Trust the numbers? What McCance & Widdowson tell us about nutrition labelling
In the UK, the assimilated food information regulation (EU 1169/2011) requires mandatory ‘back of pack’ nutrition labelling for the majority of pre-packed foods. The values declared should be the average values derived using one or more of the following methods:
• Manufacturer’s analysis of the food
• A calculation from the known or actual average values of the ingredients used in the preparation of the food, or
• A calculation from generally established and accepted data.
So let’s talk about ‘generally established and accepted data’
In the UK the Composition of foods integrated dataset (CoFID) is the official UK national food composition database and is available as a single electronic file, most recently updated in 2021. The McCance and Widdowson 7th Edition book, last published in 2015, contains a subset of data from the CoFID 2015 version.
The dataset provides macronutrient and micronutrient profiles of commonly consumed food and recipes including cereals and cereal products, milk and milk products, eggs and egg dishes, fats and oils, meat and meat products, fish and fish products, vegetables, herbs and spices, fruit, nuts and seeds, sugars, preserves and snacks, beverages, alcoholic beverages and soups, sauces and miscellaneous foods. All foods are expressed per 100g edible portion, unless otherwise stated, and alcoholic beverages are expressed per 100ml.
CoFID as we know it today began in the 1930s with the vision of Dr Robert McCance and Dr Elsie Widdowson.
“A knowledge of the chemical composition of foods is the first essential in the dietary treatment of disease or in any quantitative study of human nutrition’” – (McCance & Widdowson, 1940)
Public Health England are now responsible for maintaining data on the nutrient content of the UK food supply to support the National Diet and Nutrition Survey, and it is data from this work that is used to update CoFID. Food composition data is updated for many reasons including new foods being introduced, existing foods being reformulated as well as new farming and manufacturing processes.
Using CoFID values on food labels
If you have ever used CoFID or 7th edition of McCance & Widdowson, you will no doubt be aware of the guidance notes on pages 15-17 (or pages 21-24 if you have the book). If not, then it is really important you read that section so that you are aware of the differences between some values listed in the dataset compared to the requirements of the current food labelling regulations. In summary:
Protein – means the protein content calculated using the nitrogen content x 6.25, whereas more specific factors have been used in the CoFID dataset.
Carbohydrate – is provided in the dataset as its monosaccharide equivalents (mse), whereas for labelling it should be the weight of the carbohydrates themselves. The following factors should be used to convert mse to actual weights:

Energy values – are to be calculated for food labels using the conversion factors provided in annex XIV of EU 1169/2011:

Alternative datasets
On occasions it is necessary to use nutrition values from a different food composition database, a common one is the U.S. Department of Agriculture’s USDA National Nutrient Database for Standard Reference. It is just as important to make sure you understand the differences in the dataset compared to UK labelling requirements, for example total carbohydrate by difference includes the fibre content and so this requires adjustment before using.
With more than 25 years’ experience in food and nutrition labelling, AB Food Nutrition helps you produce compliant nutrition declarations for menus and product labels, whether you’re selling in the UK/EU, US, Canada or Australia. Our service is straightforward and cost-effective. We calculate the nutrient profile of your recipes from the ingredients, quantities and cooking methods you use, and we can recommend ways to improve their nutritional profile so you can offer customers healthier choices. For more information, please contact Anne.


















