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Nutrient profiling for front-of-pack labelling
Mike Rayner
Director, BHF HPRG
British Heart Foundation
Health Promotion Research Group
FAO/WHO Information Meeting on Front-of-
Pack Nutrition Labelling, Charlottetown,
Prince Edward Island, 16th May 2013
Summary
• Definitions and principles of nutrient profiling
• Purposes of nutrient profiling
– General purposes
– Specific applications
• Development of np models
• Validation of np models
• Nutrient profiling for front-of-pack nutrition
labelling
• Some conclusions
A definition
Nutrient profiling is:
’The science of classifying or ranking foods
according to their nutritional composition for
reasons related to preventing disease and
promoting health’
Source: WHO, Guiding Principles and
Framework Manual for the development or
adaptation of nutrient profile models. in press.
WHO Manual
Contents
• Definition and guiding
principles
• Module 1: Planning
• Module 2: Development
and adaptation
• Module 3: Validation
• Module 4: Implementation,
monitoring and evaluation
Healthiness
of foods
Healthiness
of a diet
Health
A conceptual model for the relationship between
nutrient profiling and health
Amount and
frequency of
consumption
The combination
of foods
Amount and
frequency of
physical activity
Healthiness
of foods
Healthiness
of a diet
Health
frequency of
consumption
Amount of
consumption Amount and
frequency of
physical activity
The combination
of foods
A conceptual model for the relationship between
nutrient profiling and health
• Descriptions that relate to the nutrient levels
in foods
– Reduced fat, increased fibre
– High fat, low fibre
– Red for fat, green for fibre
– ‘Energy dense, nutrient poor’
• Descriptions that refer directly to the effects
of consuming the food on a persons health
– Healthier, less healthier
– Healthy, unhealthy
General purposes of nutrient profiling
Voluntary public
health interventions
Public health
regulation
1. Product Product reformulation Compositional
standards
2. Promotion
(advertising)
Front-of-pack labelling
Advertising regulation
Health and nutrition
claims legislation
Advertising regulation
3. Place
(availability)
Place-based
promotions
Standards for public
provision (schools,
hospitals)
4. Price Price-based based
promotions
Agricultural subsidies
Health-related taxes
Specific applications of nutrient profiling
Front-of-pack nutrition labelling:
different formats
Nutrients combinedNutrients one-by-one
2 3
4 1003
100
Differences between the aims of nutrient
profile models
1. To give a single classification or score v
keeping the nutrients separate
2. To identify healthy foods v unhealthy foods
3. To help consumers choose between foods
within categories v across all foods
Points  0 1 2 … 10
Energy (kJ) ≤335 >335 >670 … >3350
Sat fat (g) ≤1.0 >1.0 >2.0 … >10.0
Total sugar (g) ≤4.5 >4.5 >9 … >45.0
Sodium (mg) ≤90 >90 >180 … >900
5
Protein (g)* ≤1.6 >1.6 >3.2 … >8.0
Fibre (NSP) (g) ≤0.7 >0.7 >1.4 … >3.5
Fruit, Veg & Nuts
(g)
≤40 >40 >60 … >80
Healthy/Intermediate food = 3 or less
Healthy/Intermediate drink = 0 or less
Less healthy food = 4 or more
Less healthy drink = 1 or more
For both food and
drinks: scores are
based on the
content of nutrient in
100g.
*If food scores 11
for protein, fibre and
F&V then scores 0
for protein except if
scores 5 for FV&N
1. Do want nutrients to be combined to give a single
classification or score or do you want to keep them separate?
FSA/Traffic light labelling model
FSA/Ofcom model
2. Do you want to identify healthy foods or unhealthy
foods (or both?)
Healthy Unhealthy
FSA/Ofcom model for
marketing resrictions
Nordic keyhole
Healthier Less healthy
3. Do you want to help consumers choose between foods
within categories or across all foods?
Healthier Less healthy
3. Do you want to help consumers choose between foods
within categories or across all foods?
Healthier Less healthy
3. Do you want to help consumers choose between foods
within categories or across all foods?
