The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Demographic variation in nutrition knowledge in England
Open accessAbstract
This paper describes a nutrition knowledge survey carried out on a cross-section of the adult population of England (n = 1040), looking at knowledge relating to current dietary recommendations, sources of nutrients, healthy food choices and diet-disease links. Serious gaps in knowledge about even the basic recommendations were discovered, and there was much confusion over the relationship between diet and disease. Significant differences in knowledge between socio-demographic groups were found, with men having poorer knowledge than women, and knowledge declining with lower educational level and socio-economic status. Possible reasons for these differences and implications for public education campaigns and socio-economic inequalities in health are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Socioeconomic status and health: The challenge of the gradient
Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L. (1994) · American Psychologist · doi:10.1037/0003-066x.49.1.15 · Cited by 2,383
Development of a general nutrition knowledge Questionnaire for adults
Parmenter, K., & Wardle, J. (1999) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600726 · Cited by 633
Self-citationUnderstanding sociodemographic differences in health--the role of fundamental social causes.
Link, B. G., & Phelan, J. C. (1996) · American Journal of Public Health · doi:10.2105/ajph.86.4.471 · Cited by 483
Cited by
McGill, R., Anwar, E., Orton, L., Bromley, H., Lloyd-Williams, F., O’Flaherty, M., Taylor-Robinson, D., Guzman-Castillo, M., Gillespie, D., Moreira, P., et al. (2015) · BMC Public Health · doi:10.1186/s12889-015-1781-7 · Cited by 407
“Significant differences in nutritional knowledge have been shown between differing socioeconomic groups, with knowledge declining with lower socioeconomic status [10].”
Jeruszka-Bielak, M., Kollajtis-Dolowy, A., Santoro, A., Ostan, R., Berendsen, A. A. M., Jennings, A., Meunier, N., Marseglia, A., Caumon, E., Gillings, R., et al. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00994 · Cited by 110
Education Attenuates the Association between Dietary Patterns and Cognition
Akbaraly, T. N., Singh-Manoux, A., Marmot, M. G., & Brunner, E. J. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000199235 · Cited by 90
Sex differences in the composition of weight gain and loss in overweight and obese adults
Millward, D. J., Truby, H., Fox, K. R., Livingstone, M. B. E., Macdonald, I. A., & Tothill, P. (2014) · British Journal of Nutrition · doi:10.1017/s0007114513003103 · Cited by 45
Appleton, K. M., Krumplevska, K., Smith, E., Rooney, C., McKinley, M. C., & Woodside, J. V. (2018) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12487 · Cited by 37
Metadata
- Authors
- Parmenter, K., Waller, J., & Wardle, J.
- Venue
- Health Education Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-04-01
- Volume
- 15
- Issue
- 2
- Pages
- 163-174
- ISSN
- 0268-1153 (ISSN-L)
- 1465-3648
- OpenAlex
- W2097611574
- Cited by
- 434
- References
- 3
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
