The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference
Open accessAbstract
The global epidemic of obesity in children will see a rise in the number of cases of metabolic syndrome, which is a clustering of CVD risk factors, including atherogenic levels of blood lipids, hyperinsulinaemia and raised blood pressure. Rather than excess general fatness (assessed by BMI), more specifically it is excess abdominal fatness, quantified by waist circumference measurement, which is a better measure of risk for these metabolic abnormalities in children of all ages. Insulin resistance, a consequence of excess visceral fat, is understood to be the driving force underpinning the metabolic syndrome. Consequently, assessment of abdominal fatness in children is proving to be more clinically useful. Waist circumference centile charts have now been developed for the UK and other paediatric populations to assist in this process. Furthermore, studies in the UK and elsewhere have shown that abdominal fatness has increased in infants, children and adolescents to a greater extent than overall fatness over the past 10-20 years, suggesting that obesity prevalence may be underestimated when based entirely on BMI. Additionally, ethnic differences in fat distribution have been demonstrated in children, with those from south Asian backgrounds having a greater abdominal distribution compared with Caucasian children and consequently having a much greater risk for type 2 diabetes. The information that can be provided by waist circumference measurement in children, as in adults, together with the recent changes in body fat distribution should provide the impetus for its measurement to be standardised and routinely taken in clinical and epidemiological settings.
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
Obesity in children and young people: a crisis in public health
Lobstein, T., Baur, L., & Uauy, R. (2004) · Obesity Reviews · doi:10.1111/j.1467-789x.2004.00133.x · Cited by 3,801
Waist circumference as a measure for indicating need for weight management
Lean, M. E. J., Han, T. S., & Morrison, C. E. (1995) · BMJ · doi:10.1136/bmj.311.6998.158 · Cited by 1,869
McCarthy, H. D., & Ashwell, M. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803226 · Cited by 628
Self-citationComparisons of waist circumferences measured at 4 sites
Wang, J., Thornton, J. C., Bari, S., Williamson, B., Gallagher, D., Heymsfield, S. B., Horlick, M., Kotler, D., Laferrère, B., Mayer, L., et al. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/77.2.379 · Cited by 567
Goodman, E., Dolan, L. M., Morrison, J. A., & Daniels, S. R. (2005) · Circulation · doi:10.1161/01.cir.0000161957.34198.2b · Cited by 213
Cited by
Harris, K. C., Kuramoto, L. K., Schulzer, M., & Retallack, J. E. (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.080966 · Cited by 497
Sacher, P. M., Kolotourou, M., Chadwick, P. M., Cole, T. J., Lawson, M. S., Lucas, A., & Singhal, A. (2010) · Obesity · doi:10.1038/oby.2009.433 · Cited by 337
Infant antibiotic exposure and the development of childhood overweight and central adiposity
Azad, M. B., Bridgman, S. L., Becker, A. B., & Kozyrskyj, A. L. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.119 · Cited by 331
Cook, S., Auinger, P., Li, C., & Ford, E. S. (2008) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2007.06.004 · Cited by 325
Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome
Wang, H. H., Lee, D. K., Liu, M., Portincasa, P., & Wang, D. Q.-H. (2020) · Pediatric Gastroenterology, Hepatology & Nutrition · doi:10.5223/pghn.2020.23.3.189 · Cited by 281
Metadata
- Authors
- McCarthy, H. D.
- Venue
- Proceedings of the Nutrition Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2006-11
- Volume
- 65
- Issue
- 04
- Pages
- 385-392
- ISSN
- 0029-6651 (ISSN-L)
- 1475-2719
- OpenAlex
- W2115441347
- Cited by
- 194
- References
- 5
- FWCI
- 8.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference. https://app.cochat.ai/papers/10.1017/s0029665106005143
- The paper
- McCarthy, H. D. (2006). Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference. Proceedings of the Nutrition Society. https://doi.org/10.1017/s0029665106005143
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.