Revision of the Choices Nutrient Profiling System
Abstract
1. Introduction
2. Rationale and Methodology
- Classification and equivalence criteria for plant-based alternatives;
- The position on NSSs;
- Alignment of iTFA criteria with WHO guidelines; and
- Consideration of whole-grain criteria.
2.1. Classification and Equivalence Criteria for Plant-Based Alternatives
- selecting data sources to determine nutrient content and to evaluate the criteria;
- selecting qualifying nutrients based on the extent to which a serving contributes to the nutrient intake and alignment with nutritional policies;
- correcting for potential differences in the bioavailability of nutrients in animal- and plant-based foods and diets;
- defining thresholds and criteria for qualifying nutrients so that, if applied, the majority of animal-based products would comply with these criteria;
- evaluate the criteria using plant-based products to assess the applicability and discriminatory power.
2.1.1. Defining Data Sources to Determine Nutrient Content in “Healthier” Animal-Based Products
2.1.2. Selecting Qualifying Nutrients
2.1.3. Account for Differences in Bioavailability
2.1.4. Define Nutritional Equivalence Criteria
2.1.5. Evaluate Nutrition Equivalence Criteria
2.2. Non-Sugar Sweeteners
2.3. Trans-Fat
2.4. Whole Grain
- whole-grain and fiber criteria;
- whole-grain instead of fiber criteria;
- whole-grain or fiber criteria.
3. Results
3.1. Plant-Based Alternatives to Meat and Dairy
3.1.1. Determining Nutrient Content
3.1.2. Selecting Qualifying Nutrients
- for cheese products: none;
- for milk products: protein quantity, Ca, B2, B12;
- for meat products: protein quantity, Fe, Zn, B2, B12;
3.1.3. Accounting for Bioavailability Differences
- 1.
- Protein
- Although protein quality and digestibility may differ between animal-source foods and their plant-based alternatives, there are practical limitations to accounting for these differences. Plant-based alternatives are produced using a wide variety of protein sources, and food labels typically do not provide quantitative information on the specific sources used. It was decided not to correct for protein quality or digestibility.
- 2.
- Calcium
- The bioavailability of calcium in plant-based beverages varies depending on Ca salt and matrix. Heany et al. [61] reported a bioavailability (in comparison to cow’s milk) of 75% for Ca3(PO4)2. Zhao [62] reported a bioavailability of 83% for Ca3(PO4)2 but ~100% for CaCO3. Biscotti et al. [63] mentioned that myo-inositol phosphates, phytate, and oxalate may interfere, as well as other vitamins and minerals, and that sedimentation of Ca salts may limit the intake. It seems that it is possible, with optimal Ca fortification, that plant-based beverages may provide an equivalent source of Ca as cow’s milk, but, to be on the safe side, it was decided to correct for bioavailability with a factor 1/75% = 1.3.
- 3.
- Iron
- Heme iron from hemoglobin and myoglobin is abundant in meat and is also highly bioavailable and readily absorbed, since it is uninhibited when digested. Beef is, on average, the highest heme iron-rich source, with an average of approximately 58% of its total Fe content being heme iron [57]. Non-heme iron has a bioavailability of 2–20%. Heme iron is two to three times more bioavailable than non-heme iron [64]. Taking an average bioavailability of 10% for non-heme iron and 30% for heme iron, the bioavailability of iron in meat was calculated: 58% × 30% + 42% × 10% = 22%. In comparison with the bioavailability in plant-based products (fortified with 100% non-heme iron) of 10%, this resulted in a correction factor of 22%/10% = 2.2.
- 4.
- Zinc
- For meat alternatives, the European Food Safety Authority (EFSA) published a report [65] regarding the average daily required intake of Zn depending on phytate intake and body weight. Plant-based diets have a roughly three-fold higher phytate intake than their nonvegetarian counterparts [66]. The EFSA study found that the average body weight Zn requirement at a phytate consumption of 1200 mg/day is 12.2 mg/day compared to the 7.25 mg/day at 300 mg of phytate per day. This resulted in a correction factor of 12.2/7.25 = 1.7.
