The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Extended international (IOTF) body mass index cut‐offs for thinness, overweight and obesity
Abstract
Summary: Background: The international (I nternational O besity T ask F orce; IOTF) body mass index (BMI) cut‐offs are widely used to assess the prevalence of child overweight, obesity and thinness. Based on data from six countries fitted by the LMS method, they link BMI values at 18 years (16, 17, 18.5, 25 and 30 kg m−2) to child centiles, which are averaged across the countries. Unlike other BMI references, e.g. the W orld H ealth O rganization (WHO) standard, these cut‐offs cannot be expressed as centiles (e.g. 85th). Methods: To address this, we averaged the previously unpublished L, M and S curves for the six countries, and used them to derive new cut‐offs defined in terms of the centiles at 18 years corresponding to each BMI value. These new cut‐offs were compared with the originals, and with the WHO standard and reference, by measuring their prevalence rates based on US and C hinese data. Results: The new cut‐offs were virtually identical to the originals, giving prevalence rates differing by <0.2% on average. The discrepancies were smaller for overweight and obesity than for thinness. The international and WHO prevalences were systematically different before/after age 5. Conclusions: Defining the international cut‐offs in terms of the underlying LMS curves has several benefits. New cut‐offs are easy to derive (e.g. BMI 35 for morbid obesity), and they can be expressed as BMI centiles (e.g. boys obesity = 98.9th centile), allowing them to be compared with other BMI references. For WHO, median BMI is relatively low in early life and high at older ages, probably due to its method of construction.
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 · cited 1×
“The IOTF cut-offs changed that, as was clearly illustrated by the 2004 review article that assembled prevalence studies from many countries based on the IOTF cut-offs (15).”
BackgroundSelf-citation
Research works printed but not linked: 12
- 10.3109/17477166.2011.607458 · DOI
- 10.1136/bmj.320.7244.1240 · DOI · Paper page
- 10.1136/bmj.39238.399444.55 · DOI · Paper page
- Onis M, 2006, WHO child growth standards, Acta Paediatr, 95, 3
- 10.2471/BLT.07.043497 · DOI · Paper page
- 10.1002/sim.4780111005 · DOI · Paper page
- Hamill PVV, 1977, NCHS Growth Curves for Children Birth – 18 Years
- 10.3109/17477161003615583 · DOI · Paper page
- 10.1093/ajcn/39.1.129 · DOI · Paper page
- 10.1136/bmj.308.6929.641 · DOI
- 10.1038/ijo.2010.8 · DOI
- 10.1080/03014460110085340 · DOI
Cited by
Abarca-Gómez, L., Abdeen, Z. A., Hamid, Z. A., Abu-Rmeileh, N. M., Acosta-Cazares, B., Acuin, C., Adams, R. J., Aekplakorn, W., Afsana, K., Aguilar-Salinas, C. A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32129-3 · Cited by 7,482
Obesity in children and adolescents: epidemiology, causes, assessment, and management
Jebeile, H., Kelly, A. S., O'Malley, G., & Baur, L. A. (2022) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(22)00047-x · Cited by 1,099
Lowe, W. L., Scholtens, D. M., Lowe, L. P., Kuang, A., Nodzenski, M., Talbot, O., Catalano, P. M., Linder, B., Brickman, W. J., Clayton, P., et al. (2018) · JAMA · doi:10.1001/jama.2018.11628 · Cited by 591
Lowe, W. L., Scholtens, D. M., Kuang, A., Linder, B., Lawrence, J. M., Lebenthal, Y., McCance, D., Hamilton, J., Nodzenski, M., Talbot, O., et al. (2019) · Diabetes Care · doi:10.2337/dc18-1646 · Cited by 574
Obesity and the food system transformation in Latin America
Popkin, B. M., & Reardon, T. (2018) · Obesity Reviews · doi:10.1111/obr.12694 · Cited by 629
Metadata
- Authors
- Cole, T. J., & Lobstein, T.
- Venue
- Pediatric Obesity
- Publisher
- Wiley
- Published
- 2012-06-19
- Volume
- 7
- Issue
- 4
- Pages
- 284-294
- ISSN
- 2047-6302 (ISSN-L)
- 2047-6310
- OpenAlex
- W1792110071
- Cited by
- 3,117
- References
- 1
- FWCI
- 74.95
- 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
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.