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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 5140 National Diet and Nutrition Survey : Adults Aged 19 to 64 Years, 2000-2001 514010.5255/UKDA-SN-5140-1 Food Standards Agency Office for National Statistics, Social and Vital Statistics Division <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. Food Standards AgencyDepartment of Health UK Data Service 03 May 2005 DENTAL HEALTHDIARIESDIET AND EXERCISEFOODADULTSALCOHOL USEALCOHOLIC DRINKSANTHROPOMETRIC DATACLINICAL TESTS AND MEASUREMENTSBLOODCARBOHYDRATESNUTRIENTSVITAMINSFOOD SUPPLEMENTSMINERALSEDIBLE FATSFRUITVEGETABLESPHYSICAL ACTIVITIESPROTEINSHOUSEHOLDSECONOMIC ACTIVITYGENDERAGEMARITAL STATUSHOUSING TENUREHOME OWNERSHIPCOHABITATIONHOUSEHOLD INCOMEQUALIFICATIONSSOCIAL CLASSVEGETARIANISMHEIGHT (PHYSIOLOGY)WEIGHT (PHYSIOLOGY)KITCHENSCOOKING FACILITIESROOM SHARINGMOTOR VEHICLESCOFFEE (BEVERAGE)TEASUGARARTIFICIAL SWEETENERSSPECIAL DIETSRELIGIOUS FOOD CUSTOMSSUPERVISORY STATUSSOCIAL SECURITY BENEFITSEMPLOYMENT HISTORYSELF-EMPLOYEDEMPLOYEESHOURS OF WORKSMOKINGBIRTH CONTROLPREGNANCYMENOPAUSEMILKBEVERAGESSALTALLERGIESORGANIC FOODSCONSUMPTIONPURCHASINGFARMSLIVESTOCKDEBILITATIVE ILLNESSCHRONIC ILLNESSTEETHPLACE OF BIRTHRESIDENTIAL MOBILITYSOCIO-ECONOMIC STATUSATTITUDESDENTURESORAL HEALTHDENTAL CARE General health and well-beingConsumption and consumer behaviourSocial behaviour and attitudesHealth behaviour Abstract copyright UK Data Service and data collection copyright owner.The National Diet and Nutrition Survey (NDNS) Rolling Programme (RP) began in 2008 and is designed to assess the diet, nutrient intake and nutritional status of the general population aged 1.5 years and over living in private households in the UK. (For details of the previous NDNS series, which began in 1992, see the documentation for studies 3481, 4036, 4243 and 5140.)The programme is funded by Public Health England (PHE), an executive agency of the Department of Health, and the UK Food Standards Agency (FSA).The NDNS RP is currently carried out by a consortium comprising NatCen Social Research (NatCen) (NatCen, contract lead) and the MRC Epidemiology Unit, University of Cambridge (scientific lead). The MRC Epidemiology Unit joined the consortium in November 2017. Until December 2018, the consortium included the MRC Elsie Widdowson Laboratory, Cambridge (former scientific lead). In Years 1 to 5 (2008/09 – 2012/13) the consortium also included the University College London Medical School (UCL).Survey activities at the MRC Epidemiology Unit are delivered with the support of the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (IS-BRC-1215- 20014), comprising the NIHR BRC Nutritional Biomarker Laboratory and NIHR BRC Dietary Assessment and Physical Activity Group. The NIHR Cambridge Biomedical Research Centre is a partnership between Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge, funded by the NIHR. <div>The NDNS RP provides the only source of high quality, nationally representative UK data on the types and quantities of foods consumed by individuals, from which estimates of nutrient intake for the population are derived. Results are used by Government to develop policy and monitor progress toward diet and nutrition objectives of UK Health Departments, for example work to tackle obesity and monitor progress towards a healthy, balanced diet as visually depicted in the <a title="Eatwell Guide" href="https://www.gov.uk/government/publications/the-eatwell-guide" style="background-color: rgb(255, 255, 255);">Eatwell Guide</a>. The NDNS RP provides an important source of evidence underpinning the <a title="Scientific Advisory Committee on Nutrition" href="https://www.gov.uk/government/groups/scientific-advisory-committee-on-nutrition" style="background-color: rgb(255, 255, 255);">Scientific Advisory Committee on Nutrition</a> (SACN) work relating to national nutrition policy. The food consumption data are also used by the FSA to assess exposure to chemicals in food, as part of the risk assessment and communication process in response to a food emergency or to inform negotiations on setting regulatory limits for contaminants.</div><div> </div>Further information is available from the gov.uk <a title="National Diet and Nutrition Survey" href="https://www.gov.uk/government/collections/national-diet-and-nutrition-survey">National Diet and Nutrition Survey</a> webpage. The last national survey of diet and nutrition in adults was the Dietary and Nutritional Survey of British Adults carried out in 1986/87 (held at UKDA under SN 2836). The changes in eating habits and lifestyles noted in that survey have continued throughout the intervening years. Increasing numbers of people are travelling and taking holidays abroad, and with increased multi-culturalism this has led to a greater variety of foods available. Increasing demands on people's time and longer working hours have led to greater demand