- 5.
- B2
- Bioavailability in animal-based foods is 61% and in plant-based foods it is 65% [67]. However, further studies are needed to make meaningful comparisons. Therefore, it was decided not to correct for relative bioavailability, correction factor = 1.
- 6.
- B12
- The absorption of vitamin B12 is limited and becomes dose-dependent due to saturation effects [68,69]. At daily intakes of 4–7 µg/day, intestinal absorption plateaus, with maximum uptake reaching 1.5–3 µg per meal. The bioavailability of vitamin B12 from animal-sourced foods, such as meat and milk, is consistently high—approximately 65% [67,70]. In contrast, the bioavailability from fortified plant-based foods, such as bread and rice, is lower, averaging around 50% [71,72]. This resulted in a correction factor of 65%/50% = 1.3.
3.1.4. Determining Nutrient Thresholds
3.1.5. Defining and Evaluating Equivalence Criteria
3.2. Non-Sugar Sweeteners
3.2.1. Understanding Long-Term Health Associations with NSS Consumption
3.2.2. Policies and Regulations Related to NSSs
3.2.3. Inclusion of Non-Sugar Sweeteners in the Choices NPS
- Option 1 (strictest): Products containing NSSs are limited to Choices levels 3–5. Basic food products with NSSs could not be positioned as “healthier” (levels 1–2), and discretionary foods (e.g., SSBs) would default to the lowest levels (4–5 in a 5-level FOPNL).
- Option 2 (less strict): Products containing NSSs are downgraded by one level compared to identical products without NSSs (except those already at level 5).
3.3. Trans-Fat
3.4. Whole Grain
3.5. The Choices 2025 Criteria
- Plant-based alternatives to meat and milk products are now assessed against the same criteria as their animal-based counterparts. These products are eligible for level 1 or 2 only if they meet the established equivalence criteria. The separate food group “non-dairy milk alternatives” has therefore become redundant. For plant-based alternatives to other foods groups (e.g., cheese, fish, eggs, etc.), no specific equivalence criteria have yet been defined, but such products should be assessed using the same criteria as their animal-based equivalents.
- Products containing non-sugar sweeteners (NSSs) are downgraded by one level compared with identical products without NSSs (except those already classified at level 5).
- For industrially produced trans-fatty acids (iTFAs), products with iTFAs ≤ 1% of total fats are eligible for levels 1–5; those with 1% < iTFAs ≤ 2% are eligible for levels 4–5; and products with iTFAs > 2% of total fats are restricted to level 5. These criteria are applicable to all product groups.
