Nutrition Fingerprint

recommended approach

The food and meal lists in this report have been tailored to help Steve get more of the nutrients that he is not currently getting a lot of while also helping him to meet his goal of blood sugar management with a low insulin load diet.

approach average glucose (mg/dL) average glucose (mmol/L) selected
therapeutic ketosis > 140 > 7.8
diabetes management 108 to 140 6.8 to 7.8
weight loss & blood sugar control 100 to 108 5.4 to 6.0
weight loss < 97 < 5.4
most nutrient dense < 97 < 5.4
nutrient dense maintenance < 97 < 5.4
lean bulking < 97 < 5.4
athletic performance < 97 < 5.4

micronutrient profile

The chart below shows the micronutrients provided by Steve’s diet as a proportion of the daily recommended intake (DRI) for each nutrient (including supplements).

supplements

The supplements listed below will provide Steve with the nutrients that he is not getting enough of until he is able to improve the nutrient density of his diet.

Most people do not meet the recommended intake vitamin D from their food so ensuring adequate sun exposure and vitamin D supplementation is important.

nutrient ratios

The graphs below show the key micronutrient ratios in your diet. The Nutrient Optimiser uses the micronutrient ratios as a safety check to make sure that you’re emphasising foods or meals that might worsen these micronutrient imbalances. For more details about micronutrient ratios check out article.

Omega-6 : Omega-3
6.8
Zinc : Copper
12.2
Potassium : Sodium
1.0
Calcium : Magnesium
3.4
Iron : Copper
10.1
Calcium : Phosphorus
0.6

nutrients to prioritise

Going forward, we want to prioritise the micronutrients that Steve’s is not getting a lot of. These are highlighted in the table below.

nutrient % DRI prioritize
Vitamin D 44%
Manganese 51%
Magnesium 65%
Sodium 72%
Potassium 74%
Thiamin (B1) 88%
Calcium 112%
Zinc 120%
Panto Acid (B5) 129%
Folate 143%
Phosphorus 147%
Copper 148%
Iron 149%

optimal foods for you

The foods listed below will provide Steve with the nutrients that he is currently not getting in large amounts while also aligning with his goal of diabetes management . The foods are ranked in descending order of priority (from the top of the page to the bottom).

Animal based foods

food name nutrient density energy density insulin load
sweetbread 0.5 3.18 12%
liver sausage -0.2 3.31 13%
egg yolk 0.5 2.75 18%
cream -2.2 3.40 6%
bologna -1.7 3.10 11%
liverwurst -0.7 3.26 16%
sour cream -2.2 1.98 13%
lamb brains 0.5 1.54 27%
lamb liver 5.2 1.68 48%
beef brains -0.6 1.51 22%
lamb -2.2 6.39 5%
whole egg 0.8 1.43 30%
headcheese -1.3 1.57 20%
liver pate -1.5 3.19 16%
bacon -2.3 4.17 11%
cream cheese -2.5 3.50 11%
butter -2.9 7.18 2%
bratwurst -1.5 3.33 16%
knackwurst -1.9 3.07 16%
kielbasa -2.0 3.25 15%

Seafood based foods

food name nutrient density energy density insulin load
mackerel 1.2 3.05 14%
caviar 3.2 2.64 33%