and availability of pre-prepared and convenience foods. There has also been an increase in eating outside the home. There was a need, therefore, to assess the impact of such changes on diet and nutrition among adults, to update the findings of the 1986/87 Adults Survey and to complete the NDNS cycle by conducting a survey on adults aged 19 to 64 years. The survey of adults aged 19 to 64 years aimed to collect data on diet through a questionnaire and a seven-day weighed intake record for a nationally representative sample living in private households in Great Britain. The study also included a seven-day bowel movement record, a seven-day physical activity diary, anthropometric and blood pressure measurements, a 24-hour urine sample and a blood sample. The Food Standards Agency nutrient databank, which is used to convert food weights into nutrient intake, has also been deposited with this study.Main Topics: There are two groups of datasets included in the study: primary datasets containing data in the format originally collected, and derived datasets. The primary data includes dietary data from the food diary at four levels: person level, day level (seven days were collected per diary), container level (this is a group of foods consumed together at the same serving) and food item level. Also included are data from the seven-day physical activity diary for and the keyed anthropometric and blood pressure data. There is also a file of blood and urine analyte data and a copy of the Food Standards Agency nutrient database which is used to convert food weights into nutrient intake. The derived datasets provided include average nutrient intake for each person, intake of food sub-groups, nutrient intakes at the food item level and average daily intake of each of 55 nutrients from different food types. In addition, files are provided containing the key derived variables for the initial dietary interview, blood and urinary analytes, physical measurements and variables derived from the physical activity diary data. Full details of the datasets are provided in Section 3 of the User Guide. Specifications for the derived variables are given in Appendix A of the User Guide. 01 July 2000 - 30 June 200101 July 200030 June 2001 Great Britain Young peopleIndividualsNational Men and women (not pregnant or breast-feeding) aged 19 to 64 years living in private households in Great Britain during 2000-2001. TextNumeric Repeated cross-sectional study Multi-stage stratified random sample Face-to-face interviewSelf-completionClinical measurementsDiariesPhysical measurementsCAPI The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you. See <restrctn> https://www.gov.uk/government/collections/national-diet-and-nutrition-survey https://www.food.gov.uk/research/national-diet-and-nutrition-survey-ndns http://www.natcen.ac.uk/our-research/research/national-diet-and-nutrition-survey-ndns/ https://www.ukdataservice.ac.uk/bounce?type=case-study&id=10 Usher-Smith, J., Sharp, S., Luben, R. and Griffin, S. (2018) 'Development and validation of lifestyle-based models to predict incidence of the most common potentially preventable cancers', Cancer Epidemiology, Biomarkers & Prevention, pii: cebp.0400.2018 https://doi.org/10.1158/1055-9965.EPI-18-0400 Coulthard, J., Palla, L. and Pot, G. (2017) 'Breakfast consumption and nutrient intakes in 4–18-year-olds: UK National Diet and Nutrition Survey Rolling Programme (2008–2012)', British Journal of Nutrition, 118, 4, 280-290, https://doi.org/10.1017/S0007114517001714. https://doi.org/10.1017/S0007114517001714 Smith, D.M., Vogel, C., Campbell, M., Alwan, N. and Moon, G. (2021) 'Adult diet in England: Where is more support needed to achieve dietary recommendations?', PLOS ONE 16(6): e0252877. doi:10.1371/journal.pone.0252877 https://doi.org/10.1371/journal.pone.0252877 Flynn, A.N., Hall, K.D., Courville, A.B., Rogers, P.J. and Brunstrom, J.M. (2022) 'Time to revisit the passive overconsumption hypothesis? Humans show sensitivity to calories in energy-rich meals', American Jnl of Clinical Nutrition, 116(2), pp.581–588. doi:10.1093/ajcn/nqac112 https://doi.org/10.1093/ajcn/nqac112 Flynn, A.N., Rogers, P.J., Hall, K.D., Courville, A.B. and Brunstrom, J.M. (2023) 'Reply to Robinson et al.', American Jnl of Clinical Nutrition, 117(3), pp.637–638. doi:10.1016/j.ajcnut.2022.10.009 https://doi.org/10.1016/j.ajcnut.2022.10.009 Flynn, A.N., Rogers, P.J. and Brunstrom, J.M. (2022) 'Sensitivity to, and ‘overcompensation’ for, calories in higher energy-dense meals: evidence in both restrained and unrestrained eaters', Appetite, 179, 106201 Flynn, A.N., Hall, K.D., Courville, A.B., Rogers, P.J. and Brunstrom, J. (2022) 'Sensitivity to energy density in humans: meal size decreases with energy density, but more consistently in meals with high energy density', Appetite, 169, 105483, 105493. https://oai.ukdataservice.ac.uk:8443/oai/provider 5140 2024-11-28T07:25:44Z ddi:codebook:2_5