4. Discussion
4.1. Plant-Based Alternatives
4.2. Non-Sugar Sweeteners
4.3. Industrial Trans-Fatty Acids
4.4. Whole-Grain
4.5. Comparison with Other Nutrient Profiling Systems
4.6. Strengths and Limitations
4.7. Policy and Research Implications
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AI | Adequate intake |
| AUSNUT | Australian Food, Supplement, and Nutrient Database |
| BMI | Body mass index |
| Choices | Choices International Foundation |
| EFSA | European Food Safety Authority |
| FBDGs | Food-based dietary guidelines |
| FOPNL | Front-of-pack nutrition labeling |
| HSR | Health Star Rating |
| ISC | Choices International Scientific Committee |
| iTFAs | Industrially produced trans-fatty acids |
| LMICs | Low- and middle-income countries |
| NCDs | Non-communicable diseases |
| NPS(s) | Nutrient profiling system(s) |
| NRF | Nutrient Rich Food Index |
| NSSs | Non-sugar sweeteners |
| PAHO | Pan American Health Organization |
| PRI | Population Reference Intake |
| RCTs | Randomized controlled trials |
| REPLACE | WHO’s action package for eliminating industrially produced trans-fats |
| SAFA | Saturated fatty acids |
| SSBs | Sugar-sweetened beverages |
| TFAs | Trans-fatty acids |
| UNICEF | United Nations International Children’s Emergency Fund |
| WGI | Whole Grain Initiative |
| WHO | World Health Organization |
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| Choices Product Group | Database | Product Groups in Dutch and Swedish Databases and Selection Criteria | N Total | n “Healthier” | % “Healthier” |
|---|---|---|---|---|---|
| Cheese products | Combined | 114 | 9 | 8 | |
| Dutch | Cheese products (73), excluded one hard cheese product from the “healthier” subset 1 | 73 | 3 | 4 | |
| Swedish | Toppings (84) (descriptions translated to English and selected only cheese products) excluded one hard cheese product from the “healthier” subset 1 | 41 | 6 | 15 | |
| Milk products | Combined | 183 | 48 | 26 | |
| Dutch | Milk products (132) (eliminated human milk and dried milk products) | 129 | 34 | 26 | |
| Swedish | Milk products (73) (descriptions translated to English and eliminated human milk, dried milk products, and plant-based dairy alternatives) | 54 | 14 | 26 | |
| Processed meat and meat products | Combined | 511 | 298 | 58 | |
| Dutch | Meat and poultry (216), Cold meat cuts (65), excluded products containing liver, kidney, tongue, or brain | 250 | 139 | 56 | |
| Swedish | Chicken/bird (44), Meat (174), Sausage (43) | 261 | 159 | 61 | |
| Plant-based milk alternatives | Combined | 42 | 30 | 71 | |
| Dutch | Dairy and meat alternatives (62) (manually selected milk alternatives) | 28 | 19 | 68 | |
| Swedish | Milk products (73) (descriptions translated to English and selected plant-based dairy alternatives) | 14 | 11 | 26 | |
