The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Overweight and obesity in Australia: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab)
Abstract
OBJECTIVE: To measure the prevalence of obesity in Australian adults and to examine the associations of obesity with socioeconomic and lifestyle factors. DESIGN: AusDiab, a cross-sectional study conducted between May 1999 and December 2000, involved participants from 42 randomly selected districts throughout Australia. PARTICIPANTS: Of 20,347 eligible people aged > or = 25 years who completed a household interview, 11,247 attended the physical examination at local survey sites (response rate, 55%). MAIN OUTCOME MEASURES: Overweight and obesity defined by body mass index (BMI; kg/m(2)) and waist circumference (cm); sociodemographic factors (including smoking, physical activity and television viewing time). RESULTS: The prevalence of overweight and obesity (BMI > or = 25.0 kg/m(2); waist circumference > 80.0 cm [women] or > or = 94.0 cm [men]) in both sexes was almost 60%, defined by either BMI or waist circumference. The prevalence of obesity was 2.5 times higher than in 1980. Using waist circumference, the prevalence of obesity was higher in women than men (34.1% v 26.8%; P < 0.01). Lower educational status, higher television viewing time and lower physical activity time were each strongly associated with obesity, with television viewing time showing a stronger relationship than physical activity time. CONCLUSIONS: The prevalence of obesity in Australia has more than doubled in the past 20 years. Strong positive associations between obesity and each of television viewing time and lower physical activity time confirm the influence of sedentary lifestyles on obesity, and underline the potential benefits of reducing sedentary behaviour, as well as increasing physical activity, to curb the obesity epidemic.
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
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
Salmon, J., Bauman, A., Crawford, D., Timperio, A., & Owen, N. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801203 · Cited by 297
Cited by
Hamilton, M. T., Hamilton, D. G., & Zderic, T. W. (2007) · Diabetes · doi:10.2337/db07-0882 · Cited by 1,655
Dunstan, D. W., Barr, E. L. M., Healy, G. N., Salmon, J., Shaw, J. E., Balkau, B., Magliano, D. J., Cameron, A. J., Zimmet, P. Z., & Owen, N. (2010) · Circulation · doi:10.1161/circulationaha.109.894824 · Cited by 825
Self-citationThe prevalence and impact of overweight and obesity in an Australian obstetric population
Callaway, L. K., Chang, A. M., McIntyre, H. D., & Prins, J. B. (2006) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2006.tb00115.x · Cited by 634
Homan, G. F., Davies, M., & Norman, R. (2007) · Human Reproduction Update · doi:10.1093/humupd/dml056 · Cited by 546
The effect of obesity on polycystic ovary syndrome: a systematic review and meta‐analysis
Lim, S. S., Norman, R. J., Davies, M. J., & Moran, L. J. (2013) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01053.x · Cited by 539
Diabetes and its drivers: the largest epidemic in human history?
Zimmet, P. Z. (2017) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-016-0039-3 · Cited by 338
Self-citationWaist-hip ratio is the dominant risk factor predicting cardiovascular death in Australia
Welborn, T. A., Dhaliwal, S. S., & Bennett, S. A. (2003) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2003.tb05704.x · Cited by 264
Self-citationObesity and cancer: existing and new hypotheses for a causal connection
Stone, T. W., McPherson, M., & Gail Darlington, L. (2018) · eBioMedicine · doi:10.1016/j.ebiom.2018.02.022 · Cited by 262
Richards, J. L., Yap, Y. A., McLeod, K. H., Mackay, C. R., & Mariño, E. (2016) · Clinical & Translational Immunology · doi:10.1038/cti.2016.29 · Cited by 250
Dunstan, D. W., Salmon, J., Owen, N., Armstrong, T., Zimmet, P. Z., Welborn, T. A., Cameron, A. J., Dwyer, T., Jolley, D., Shaw, J. E., et al. (2004) · Diabetes Care · doi:10.2337/diacare.27.11.2603 · Cited by 250
Self-citationBrinkworth, G. D., Noakes, M., Keogh, J. B., Luscombe, N. D., Wittert, G. A., & Clifton, P. M. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802617 · Cited by 245
Antic, N. A., Buchan, C., Esterman, A., Hensley, M., Naughton, M. T., Rowland, S., Williamson, B., Windler, S., Eckermann, S., & McEvoy, R. D. (2009) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200810-1558oc · Cited by 227
The burden of overweight and obesity in the Asia–Pacific region
Asia Pacific Cohort Studies Collaboration (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2006.00292.x · Cited by 220
Sartorius, G., Spasevska, S., Idan, A., Turner, L., Forbes, E., Zamojska, A., Allan, C. A., Ly, L. P., Conway, A. J., McLachlan, R. I., et al. (2012) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2012.04432.x · Cited by 209
Epidemiology of osteoarthritis in Australia
March, L. M., & Bagga, H. (2004) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2004.tb05906.x · Cited by 205
The prevalence and determinants of obesity in adults with intellectual disabilities
Melville, C. A., Hamilton, S., Hankey, C. R., Miller, S., & Boyle, S. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2006.00296.x · Cited by 170
Prolonged sitting: is it a distinct coronary heart disease risk factor?
