Waist circumference has heterogeneous impact on development of diabetes in different populations : Longitudinal comparative study between Australia and Iran

Rostambeigi, Nassir, Shaw, Jonathan E., Atkins, Robert C., Ghanbarian, Arash, Cameron, Adrian J., Forbes, Andrew, Momenan, Amirabbas, Hadaegh, Farzad, Mirmiran, Parvin, Zimmet, Paul Z., Azizi, Fereidoun and Tonkin, Andrew M. 2010, Waist circumference has heterogeneous impact on development of diabetes in different populations : Longitudinal comparative study between Australia and Iran, Diabetes research and clinical practice, vol. 88, no. 1, pp. 117-124.

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Title Waist circumference has heterogeneous impact on development of diabetes in different populations : Longitudinal comparative study between Australia and Iran
Author(s) Rostambeigi, Nassir
Shaw, Jonathan E.
Atkins, Robert C.
Ghanbarian, Arash
Cameron, Adrian J.
Forbes, Andrew
Momenan, Amirabbas
Hadaegh, Farzad
Mirmiran, Parvin
Zimmet, Paul Z.
Azizi, Fereidoun
Tonkin, Andrew M.
Journal name Diabetes research and clinical practice
Volume number 88
Issue number 1
Start page 117
End page 124
Total pages 8
Publisher Elsevier Science Publishers B.V.
Place of publication Amsterdam, The Netherlands
Publication date 2010-04
ISSN 0168-8227
1872-8227
Keyword(s) obesity
waist circumference
metabolic syndrome
diabetes
heterogeneity
ethnicity
Summary Aims : Comparing waist circumference (WC) role in diabetes risk prediction and diagnosis of metabolic syndrome (MS) in different populations.

Methods : Population-based samples from Australia (n = 9026) and Iran (n = 8259) were studied in 2000 and followed for 4 years. Follow-up attendance was 58% and mean age was 51 vs. 47. Pearson correlations calculated between WC and other MS components. ROC for the role of WC in the prediction of incident diabetes was used.

Results : Prevalences of MS (48% vs. 28%), an increased WC (58.5% vs. 54.5%), low HDL-C (35% vs. 11.2%), high triglyceride (52.2% vs. 29.6%) were significantly higher in Iran. Fasting glucose ≥5.6 mmol/L was higher in Australia (26% vs. 23%). Hypertension was no different (38%). Pearson correlations between WC and other MS components were stronger in Australians: FPG (0.32 vs. 0.2), HDL (0.47 vs. 0.16), TG (0.38 vs. 0.30) and SBP (0.38 vs. 0.36). Among women, area under ROC curve for WC as a predictor for diabetes was significantly higher for Australians (0.76 vs. 0.68, p < 0.001) with no difference among men (0.69 vs. 0.71, p = 0.4).

Conclusion : WC was more strongly related to other components of MS in Australia. Association between WC and MS or incident diabetes varies between ethnicities.
Language eng
Field of Research 110306 Endocrinology
111716 Preventive Medicine
Socio Economic Objective 920104 Diabetes
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2009, Elsevier Ireland Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029037

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