Plant based foods

food name nutrient density energy density insulin load
endive 10.5 0.17 7%
chicory greens 11.0 0.23 23%
coriander 10.6 0.23 30%
escarole 9.1 0.19 24%
alfalfa 7.2 0.23 19%
beet greens 8.3 0.22 35%
spinach 10.1 0.23 49%
arugula 8.8 0.25 45%
zucchini 7.2 0.17 40%
avocado 0.6 1.60 8%
mustard greens 5.9 0.27 36%
asparagus 8.8 0.22 50%
chives 8.5 0.30 48%
banana pepper 5.5 0.27 36%
eggplant 5.2 0.25 35%
pickles 6.0 0.12 40%
cucumber 6.0 0.12 40%
wheat bran 6.7 2.16 38%
lettuce 8.1 0.15 50%
parsley 7.8 0.36 48%
jalapeno peppers 5.0 0.27 37%
okra 7.7 0.22 50%
summer squash 6.5 0.19 45%
chard 7.7 0.19 51%
sauerkraut 5.0 0.19 39%
olives -2.2 1.45 3%
blackberries 2.6 0.43 27%
flax seed 1.4 5.34 12%
chayote 5.2 0.24 41%
radishes 5.5 0.16 43%
cauliflower 7.2 0.25 50%
yeast extract spread 9.7 1.85 59%
celery 6.9 0.18 50%
turnip greens 5.7 0.29 44%
portabella mushrooms 7.9 0.29 55%
broccoli 6.9 0.35 50%
watercress 9.9 0.11 65%
sunflower seeds 1.5 5.46 15%
coconut milk -1.5 2.30 9%
chinese cabbage 7.1 0.12 54%
corn bran -1.3 2.24 12%
artichokes 5.9 0.47 49%
hazelnuts 0.2 6.29 10%
raspberries 1.6 0.52 30%
red peppers 3.7 0.31 40%
coconut cream -1.8 3.30 8%
brazil nuts -0.1 6.59 9%
sesame seeds -0.1 6.31 10%
pili nuts -0.5 7.19 7%
pumpkin seeds 1.4 5.59 19%
collards 2.7 0.33 37%
coconut meat -1.7 3.54 10%
edamame 3.7 1.21 41%
pecans -1.1 6.91 6%
macadamia nuts -1.2 7.18 6%
pine nuts -0.3 6.73 11%
brussel sprouts 4.7 0.42 50%
white mushroom 7.9 0.22 65%
walnuts -0.5 6.19 13%
sesame butter 1.0 5.86 21%
shiitake mushroom 6.2 0.39 58%
tofu 1.4 0.83 34%
soybeans (sprouted) 4.6 0.81 49%
radicchio 8.1 0.23 68%
snap beans 6.0 0.15 58%
almonds -0.7 6.07 15%

macronutrients

The macronutrient split of Steve’s diet is shown in the chart below.

protein

Steve’s protein intake is 2.1g/kg LBM or 125g/day.

The average protein intake for all people who have had a Nutrient Optimiser analysis done is 1.9g/kg LBM, with half of the population sitting between 1.4 and 2.5g/kg LBM.

Generally accepted minimum protein intake levels are shown in the table below. Higher levels are required to support lean body mass if you are more muscular and/or more active.

The table below shows how Steve’s current protein intake compares to these accepted minimum protein intake levels based on his current lean body mass.

scenario % calories g/kg LBM for you (g/day)
minimum (starvation) ~6% 0.4 24
RDI/sedentary ~11% 0.8 48
typical ~16% 1.2 72
minimum nutrient optimiser ~24% 1.8 110
Steve 22% 2.09 125

macro targets

While Steve’s primary focus should be on nutrient density, the table below shows the macro ranges required to achieve a reasonable level of nutrition. These ranges can be entered in Cronometer as a guide.

macros lower limit upper limit
protein (g) 110 195
fat (g) 25 130
carbs (g) 0 50
energy (calories) 1850

Going forward the Nutrient Optimiser Smart Macros will adjust your macros on a weekly basis to ensure you are moving in the right direction.

net carbs, insulin load, insulinogenic calories

Steve’s food diary indicates he is eating 2280 calories per day with an insulin load of 98g/day and with 17% insulinogenic calories.

Insulin load is influenced by the amount of carbohydrate, protein and fibre. Lower levels can stabilise blood sugars. However, a very low insulin load diet can compromise nutrient density.

The table below shows the % insulinogenic and insulin load (based on Steve’s average calorie intake) for the Standard American Diet (SAD), the average of all people who have had their Nutrient Optimiser analysis done as well as typical levels for people managing diabetes and therapeutic ketosis.

approach % insulinogenic insulin load (g) net carbs (g)
typical SAD 54% 338 281
average optimiser 29% 165 73
LCHF 25% 156 63
therapeutic keto 15% 94 31
Steve 17% 98 28

daily nutrient score

The chart below shows a comparison of the nutrient density of Steve’s food log based on the harder to find 50% of the essential nutrients. Steve’s most nutrient dense day is January 08 2017 while his least nutrient-dense day is May 08 2018.

best and worst days

Steve’s food diary for the best and worst days are shown below for comparison. Steve should try to eat more of the foods towards the top and less of the ones towards the bottom of these tables.

Note: If you don't see worst and best days please upload your servings.csv file from Cronometer. Cronometer API doesn't allow individual foods to be imported.

Best Day

food name energy (kcal)
scrambled eggs with spinach and sausage 748
cheese omlette and bacon 714
ham and asparagus with cauliflower hash browns 554

Worst Day

food name energy (kcal)
buffalo style chicken salad 633
chicken/swiss roll ups w/sauteed spinach & cauliflower pilaf 947
roast beef with horseradish cream sauce 748

diet log analysis

Insulin Load (g)

Insulinogenic Calories (%)

Net Carbs (g)

Protein (g)

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