| Plant-based meat alternatives | Combined | 104 | 70 | 67 | |
| Dutch | Dairy and meat alternatives (62) (manually selected meat alternatives) | 32 | 23 | 72 | |
| Swedish | Quorn, soy protein, and vegetarian products (72) | 72 | 47 | 65 |
| Choices Food Groups | Whole Grain % (Dry Weight) | Fiber Threshold (g/100 g) | ||||||
|---|---|---|---|---|---|---|---|---|
| L1 | L2 | L3 | L4 | L1 | L2 | L3 | L4 | |
| Plain noodles and pasta, flavored noodles and pasta, breads, breakfast cereals | 50 | 25 | 6.0 | 2.8 | 1.0 | 0.5 | ||
| Grains | 100 | 50 | 25 | 6.0 | 2.8 | 1.0 | 0.5 | |
| Choices Product Group | Vitamin | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SAFA | Sugar | Na | Protein | Ca | Fe | I | K | Mg | P | Se | Zn | A | D | B2 | B12 | |
| g | g | mg | g | mg | mg | µg | mg | mg | mg | µg | mg | RE µg | µg | mg | µg | |
| Cheese products | 4.1 | 3.9 | 268 | 9.7 | 100 | 0.2 | 8 | 105 | 8 | 138 | 3 | 0.4 | 86 | 0.08 | 0.18 | 0.39 |
| Dutch FCDB | 4.6 | 4.5 | 307 | 7.0 | 119 | 0.4 | 4 | 93 | 9 | 119 | 0 | 0.5 | 119 | 0.10 | 0.17 | 0.39 |
| Swedish FCDB | 3.8 | 3.6 | 248 | 11.1 | 91 | 0.1 | 10 | 111 | 8 | 147 | 4 | 0.4 | 70 | 0.07 | 0.18 | 0.39 |
| Milk products | 0.4 | 4.3 | 44 | 4.7 | 119 | 0.1 | 14 | 139 | 11 | 99 | 1.4 | 0.5 | 9 | 0.24 | 0.16 | 0.33 |
| Dutch FCDB | 0.4 | 4.3 | 44 | 4.4 | 122 | 0.1 | 14 | 136 | 11 | 94 | 1.4 | 0.4 | 10 | 0.12 | 0.16 | 0.31 |
| Swedish FCDB | 0.4 | 4.3 | 43 | 5.6 | 111 | 0.0 | 13 | 146 | 11 | 112 | 1.2 | 0.5 | 6 | 0.55 | 0.16 | 0.38 |
| Processed meat and meat products | 2.3 | 0.1 | 138 | 23.0 | 11 | 1.9 | 6 | 359 | 26 | 218 | 11.0 | 3.3 | 20 | 0.43 | 0.22 | 1.42 |
| Dutch FCDB | 2.4 | 0.2 | 123 | 24.2 | 11 | 1.6 | 4 | 417 | 26 | 227 | 11.6 | 3.4 | 23 | 0.47 | 0.17 | 1.58 |
| Swedish FCDB | 2.2 | 0.1 | 150 | 22.0 | 11 | 2.2 | 8 | 308 | 26 | 210 | 10.5 | 3.1 | 18 | 0.39 | 0.26 | 1.28 |
| Vitamin | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Protein | Ca | Fe | I 1 | K 1 | Mg 1 | P 1 | Se 1 | Zn | A | D 1 | B2 | B12 1 | |
| g | mg | mg | µg | mg | mg | mg | µg | mg | RE µg | µg | mg | µg | |
| PRIs or AIs | 58 2 | 1000 | 13.5 | 150 | 3500 | 325 | 550 | 70 | 11.5 | 700 | 15 | 1.6 | 4 |
| Contribution to PRIs or AIs | % | ||||||||||||
| 60 g cheese products | 10 | 6 | 1 | 3 | 2 | 1 | 15 | 3 | 2 | 7 | 0 | 7 | 6 |
| 200 g milk products | 16 | 24 | 1 | 18 | 8 | 7 | 36 | 4 | 8 | 2 | 3 | 20 | 16 |
| 100 g meat products | 40 | 1 | 14 | 4 | 10 | 8 | 40 | 16 | 28 | 3 | 3 | 13 | 35 |
| Protein | Ca | Fe | Zn | B2 | B12 | |
|---|---|---|---|---|---|---|
| g | mg | mg | mg | mg | µg | |
| Mean content (and standard deviation) of qualifying nutrients in “healthier” products | ||||||
| Milk products | 4.7 (2.9) | 119 (39) | 0.159 (0.042) | 0.329 (0.163) | ||
| Processed meat and meat products | 23.0 (4.3) | 1.9 (1.2) | 3.3 (1.8) | 0.216 (0.106) | 1.417 (1.411) | |