Developing a new model
1. Decide upon scope of and exemptions to the
model
2. Decide on the food categories for the model
3. Decide which nutrients and other food
components should be involved
4. Decide on the reference amount for the
model (per 100g, per 100kJ or per serving)
5. Decide whether to use thresholds, scoring or
both
6. Decide which numbers to use
2. Different models have different numbers
of categories
• Australian Tick programme (71)
• Swedish keyhole (26)
• Choices International logo (23)
• Sainsbury’s traffic light scheme (6)
• FSA traffic light scheme (2)
3. Different models involve different
nutrients and other food components
• Energy
• Total fat
• Saturated fat
• Trans-fatty acids
• Total carbohydrate
• Total sugar
• NME sugar
• Added sugar
• Sodium
• Vitamins:
– A
– C
– E
• Minerals:
– Iron
– Calcium
– Magnesium
– Potassium
• Protein
• Fibre
• n-3 polyunsaturated fatty acids
• Fruit, vegetables and nuts
• Whole grain
• Fish
Nutrients and other food components
for Nordic Keyhole
• Energy
• Total fat
• Saturated fat
• Trans-fatty acids
• Total carbohydrate
• Total sugar
• Free sugar
• Added sugar
• Sodium
• Vitamins:
– A
– C
– E
• Minerals:
– Iron
– Calcium
– Magnesium
– Potassium
• Protein
• Fibre
• n-3 polyunsaturated fatty acids
• Fruit, vegetables and nuts
• Whole grain
• Fish
13
Nutrients for the FSA traffic light
scheme
• Energy
• Total fat
• Saturated fat
• Trans-fatty acids
• Total carbohydrate
• Total sugar
• Free sugar
• Added sugar
• Sodium
• Vitamins:
– A
– C
– E
• Minerals:
– Iron
– Calcium
– Magnesium
– Potassium
• Protein
• Fibre
• n-3 polyunsaturated fatty acids
• Fruit, vegetables and nuts
• Whole grain
• Fish
4
Healthiness
of foods
Healthiness
of a diet
Health
4. Different models have different reference amounts
Amount and
frequency of
consumption
Combination of
foods
Amount and
frequency of
physical activity
Healthiness
of foods
Healthiness
of a diet
Health
4. Different models have different reference amounts
frequency of
consumption
Combination of
foods
Amount and
frequency of
physical activity
Amount of
consumption
Different ways of validating np
models
• Use of indicator foods
• Comparison with views of expert nutritionists
• Comparison with currently achieved diets
• Comparison with theoretically healthy diets
• Prediction of health outcomes
Healthiness
of foods
Healthiness
of a diet
Health
Validation of nutrient profiling
Healthiness
of foods
Healthiness
of a diet
Health
Validation of nutrient profiling
Construct validity testing
Example: Comparison of the way the FSA/Ofcom model
classifies foods with a DQI
0
500
1000
1500
2000
2500
Most
healthy
Healthy Less
healthy
Least
healthy
Goups by healthiness of the diet
Averagedailyenergyintake(kcal/day)
Healthier
Less healthy
Overall
Source: Arambepola C,
Scarborough P, Rayner M.
Validating a nutrient profile model.
Public Health Nutrition, 2008; 11(4):
371-8.
Healthiness
of foods
Healthiness
of a diet
Health
Validation of nutrient profiling
Construct (predictive) validity testing
Source: Chiuve SE, Sampson L, Willett WC. The association between a
nutritional quality index and risk of chronic disease. Am J Prev Med. 2011
May;40(5):505-13.
*
Example: Analysis of the way the ONQI model predicts
health outcomes in the Nurses Health Study
Nutrient profiling for front-of-pack
labelling
• What is the best model?
• Can we say what it is in the absence of a gold
standard?
• Draft of 4th March 2013
• 119 models indentified,
54 met the inclusion
criteria
• 14: food labelling;
11: school food provision;
9: marketing restrictions
• Only 19 of the included
models have been
validated in any way
WHO Catalogue of Nutrient Profile Models
Possible models for front-of-pack labelling
Scheme Responsible agency Country
Keyhole Swedish National Food Administration,
Norwegian Directorate of Health and the
Norwegian Food Safety Authority, Danish
Veterinary and Food Administration
Sweden,
Norway,
Denmark
Fruits & Veggies—More Matters National Cancer Institute, Centers for
Disease Control
US
Healthier Choice Symbol and
Healthier Snack Symbol
Health Promotion Board Singapore
Traffic Light Labelling Food Standards Agency, Department of
Health
UK
Heart Check American Heart Association US
Health Check Canadian Heart and Stroke Foundation Canada
Protects Health Scheme Slovenian Heart Foundation Slovenia
Tick programme Australian Heart Foundation Australia
Heart Symbol Finnish Heart Association and Finnish
Diabetes Association
Finland
Choices International Choice International Foundation International
GI Symbol Glycemic Index Limited Australia and
New Zealand
The Sensible Solution Kraft International International
Giant Food Healthy Ideas Giant Food US
Smart Spot PepsiCo International
+ EUFIC: Global Update on Nutrition Labelling (February 2013)
Nutrients, categories and reference amounts used by five
European np models for front-of-pack labelling
Model
Kcal/kJ
AddedSugar
TotalSugar
Fat
SaturatedFat
Transfat
Cholesterol
Sodium/Salt
Protein
Fibre
Vitamins/Mine
rals
TotalNutrients
Categories
Base
Keyhole y y y y y y y y 8 26 Per serving
Choices
International
y y y y y y 6 23 Combination
Finnish Heart
Symbol
y y y y y y 6 42 Per 100g
UK FSA Traffic
Light Labelling
y y y y 4 2 Combination
Sainsbury Traffic
Light Labelling
y y y y y 5 6 Combination
Totals 3 2 4 4 5 2 1 5 0 3 0
Comparing nutrient profile models:
possibilities
• Strictness
– The percentage of foods classified as e.g.
