Disaggregating composite food codes in the UK National Diet and Nutrition Survey food composition databank

• Published in: European journal of clinical nutrition Vol. 64; no. S3; pp. S32 - S36
• Main Authors: Fitt, E, Mak, T.N, Stephen, A.M, Prynne, C, Roberts, C, Swan, G, Farron-Wilson, M
• Format: Journal Article Conference Proceeding
• Language: English
• Published: London Nature Publishing Group UK 01-11-2010; Nature Publishing Group
• Subjects: 692/700/228; 692/700/478; accuracy; Analysis; Biological and medical sciences; Clinical Nutrition; Composition; Dairy products; data analysis; Data banks; Diet; Diet - statistics & numerical data; Diet Records; Diet Surveys; dietary surveys; Disaggregation; Energy Intake; Epidemiology; European Food Information Resource (EuroFIR); European Union; Europeans; Feeding. Feeding behavior; Food; Food composition; Food groups; Food intake; food policy; Food products; food quality; Fruit; Fruits; Fundamental and applied biological sciences. Psychology; Health surveys; Humans; Internal Medicine; Meat; Medical sciences; Medicine; Medicine & Public Health; Metabolic Diseases; National Diet and Nutrition Survey (NDNS); nutrient databanks; nutrient intake; Nutrition; Nutrition research; Nutrition surveys; Nutritional Sciences; original-article; Polls & surveys; Public Health; UK National Diet and Nutrition Survey food composition databank; United Kingdom; Vegetables; Vertebrates: anatomy and physiology, studies on body, several organs or systems; Europe; United Kingdom; United Kingdom > UK; food composition databank; disaggregation; composite dishes; National Diet and Nutrition Survey; food codes; Diet; Nutrition survey; Metabolic diseases; Feeding; Food
• ISSN: 0954-3007; 1476-5640
• DOI: 10.1038/ejcn.2010.207

Objective: To disaggregate composite food codes used in the UK National Diet and Nutrition Survey (NDNS) into their individual food components in order to provide a more complete estimate of intake at the individual food level. Methods: A total of 3216 composite food codes from the NDNS food composition databank were subject to disaggregation. The main food components used were meat, fish, fruit, vegetables and cheese, which were further divided into 26 subcategories. Results: It was shown that previous determination of meat containing composite food codes provided an overestimate of meat intake and underestimate of additional components such as fruit and vegetables. Conclusions: By incorporating disaggregated data into NDNS, variations will be seen in consumption of some main food groups, but these variations may be also attributable to trends in consumption.