Dunstan, D. W., Thorp, A. A., & Healy, G. N. (2011) · Current Opinion in Cardiology · doi:10.1097/hco.0b013e3283496605 · Cited by 166
Self-citationSicree, R. A., Zimmet, P. Z., Dunstan, D. W., Cameron, A. J., Welborn, T. A., & Shaw, J. E. (2008) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02362.x · Cited by 155
Self-citationReducing Attrition in Physical Activity Programs for Older Adults
Jancey, J., Lee, A., Howat, P., Clarke, A., Wang, K., & Shilton, T. (2007) · Journal of Aging and Physical Activity · doi:10.1123/japa.15.2.152 · Cited by 136
Maloney, S. K., & Forbes, C. F. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-010-0320-6 · Cited by 96
Chen, Y.-K., Liu, T.-T., Teia, F. K. F., & Xie, M.-Z. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1218880 · Cited by 74
Cleland, V., Dwyer, T., Blizzard, L., & Venn, A. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-14 · Cited by 61
Non-exercise activity thermogenesis (NEAT): A component of total daily energy expenditure
Chung, N., Park, M.-Y., Kim, J., Park, H.-Y., Hwang, H., Lee, C.-H., Han, J.-S., So, J., Park, J., & Lim, K. (2018) · Journal of Exercise Nutrition & Biochemistry · doi:10.20463/jenb.2018.0013 · Cited by 57
Decreasing trends in overweight and obesity among an Australian population of preschool children
Nichols, M. S., Silva-Sanigorski, A. D., Cleary, J. E., Goldfeld, S. R., Colahan, A., & Swinburn, B. A. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.64 · Cited by 48
Overweight and obesity knowledge prior to pregnancy: a survey study
Nitert, M. D., Foxcroft, K. F., Lust, K., Fagermo, N., Lawlor, D. A., O'Callaghan, M., Mcintyre, H. D., & Callaway, L. K. (2011) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-11-96 · Cited by 46
Characterization of polycystic ovary syndrome among Flo app users around the world
Jain, T., Negris, O., Brown, D., Galic, I., Salimgaraev, R., & Zhaunova, L. (2021) · Reproductive Biology and Endocrinology · doi:10.1186/s12958-021-00719-y · Cited by 37
Assessing Self-efficacy and Self-help Methods in Women with and without Polycystic Ovary Syndrome
Kozica, S. L., Gibson-Helm, M. E., Teede, H. J., & Moran, L. J. (2013) · Behavioral Medicine · doi:10.1080/08964289.2012.720312 · Cited by 31
Metadata
- Authors
- Cameron, A. J., Zimmet, P. Z., Dunstan, D. W., Dalton, M., Shaw, J. E., Welborn, T. A., Owen, N., Salmon, J., & Jolley, D.
- Venue
- Medical Journal of Australia
- Publisher
- Wiley
- Published
- 2003-05
- Volume
- 178
- Issue
- 9
- Pages
- 427-432
- ISSN
- 0025-729X (ISSN-L)
- 1326-5377
- OpenAlex
- W2153278365
- Cited by
- 596
- References
- 2
- FWCI
- 37.91
- 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.