‘healthier’ by a model
• Overall
• Within categories
• Agreement
– The extent to which two models classify the same
foods as e.g. ‘healthier’
• Overall
• Within categories
Comparing the Keyhole, Choices International
and Finnish Heart Symbol: methods
• The home-shopping website of the major retailer in
the UK – Tesco - was used as the sampling frame
• All of the pre-packaged foods sold through that
website were sampled randomly in November 2011
• 400 foods was selected; 382 products were
purchased
• Compositional data were supplemented with data
from food composition tables
Comparing the Keyhole, Choices International
and Finnish Heart Symbol: preliminary and
unpublished results
Strictness
Health logo model
%
permitted
Keyhole 13%
Finnish Heart Symbol 17%
Choices International 21%
Comparing the Keyhole, Choices International
and Finnish Heart Symbol: preliminary and
unpublished results
Agreement
Health logo
model
Choices
International
Finnish Heart
Symbol
Keyhole
Choices
International
1
Finnish Heart
Symbol
0.41 1
Keyhole 0.24 0.27 1
Kappa interpretation: <0.20 Poor, 0.21-0.40 Fair, 0.41-0.60
Moderate, 0.61-0.80 Good, 0.81 – 1.00 Very good
Comparing the Keyhole, Choices International
and Finnish Heart Symbol: preliminary and
unpublished results
0%
10%
20%
30%
40%
50%
60%
70%
80%
Choices International
Finnish Heart Symbol
Keyhole
Strictness within
categories
Conclusions
• There is a growing consensus that the same
basic model can be used for different
applications in different countries?
• Models where the algorithms look very
different end up classifying foods in the same
way
• Differences between models: are they really
important?
• There is a need for further work on the
validation of models to create a gold standard(s)

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Nutrient Profiling for FOP Labelling_2013

  • 1. Nutrient profiling for front-of-pack labelling Mike Rayner Director, BHF HPRG British Heart Foundation Health Promotion Research Group FAO/WHO Information Meeting on Front-of- Pack Nutrition Labelling, Charlottetown, Prince Edward Island, 16th May 2013
  • 2. Summary • Definitions and principles of nutrient profiling • Purposes of nutrient profiling – General purposes – Specific applications • Development of np models • Validation of np models • Nutrient profiling for front-of-pack nutrition labelling • Some conclusions
  • 3. A definition Nutrient profiling is: ’The science of classifying or ranking foods according to their nutritional composition for reasons related to preventing disease and promoting health’ Source: WHO, Guiding Principles and Framework Manual for the development or adaptation of nutrient profile models. in press.