| Threshold values for animal-based products calculation method: Mean–standard deviation and rounded (B12: threshold = average × 70% and rounded) | ||||||
| Milk products | 2 | 80 | 0.1 | 0.2 | ||
| Processed meat and meat products | 19 | 0.7 | 1.5 | 0.1 | 1.0 | |
| Bioavailability correction factor for plant-based products | ||||||
| 1 | 1.3 | 2.2 | 1.7 | 1 | 1.3 | |
| Threshold values for plant-based products | ||||||
| Plant-based milk alternatives | 2 | 100 | 0.1 | 0.3 | ||
| Plant-based meat alternatives | 19 | 1.5 | 2.6 | 0.1 | 1.3 | |
| % of “healthier” products that had a nutrient content > threshold value | ||||||
| Milk products | 90 | 88 | 94 | 81 | ||
| Processed meat and meat products | 90 | 91 | 85 | 93 | 55 | |
| Plant-based milk alternatives | 50 | 63 | 57 | 67 | ||
| Plant-based meat alternatives | 24 | 74 | 19 | 49 | 0 | |
| Nutritional Equivalence Criteria | ||||
|---|---|---|---|---|
| Option | 1 | 2 | 3 | 4 |
| Milk products | 75% | 90% | 90% | 90% |
| Processed meat and meat products | 48% | 74% | 87% | 89% |
| Plant-based milk alternatives | 20% | 40% | 40% | 50% |
| Plant-based meat alternatives | 0% | 4% | 11% | 25% |
| Geographical Region | Summary of Findings |
|---|---|
| Global | WHO has developed an NPS and taxation policy strategies applicable across regions [26,76]. UNICEF recommends improvements to FBDGs and child nutrition policies [77]. |
| Africa | FBDGs for South Africa [78], Ethiopia [79], and Kenya [80] do not address NSSs. WHO Africa’s NPS prohibits marketing of NSS-containing products [81]. |
| Americas | Pan American Health Organization (PAHO)’s NPS includes NSS-containing products in regulatory, restriction, and taxation policies [82]. Chile taxes SSBs, including NSS-sweetened beverages [83]. Some states in the USA restrict sweetened beverages in schools and marketing to children [84]. |
| Europe | WHO Europe’s NPS restricts marketing to or being offered to children in schools of NSS-containing products [26]. The Nordic Keyhole label excludes products with NSSs [85]. Nutri-Score penalizes NSSs in scoring [25]. |
| Oceania | NSSs are not explicitly addressed in the Australian and New Zealand Health Star Rating system. Suggestions include clearer FBDG guidance on sweeteners to prevent reformulation toward NSSs [86]. |
| Southeast Asia | In Singapore, products with NSSs can carry the Healthier Choice Symbol but are not allowed in schools [87]. Malaysia’s SSB tax does not apply to NSSs [88]. |
| Proposed Choices Level | |||||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | Grand Total | ||
| current Choices level | 1 | 10 | 1 | 11 | |||
| 2 | 28 | 12 | 3 | 43 | |||
| 3 | 25 | 10 | 2 | 37 | |||
| 4 | 31 | 6 | 37 | ||||
| 5 | 3 | 3 | 4 | 9 | 45 | 64 | |
| Grand Total | 13 | 31 | 29 | 63 | 56 | 192 | |
