Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 330

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Ethnic comparisons of the cross‐sectional relationships between measures of body size with diabetes and hypertension

Open access
Huxley, R., James, W. P. T., Barzi, F., Patel, J. V., Lear, S. A., Suriyawongpaisal, P., Janus, E., Caterson, I., Zimmet, P., Prabhakaran, D., Reddy, S., Woodward, M., the Obesity in Asia Collaboration·2008·Obesity Reviews

Abstract

Summary: Recent estimates indicate that two billion people are overweight or obese and hence are at increased risk of cardiovascular disease and its comorbidities. However, this may be an underestimate of the true extent of the problem, as the current method used to define overweight may lack sensitivity, particularly in some ethnic groups where there may be an underestimate of risk. Measures of central obesity may be more strongly associated with cardiovascular risk, but there has been no systematic attempt to compare the strength and nature of the associations between different measures of overweight with cardiovascular risk across ethnic groups. Data from the Obesity in Asia Collaboration, comprising 21 cross‐sectional studies in the Asia‐Pacific region with information on more than 263 000 individuals, indicate that measures of central obesity, in particular, waist circumference (WC), are better discriminators of prevalent diabetes and hypertension in Asians and Caucasians, and are more strongly associated with prevalent diabetes (but not hypertension), compared with body mass index (BMI). For any given level of BMI, WC or waist : hip ratio, the absolute risk of diabetes or hypertension tended to be higher among Asians compared with Caucasians, supporting the use of lower anthropometric cut‐points to indicate overweight among Asians.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1467-789x.2007.00439.x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Research works printed but not linked: 21

  1. 10.1046/j.1467-789X.2002.00067.x · DOI
  2. World Health Organization., 1997, Obesity: Preventing and Managing the Global Epidemic
  3. 10.1016/0140-6736(91)91164-P · DOI · Paper page
  4. JamesWPT Jackson‐LeachR Ni MhurchuC KalmaraE ShayeghiM RigbyNJ NishidaC RodgersA.Overweight and obesity (high body mass index). In:Ezzati M Lopez AD Rodgers A Murray CJL(eds).Comparative Quantification of Health Risks. Global and Regional Burden of Disease Attributable to Selected Major Risk Factors Chapter 8 Vol. 1.World Health Organization: Geneva 2004 pp.497–596.
  5. 10.1093/aje/155.4.346 · DOI
  6. World Health Organization., 2000, Obesity: Preventing and Managing the Global Epidemic
  7. 10.1016/S0140-6736(03)15268-3 · DOI · Paper page
  8. Lee CM, 2007, Asia Pacific Cohort Studies Collaboration. Prevalence of diabetes mellitus and population attributable fractions for coronary heart disease and stroke mortality in the WHO South‐East Asia and Western Pacific regions, Asia Pac J Clin Nutr, 16, 187
  9. 10.1093/ajcn/79.3.379 · DOI · Paper page
  10. 10.1093/ajcn/76.4.743 · DOI · Paper page
  11. 10.1111/j.1467-789X.2005.00189.x · DOI
  12. 10.2337/dc07-1455 · DOI
  13. The Obesity in Asia Collaboration., Is central obesity a better discriminator of the risk of hypertension than body mass index in ethnically diverse populations?, J Hypertens
  14. 10.1038/sj.ejcn.1600637 · DOI
  15. 10.1038/sj.ijo.0800741 · DOI · Paper page
  16. 10.1093/ajcn/86.2.353 · DOI · Paper page
  17. 10.2183/pjab.81.471 · DOI
  18. 10.1079/PNS2004365 · DOI
  19. 10.1093/jn/134.1.205 · DOI · Paper page
  20. 10.1093/ajcn/73.1.123 · DOI
  21. 10.2337/dc05-2540 · DOI

Cited by

Metadata

Authors
Huxley, R., James, W. P. T., Barzi, F., Patel, J. V., Lear, S. A., Suriyawongpaisal, P., Janus, E., Caterson, I., Zimmet, P., Prabhakaran, D., Reddy, S., Woodward, M., & the Obesity in Asia Collaboration
Venue
Obesity Reviews
Publisher
Wiley
Published
2008-02-28
Volume
9
Issue
s1
Pages
53-61
ISSN
  • 1467-7881 (ISSN-L)
  • 1467-789X
OpenAlex
W2058606479
Cited by
330
References
2
FWCI
16.56
Type
journal article
Language
en
Open access
green

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.