  • 4. WHO Manual Contents • Definition and guiding principles • Module 1: Planning • Module 2: Development and adaptation • Module 3: Validation • Module 4: Implementation, monitoring and evaluation
  • 5. Healthiness of foods Healthiness of a diet Health A conceptual model for the relationship between nutrient profiling and health Amount and frequency of consumption The combination of foods Amount and frequency of physical activity
  • 6. Healthiness of foods Healthiness of a diet Health frequency of consumption Amount of consumption Amount and frequency of physical activity The combination of foods A conceptual model for the relationship between nutrient profiling and health
  • 7. • Descriptions that relate to the nutrient levels in foods – Reduced fat, increased fibre – High fat, low fibre – Red for fat, green for fibre – ‘Energy dense, nutrient poor’ • Descriptions that refer directly to the effects of consuming the food on a persons health – Healthier, less healthier – Healthy, unhealthy General purposes of nutrient profiling
  • 8. Voluntary public health interventions Public health regulation 1. Product Product reformulation Compositional standards 2. Promotion (advertising) Front-of-pack labelling Advertising regulation Health and nutrition claims legislation Advertising regulation 3. Place (availability) Place-based promotions Standards for public provision (schools, hospitals) 4. Price Price-based based promotions Agricultural subsidies Health-related taxes Specific applications of nutrient profiling
  • 9. Front-of-pack nutrition labelling: different formats Nutrients combinedNutrients one-by-one 2 3 4 1003 100
  • 10. Differences between the aims of nutrient profile models 1. To give a single classification or score v keeping the nutrients separate 2. To identify healthy foods v unhealthy foods 3. To help consumers choose between foods within categories v across all foods
  • 11. Points  0 1 2 … 10 Energy (kJ) ≤335 >335 >670 … >3350 Sat fat (g) ≤1.0 >1.0 >2.0 … >10.0 Total sugar (g) ≤4.5 >4.5 >9 … >45.0 Sodium (mg) ≤90 >90 >180 … >900 5 Protein (g)* ≤1.6 >1.6 >3.2 … >8.0 Fibre (NSP) (g) ≤0.7 >0.7 >1.4 … >3.5 Fruit, Veg & Nuts (g) ≤40 >40 >60 … >80 Healthy/Intermediate food = 3 or less Healthy/Intermediate drink = 0 or less Less healthy food = 4 or more Less healthy drink = 1 or more For both food and drinks: scores are based on the content of nutrient in 100g. *If food scores 11 for protein, fibre and F&V then scores 0 for protein except if scores 5 for FV&N 1. Do want nutrients to be combined to give a single classification or score or do you want to keep them separate? FSA/Traffic light labelling model FSA/Ofcom model
  • 12. 2. Do you want to identify healthy foods or unhealthy foods (or both?) Healthy Unhealthy FSA/Ofcom model for marketing resrictions Nordic keyhole
  • 13. Healthier Less healthy 3. Do you want to help consumers choose between foods within categories or across all foods?
  • 14. Healthier Less healthy 3. Do you want to help consumers choose between foods within categories or across all foods?
  • 15. Healthier Less healthy 3. Do you want to help consumers choose between foods within categories or across all foods?
  • 16. Developing a new model 1. Decide upon scope of and exemptions to the model 2. Decide on the food categories for the model 3. Decide which nutrients and other food components should be involved 4. Decide on the reference amount for the model (per 100g, per 100kJ or per serving) 5. Decide whether to use thresholds, scoring or both 6. Decide which numbers to use
  • 17. 2. Different models have different numbers of categories • Australian Tick programme (71) • Swedish keyhole (26) • Choices International logo (23) • Sainsbury’s traffic light scheme (6) • FSA traffic light scheme (2)
  • 18. 3. Different models involve different nutrients and other food components • Energy • Total fat • Saturated fat • Trans-fatty acids • Total carbohydrate • Total sugar • NME sugar • Added sugar • Sodium • Vitamins: – A – C – E • Minerals: – Iron – Calcium – Magnesium – Potassium • Protein • Fibre • n-3 polyunsaturated fatty acids • Fruit, vegetables and nuts • Whole grain • Fish
  • 19. Nutrients and other food components for Nordic Keyhole • Energy • Total fat • Saturated fat • Trans-fatty acids • Total carbohydrate • Total sugar • Free sugar • Added sugar • Sodium • Vitamins: – A – C – E • Minerals: – Iron – Calcium – Magnesium – Potassium • Protein • Fibre • n-3 polyunsaturated fatty acids • Fruit, vegetables and nuts • Whole grain • Fish 13
  • 20. Nutrients for the FSA traffic light scheme • Energy • Total fat • Saturated fat • Trans-fatty acids • Total carbohydrate • Total sugar • Free sugar • Added sugar • Sodium • Vitamins: – A – C – E • Minerals: – Iron – Calcium – Magnesium – Potassium • Protein • Fibre • n-3 polyunsaturated fatty acids • Fruit, vegetables and nuts • Whole grain • Fish 4
  • 21. Healthiness of foods Healthiness of a diet Health 4. Different models have different reference amounts Amount and frequency of consumption Combination of foods Amount and frequency of physical activity
  • 22. Healthiness of foods Healthiness of a diet Health 4. Different models have different reference amounts frequency of consumption Combination of foods Amount and frequency of physical activity Amount of consumption
  • 23. Different ways of validating np models • Use of indicator foods • Comparison with views of expert nutritionists • Comparison with currently achieved diets • Comparison with theoretically healthy diets • Prediction of health outcomes
  • 24. Healthiness of foods Healthiness of a diet Health Validation of nutrient profiling
  • 25. Healthiness of foods Healthiness of a diet Health Validation of nutrient profiling Construct validity testing
  • 26. Example: Comparison of the way the FSA/Ofcom model classifies foods with a DQI 0 500 1000 1500 2000 2500 Most healthy Healthy Less healthy Least healthy Goups by healthiness of the diet Averagedailyenergyintake(kcal/day) Healthier Less healthy Overall Source: Arambepola C, Scarborough P, Rayner M. Validating a nutrient profile model. Public Health Nutrition, 2008; 11(4): 371-8.