| Food Group | L1 | L2 | L3 | L4 | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SAFA | Sodium | Sugar | Fiber | Energy | SAFA | Sodium | Sugar | Fiber | Energy | SAFA | Sodium | Sugar | Fiber | Energy | SAFA | Sodium | Sugar | Fiber | Energy | ||
| g/100 g | kcal/100 g | g/100 g | kcal/100 g | g/100 g | kcal/100 g | g/100 g | kcal/100 g | ||||||||||||||
| Basic food groups | |||||||||||||||||||||
| Fruits and vegetables | Fresh fruits and vegetables | All compliant | |||||||||||||||||||
| Processed vegetables | 0.10 | 7.0 | 1 | 0.25 | 8.5 | 0.9 | 0.40 | 10.0 | 0.8 | 0.65 | 11.0 | 0.7 | |||||||||
| Processed fruit | 1.1 | 11.5 | 1 | 2 | 12.5 | 0.9 | 3 | 14.0 | 0.8 | 4 | 19.0 | 0.7 | |||||||||
| Processed beans and legumes | 0.20 | 5.7 | 3.5 | 0.33 | 7.5 | 3.2 | 0.40 | 10.0 | 1.7 | 0.43 | 10.5 | 1.1 | |||||||||
| Water | Plain water, tea and coffee | 0.02 | 0.02 | ||||||||||||||||||
| Nuts and seeds | Nuts and seeds | 10.0 | 0.10 | 7.5 | 16.0 | 0.43 | 14.0 | 18.0 | 0.55 | 30.0 | 20.0 | 0.73 | 36.0 | ||||||||
| Sources of complex carbohydrates | Plain tubers used as staple | All compliant | |||||||||||||||||||
| Processed tubers used as staple | 1.1 | 0.10 | 3.0 | 2.7 | 3.0 | 0.35 | 6.5 | 2.2 | 4.0 | 0.40 | 10.0 | 1.5 | 8.0 | 1.60 | 12.0 | 0.8 | |||||
| Plain noodles and pasta | 0.10 | 4.0 | 6.0 | 0.20 | 4.2 | 2.8 | 0.48 | 5.0 | 1.0 | 0.80 | 6.0 | 0.5 | |||||||||
| Flavored noodles and pasta | 2.0 | 0.50 | 4.0 | 6.0 | 3.5 | 0.93 | 4.2 | 2.8 | 6.5 | 1.20 | 5.0 | 1.0 | 8.0 | 1.50 | 6.0 | 0.5 | |||||
| Grains | 1.2 | 0.10 | 4.5 | 6.0 | 1.5 | 0.23 | 6.0 | 2.8 | 1.8 | 0.48 | 10.0 | 1.0 | 4.0 | 1.40 | 12.0 | 0.5 | |||||
| Bread | 1.1 | 0.32 | 6.0 | 6.0 | 1.8 | 0.40 | 6.5 | 2.8 | 3.5 | 0.48 | 9.0 | 1.0 | 6.0 | 0.85 | 15.0 | 0.5 | |||||
| Breakfast cereals | 3.0 | 0.40 | 10.0 | 6.0 | 3.2 | 0.50 | 14.0 | 2.8 | 3.3 | 0.64 | 15.0 | 1.0 | 4.2 | 0.68 | 26.0 | 0.5 | |||||
| Meat and alternatives, fish, poultry, eggs | Unprocessed meat, poultry, eggs | 3.2 | 0.15 | 3.7 | 0.17 | 5.3 | 0.40 | 7.5 | 0.68 | ||||||||||||
| Processed meat and meat products and plant-based meat alternatives 1 | 5.0 | 0.45 | 6.0 | 0.60 | 8.0 | 0.68 | 10.0 | 1.30 | |||||||||||||
| Fresh, frozen, or processed seafood | 6.0 | 0.30 | 6.5 | 0.43 | 7.0 | 0.68 | 7.5 | 1.10 | |||||||||||||
| Insects | 3.2 | 0.20 | 3.2 | 0.20 | |||||||||||||||||
| Dairy and alternatives | Milk (products) and plant-based milk alternatives 1 | 1.4 | 6.0 | 1.7 | 8.0 | 2.7 | 10.0 | 6.0 | 14.0 | ||||||||||||
| Cheese (products) and plant-based cheese alternatives | 7.5 | 0.40 | 8.5 | 0.50 | 10.0 | 0.60 | 19.0 | 1.20 | 6.0 | ||||||||||||
| Oils, fats, spreads | Oils, fats, spreads | 16.0 | 0.10 | 30.0 | 0.35 | 36.0 | 0.52 | 55.0 | 0.75 | ||||||||||||
| Meals | Main meals | 2.0 | 0.24 | 5.0 | 2.4 | 190 and 600 2 | 3.0 | 0.34 | 7.0 | 1.4 | 200 and 600 2 | 4.0 | 0.40 | 10.0 | 1.0 | 225 | 5.0 | 0.53 | 11.0 | 0.8 | 275 |
