The DOI matches its Crossref record.
Prevalence of obesity in Great Britain
Abstract
Summary: Since 1980 the prevalence of obesity in Great Britain in adults has almost trebled. Latest figures show that 23% of men and 25% of women were obese in 2002. In children, obesity prevalence is lower but the increase in the prevalence of overweight is similar to the rise in obesity in adults. Data from national surveys also show that there are marked differences in the prevalence of obesity that underpin health inequalities. Obesity is higher in low social classes, some ethnic minority groups particularly from South Asia and in Scotland and Wales relative to England.
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
Cited by
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952
Prevalence of Overweight and Obesity in the United States, 1999-2004
Ogden, C. L., Carroll, M. D., Curtin, L. R., McDowell, M. A., Tabak, C. J., & Flegal, K. M. (2006) · JAMA · doi:10.1001/jama.295.13.1549 · Cited by 8,720
Finucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., Singh, G. M., Gutierrez, H. R., Lu, Y., Bahalim, A. N., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62037-5 · Cited by 4,050
Ogden, C. L., Yanovski, S. Z., Carroll, M. D., & Flegal, K. M. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.03.052 · Cited by 1,561
Validation of the GENEA Accelerometer
ESLIGER, D. W., ROWLANDS, A. V., HURST, T. L., CATT, M., MURRAY, P., & ESTON, R. G. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31820513be · Cited by 625
Metadata
- Authors
- Rennie, K. L., & Jebb, S. A.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2005-01-10
- Volume
- 6
- Issue
- 1
- Pages
- 11-12
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2118290441
- Cited by
- 395
- References
- 0
- FWCI
- 32.35
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prevalence of obesity in Great Britain. https://app.cochat.ai/papers/10.1111/j.1467-789x.2005.00164.x
- The paper
- Rennie, K. L., & Jebb, S. A. (2005). Prevalence of obesity in Great Britain. Obesity Reviews. https://doi.org/10.1111/j.1467-789x.2005.00164.x
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.
