella, etc <\/td> | 50% <\/td> | + 15.3 <\/td> | + 12.5 <\/td> | x 0.5 (50 g) <\/td> | + 6 (+ 6.2) 112 kcal <\/td><\/tr> |
Salami: Salame <\/td> | 25% <\/td> | + 10.7 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Dried salted beef: Bresaola <\/td> | 13% <\/td> | + 9.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Pork sausage: Salsiccia <\/td> | 8% <\/td> | + 9.01 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Bacon: Pancetta <\/td> | 4% <\/td> | + 7.23 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Eggs <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Baked eggs <\/td> | 33% <\/td> | + 10.0 <\/td> | + 7.92 <\/td> | x 0.5 (50 g) <\/td> | + 4 (+ 3.9) 92 kcal <\/td><\/tr> |
Omelette: Frittata <\/td> | 66% <\/td> | + 7.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Cheeses <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Parmesan: Parmigiano <\/td> | 27% <\/td> | + 23.4 <\/td> | + 17.1 <\/td> | x 0.5 (50 gr) <\/td> | + 10 (+ 8.5) 161 kcal <\/td><\/tr> |
Mozzarella <\/td> | 27% <\/td> | + 16.7 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Crescenza <\/td> | 23% <\/td> | + 8.5 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Emmenthal <\/td> | 11% <\/td> | + 21.6 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Scamorza <\/td> | 6% <\/td> | + 13.4 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Fontina <\/td> | 6% <\/td> | + 19.3 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Legumes <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Peas <\/td> | 50% <\/td> | 0.0 <\/td> | - 2.0 <\/td> | x 1.0 (100 g) <\/td> | - 2 (- 2.0) 137 kcal <\/td><\/tr> |
Beans <\/td> | 50% <\/td> | - 4.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Potatoes <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Baked potatoes <\/td> | 20% <\/td> | - 9.0 <\/td> | - 11.6 <\/td> | x 1.0 (100 g) <\/td> | - 10 (-11.6) 101 kcal <\/td><\/tr> |
Potato salad <\/td> | 40% <\/td> | - 9.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Fried potatoes <\/td> | 40% <\/td> | -15.6 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Vegetables <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Green salad <\/td> | 33% <\/td> | - 3.0 <\/td> | - 4.95 <\/td> | x 2.0 (200 g) <\/td> | - 10 (- 9.9) 190 kcal <\/td><\/tr> |
Vegetable soup: Minestrone <\/td> | 19% <\/td> | - 7.9 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Boiled vegetables <\/td> | 17% <\/td> | - 9.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Mixed salad <\/td> | 13% <\/td> | - 7.1 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Tomato salad <\/td> | 10% <\/td> | - 4.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
French bean <\/td> | 8% <\/td> | - 4.0 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Fruits <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Apple\/Pear <\/td> | 20% <\/td> | - 2.2 <\/td> | - 4.25 <\/td> | x 2.0 (200 g) <\/td> | - 10 (- 8.5) 86 kcal <\/td><\/tr> |
Orange <\/td> | 20% <\/td> | - 3.8 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Mandarin <\/td> | 18% <\/td> | - 3.8 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Peach <\/td> | 16% <\/td> | - 4.5 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Banana <\/td> | 14% <\/td> | - 6.5 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Apricot <\/td> | 12% <\/td> | - 6.2 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Milk and dairies <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Milk <\/td> | 60% <\/td> | + 0.14 <\/td> | + 0.94 <\/td> | x 1.25 (125 g) <\/td> | + 1 (+1.2) 117 kcal <\/td><\/tr> |
Yogurt <\/td> | 20% <\/td> | + 0.34 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Ice cream <\/td> | 20% <\/td> | + 3.95 <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Bread <\/td> | <\/td> | <\/td> | <\/td> | <\/td> | <\/td><\/tr> |
Bread <\/td> | 100% <\/td> | + 2.31 <\/td> | + 2.31 <\/td> | x 0.5 (50 g) <\/td> | + 1 (+1.5) <\/td><\/tr><\/tbody><\/table><\/div>\t<\/p>\nLAKE Food Scoring Time Period<\/h3>\nScores are calculated each day. By collecting the number of servings of each food group. Then calculating separate totals for all positive (acid-forming) and all negative (alkalizing) food groups. Note, this study is concerned with explaining the value and reliability of LAKE scoring. So if you want actual numbers for a typical day, ask me to review the related studies.<\/p>\n LAKE Score Food Groups<\/h3>\nThe simplicity of LAKE food scoring is achieved by using averages of food groups. So this saves having to lookup each individual food item as we have to with PRAL food scoring.<\/p>\n In my discussions with other people, the food group scores have been the most controversial aspect. But for now all I ask is that you study the numbers in the table above. Then contact me if you have problems understanding how the LAKE calculations work. Because we will discuss alternative ways to apply different scores later. But you can’t adapt those scores for food groups if you don’t understand them.<\/p>\n LAKE Score Food Measures<\/h3>\nThe LAKE score is measured by totaling individual scores for all servings of each food group. Now the serving sizes used in this study are clearly marked in the table. But people have raised problems with measuring serving sizes in the real world.<\/p>\n Again I say focus on the methods and principles from this study for now. Because this is another area we can adapt for ALKAscore. <\/p>\n LAKE Food Score Targets<\/h3>\nAs I mentioned, this study explains the LAKE score methods. So there is little information about interpreting results. But there is one significant point from this study…<\/p>\n In particular the number of foods with positive score should be kept lower than 10 in any case.<\/p><\/blockquote>\n
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