Data Resource Profile: United Kingdom National Diet and Nutrition Survey Rolling Programme (2008–19)

Autor: Venables, Michelle C, Roberts, Caireen, Nicholson, Sonja, Bates, Beverley, Jones, Kerry S, Ashford, Robert, Hill, Suzanne, Farooq, Anila, Koulman, Albert, Wareham, Nicholas J, Page, Polly
Přispěvatelé: Venables, Michelle C [0000-0002-9380-0060], Koulman, Albert [0000-0001-9998-051X], Page, Polly [0000-0003-1993-1609], Apollo - University of Cambridge Repository
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Epidemiology. 51:e143-e155
ISSN: 1464-3685
0300-5771
Popis: Key Features: • The National Diet and Nutrition Survey Rolling Programme (NDNS RP) is a cross-sectional, annual survey designed to collect detailed, quantitative information on food consumption, nutrient intake and nutritional status of the general United Kingdom (UK) population aged ≥ 1.5 years. • NDNS RP uses a stratified sampling design to generate a random sample of private UK households each year and nationally representative core sample of around 1000 participants (500 adults, 500 children) each year. Design provides for additional recruitment at country level. • Data/samples include: socio-demographic; dietary assessment; anthropometry; physical activity; energy expenditure; blood and urine samples for nutritional biomarker analysis; National Health Service (NHS) Central Registry and Cancer Registry linkage, contact for further research. • NDNS RP dataset (2008-2019) comprises: dietary data (7999 adults and 7656 children); blood biomarkers (4181 adults and 2014 children); spot urine (3246 adults and 2318 children); total energy expenditure (using doubly labelled water) (419 adults and 352 children). Results published and disseminated via UK Government; survey data accessible via UK Data Service. • Stored biological samples are accessible for further health related research in the public interest through the NDNS Bioresource. • NDNS RP data underpin monitoring and development of nutrition policy. Data are used for chemical exposure risk assessment and modelling for consumer safety.
Databáze: OpenAIRE
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