| Sandwiches and rolls | 2.0 | 0.45 | 5.0 | 2.4 | 190 and 350 2 | 3.0 | 0.57 | 7.0 | 1.4 | 215 and 350 2 | 4.0 | 0.62 | 10.0 | 1.0 | 225 | 5.0 | 0.80 | 11.0 | 0.8 | 275 | |
| Soups | 1.1 | 0.25 | 4.0 | 2.0 | 0.29 | 5.0 | 3.5 | 0.35 | 9.0 | 4.0 | 0.39 | 10.0 | |||||||||
| Discretionary (or non-basic) food groups | |||||||||||||||||||||
| Sauces | Meal sauces | 1.1 | 0.40 | 6 | 1.3 | 0.70 | 8 | 2.5 | 2.20 | 16 | 6.0 | 4.50 | 26 | ||||||||
| Emulsified sauces | 3 | 0.70 | 10 | 350 | 4.5 | 1.00 | 12 | 380 | 6 | 1.20 | 17 | 550 | 8 | 1.80 | 21 | 650 | |||||
| Dark sauces | 3.00 | 16 | 5.50 | 20 | 6.50 | 25.5 | 7.75 | 35 | |||||||||||||
| Other sauces (water-based) | 0.75 | 16.0 | 100 | 0.80 | 25.0 | 130 | 0.90 | 31.0 | 150 | 1.08 | 39.0 | 190 | |||||||||
| Snacks | Savory snacks | 4.0 | 0.40 | 4.0 | 500 | 7.0 | 0.79 | 6.5 | 535 | 9.0 | 0.88 | 9.0 | 540 | 13.0 | 1.00 | 16.0 | 570 | ||||
| Sweet snacks | 6.0 | 0.20 | 20.0 | 220 | 12.0 | 0.22 | 45.0 | 475 | 16.5 | 0.31 | 55.0 | 510 | 20.0 | 0.41 | 62.0 | 550 | |||||
| Liquids | Fruit and vegetable juices | 5.0 | 8.0 | 10.0 | 11.0 | ||||||||||||||||
| Beverages | 2.5 | 5.5 | 8.0 | 11.5 | |||||||||||||||||
| Other | All other products | 1.1 or 10 3 | 0.10 | 2.5 or 10 3 | 1.1 or 10 3 | 0.10 | 2.5 or 10 3 | ||||||||||||||
| Equivalence criteria for plant-based alternatives 4 | |||||||||||||||||||||
| Protein | Ca | Fe | Zn | B2 | B12 | ||||||||||||||||
| g | mg | mg | mg | mg | µg | ||||||||||||||||
| Plant-based milk alternatives | 2 | 100 | 0.1 | 0.3 | |||||||||||||||||
| Plant-based meat alternatives | 19 | 1.5 | 2.6 | 0.1 | 1.3 | ||||||||||||||||
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Smorenburg, H.; Kissock, K.R.; Beck, E.J.; Mathur, P.; Hamaker, B.; Lissner, L.; Marostica, M.R., Jr.; Nnam, N.; Takimoto, H.; Roodenburg, A.J.C. Revision of the Choices Nutrient Profiling System. Nutrients 2026, 18, 258. https://doi.org/10.3390/nu18020258
Smorenburg H, Kissock KR, Beck EJ, Mathur P, Hamaker B, Lissner L, Marostica MR Jr., Nnam N, Takimoto H, Roodenburg AJC. Revision of the Choices Nutrient Profiling System. Nutrients. 2026; 18(2):258. https://doi.org/10.3390/nu18020258
Chicago/Turabian StyleSmorenburg, Herbert, Katrina R. Kissock, Eleanor J. Beck, Pulkit Mathur, Bruce Hamaker, Lauren Lissner, Mario R. Marostica, Jr., Ngozi Nnam, Hidemi Takimoto, and Annet J. C. Roodenburg. 2026. "Revision of the Choices Nutrient Profiling System" Nutrients 18, no. 2: 258. https://doi.org/10.3390/nu18020258
APA StyleSmorenburg, H., Kissock, K. R., Beck, E. J., Mathur, P., Hamaker, B., Lissner, L., Marostica, M. R., Jr., Nnam, N., Takimoto, H., & Roodenburg, A. J. C. (2026). Revision of the Choices Nutrient Profiling System. Nutrients, 18(2), 258. https://doi.org/10.3390/nu18020258

