Study title
National Diet and Nutrition Survey Years 1-11, 2008-2019
Creator
Study number / PID
6533 (UKDA)
10.5255/UKDA-SN-6533-19 (DOI)
Data access
Restricted
Series
Abstract
Topics
Keywords
Methodology
Data collection period
01/02/2008 - 29/06/2019
Country
Time dimension
Analysis unit
Universe
Individuals aged 1.5 years and over living in private households in the UK.
Sampling procedure
Kind of data
Data collection mode
Access
Publisher
UK Data Service
Publication year
2010
Terms of data access
The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.
Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.
Related publications
- 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
- 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.
- 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
- 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
- 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
- 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.
- Shewry, P. et al. (2023) 'Increasing fibre in white flour and bread: implications for health and processing', Food and Nutrition Bulletin, 48, pp.587-593 doi:10.1111/nbu.12648
- 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.
- 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, https://doi.org/10.1158/1055-9965.EPI-18-0400.
- Marr, C., Breeze, P., and Caton, S. (2021) 'Examination of dietary intake of UK preschool children by varying carers: Evidence from the 2008-2016 UK National Diet and Nutrition Survey', British Journal of Nutrition, 1-35. doi:10.1017/S0007114521004712
- Chawner, L. R., Blundell-Birtill, P. and Hetherington, M. M. (2021) 'Predictors of vegetable consumption in children and adolescents: analyses of the UK National Diet and Nutrition Survey (2008–2017)', British Journal of Nutrition, 126(2), 295-306. doi:10.1017/S0007114520004109
- Owen, E. J. et al. (2021) 'Derivation and validation of a total fruit and vegetable intake prediction model to identify targets for biomarker discovery using the UK National Diet and Nutrition Survey, Journal of Nutrition. doi:10.1093/jn/nxaa406
- Kissock, K.R. et al. (2022) 'Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains', European Journal of Nutrition, 61. doi:10.1007/s00394-021-02718-6
- Perez-Cornago, A., et al (2021) 'Description of the updated nutrition calculation of the Oxford WebQ questionnaire and comparison with the previous version among 207,144 participants in UK Biobank', European Journal of Nutrition, 60(7), pp.4019-4030.
- Piernas, C. et al. (2021) 'Describing a new food group classification system for UK biobank: analysis of food groups and sources of macro-and micronutrients in 208,200 participants', European Journal of Nutrition, 60(5), pp.2879-2890.
- Dineva, M., Rayman, M.P., and Bath, S.C. (2020) 'Iodine status of consumers of milk-alternative drinks v. cows’ milk: data from the UK National Diet and Nutrition Survey', British Journal of Nutrition 126 (1), pp.28-36. doi:10.1017/S0007114520003876
- Neill, H.R. et al. (2021) ‘Vitamin D biofortification of pork may offer a food-based strategy to increase Vitamin D Intakes in the UK Population’, Frontiers in Nutrition. doi:10.3389/fnut.2021.777364.
- Weir, R.R. et al. (2020) ‘Vitamin D3 content of cows’ milk produced in Northern Ireland and its efficacy as a vehicle for vitamin D fortification: a UK model’, International Journal of Food Sciences and Nutrition. doi:10.1080/09637486.2020.1837743