The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Waist circumference, waist–hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults
Open accessAbstract
Abstract.: Objectives. To compare body mass index (BMI), waist circumference and waist–hip ratio (WHR) as indices of obesity and assess the respective associations with type 2 diabetes, hypertension and dyslipidaemia. Design and setting. A national sample of 11 247 Australians aged ≥25 years was examined in 2000 in a cross‐sectional survey. Main outcome measures. The examination included a fasting blood sample, standard 2‐h 75‐g oral glucose tolerance test, blood pressure measurements and questionnaires to assess treatment for dyslipidaemia and hypertension. BMI, waist circumference and WHR were measured to assess overweight and obesity. Results. The prevalence of obesity amongst Australian adults defined by BMI, waist circumference and WHR was 20.8, 30.5 and 15.8% respectively. The unadjusted odds ratio for the fourth vs. first quartile of each obesity measurement showed that WHR had the strongest relationship with type 2 diabetes, dyslipidaemia (women only) and hypertension. Following adjustment for age, however, there was little difference between the three measures of obesity, with the possible exceptions of hypertension in women, where BMI had a stronger association, and dyslipidaemia in women and type 2 diabetes in men, where WHR was marginally superior. Conclusions. Waist circumference, BMI and WHR identified different proportions of the population, as measured by both prevalence of obesity and cardiovascular disease (CVD) risk factors. Whilst WHR had the strongest correlations with CVD risk factors before adjustment for age, the three obesity measures performed similarly after adjustment for age. Given the difficulty of using age‐adjusted associations in the clinical setting, these results suggest that given appropriate cut‐off points, WHR is the most useful measure of obesity to use to identify individuals with CVD risk factors.
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Self-citationSex differences in the relation of visceral adipose tissue accumulation to total body fatness
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Flegal, K. M., Shepherd, J. A., Looker, A. C., Graubard, B. I., Borrud, L. G., Ogden, C. L., Harris, T. B., Everhart, J. E., & Schenker, N. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26847 · Cited by 819
Barr, E. L. M., Zimmet, P. Z., Welborn, T. A., Jolley, D., Magliano, D. J., Dunstan, D. W., Cameron, A. J., Dwyer, T., Taylor, H. R., Tonkin, A. M., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.685628 · Cited by 719
Self-citationWalking, Cycling, and Obesity Rates in Europe, North America, and Australia
Bassett, D. R., Pucher, J., Buehler, R., Thompson, D. L., & Crouter, S. E. (2008) · Journal of Physical Activity and Health · doi:10.1123/jpah.5.6.795 · Cited by 631
What aspects of body fat are particularly hazardous and how do we measure them?
Snijder, M., van Dam, R., Visser, M., & Seidell, J. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyi253 · Cited by 587
Prevalence of Overweight and Obesity among Chinese Adults: Role of Adiposity Indicators and Age
Xu, W., Zhang, H., Paillard-Borg, S., Zhu, H., Qi, X., & Rizzuto, D. (2016) · Obesity Facts · doi:10.1159/000443003 · Cited by 417
Metadata
- Authors
- Dalton, M., Cameron, A. J., Zimmet, P. Z., Shaw, J. E., Jolley, D., Dunstan, D. W., Welborn, T. A., & On behalf of the AusDiab steering committee
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2003-11-27
- Volume
- 254
- Issue
- 6
- Pages
- 555-563
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W2135965496
- Cited by
- 667
- References
- 26
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Dalton, M., Cameron, A. J., Zimmet, P. Z., Shaw, J. E., Jolley, D., Dunstan, D. W., Welborn, T. A., & On behalf of the AusDiab steering committee. (2003). Waist circumference, waist–hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. Journal of Internal Medicine. https://doi.org/10.1111/j.1365-2796.2003.01229.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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