  • 27. Healthiness of foods Healthiness of a diet Health Validation of nutrient profiling Construct (predictive) validity testing
  • 28. Source: Chiuve SE, Sampson L, Willett WC. The association between a nutritional quality index and risk of chronic disease. Am J Prev Med. 2011 May;40(5):505-13. * Example: Analysis of the way the ONQI model predicts health outcomes in the Nurses Health Study
  • 29. Nutrient profiling for front-of-pack labelling • What is the best model? • Can we say what it is in the absence of a gold standard?
  • 30. • Draft of 4th March 2013 • 119 models indentified, 54 met the inclusion criteria • 14: food labelling; 11: school food provision; 9: marketing restrictions • Only 19 of the included models have been validated in any way WHO Catalogue of Nutrient Profile Models
  • 31. Possible models for front-of-pack labelling Scheme Responsible agency Country Keyhole Swedish National Food Administration, Norwegian Directorate of Health and the Norwegian Food Safety Authority, Danish Veterinary and Food Administration Sweden, Norway, Denmark Fruits & Veggies—More Matters National Cancer Institute, Centers for Disease Control US Healthier Choice Symbol and Healthier Snack Symbol Health Promotion Board Singapore Traffic Light Labelling Food Standards Agency, Department of Health UK Heart Check American Heart Association US Health Check Canadian Heart and Stroke Foundation Canada Protects Health Scheme Slovenian Heart Foundation Slovenia Tick programme Australian Heart Foundation Australia Heart Symbol Finnish Heart Association and Finnish Diabetes Association Finland Choices International Choice International Foundation International GI Symbol Glycemic Index Limited Australia and New Zealand The Sensible Solution Kraft International International Giant Food Healthy Ideas Giant Food US Smart Spot PepsiCo International + EUFIC: Global Update on Nutrition Labelling (February 2013)
  • 32. Nutrients, categories and reference amounts used by five European np models for front-of-pack labelling Model Kcal/kJ AddedSugar TotalSugar Fat SaturatedFat Transfat Cholesterol Sodium/Salt Protein Fibre Vitamins/Mine rals TotalNutrients Categories Base Keyhole y y y y y y y y 8 26 Per serving Choices International y y y y y y 6 23 Combination Finnish Heart Symbol y y y y y y 6 42 Per 100g UK FSA Traffic Light Labelling y y y y 4 2 Combination Sainsbury Traffic Light Labelling y y y y y 5 6 Combination Totals 3 2 4 4 5 2 1 5 0 3 0
  • 33. Comparing nutrient profile models: possibilities • Strictness – The percentage of foods classified as e.g. ‘healthier’ by a model • Overall • Within categories • Agreement – The extent to which two models classify the same foods as e.g. ‘healthier’ • Overall • Within categories
  • 34. Comparing the Keyhole, Choices International and Finnish Heart Symbol: methods • The home-shopping website of the major retailer in the UK – Tesco - was used as the sampling frame • All of the pre-packaged foods sold through that website were sampled randomly in November 2011 • 400 foods was selected; 382 products were purchased • Compositional data were supplemented with data from food composition tables
  • 35. Comparing the Keyhole, Choices International and Finnish Heart Symbol: preliminary and unpublished results Strictness Health logo model % permitted Keyhole 13% Finnish Heart Symbol 17% Choices International 21%
  • 36. Comparing the Keyhole, Choices International and Finnish Heart Symbol: preliminary and unpublished results Agreement Health logo model Choices International Finnish Heart Symbol Keyhole Choices International 1 Finnish Heart Symbol 0.41 1 Keyhole 0.24 0.27 1 Kappa interpretation: <0.20 Poor, 0.21-0.40 Fair, 0.41-0.60 Moderate, 0.61-0.80 Good, 0.81 – 1.00 Very good
  • 37. Comparing the Keyhole, Choices International and Finnish Heart Symbol: preliminary and unpublished results 0% 10% 20% 30% 40% 50% 60% 70% 80% Choices International Finnish Heart Symbol Keyhole Strictness within categories
  • 38. Conclusions • There is a growing consensus that the same basic model can be used for different applications in different countries? • Models where the algorithms look very different end up classifying foods in the same way • Differences between models: are they really important? • There is a need for further work on the validation of models to create a gold standard(s)